Experiential learning provides students with opportunities to apply knowledge in real-world contexts. This approach emphasizes active participation rather than passive memorization. Students who engage in hands-on learning often develop deeper understanding and stronger problem-solving abilities. The summer months have become a prime time for such experiences. During this period, young learners can explore programs that challenge them academically and personally. These opportunities help them strengthen critical skills while preparing for the future.
When students step outside traditional classrooms, they discover how learning connects with everyday life. Projects, interactive sessions, and collaborations allow them to test their abilities. This process encourages adaptability and resilience, which are valuable for future academic transitions. Families and educators increasingly recognize the importance of experiential education. It offers students the chance to build independence and confidence. As a result, these experiences can transform the way students approach both education and personal growth.
Building Skills Through Online Opportunities
Experiential learning can also thrive in digital spaces, where students explore flexible and interactive lessons. Many courses incorporate projects, group discussions, and creative assignments to simulate real-world applications. This variety enhances learning by encouraging students to apply knowledge in practical ways. Online programs also allow students to adapt their pace and schedule to personal needs. By managing coursework independently, they sharpen self-discipline and organizational skills. These qualities remain valuable throughout college and professional life. Participation insummer online courses for high school studentsreinforces digital literacy while building confidence for future studies. Ultimately, this type of learning environment strengthens independence and academic readiness.
Technology-driven learning also fosters collaboration across locations. Students connect with peers from different regions, broadening cultural awareness and communication skills. Instructors encourage teamwork by assigning tasks that require shared problem-solving. This creates a dynamic setting where students learn to respect different viewpoints. Additionally, digital platforms expose them to tools and practices used in higher education and modern workplaces. Such exposure reduces anxiety about future transitions. Online experiential programs give students a taste of both independence and collaboration. These lessons contribute to long-term success beyond the summer season.
Gaining Perspective from Campus Immersion
Immersive opportunities bring experiential learning into authentic university environments. Participants experience the demands of managing schedules, living in dorms, and adapting to new communities. Academic content is designed to challenge students at a higher level, preparing them for the transition to college. Such exposure builds study habits, discipline, and resilience. Beyond academics, campus immersion introduces cultural and social diversity through peer collaboration. Students also gain the ability to adapt to new perspectives and challenges. Many families find that thebest pre college programs provide this realistic preparation in ways that regular schooling cannot. These experiences ultimately give teenagers confidence as they prepare for higher education.
Beyond the academic focus, campus immersion creates opportunities for building connections. Teenagers meet peers from across regions, often forming friendships that last into college and beyond. Group projects help them develop problem-solving strategies with diverse teams. These skills not only enhance academic outcomes but also prepare them for future workplaces. In addition, exposure to different teaching styles helps students adjust to varied expectations. They become comfortable with lectures, seminars, and project-based formats. All of these elements combine to provide a true preview of college life. Such preparation makes the transition into higher education smoother and more rewarding.
Creating Growth Through Structured Summer Activities
Experiential education also thrives in programs that combine classroom learning with enrichment opportunities. Students may participate in workshops, labs, or service projects that highlight practical applications of knowledge. These activities promote teamwork, adaptability, and communication. Parents value the structure and guidance these experiences provide, while students enjoy the sense of achievement that comes with progress. Exposure to creative subjects alongside academics helps learners develop balanced skills. By the end of summer, they return to school with confidence and discipline that support future growth. Families who seek summer programs for high school students often discover that these options transform free time into meaningful development. The result is a season that contributes to both academic and personal success.
The variety offered by structured programs ensures well-rounded growth. Students may explore science, arts, leadership, or service while developing resilience and adaptability. Exposure to new subjects encourages exploration of potential career paths. At the same time, supervised activities create a safe and supportive environment. Parents appreciate the structure, while students enjoy the chance to challenge themselves. By the end of the summer, participants return to school with sharpened skills and greater confidence. Their achievements demonstrate the value of experiential learning beyond traditional classrooms. With each summer, these programs foster progress that extends well into the future.
Developing Global Perspectives Through Travel
Experiential learning often extends beyond familiar environments into international settings. Travel-based opportunities allow students to experience education in ways that expand cultural awareness and adaptability. When teenagers engage in programs abroad, they encounter different languages, customs, and academic styles. These interactions broaden perspectives and strengthen communication skills. Exposure to global diversity helps students recognize the value of collaboration across cultures. They also develop independence as they adapt to new surroundings far from home. The challenges of navigating unfamiliar spaces encourage resilience and resourcefulness. Each experience contributes to personal maturity and a deeper understanding of the world.
Academic enrichment is also a central part of international learning. Students may explore history, science, or literature while visiting locations that bring these subjects to life. Lessons gained from cultural immersion reinforce classroom knowledge with vivid, real-world examples. Programs often incorporate service projects or research activities that connect with local communities. These opportunities highlight the importance of empathy, responsibility, and social awareness. By contributing meaningfully in new contexts, students learn to view education as a tool for global impact. The combination of travel and study promotes growth that extends far beyond academic achievement. It nurtures a mindset prepared for both college and future careers.
Encouraging Creativity Through Experiential Learning
Experiential learning does more than strengthen academic foundations; it also sparks creativity. Programs that include problem-solving challenges, artistic projects, and innovation-focused activities allow students to think beyond standard classroom methods. By experimenting with ideas and testing different approaches, learners develop confidence in their creative abilities. This type of exploration also encourages resilience when solutions do not work as planned. Students quickly realize that mistakes are part of the process and can lead to new discoveries. Creative expression through design, writing, or performance supports both personal and intellectual growth. These opportunities help students build adaptable skills that are valuable in every discipline. The process nurtures innovative thinkers who are prepared for the demands of a changing world.
Creativity also promotes engagement, making learning feel more meaningful. When students are invited to design solutions or create original projects, they often retain knowledge more effectively. Programs that emphasize experimentation show them the value of curiosity and open-mindedness. Students discover connections between subjects, blending science, art, and technology in ways that spark interest. This cross-disciplinary approach mirrors the realities of many modern careers. It also helps teenagers develop problem-solving skills that extend beyond academics. The freedom to innovate empowers them to approach challenges with confidence. By fostering creativity, experiential learning ensures students are not only knowledgeable but also imaginative in their pursuits.
Wrap Up
Experiential learning stands out because it transforms knowledge into action. When students take part in activities that challenge and inspire, they build skills that last a lifetime. Online learning sharpens independence and digital fluency. Campus immersion offers a glimpse of higher education and fosters adaptability. Structured programs balance academics with creative outlets that expand personal growth. Each of these opportunities provides unique experiences that shape how students approach the future. The cumulative effect strengthens both academic readiness and personal development. Learning becomes not just about facts, but about understanding and application.
These benefits demonstrate that education does not pause when the school year ends. Students can grow through carefully chosen experiences that prepare them for upcoming challenges. Families who encourage participation in such programs help build strong foundations for success. Educators also play a role in guiding students toward opportunities that match their interests and strengths. With exposure to real-world applications, students learn to navigate complexity with resilience. They become more confident in their abilities and more curious about possibilities. The result is a generation better prepared for academic and professional demands. Experiential learning ultimately shapes students into adaptable, capable, and forward-looking individuals.
When a young Vitalii Tkachenko assembled the parts for his first invention in a school workshop in Donetsk, few could have imagined that this project would symbolize the beginning of a remarkable journey. At the time, it was merely a competition prototype — a hydraulic tricycle built from improvised materials, designed with a system that enabled movement with minimal energy expenditure. Yet even then, the qualities that would later define his career as an engineer and entrepreneur were already visible: the ability to combine technical boldness with practical results.
Today, the name Vitalii Tkachenko is recognized in professional circles across the United States as a symbol of innovative thinking in automotive engineering and vehicle restoration. He is ASE-certified, the founder of The Guaranteed Best Choice, an entrepreneur with annual revenues exceeding $5 million, and a figure whose work fuses advanced mechanics, digital technologies, and environmental responsibility.
From Inventor to Systems Engineer The hydraulic tricycle, which earned him second place in a national engineering competition, was far more than a school project. It was proof of his ingenuity, his capacity for systemic thinking, and his ability to propose solutions ahead of their time. “I was always searching for ways to use energy as efficiently as possible,” Tkachenko recalls. “With the tricycle, my goal was to show that it is possible to design a vehicle that combines structural simplicity with energy performance disproportionate to its size.”
This early experience laid the foundation for his later path: the ability to see not just a “problem” but the “potential for restoration and improvement.” It would ultimately shape his approach to vehicles that many discard as scrap but which he views as resources for a second life.
ASE Certification and New Standards of Quality In the United States, Tkachenko pursued a path of structured development. Obtaining ASE certification was a milestone, representing not only professional competence but also adherence to a high standard of engineering culture. For him, it was confirmation that his methods of repair and restoration met global benchmarks. “Certification gave me not only access to advanced technologies but also the confidence that my practices aligned with international standards,” he notes.
Innovation in the Digital Era: AI for Auctions A true challenge arose as the automotive market underwent digital transformation. Online auctions, digital catalogs, and data repositories reshaped the industry but also introduced new risks: counterfeit VIN numbers, outdated photographs, and hidden damage records. Tkachenko was among the first to propose technological solutions that extended beyond traditional engineering: the integration of artificial intelligence to analyze images and diagnose vehicle damage.
His idea is both simple and profound: if machines can be trained to detect defects on assembly lines, they can also be trained to identify flaws in auction photographs. The AI system he envisions can assess image quality, detect concealed damage, and produce objective reports for buyers. “Technology is not a threat. It is a tool that can restore fairness and transparency to the market,” Tkachenko emphasizes.
Patents and Engineering Developments Over the years, he has accumulated not only the experience of restoring more than a thousand vehicles but also a portfolio of engineering innovations. These include projects to optimize hydraulic systems, prototypes for diagnosing hybrid and electric vehicles, and concepts for integrating “smart” monitoring modules into vehicles throughout their operational life cycle. His patents and applications reflect a persistent drive to merge traditional mechanics with modern digital technologies, making transportation safer, more reliable, and more durable.
An Engineer of the Future and an Industry Leader Tkachenko today is more than an entrepreneur. He is the architect of a new engineering philosophy: restoration instead of disposal, transparency instead of opacity. His company now operates in more than twenty states, supported by a network of subcontractors, inspectors, suppliers, and logistics providers. This is no longer a local business but a model of the future automotive industry — one driven by knowledge, technology, and responsibility.
His formula for success blends several elements: a foundation in engineering education, practical inventiveness, a readiness to embrace innovation, and an uncompromising ethical stance. This unique combination transforms him from an “ordinary engineer” into a visionary who can rightly be called an engineer of the future.
Looking Ahead Today, Tkachenko speaks not only of business but of mission. He envisions a future where vehicle restoration becomes an official, certified component of the U.S. automotive ecosystem. A future where federal programs support not only the production of new EVs but also engineering initiatives to bring existing assets back to life. A future where young engineers are trained not only to invent the new but also to perfect the existing.
“I believe America can become the global leader in sustainable vehicle restoration,” he says. “For that, we need standards, we need technology, and we need integrity. I want to be part of this story. And I know we are capable of writing it.”
The story of Vitalii Tkachenko illustrates that the engineer of the future is not someone waiting for the next breakthrough technology, but someone who creates it today — combining ingenuity, science, and responsibility. This is why his name is increasingly present not only in business discussions but also in scientific and environmental debates.
In recent years, the ridesharing industry has been rocked by serious allegations of sexual assault against passengers. Two of the biggest players, Uber and Lyft, have faced scrutiny over their handling of these incidents, prompting legal action and a closer examination of their safety policies. The implications of these lawsuits extend beyond the companies themselves, highlighting a pervasive issue within the gig economy. Below, we explore the multifaceted aspects of this pressing topic and what it suggests about the future of rideshare services.
Legal Battles: Examining the Uber and Lyft Sexual Assault Lawsuit
The legal challenges confronting Uber and Lyft are emblematic of a larger dispute within the gig economy: the balance between innovation, convenience, and consumer protection. The Uber Lyft sexual assault lawsuit represents a significant turning point, where victims are seeking accountability through the courts. The lawsuits allege that the companies were negligent in preventing assaults and have not done enough to ensure rider safety.
Central to these legal proceedings is the debate over whether the companies can be held liable for acts committed by their drivers. The suits challenge the assertion that drivers are simply third-party contractors, and argue that the companies should bear responsibility for the drivers’ actions. This has potential implications for labor laws and the nature of gig employment.
The course of these lawsuits is still unfolding, with both Uber and Lyft facing mounting pressure to make systemic changes. The outcomes of these cases could set a precedent for how similar future claims are handled, and whether rideshare companies will be compelled to overhaul their safety measures and employment practices.
The Ripple Effect: How Rideshare Litigation Impacts Passenger Safety
The implications of the rideshare litigation are far-reaching, potentially influencing how safety is prioritized across the entire industry. Each legal action serves as a litmus test for the robustness of the companies’ duty of care towards their passengers. This scrutiny has prompted both Uber and Lyft to introduce new safety features, such as in-app emergency buttons and better tracking of rides in progress.
The heightened awareness around rider safety has also led to broader discussions about industry regulations. Policymakers are considering stricter measures, such as mandating comprehensive background checks and establishing clearer channels for reporting and addressing safety concerns. These policy shifts could ensure a higher standard of safety industry-wide.
Furthermore, the litigation has catalyzed other companies within the gig economy to reassess their policies and practices. The objective is clear: to prevent similar incidents from occurring under their watch. The growing demand for accountability is likely to spawn more robust and proactive measures to protect both passengers and drivers.
Voices Heard: Survivors and Advocates Fueling Change in Ridesharing Policies
The surge in rideshare-related sexual assault lawsuits has brought the voices of survivors and advocates to the forefront. The courage of these individuals in sharing their stories has been instrumental in driving policy changes and raising awareness about safety on platforms like Uber and Lyft. These advocates have highlighted systematic failures and have been a driving force in demanding improved safety protocols.
Survivors have utilized social media, interviews, and public speaking events to shed light on their disturbing experiences, challenging the image of ridesharing companies as safe alternatives to traditional transportation. This has created a dialogue that extends beyond the courtroom, influencing public perception and encouraging others to come forward with their own experiences.
Navigating the Road Ahead: What This Means for the Future of Rideshare Services
The ongoing lawsuits and discussions surrounding Uber and Lyft’s sexual assault allegations are indicative of a broader concern: the future of rideshare services hangs in the balance. As the legal battles progress, the outcome will undoubtedly play a significant role in shaping the industry’s regulatory landscape. Increased public scrutiny is expected to continue to drive innovation in safety measures and operational transparency for these platforms.
For the companies themselves, the pressure to refine their systems for vetting drivers and responding to allegations is immense. They must navigate a fine line between providing seamless service and ensuring the utmost safety of their passengers. Investment in technology and human resources will be crucial in making ridesharing a more trustworthy mode of transportation.
Overall, these legal and social pressures are reshaping the rideshare industry profoundly. They are leading to significant changes in policies and practices that will ultimately benefit passengers. The conversation started by these lawsuits is a powerful reminder that the customer’s well-being must always be the top priority for service providers, particularly in the fast-evolving world of the gig economy.
As decentralized applications (dApps) evolve and blockchain ecosystems continue to fragment across various networks, the demand for high-performance, resilient infrastructure has never been more critical. Spectrum, a global Remote Procedure Call (RPC) provider, is addressing this demand by offering a bare-metal RPC network capable of handling over one billion requests daily across more than 175 blockchain networks.
This article delves into Spectrum’s unique infrastructure model, which centers on decentralization, scalability, and developer support. Unlike many of its competitors who rely heavily on cloud platforms, Spectrum operates its own self-hosted servers across multiple continents, offering consistent latency and higher throughput for mission-critical web3 applications.
One of Spectrum’s most distinctive features is its reliance on bare-metal infrastructure. Instead of depending on centralized cloud services, Spectrum uses dedicated physical servers. These servers are load-balanced and strategically distributed to support global blockchain traffic efficiently and reliably. This setup significantly reduces latency spikes and helps prevent outages, which are common pitfalls in cloud-based systems, especially during high-traffic events like NFT launches or DeFi protocol upgrades.
This commitment to decentralization ensures that Spectrum avoids single points of failure. Its infrastructure can maintain operational integrity even when demand surges—an essential trait for web3 systems that rely on real-time responsiveness.
Broad Network Coverage and Developer-Centric Design
Spectrum supports over 175 blockchain networks, encompassing a broad range of ecosystems: EVM-compatible chains like Ethereum, Layer 1s and Layer 2s, zero-knowledge rollups, privacy-focused blockchains, and even oracle networks. Its platform is engineered to offer a seamless and consistent developer experience regardless of the chain being accessed.
Developers can use standardized multichain RPC endpoints that provide reliable data access and transaction support. Whether working on a data-heavy Cosmos project or interacting with zk-enabled chains, Spectrum delivers a unified backend infrastructure that simplifies cross-network development.
Going Beyond RPC: Data Infrastructure and Real-Time Analytics
Spectrum is also positioning itself as a data-centric platform for the web3 ecosystem. The company is investing heavily in data indexing, transformation pipelines, and real-time analytics tools. These components elevate Spectrum from a mere RPC provider to an essential data layer for decentralized finance, blockchain analytics, and emerging AI-driven applications.
With features like indexed data access and custom APIs, developers can build more intelligent and data-aware dApps. These capabilities are especially useful for DeFi protocols that require accurate and fast on-chain information or for AI systems that need real-time blockchain data feeds.
Security and Control for Enterprise Applications
Security remains a priority for Spectrum. By maintaining full control over its physical infrastructure, the platform ensures enhanced observability and safeguards, which are vital for enterprise-grade applications and financial platforms that require compliance and data integrity.
This physical control translates into better service predictability and transparency—key attributes for businesses operating in heavily regulated environments.
Preparing for the Future of Web3
Spectrum’s roadmap indicates a broader ambition beyond RPC services. Upcoming integrations include AI and LLM (large language model) interfaces, advanced analytics capabilities, and customizable APIs for industry-specific needs. These features aim to establish Spectrum as a foundational infrastructure layer for the next wave of decentralized technologies.
As blockchain technology grows more complex and interwoven, infrastructure providers like Spectrum will play a central role in maintaining performance, security, and scalability. With its bare-metal backbone and commitment to innovation, Spectrum is well-positioned to become a cornerstone of the future decentralized internet.
Customer Relationship Management (CRM) is a strategic approach that combines technology, processes, and people to manage an organization’s interactions with current and potential customers. It focuses on building long-term, mutually beneficial relationships to increase customer satisfaction, retention, and profitability.
In simple terms, CRM is both a business philosophy and a technology platform that helps businesses understand their customers better, serve them more effectively, and ultimately grow.
2. Objectives of CRM
Enhancing Customer Satisfaction – By providing personalized and timely service.
Increasing Customer Retention – Maintaining loyalty through continuous engagement.
Boosting Sales and Revenue – Through better targeting, upselling, and cross-selling.
Streamlining Business Processes – Automating tasks such as lead tracking, follow-ups, and reporting.
Improving Decision-Making – Using customer data to guide marketing, sales, and service strategies.
The primary aim of CRM is to create a seamless and consistent customer experience across all touchpoints. By aligning company goals with customer needs, CRM not only increases loyalty but also improves profitability and operational efficiency.
3. Types of CRM
Operational CRM – Focuses on automating and improving customer-facing processes.
Analytical CRM – Focuses on analyzing customer data for decision-making.
Collaborative CRM – Aims to improve communication between different departments and with customers.
Each type of CRM addresses a different business need. Operational CRM streamlines day-to-day activities, Analytical CRM turns raw data into actionable insights, and Collaborative CRM ensures that every department has access to the same customer information for consistent service delivery. There is one example, JIRA CRM.
4. Core Features of CRM Systems
Contact Management – Storing customer details, communication history, and preferences.
Lead Management – Capturing, tracking, and nurturing leads.
Sales Pipeline Management – Tracking deals at various stages.
Marketing Automation – Running and measuring marketing campaigns.
Customer Support & Service – Managing complaints, queries, and support tickets.
Integration Capabilities – Connecting with ERP, email, social media, and payment systems.
Mobile CRM – Accessing customer data on-the-go.
These features provide a centralized platform for managing all customer-related activities. By automating repetitive tasks and integrating with other business tools, CRM ensures efficiency while giving decision-makers real-time access to important customer data.
5. CRM Process
Customer Acquisition – Attracting potential customers through campaigns and outreach.
Customer Profiling – Collecting demographic, behavioral, and transactional data.
Lead Nurturing & Conversion – Engaging leads and converting them into customers.
Customer Service & Support – Offering post-purchase assistance.
Retention & Loyalty Building – Creating programs and follow-ups to keep customers engaged.
Continuous Improvement – Refining strategies based on analysis and feedback.
The CRM process is cyclical, starting with customer acquisition and continuing through service and retention. Feedback and data analysis feed back into the process, enabling businesses to continually improve their relationship strategies.
6. Benefits of CRM
Improved Customer Experience – By knowing customer needs and preferences.
Increased Sales Efficiency – Through automation and targeted outreach.
Data-Driven Decision Making – Using analytics to guide strategy.
Better Collaboration – Ensuring marketing, sales, and service teams work in sync.
Higher Customer Retention – Building trust and loyalty.
Reduced Costs – By optimizing marketing and operational efforts.
A well-implemented CRM system delivers tangible returns. It helps organizations convert more leads into customers, retain existing ones longer, and maximize the lifetime value of every relationship while minimizing operational inefficiencies.
7. Popular CRM Software Solutions
Salesforce – Cloud-based, customizable, widely used across industries.
HubSpot CRM – Free and integrated with marketing tools.
Zoho CRM – Affordable and feature-rich.
Microsoft Dynamics 365 – Integrated with Microsoft ecosystem.
Pipedrive – Sales-focused, easy-to-use.
Freshsales – AI-powered CRM for small and medium businesses.
The choice of CRM software depends on a company’s size, budget, and specific needs. While Salesforce dominates enterprise-level deployments, tools like Zoho and HubSpot appeal to small businesses seeking cost-effective yet powerful solutions.
8. Challenges in CRM Implementation
High Initial Costs – Especially for premium cloud solutions.
Resistance to Change – Employees may be slow to adopt new systems.
Data Quality Issues – Inaccurate or outdated information can limit effectiveness.
Integration Problems – Connecting CRM with legacy systems can be complex.
Over-customization – Can make the system unnecessarily complicated.
Even though CRM brings great benefits, implementation challenges can slow adoption. Companies need strong leadership, proper training, and clean data to ensure CRM success.
9. Modern Trends in CRM
AI and Machine Learning – Predicting customer behavior and automating processes.
Social CRM – Engaging customers via social media channels.
Voice and Conversational CRM – Using chatbots and voice assistants.
Mobile-First CRM – Optimized for smartphones and tablets.
IoT-enabled CRM – Using connected device data for better service.
Customer Data Platforms (CDP) Integration – Centralizing customer information.
Modern CRM systems are becoming smarter and more connected. AI-driven insights, social media integration, and mobile accessibility are reshaping how companies interact with customers in real time.
10. Conclusion
CRM is more than just software — it’s a customer-centric business strategy. In today’s competitive market, where customer experience is a key differentiator, CRM helps businesses:
Understand their customers deeply
Provide personalized experiences
Drive loyalty and profitability
Organizations that effectively use CRM can transform customer relationships into long-term assets, resulting in sustainable business growth.
In the fast-moving world of digital advertising, fraud has become an expensive, evolving threat. Brands spend billions trying to capture attention online—only to have a significant slice of their budgets eaten up by bots, fake clicks, and deceptive placements. Ad fraud not only drains marketing dollars but also erodes trust in digital ecosystems and skews campaign performance data.
This article explores the current state of digital ad fraud, the methods fraudsters are using, and the tools that marketers and businesses can deploy to protect their investments.
Understanding the Scope of Ad Fraud
Digital ad fraud refers to any deliberate activity that manipulates ad delivery or reporting to generate illegitimate revenue. Common tactics include:
Click fraud: Repeated or automated clicks on pay-per-click ads, often without any real user interest.
Impression fraud: Generating fake ad views using bots or stacked ad units.
Domain spoofing: Misrepresenting low-quality or fraudulent sites as premium publishers.
Pixel stuffing: Hiding multiple ads within a single pixel to falsely increase impressions.
Ad injection: Inserting ads into websites without the publisher’s consent.
These tactics are increasingly automated and sophisticated, making them hard to detect without dedicated monitoring.
The Numbers Are Staggering
According to Statista, global losses from digital ad fraud were estimated to reach $84 billion by 2023, with projections indicating further increases as fraudsters adopt AI-driven techniques.
This means that for every dollar spent on digital advertising, a sizable portion could be going to fraudulent actors instead of real, interested customers.
Current Trends in Ad Fraud
Ad fraud doesn’t stand still—it evolves as fast as the technology used to stop it. Some of the latest trends include:
Mobile app fraud: Fake installs, hidden background clicks, and app spoofing are rampant on mobile platforms.
CTV (Connected TV) fraud: Fraudsters are exploiting the rise in streaming ads by spoofing devices and inflating impressions.
AI-generated bots: Bots that mimic real human behavior (mouse movement, dwell time, etc.) are getting harder to flag.
Affiliate marketing fraud: Fraudsters manipulate tracking links and cookies to claim credit for conversions they didn’t influence.
Understanding these new tactics is crucial for staying ahead of the curve—and avoiding wasted spend.
Tools and Techniques for Prevention
Fortunately, brands and advertisers don’t have to face this battle unarmed. There are several effective tools and strategies to combat fraud at different levels of the funnel:
Traffic validation tools: Platforms like click fraud detection software monitor and block fraudulent clicks in real time, especially on PPC platforms like Google Ads.
Ad verification services: Companies like DoubleVerify and Integral Ad Science help ensure ads are shown in safe, legitimate environments.
Bot detection APIs: Services such as HUMAN and Cloudflare can identify non-human traffic before it skews your data.
Third-party analytics: Independent attribution platforms can help cross-check ad performance and spot anomalies.
Blacklists and whitelists: Maintain updated lists of verified publishers and known fraudulent domains to manage placements more proactively.
The most effective strategy is a layered one—combining automated tools with manual audits and transparent data sharing between partners.
The Role of Regulation and Industry Standards
While tools can help, long-term solutions require stronger regulations and industry-wide cooperation. Organizations like the Interactive Advertising Bureau (IAB) and the Trustworthy Accountability Group (TAG) are working to create certification programs and transparent reporting practices.
Brands can support this by working only with certified partners and demanding better transparency from ad networks. Collective pressure helps close the loopholes fraudsters rely on.
Final Thoughts
Digital ad fraud isn’t going away—but it’s no longer something advertisers can afford to ignore. With fraud tactics growing more sophisticated, proactive defenses are essential. By staying informed, adopting the right tools, and demanding greater accountability from ad partners, marketers can protect their budgets and ensure their campaigns are reaching real people—not bots.
In today’s fast-paced urban economy, visual communication is more critical than ever—especially in business districts where competition is dense and attention spans are short. From mom-and-pop shops to corporate headquarters, signage plays a central role in how businesses attract foot traffic, build brand recognition, and differentiate themselves in crowded environments.
But beyond first impressions, signage also contributes to the overall vibrancy, accessibility, and economic potential of urban business districts. In this article, we explore how visual signage, including traditional, digital, and neon styles, impacts urban commercial zones and the people who navigate them.
Signage as a Driver of Consumer Behavior
Visual signage acts as the frontline communicator between a business and a potential customer. When done well, it can influence a passerby to stop, enter, or even make an unplanned purchase.
Research from the Small Business Administration shows that 20% to 45% of business sales come from impulse buys, often driven by eye-catching storefront signage. That’s not just marketing—it’s measurable consumer behavior shaped by visual cues.
In high-density urban areas, where storefronts compete for attention on every block, signage can tip the balance. It must be legible, well-lit, and distinctive enough to stand out without overwhelming the space.
Enhancing the Identity of Business Districts
When signage across a district is cohesive, well-maintained, and aligned with a city’s aesthetic or brand, it creates a sense of place. A visually consistent business zone is easier to navigate, more pleasant to explore, and more likely to retain visitors.
District branding is increasingly becoming part of urban planning strategies. Cities are working with business owners to install coordinated wayfinding systems, street signage, and storefront designs. This collective visual identity can increase walkability, support tourism, and help small businesses thrive by drawing attention to entire streetscapes rather than just individual locations.
Types of Signage That Make an Impact
While there’s no one-size-fits-all approach, several types of signage have shown significant influence in urban environments:
Blade signs that project perpendicular to the building, visible to sidewalk pedestrians
Window graphics that use typography, images, or decals to attract customers without blocking views
Digital displays for rotating promotions and menu boards, especially in high-traffic food or retail zones
Awning signage, combining function (shade/weather protection) with branding
Illuminated options, such as backlit panels or best neon signs for nightlife and entertainment districts
Each of these serves a different function—some aim to grab attention from afar, while others work best up close. The key is matching the signage type to the street dynamics and business goals.
Economic and Social Impacts
It’s easy to think of signage as just a marketing tool, but its impact reaches further. Vibrant signage can:
Increase dwell time in a neighborhood
Enhance perceived safety and cleanliness
Encourage night-time economy by keeping districts visually active after dark
Support local employment by boosting business revenue
Provide cultural storytelling or historical context, especially in heritage areas
From a policy standpoint, signage can also affect zoning, building codes, and business permit processes. Cities that simplify their signage ordinances while maintaining visual quality often see a faster rate of business turnover and district revitalization.
The Balancing Act: Visibility vs. Clutter
One challenge in urban areas is the risk of visual clutter. When too many signs compete for attention, the message gets lost—and districts can feel chaotic or disorganized. Effective signage balances visibility with aesthetics.
This is why many city planners now emphasize signage regulation as part of revitalization efforts. Design guidelines that limit font types, lighting styles, or sign sizes may seem restrictive, but they contribute to long-term vibrancy and coherence.
Final Thoughts
Visual signage in urban business districts isn’t just decoration—it’s infrastructure. It affects how people navigate cities, how they engage with businesses, and how districts evolve economically. In a digital-first world, the value of a strong, physical presence through smart signage remains a powerful—and often underappreciated—tool for urban growth.
A critical juncture in many industries, particularly those operating 24/7 or with complex processes is the shift handover. This seemingly routine transfer of responsibility from one team or individual to the next holds immense power – it can either reinforce a robust safety culture or introduce vulnerabilities that lead to incidents, errors, or even tragedies. In an increasingly interconnected and data-driven world, the traditional, often informal, shift handover software is no longer sufficient. Building a true culture of safety demands a smarter, more systematic approach, with technology playing a pivotal role in ensuring seamless, accurate, and comprehensive communication.
For decades, shift handovers have often relied on verbal communication, handwritten notes, and personal memory. While these methods can work in simple scenarios, they are inherently prone to significant risks in complex environments:
Information Gaps and Omissions
Verbal handovers are susceptible to critical information being forgotten, misunderstood, or simply not communicated. A hurried exchange can miss crucial details about equipment status, pending tasks, or emerging risks.
Ambiguity and Misinterpretation
Without standardized procedures or clear documentation, verbal instructions can be interpreted differently by the incoming team. This ambiguity can lead to incorrect actions, delays, or a failure to address pressing issues.
Lack of Accountability
When information is not formally documented, it becomes difficult to track who communicated what, and when. This lack of a clear audit trail can hinder investigations into incidents and make it challenging to assign responsibility or identify systemic weaknesses.
Fatigue and Distraction
Both outgoing and incoming shifts may be experiencing fatigue, especially during long shifts or at odd hours. This can impair their ability to effectively communicate or absorb critical information, leading to errors.
Inconsistent Practices
Without a standardized approach, each shift may develop its own informal handover rituals. This inconsistency can breed confusion and create disparities in the level of detail or attention given to critical safety information.
The Imperative of a Culture of Safety
A “culture of safety” is more than just a set of rules; it’s a shared commitment within an organization where safety is a core value, guiding every decision and action. In such a culture, employees feel empowered to speak up about concerns, learn from mistakes, and proactively identify and mitigate risks. Smart shift handover is not merely a procedural improvement; it is a fundamental pillar in establishing and sustaining this culture.
Elements of Smart Shift Handover
Transforming the shift handover from a potential weak link into a strength requires a multi-faceted approach, integrating technology, standardized processes, and a commitment to continuous improvement.
The Competitive Advantage of Safety Culture
Beyond the ethical imperative, building a strong culture of safety through smart shift handover offers tangible competitive advantages:
Reduced Incidents and Accidents: Fewer safety incidents lead to lower costs associated with repairs, downtime, insurance claims, and legal fees.
Enhanced Employee Morale and Retention: Employees feel safer, more valued, and more confident in their roles when clear communication and safety are prioritized.
Regulatory Compliance: Adherence to robust safety protocols often aligns with regulatory requirements, reducing the risk of fines and penalties.
Conclusion
The shift handover, often overlooked, is a linchpin in operational safety. By moving beyond traditional, error-prone methods and embracing smart shift handover strategies, organizations can fundamentally strengthen their culture of safety. This involves leveraging digital platforms for standardization, prioritizing comprehensive yet concise communication, fostering interactive collaboration, investing in thorough training, and committing to continuous improvement through robust feedback loops. The investment in smart shift handover is not just about preventing incidents; it’s about building a more resilient, efficient, and ultimately, more successful organization that prioritizes the well-being of its people and the integrity of its operations.
As automation continues to redefine business operations, one emerging player is showing what it truly means to hand over the reins to artificial intelligence. Solea AI, a San Francisco–based startup, is transforming how home service businesses operate — not by assisting human teams, but by fully replacing back-office functions with autonomous, real-time systems.
As explained in this article, Solea doesn’t position itself as just another digital tool. Instead, it presents its software as the operational core of a home services business — a fully automated office capable of managing customer interactions, appointments, and follow-up without the need for staff intervention. The platform handles inbound calls, recognizes returning clients, checks service history, and books appointments autonomously. It also sends confirmation messages, coordinates complex schedules, and even supports live agents with real-time prompts and decision logic during customer conversations.
The company was founded by Christopher Brodowski, Alexandre Delaitre, and Paul Muller — three technologists with backgrounds in computer vision, gaming infrastructure, and property tech systems. Brodowski’s early ventures in machine vision aimed to eliminate routine tasks in industrial environments. That same logic now powers Solea’s back-office systems, which are designed to offload repetitive, manual work. “Offices today are still built around phones, calendars, and humans juggling tasks,” says Brodowski. “We built Solea to take over that workload entirely.”
Delaitre, the CTO, previously developed high-frequency trading engines for gaming platforms, bringing expertise in real-time, high-availability systems that can’t afford to fail. His skills directly translate into Solea’s always-on call management and scheduling infrastructure. Meanwhile, Hilman, who worked on microservices and dispatch systems at Acre, contributes deep knowledge in the architecture of automated workflows and integration-heavy environments.
Solea is currently being used by a growing number of home service providers across the U.S., particularly those operating in fragmented or competitive regions. For these businesses, a missed call can easily mean a missed job — and lost revenue. Solea helps ensure continuity and responsiveness without the overhead of growing staff numbers. Its value proposition goes beyond cost savings, offering the ability to operate with consistency, speed, and scale, even under pressure.
What makes Solea stand out in the crowded AI space is its vertical specificity. While many AI tools attempt to be broadly applicable, Solea has been carefully built around the workflows unique to home services. It models technician scheduling, appointment rules, customer behavior patterns, compliance requirements, and even follow-up cadences. This level of specialization means Solea can outperform generalist tools in real-world service scenarios.
Looking ahead, the team continues to monitor emerging technologies such as blockchain and decentralized finance systems. They envision integrating secure transaction logging and innovative payment mechanisms that align with modern privacy and security demands.
In this vision, AI is not a background assistant but the system actually running the business. As more service-based companies look to scale without adding administrative burden, Solea’s approach suggests a clear shift: away from partial automation, and toward fully AI-driven infrastructure. The company’s model offers a powerful glimpse into how digital operations might be run in the near future — with AI not on the sidelines, but in the driver’s seat.
Emmanuella, O., OGUNRO, V. O., OLADIMEJI, S. B., IBOSIOLA, J. O., & ABUBAKAR, Y. S. (2026). Strategic Decision-Making Practices and Organizational Performance of Selected Pharmaceutical Firms in Owo, Ondo State. International Journal of Research, 12(4), 877–907. https://doi.org/10.26643/ijr/2026/22
The study investigates the relationship between strategic decision-making practuces and organizational performance of selected pharmaceutical firms in Owo, Ondo state. Intuition Strategic Decision-Making (ISDM), Rational Strategic Decision-Making (RSDM) and Participatory Strategic Decision-Making (PSDM) were used as proxy for measuring strategic decision-making practices while organizational performance was measured using productivity (PRD). Using the sample size of 94, 120 questionnaire were administered to staff of selected pharmaceutical firms in Owo and 116 was retrieved for analysis. Descriptive survey design was adopted. Descriptive statistics, correlation and multiple regression alongside ANOVA were carried for data analysis using SPSS (26). The findings revealed that intuition strategic decision-making (ISDM) and participatory strategic decision-making (PSDM) were positively and significantly related with organizational performance while rational strategic decision-making (RSDM) was positively and insignificantly related with organizational performance during the study under review. In concluaion, the study revealed that strategic decision-making practices is positively and significantly related with organizational performance. Furthermore, it indicates that strategic managers or decision makers worked with these practices in determining and providing solutions of treating issues that they may or have encounter by adopting these practices in actualizing their aims and objectives during the study under review. It was recommended that, firms should encourage the use of these SDM practices such as intuition strategic decision-making, rational strategic decision-making and participatory strategic decision making as it enhances performance of both the employees and organization.
Organizations do consider how strategic decisions are made and not only how it affects their activities and relationship with the environment though it differs between cultures as the implications and degree varies (Abubakar et al., 2019). The modern top managers’ responsibilities go beyond supervising internal activities which includes different tasks and the external environment where the business operates (George et al., 2019). Management do design procedures for strategic management to address factors that may influence an organizations’ ability to prosper and grow thereby achieving optimal positions (Anwar & Abdullah, 2021). According to Asikhia and Mba (2021) a good decision-maker chooses actions that might give best outcome after researching on the alternatives and consequences. Strategic decision-making is an important area in organization as it clearly shows the responsibility of the top management level. For enhanced organizational performance, quality decisions, team member participation, consensus are necessary (Yılmaz & Ameen, 2022).
The growth, productiveness and successes of any entrepreneurial firms or business organization in this contemporary period in the history of business wellness and stability depends mostly on effective strategic decision-making practices among decision makers in an organization (Eromafunu et al., 2022). Moreso, in todays’ competitive and dynamic business world, strategic decision-making is vital for organizations to lead or stay ahead and it strategic decision-making do encourages continual progress and organizational culture in terms of innovation. Thereby, managers may be able to identify areas that needs improvement and take advantage on new ideas by continuous testing or research and reassessing such ideas or strategies which will eventually lead to long-term success and growth (Gagan, 2023).
1.1 Statement of the Problem
Aladesoun et al. (2020) assert that in both private and public decision-making contexts, it is recognized that decisions yielding positive outcomes may also entail negative repercussions. A common challenge in decision-making processes, whether within organizations or under government oversight, is the potential for interference from organizational owners or the current administration. In certain organizations, governmental intervention presents a significant obstacle to effective decision-making, either through direct involvement in organizational operations or by influencing policy formulation that directly or indirectly impacts organizational functioning. Despite the persistent presence of such challenges, which range from management’s inability to make sound decisions to deficiencies in manpower and communication channels necessary for implementing decisions effectively, there remains a prevailing understanding of the importance of decision-making as a fundamental tool within every organization ((Malecka 2020).
The majority of management research tends to concentrate on decision-making within risky environments due to the feasibility of modeling and experimenting with expected utility maximization such as (Malel & Kemboi, 2019; Malecka 2020; Yilmaz & Ameen, 2022; Muzanenhamo & Chikosha, 2022). Academic scholars and practitioners emphasize the significance of strategic decision-making practices in evaluating organizational performance across various dimensions such as innovation, entrepreneurship, technology, knowledge, economics, healthcare, and overall organizational performance such as Ewah 2018; Sev et al. 2018; Alosani et al. 2020; Asikhia and Mba 2021; Al-Hashimi et al. 2021; Nauhaus et al. 2021; Sinnaiah et al. 2023 and revealed how strategic decision-making impacts on organizational performance.
Put differently, prior investigations into the characteristics or factors influencing the effectiveness of strategic decision-making have not produced widely applicable results or conclusions. Consequently, further empirical research is needed to ascertain which practices, characteristics or factors contribute to strategic decision-making effectiveness within organizations before definitive assertions can be made and this study aims to address this gap. Thus, the study investigated the relationship between strategic decision-making practices and organizational performance of selected pharmaceutical firms in Owo, Ondo state.
1.2 Research Questions
The under-listed research questions have been highlighted for this study:
i. Does intuition strategic decision-making influence organizational performance of pharmaceutical firms in Owo, Ondo State?
ii. To what extent has rational strategic decision-making impacted on organizational performance of selected pharmaceutical firms in Owo, Ondo state?
iii. Does participatory strategic decision-making influence organizational performance of selected pharmaceutical firms in Owo, Ondo state?
1.3 Research Objectives
This study seeks to:
i. Examine the influence of intuition strategic decision-making on organizational performance of selected pharmaceutical firms in Owo, Ondo state.
ii. ascertain to what extent rational strategic decision-making impacts on organizational performance of selected pharmaceutical firms in Owo, Ondo state.
iii. determine the influence of participatory strategic decision-making on organizational performance of selected pharmaceutical firms in Owo, Ondo state.
1.4 Scope of the Study
The study investigates the relationship between SDM practices and organizational performance using intuition strategic decision-making, rational strategic decision-making and participatory strategic decision-making in measuring SDM practices (independent variable) while productivity was used in measuring organizational performance (dependent variable). Descriptive research design was adopted using primary source of data with a sample size of 94 (ninety-four) which was done using stratified probability sampling technique of staff in selected pharmaceutical firms in Owo, Ondo state. Multiple regression analysis was carried out alongside ANOVA using SPSS version 26. The timeframe for this study was within the month of September, 2023 to February, 2024.
2.0 Literature Review
2.1 Organizational Performance
The main goal of any business is to make profit and to achieve this, organizations would put in place methods in attaining it and what drives organizations’ failure or success has been a vital subject in business which has led to investigating determinants of organizational performance (Taofeeq et al., 2019). Organizational performance has engaged the focus of many researches as performance most times are measured in monetary terms using indicators such as sales turnover, profitability. Though the interest in the research of performance is due to the fact it is the major primary objective of every business and the survival of the business depends solely on how profitable the outcome of the organization is (Orishede, 2020).
It also refers to as the capacity of a firm to realize set objectives thereby the organization achieve its goals through effective and efficient utilization of its resources and it can be reflected due to the results of the organizations’ common objectives and the method used or implemented are consistently used (Tsai et al., 2020; Sarraf & Nejad, 2020). According to Al-Hashimi et al. (2021) it can be defined as an analysis of an organizational performance as compared to its objectives and goals and it is measured in both financial and non-financial terms (Camilleri, 2021; Sinnaiah et al., 2023). Though there are different factors that can be related with organizational performance such as conflict, social influences, cross-cultural and organizational structures (Madume et al., 2024). For this study productivity will be use as proxy for organizational performance.
2.1.1 Productivity
Aladesoun et al. (2020) stated that performance of a business which determines its continued existence and development is largely dependent on the degree of productivity of its workers. Productivity is a total measure of the efficiency or capacity to transform inputs that is raw materials into finished products or services. Also, productivity is a measure that shows how well essential resources are used to achieve specified objectives in terms of quality and quantity within a given period of time. It is suitable when measuring the actual output produced compared to the input of resources, taking time into consideration (Omenazu, 2022).
2.2 Strategic Decision Making
The goal of strategic decision-making is to maximize an organizations long-term success by planning for the future (George et al., 2019). Making decisions that are important in terms of precedents created, actions performed or resources committed, strategic decision-making is a specific sort of decision-making and there is a difference between strategic decisions and tactical and operational ones (Abdullah & Othman, 2019). An important aspect of SDM is to assess the strength of organizational capacity is to maintain its position as regards changing environment as well as making daily choices and deal with issues (Adigbole et al., 2019; Ur Rehman et al., 2019). It is a systematic and logical move by top managers in choosing best approach to success in line with organizations’ long-term goals and expectations (Harappa, 2020; Aladesoun et al., 2020). It is often a non-routine and very important to organizations where top management usually plays important role which consists of competitive approaches and moves they developed to attracts customers (Osazevbaru, 2021).
According to Eromafunu et al. (2022) SDM has over-time surfaced as one of the main active phases of recent business researchers and management. Among different forms of decision- making facets, strategic decisions are very vital decisions and they play ilk central roles in any organization. SDM is very useful when addressing poorly structured issues for which there are no possible solution procedures (Asikhia & Mba, 2021). Thus, SDM involves the use of decision support systems including external and internal environmental factors that may influence the performance of managers while making decisions (Omenazu, 2022).
2.2.1 Intuition Strategic Decision-Making
One of the areas of strategic decision-making in an organization is where the strategic thinker is often based on his/her intuitive attributes in predicting what might happen and thereby take precaution steps to ascertain its expectations by nurturing the ideas being associated with inner feelings (Battaglio et al., 2019). Intuition is a fast mental perception of circumstances of decision based on past experiences without focus or reference on the main thinking of the subject matter to be decided and it is not unreasonable or administrative due to the fact that it is based on years of experience that enables top managers to opt for solutions to issues without must interest in hectic calculations as well as guesses (Ali, 2019). Though some researches have highlighted in their studies the roles of strategic thinking process among some managers within the concept of cognitive capacities which postulate that mental flexibility can influence it (Al-Jaifi and Al-Rassas, 2019; Barlach and Plonski, 2021).
Moreso, it is vital to know that making decisions depends on the problems faced by the organizations and not all problems or issues require and utilizing the process of intuition uses available information which may quicken the process of decision-making (Bozhinov et al., 2021; Sinnaiah et al., 2023).
2.2.2 Rational Strategic Decision-Making
This approach of strategic decision-making is linked by the existence of a specific and reliable detailed quantitative analysis of alternatives in decision taken thereby relatively state boundaries of the issue being analyzed and solution is identified by optimizing the selecting alternatives and development process (Deslatte, 2020). For decision-making it should be taken into consideration the efforts is to minimize risk, uncertainty, environmental instability amongst others which might influence and structure of decision-making mechanism based on hierarchical relationships that is being applied and predetermined in the organization (Nagtegaal et al., 2020; Acciarini et al., 2021).
Most scholars agree that this type of strategic decision-making will assist managers highlight issues, produce effective solutions, select the most important solutions and apply then evaluate the solution. (Hamidullah et al., 2021).
2.2.3 Participatory Strategic Decision-Making
According to Al-Hashimi et al. (2021) Participatory strategic decision-making refers to as the extent to which relevant people in organization are involved in the process of decision-making and it is the best way of securing dissemination of ideas for implementation. It should have a positive effect when successfully implemented due to the fact that it involves employees with sufficient knowledge and information of a particular circumstances or issues of place and time thereby diverse perspectives that are essential in making high quality decision (Aleksovska et al., 2021). Participatory strategic decision-making provides opportunities in achieving their agreed solutions, improved commitment and develop sense of ownership. With high level of this strategic decision-making practices, it is an important mechanism in increasing organizational adaptability to deal with uncertainties and unpredictable situations in the external environment during the process of implementation. Thus, participatory strategic decision-making also can demonstrate the objectivity of decisions to a multitude of accountability forums and increase equity (Cepiku & Mastrodascio, 2021).
2.4 Conceptual Framework
INTUITION STRATEGIC DECISION-MAKING
RATIONAL STRATEGIC DECISION-MAKING
PARTICIPATORY STRATEGIC DECISION-MAKING
STRATEGIC DECISION-MAKING PRACTICES
ORGANIZATIONAL PERFORMANCE
PRODUCTIVITY
Figure 2.0: Conceptual paradigm
(Researcher’s conceptualization, 2024)
From the diagram above, strategic decision-making practices (independent variable) is measured with intuition strategic decision-making, rational decision-making and participatory decision-making while organizational performance (dependent variable) is measured with productivity.
2.5 Theoretical Review
This study made use of Satisficing theory and Garbage-Can theory
2.5.1 Satisficing Theory
Simon (1957) introduced the concept of bounded rationality, which acknowledges that decision-makers face constraints such as limited information, time, and cognitive capacity due to the dynamic and competitive nature of industries and business environments. Instead of aiming for optimization, decision-makers operate within these limitations by working with simplified and restricted knowledge to arrive at satisfactory, compromise choices, a concept termed “satisficing” (Marshall, 1998). Simon argued against the existence of pure optimization in the real world, asserting that only “good enough” alternatives are attainable.
In contrast to the rational decision-making paradigm, bounded rationality emphasizes the pragmatic pursuit of satisfactory outcomes rather than exhaustive optimization (Williams, 2002). It acknowledges the inherent uncertainty and complexity of decision-making processes, recognizing that the search for the optimal solution may be endless, impractical, and costly. Instead, bounded rationality suggests that decision-makers are better served by accepting compromise solutions that adequately address the challenges they face, rather than endlessly seeking the elusive “best” solution (Ahmen et al., 2014; Elikwu & Mohammed, 2019).
2.5.2 Garbage-Can Theory
Cohen et al. (1972) were among the first to explore the garbage-can model within the realm of organizational decision-making (DM), aiming to refine and adapt prevailing theoretical frameworks to better understand empirical observations (Olsen, 2001). This model is widely regarded as the most unpredictable and fluid approach to strategic decision-making (SDM), typically manifesting in organizations grappling with high levels of uncertainty. Strategic decisions are triggered by participants’ attention to issues and opportunities, as well as their level of engagement in the decision-making process. These decisions unfold within environments characterized by incomplete rationality (Teasley & Harrell, 1996).
In complex environments, problems and solutions defy straightforward translation into a logical sequence of steps, as proposed by the rational decision-making model. Decision-making processes that deviate from the assumptions of traditional models are often labeled as “organized anarchies.” These environments typically exhibit three key traits. Firstly, decision-makers may possess ambiguous, inconsistent, or conflicting preferences. Secondly, there is often a lack of clarity regarding the technology or methodology employed in decision-making processes, leading to solutions being discovered through trial and error rather than through systematic analysis. Finally, decision-makers exhibit varying degrees of flexibility, and their alignment towards a common goal may be uncertain.
In relating this theory with the strategic decision-making, scholars have suggested that Cohen and his associates introduced the garbage-can model as a reaction to the perceived inadequacies of rational models in addressing decision-making challenges within complex and turbulent environments (Eisenhardt & Zbaracki, 1992). Olsen (2001) further elucidates that the garbage-can model aims to shed light on empirical observations, refining existing organizational DM theories to offer greater clarity. Unlike other models, it eschews a linear policy development process, as such an approach would be deemed overly rational (Tiernan & Burke, 2002).
2.6 Empirical Review
Malel and Kemboi (2019) determined the influence of strategic decision making on the performance of commercial banks in Eldoret town, Kenya which was reinforced by the theory of innovation diffusion. The study findings showed that innovation strategy have a positive and significant influence with (β=0.244, p< 0.05) on performance of commercial banks in Eldoret town. The study recommends that the management of commercial banks need to at all times evaluate and monitor the implementation of the decision reached for them to have an overview of their progress and if they are achieving their intended goals and objectives.
Asikhia and Mba (2021) evaluated the impact of strategic decision-making on organizational performance, highlighting those effective decisions stem from thorough information analysis. Through a systematic review of articles, the paper sheds light on factors affecting organizational performance, such as management, employee behavior, decision-making processes, and environmental dynamics. Drawing on Herbert Simon’s administrative behavior theory, the study concludes by affirming the vital role of strategic decision-making in enhancing organizational effectiveness.
Al-Hashimi et al. (2021) developed and evaluated an integrated model of the strategic decision-making process and its outcomes within public organizations. Their model incorporates procedural rationality, intuition, participation, and constructive politics as factors influencing the successful implementation of strategic decisions. The study found that successful implementation fully mediated the relationships between procedural rationality, participation, constructive politics, and the outcomes of strategic decisions.
Eromafunu et al. (2022) investigate the influence of strategic decision makers’ characteristics on effective strategic decision-making in various government agencies and commissions in Delta state, Nigeria. The findings reveal a significant positive relationship between strategic decision makers’ cognitive diversity and effective strategic decision-making. However, no direct relationship was found between cognitive complexity and effective decision-making. Interestingly, when cognitive complexity was considered alongside cognitive diversity, a positive correlation emerged.
Yılmaz and Ameen (2022) determined the impact of strategic decision-making in improving organizational performance and the relationship between strategic decision-making and organizational performance, identifying the demographic characteristics of manager and learn about decision-making approaches and their role in organizational performance. The study was a descriptive cross-sectional design. The findings indicated the existence of the relationship and correlation between the research variables, which stated that depending on strategic decision-making will lead to increase organizational performance and employee performance, this revealed an impact of strategic decision-making on organizational performance.
Muzanenhamo and Chikosha (2022) examined the effect of strategic decision-making context on organizational performance in culturally diverse occupational settings of Bindura Nickel Mine. Descriptive research design was adopted. It was established that leader psychological path and follower psychological path had a significant direct effect on organizational performance, while legislative context, economic context and firm resources had some weak association. It was concluded that strategic decision-making context is the predictor of organizational performance. Finally, recommends further research on the impact of strategic influence and strategic talent development on organizational performance.
Omenazu (2022) focused on presenting and discussing the relationship between strategic decision-making and organizational performance in greater depth. The findings shed light on the factors that influence managers’ decision-making and performance, such as the environment in which they work and the leadership style they employ. Strategic decisions involving the use of decision support systems, as well as internal and external environmental factors that influence the performance of managers in making them, have been shown to have an impact on the performance of strategic decisions that have a direct impact on the overall performance of the organization.
Sinnaiah et al. (2023) presented a conceptual framework for integrating strategic thinking factors, organizational performance and the decision-making process. This involves a synthesis of literature and proposes a framework that explores the relationship between strategic thinking enabling factors, organizational performance and the moderating effect of decision-making styles which includes strategic thinking enabling factors (systems perspective, focused intent, intelligent opportunism, thinking in time and hypothesis-driven analysis), organizational performance and the moderating effect of decision-making styles (intuitive and rational). From the results in conceptual model, it remains to be tested in actual practice.
2.7 Research Gap
The majority of management research tends to concentrate on decision-making within risky environments due to the feasibility of modeling and experimenting with expected utility maximization such as (Malel & Kemboi, 2019; Malecka 2020; Yilmaz & Ameen, 2022; Muzanenhamo & Chikosha, 2022). Academic scholars and practitioners emphasize the significance of strategic decision-making practices in evaluating organizational performance across various dimensions such as innovation, entrepreneurship, technology, knowledge, economics, healthcare, and overall organizational performance such as Ewah 2018; Sev et al. 2018; Alosani et al. 2020; Asikhia and Mba 2021; Al-Hashimi et al. 2021; Nauhaus et al. 2021; Sinnaiah et al. 2023 and revealed how strategic decision-making impacts on organizational performance.
Put differently, prior investigations into the characteristics or factors influencing the effectiveness of strategic decision-making have not produced widely applicable results or conclusions. Consequently, further empirical research is needed to ascertain which practices, characteristics or factors contribute to strategic decision-making effectiveness within organizations before definitive assertions can be made and this study aims to address this gap. Thus, the study investigated the relationship between strategic decision-making practices and organizational performance of selected pharmaceutical firms in Owo, Ondo state.
3.0 RESEARCH METHODOLOGY
3.1 Research Design
The study used a descriptive survey research design. Descriptive survey is restricted to factual registration and that there is no quest for an explanation why reality is showing itself this way (Voordt, 2014). This ensures objectivity and neutrality in drawing conclusions (Mugenda & Mugenda, 2003). This was appropriate for the study since it sought to create the actual understanding of strategic decision-making practices and organizational performance.
3.2 Population of the Study
The population of this study, consists of staff of selected pharmaceutical firms in Owo, Ondo State. Table 1 illustrates the selected pharmaceutical firms along-side with the number of staff.
Table 1: Distribution of staff of selected branches
S/N
NAME OF PHARMACY
NUMBER OF STAFF
1
Chinare Ani Pharmacy
12
2
Emmayemi Pharmacy
12
3
Femih Pharmacy Ltd
13
4
Godman Pharmacy
10
5
HealthWatch Pharmacy
23
6
Ifeoluwa Medicine Store
10
7
Jobath Pharmacy
14
8
N. O. Chrisval Pharmacy
11
9
Wellfast Pharmacy
10
10
Wondacare Limited Pharmacy
8
Total
123
Source: Field Survey, 2024
3.3 Sample and Sampling Technique
The sample size for the study is 94 staff of selected pharmaceutical firms in Owo, Ondo state. The sampling technique used for this study was stratified random probability sampling technique. The reason for the choice was due to the fact that the firms consist of different units (full and contract staff), the selection was done based on these categories to ensure that all employees are represented in the choice of the sample. The sample size for this study was arrived at using Taro Yamane formular which is illustrated below:
3.4 Research Instrument
The instrument used to gather information in this research work was primary data through the use of questionnaire. The questionnaire seeks information about the respondents’ demographic data and opinion on the impact of strategic decision-making practices on organizational performance of selected pharmaceutical firms in Owo, Ondo state. All statement items were measured on a five-point Likert scale ranging from Strongly Agree (SA) to Strongly Disagree (SD).
3.5 Validity and Reliability of Instrument
The validity of the research instrument used for this study was carried out, the questionnaire design was given to my supervisor for vetting and after series of corrections on the instrument, it was discovered to be valid based on the variables used for this study. Therefore, face and content validity were used for the research instrument. The result of the reliability test shows that each of the variables are reliable since they are more than 0.828 coefficient which is illustrated below.
Table 2: Result of Reliability Test (n=)
Construct
Number of Items
Cronbach’s Alpha Coefficient
PRD
5
0.821
ISDM
5
0.922
RSDM
5
0.810
PSDM
5
0.733
Overall Alpha
0.828
Source: Researcher’s Fieldwork, 2024.
3.6 Method of Data Analysis
Data analysis was in two parts. Frequencies, means and percentages were used to describe the characteristics of the sample. Further, regression analysis was used to infer meaning about the entire population from the sample findings. Analysis of variances, model summaries and regression coefficients were used to describe the characteristics of population of study. Statistical Package of Social Sciences (SPSS) version 26 and excel were used as the principal data analysis tools. The findings were presented in tables.
3.7 Model of Specification
This comprises of the elements used in measuring the independent variable (Strategic Decision-Making Practices) which are Intuition Strategic Decision-Making (ISDM), Rational Strategic Decision-Making (RSDM), Participatory Strategic Decision-Making (PSDM) on the dependent variable (Organizational Performance) which is measured by Productivity (PRD).
The model for the study is functionally state below:
ⅈ = Samples of Selected Pharmaceutical firms in Owo, Ondo State.
The apriori expectation for this study is stated that:
β1, β2, β3 > 0, the reason been that the variables used here is a process dimension
4.0 Data Presentation and Analysis
From the total number of 120 (one hundred and twenty) questionnaire distributed to all staff of selected pharmaceutical firms in Owo, Ondo state, 116 (one hundred and sixteen) questionnaire was retrieved representing 97% for analysis.
4.1 Demographic Characteristics
Table 4.1: Demographic Characteristics of Respondents
Demographic Characteristics
Categories
Frequency
Percentage
Gender
Male Female Total
44 72 116
38 62 100
Age
21 – 30 years 31 – 40 years 41 – 50 years 51 and above Total
48 32 26 10 116
41 28 22 9 100
aaMarital Status
Married Single Widow/Widower Divorced/Separated Total
41 52 5 18 116
35 45 4 16 100
Qualification
O’ Level ND/NCE HND/B.Sc. MBA/M.Sc. PhD Total
24 48 36 6 2 116
21 41 31 5 2 100
Work Experience
0 – 2 years 3 – 5 years 6 – 10 years Total
40 52 24 116
34 45 21 100
Designation
Chief Executive Officer Manager Pharmacist Laboratory Officer Front Desk Officer Secretary Cashiers Cleaners Total
8 10 12 14 34 8 18 12 116
7 9 10 12 29 7 16 10 100
Source: Researchers’ computation (2024)
From Table 4.1, 116 respondents’ staff of selected pharmaceutical firms in Owo, Ondo state were captured for gender, 44 representing (38%) were male while 72 representing (62%) were female. This indicates that staff of selected pharmaceutical firms in Owo, Ondo state are more dorminated with female. Out of 116 respondents captured for age, 48 staff representing (41%) ranged between 21-30 years, 32, (28%) of staff captured were between 31-40 years, 26, (22%) of staff ranged between 41-50 years while 10, (9%) were within the range of 51 years and above. This implies that most of the staff of these selected pharmaceutical firms are young and fit for responsibilities. Out of 116 respondents captured for marital status, 41 staff representing (35%) were married, 52, (45%) were single, 5, (4%) were stated as widows/widowers and 18, (16%) were recorded as divorced/separated. This implies that the majority of the staff working at these firms are single. 116 respondents recorded for qualification, 24 staff obtained Ordinary Certificate representing (21%), 48 of them obtained ND/NCE representing (41%), and 36, (31%) attained HND/B.Sc, 6, (5%) were having either MBA or MSc while 2, (2%) were PhD holders. This shows that these firms have more of ND/NCE certificates holders. For work experience, out of 116 respondents recorded, 40, (34%) have spent between 0 – 2 years, 52 (45%) have spent 3 – 5 years, 24 respondents representing (21%) have spent 6 – 10 years working experience in these firms. This indicates that they have more dedicated and competent staff who have been with them for long. Finally, 8 respondents representing (7%) are CEO of these selected firms, 10, (9%) recorded were managers, 12, (10%) are stationed pharmacist of these selected firms, 14, (12%) are laboratory staff, 34, (29%) are recorded as front desk officers of these selected firms, 8, (7%) are secretaries, 18, (16%) recorded are cashiers while 12, (10%) are cleaner of these firms. This implies that the selected pharmaceutical firms have more of front desk officers that other designated staff during the period under review.
The summary of descriptive statistics from the above table indicates that during the study under review, the average productivity (PRD) is 5.67 with a standard deviation of 1.42, a minimum of 2.64 and a maximum of 8.64, this implies that organizational performance is been determined based on how the top managers or decision makers made use of their essential resources effectively well in accomplishing their objectives in terms of quality and quantity during the period under review. Intuition strategic decision-making (ISDM) on average is 4.35, with a standard deviation of 2.21 and minimum of 6.31, maximum of 11.05 which shows that they were able to predict what might happen in the future by taking precaution steps to ascertain their expectations thereby nurturing ideas based on past experience in solving issues that may arise. Rational strategic decision-making (RSDM) on average is 4.121 with a standard deviation of 2.651, a minimum value of 10.51 and a maximum value of 11.44 this indicates that the decision makers were able to highlight issues thereby providing effective solutions by selecting the most important solutions to apply then evaluate the solution. Participatory strategic decision-making (PSDM) on average is 5.42 with a standard deviation of 2.55, a minimum value of 11.46 and a maximum value of 14.51 this shows that managers or decision makers allow employees to participate in providing ideas or solutions in solving issues concerning their firms. Thereby, providing opportunities in achieving agreed solutions, improvement in commitment and developing sense of ownership.
4.2.2 Correlation Analysis
Table 4.3: Pearson Correlation Matrix of the Dependent Variable and Independent Variable
Variable
PRD
ISDM
RSDM
PSDM
PRD
1.000
ISDM
.863**
1.000
RSDM
.681**
.641**
1.000
PSDM
.721**
.664**
.671**
1.000
**Correlation is significant at the 0.000 level (2-tailed). Sample size =116
Source: (SPSS Output Own Survey Result, 2024)
The table above present the relationship that exists between strategic decision-making practices variables (intuition strategic decision-making, rational strategic decision-making and participatory strategic decision-making as against organizational performance (productivity) of staff of selected pharmaceutical firms in Owo, Ondo state. It revealed that intuition strategic decision-making (ISDM) shows a positively and strongly relationship with productivity (PRD) at 0.863 representing 86%. Rational strategic decision-making (RSDM) shows a positive and average relationship with productivity (PRD) at 0.681 representing 68% while participatory strategic decision making (PSDM) indicates a positive and strong relationship with productivity (PRD) at 0.721 representing 72%. Therefore, the table presented shows that the variables tested were significant statistically at 0.000 which indicates that strategic decision-making has a direct relationship with organizational performance.
4.2.3 Regression Analysis
Table 4.4 Multiple Regression Results
Model Summary
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
1
.671a
.443
.316
1.84069
a. Predictors: (Constant), Productivity, Intuition Strategic Decision-Making, Rational Strategic Decision Making and Participatory Decision-Making
ANOVAa
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
254.640
63
68.361
14.132
.000b
Residual
1159.670
560
8.654
Total
1417.110
595
a. Dependent Variable: Productivity
b. Predictors: (Constant), Intuition Strategic Decision-Making, Rational Strategic Decision Making and Participatory Decision-Making
Coefficients
Model
Unstandardized Coefficients
Standardized Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
2.522
1.132
2.227
.000
Intuition Strategy Decision-Making
.236
.113
.246
2.088
.000
Rational Strategic Decision-Making
.150
.066
.163
2.272
.063
Participatory Strategic Decision-Making
.242
.057
.225
4.298
.001
a. Dependent Variable: Productivity
Source: Researcher’s Computation (2024).
Source: SPSS Version 26.0
4.2.4 Discussion of Findings
The study investigates the relationship between strategic decision-making practices and organizational performance of selected pharmaceutical firms in Owo, Ondo state. Three components of strategic decision-making practices were examined, intuition strategic decision-making, rational strategic decision-making and participatory strategic decision-making in relationship with the dependent variable organizational performance which was measured with productivity. From the findings intuition strategic decision-making (ISDM) shows a coeff-value of 0.236, t-value of 2.088 and P-value of 0.000 which is positive and significantly related to organizational performance. which implies that strategic managers or decision makers of the selected pharmaceutical firms under review were able to predict the issue that might arise in future thereby providing solutions based on their past experiences. This is related to the studies Al-Hashimi et al. (2021); Yilmaz and Ameen (2022); Sinnaiah et al. (2023) which indicates a positive and significant relationship with organizational performance. Rational strategic decision-making (RSDM) has a coeff-value of 0.150, t-value 2.272 and P-value 0.063 implying that RSDM is positively and insignificantly related to organizational performance during the study under review, which indicates that they were not able analyzed some of the possible solutions provided in solving their issues which might lead to these firms not actualizing their objectives if this option is opted for. The result of the findings did not aligns with the studies carried out by Al-Hashimi et al. (2021); Nauhaus et al. (2021); Asikhia and Mba (2021); Yilmaz and Ameen (2022); Sinnaiah et al. (2023) whose findings stated that rational strategic decision-making is positively and significantly related to organizational performance. Participatory strategic decision making (PSDM) has a coeff-value of 0.242, t-value of 4.298 and P-value of 0.001 which means that PSDM is positively and significantly related to organizational performance. This implies that the decision makers of these pharmaceutical firms provide opportunities for employees to participates in providing solutions or ideas thereby achieving agreed solutions, improvement of commitment and developing sense of ownership during the period under review. This study aligns with the studies carried Sev et al. (2018); Al-Hashimi et al. (2021); Asikhia and Mba (2021); Muzanenhamo and Chikosha (2022) which states that participatory strategic decision-making is positively and significantly related with organizational performance during the study under review.
From the study it reveals that strategic decision-making practices is positively and significantly related with organizational performance of selected pharmaceutical firms in Owo, Ondo state which aligns with the studies of Sev et al. (2018); Malel and Kemboi (2019); Aladesoun et al. (2020); Arend (2020); Al-Hashimi et al. (2021); Asikhia and Mba (2021); Muzanenhamo and Chikosha (2022); Bonnyventure et al. (2022); Yilmaz and Ameen (2022); Eromafunu et al. (2022); Sinnaiah et al. (2023); Gagan (2023) during the study under review.
5.0 CONCLUSION AND RECOMMENDATIONS
5.1 Conclusion
This study investigates the relationship between strategic decision-making practices and organizational performance of selected pharmaceutical firms in Owo, Ondo state. Three components of strategic decision-making practices examined which are intuition strategic decision-making, rational strategic decision-making and participatory strategic decision-making in determining the relationship with organizational performance (productivity). The results show that intuition strategic decision-making (ISDM) and participatory strategic decision-making (PSDM) were positively and significantly related with organizational performance while rational strategic decision-making (RSDM) was positively and insignificantly related with organizational performance during the study under review. Thus, the study revealed that strategic decision-making practices is positively and significantly related with organizational performance. Furthermore, it indicates that strategic managers or decision makers worked with these practices in determining and providing solutions of treating issues that they may or have encounter by adopting these practices in actualizing their aims and objectives during the study under review.
5.2 Recommendations
Based on the result above, the following recommendations are highlighted below:
That firms should encourage the use of these SDM practices such as intuition strategic decision-making, rational strategic decision-making and participatory strategic decision making as it enhances performance of both the employees and organization.
That firm’s decision makers should more conscious when adopting intuition strategic decision-making as it is based on steps in ascertaining expectations.
That decision makers should encourage the use participatory strategic decision-making as its one of the best method of motivating and providing opportunities of employees to showcase their abilities and capabilities in the organization for better commitment development of employee.
References
Abdullah, N. N., & Othman, M. B. (2019). Examining the effects of intellectual capital on the performance of Malaysian food and beverage small and medium-sized enterprises.
Technology, 10(2), 135-143.
Abubakar, A. M., Hamzah E., Maher Ahmad A., & Elçi A. (2019). Knowledge management, decision-making style and organizational performance. Journal of Innovation & Knowledge, 4(2), 104-114.
Acciarini, C., Brunetta, F., & Boccardelli, P. (2021). Cognitive biases and decision-making strategies in times of change: a systematic literature review. Management Decision, 59(3), 638-652.
Adam, A., Lindahl, G., & Leiringer, R. (2020). The dynamic capabilities of public construction clients in the healthcare sector. International Journal of Managing Projects in Business, 13(1), 153-171.
Adigbole, E., Osemene, O., & Fakile, O. (2019). Strategic management accounting and information for managerial decision making in selected manufacturing firms in Kwara State. Ilorin Journal of Management Sciences, 132-144.
Ahmen, A. Bwisa, H., & Otieno, R. (2014). Strategic decision making: process, models, and theories. Journal of Business Management and Strategy, 5(1), 78-104.
Aladesoun, C. B., Ayoade, A. A., Adegbola, M. M., Olaniyan, I. H., & Akinde, B. O. (2020). Role of strategic decision making on employees productivity. International Journal of Academic Information Systems Research, 4(8), 45-56.
Al-Hashimi, K., Weerakkody, V., Elbanna, S., & Schwarz, G. (2021). Strategic decision making and implementation in public organizations in the gulf cooperation council: the role of procedural rationality. Public Administration Review, 82(5), 905-919.
Al-Jaifi, H. A., & Al-Rassas, A. H. (2019). The financing decision puzzle of technology-based firms: evidence from Malaysia. International Journal of Business and Globalization, 22(2), 225-239.
Ali, M. S. (2019). Strategic thinking and strategic decisions-making. International Journal of Research in Social Sciences and Humanities, 9(3), 457-469. Retrieved from http://www.ijrssh.com
Alosani, M. S., Yusoff, R., & Al-Dhaafri, H. (2020). The effect of innovation and strategic planning on enhancing organizational performance of Dubai police. Innovation and Management Review, 17(1), 2-24.
Arend, R. J. (2020). Strategic decision-making under ambiguity: a new problem space and a proposed optimization approach. Business Research, 13, 1231-1251. Retrieved from https://doi.org/10.1007/s40685-020-00129-7
Asikhia, O. U., & Mba, C. N. (2021). The influence of strategic decision making on organizational performance. The International Journal of Business and Management, 9(1), 333-338. DOI No.: 10.24940/theijbm/2021/v9/i1/BM2101-050
Babatunde, A., & Sanusi, M. (2020). Impact of strategic planning on organizational performance in first bank Nigeria Plc, Osun state. Journal of Management and Social Sciences, 9(2), 23-30.
Barlach, L., & Plonski, G. A. (2021). The Einstellung effect, mental rigidity and decision-making in startup accelerators. Innovation and Management Review, 18(3), 276-291.
Battaglio, P., Paolo, B., Nicola, B., & Paola, C. (2019). Behavioral public administration Ad Fontes: a synthesis of research on bounded rationality, cognitive biases, and nudging in public organizations. Public Administration Review, 79(3), 304-320.
Bonnyventure S, N., Bwonya J., E., Owouri P. J., Mudany J O., & Ogutu M. (2022). The nexus b etween strategic decision-making, strategic communication and organizational performance: a critical literature review. Journal of Strategic Management, 6(3), 37-49. Retrieved from https://doi.org/10.53819/81018102t2071
Bozhinov, V., Joecks, J., & Scharfenkamp, K. (2021). Gender spillovers from supervisory boards to management boards. Managerial and Decision Economics, 42(5), 1317-1331.
Camilleri, M. A. (2021). Using the balanced scorecard as a performance management tool in higher education. Management in Education, 35(1), 10-21.
Cohen, B. J. (1996). Is expected utility theory normative for medical decision-making ? Medical Decision-making , 16(1), 1-6.
Cohen, M. D., March, J. G., & Olsen, J. P. (1972). A garbage can model of organizational choice. Administrative Science Quarterly, 1, 1-25
Deslatte, A. (2020). Positivity and negativity dominance in citizen assessments of intergovernmental sustainability performance. Journal of Public Administration Research and Theory, 30(4), 563-578.
Eisenhardt, K. M., & Zbaracki, M. J. (1992). Strategic decision-making. Strategic Management Journal, 13(S2), 17-37.
Elikwu, M. I., & Mohammed, M. N. (2019). Strategic decision making: effect on sustainable operational performance of small manufacturing businesses in Nigeria. Proceedings of the FMS 2019 International Conference on Managing Nigeria Economic Diversification: Lessons from other Climes, at the Nnamdi Azikiwe University, Awka, Anambra State, Nigeria, 13th-15th June, 2019, Scoa Heritage Publishers, pg. 875-889
Eromafunu, G. E., Akpoyibo, G., & Isaac, A. P. (2022). Effective strategic decision-making and strategic decision makers’ characteristics: the role of cognitive diversity and complexity. European Journal of Business and Innovation Research, 10(6), 18-33.
Ewah, S. (2018). Managing the dynamics of strategic decision making. International Journal of Social Sciences and Management Review, 1(1), 60-70.
Gagan, D. (2023). Strategic decision-making: a crucial skill for business managers. World Journal of Advanced Research and Reviews, 20(3), 1639-1643.
George, B., Walker, R. M., & Monster, J. (2019). Does strategic planning improve organizational performance: a meta‐analysis. Public Administration Review, 79(6), 810- 819.
Hamidullah, M. F., Riccucci, N. M., & Lee, I. P. (2021). Citizens’ perceptions of closing the gender pay gap: an experimental study. Public Management Review, 23(7), 1032-1055.
Harappa, D. (2020). Strategic Decision Making: Harappa Learning Private Ltd.
Madume, W. C., Okereke, E. J., & Omojefe, G. O. (2024). Strategic planning and organizational performance of manufacturing firms in Rivers state, Nigeria. Asian Journal of Economics, Finance and Management, 6(1), 63-73.
Malel, S. K., & Kemboi, A. (2019). Influence of strategic decision making on performance of commercial banks in Eldoret Town, Kenya. Journal of Business and Management, 21(10), 58-66. DOI: 10.9790/487X-2110015866
Małecka, M. (2020). The normative decision theory in economics: a philosophy of science perspective: the case of the expected utility theory. Journal of Economic Methodology, 27(1), 36-50.
Muzanenhamo, L., & Chikosha, F. (2022). Strategic decision-making context and organizational performance in Bindura Nickel Mine. International Journal of Research Publication and Reviews, 3(10), 2304-2310.
Nagtegaal, R., Tummers, L., Noordegraaf, M., & Bekkers, V. (2020). Designing to debias: measuring and reducing public managers’ anchoring bias. Public Administration Review, 80(4), 565-576.
Nauhaus, S., Luger, J., & Raisch, S. (2021). Strategic decision making in the digital age: expert sentiment and corporate capital allocation. Journal of Management Studies, 58(7), 1934- 1961. doi:10.1111/joms.12742
Olsen, J. P. (2001). Garbage cans, new institutionalism, and the study of politics. American Political Science Review, 95(1), 191-198.
Omenazu, S. (2022). Strategic management, decision making and organizational performance: case study of construction industry Malaysia. Journal of Positive School Psychology, 6(3), 6100-6113. Retrieved from http://journalppw.com
Osazevbaru, H. O. (2021). Empirical examination of top management characteristics and strategic decision making. Trendy v podnikání – Business Trends, 11(2), 35-49. Retrieved from https://doi.org/10.24132/jbt.2021.11.2.35_49
Williams, S. (2002). Making better business decisions: Understanding and improving critical thinking in problem-solving skills. London: Sage Publications Incorporation.
Sarraf, F., & Nejad, S. H. (2020). Improving performance evaluation based on balanced scorecard with grey relational analysis and data envelopment analysis approaches: case study in water and wastewater companies. Evaluation and Program Planning, 79, 101762
Sev, J. T., Faajir, F., & Emakwu, J. (2018). The impact of managerial decision making process
on organizational performance: a study of Nigerian breweries Plc and Guinness Breweries Nigeria Plc Lagos. Nigerian Journal of Management Sciences, 6(2), 20-35.
Simon, H. A. (1957). Models of man: social and rational. Mathematical essays on rational human behavior in a social setting: New York, John Wiley.
Sinnaiah, T., Adam, S., & Mahadi, B. (2023). A strategic management process: the role of decision-making style and organisational performance. Journal of Work-Applied Management, 15(1), 37-50. DOI 10.1108/JWAM-10-2022-0074
Taofeeq, D. M., & Adeleke, A. Q. (2019). Factor’s influencing contractors risk attitude in the Malaysian construction industry. Journal of Construction Business and Management, 3(2), 59-67.
Teasley III, C., & Harrell, S. W. (1996). A real garbage can decision model: Measuring the costs of politics with a computer assisted decision support software (DSS) program. Public Administration Quarterly, 479-492.
Tiernan, A., & Burke, T. (2002). A Load of Old Garbage: Applying Garbage–Can Theory to Contemporary Housing Policy. Australian Journal of public administration, 61(3), 86-97.
Tsai, F. M., Bui, T. D., Tseng, M. L., Wu, K. J., & Chiu, A. S. (2020). A performance assessment approach for integrated solid waste management using a sustainable balanced scorecard approach. Journal of Cleaner Production, 251, 119740.
Ur Rehman, S., Bhatti, A., & Chaudhry, N. I. (2019). Mediating effect of innovative culture and organizational learning between leadership styles at third-order and organizational performance in Malaysian SMEs. Journal of Global Entrepreneurship Research, 9(1), 1- 24.
Yılmaz, V. A., & Ameen, S. S. H. (2022). The role of strategic decision-making on organizational performance among managers of organizations in Iraq. Türk Kamu Yönetimi Dergisi, 3(2), 120-130.
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