* Dr. Sunil Dutt
*Assistant Professor, Desh Bandhu Gupta Govt. College, Panipat, Haryana
According to the Economic Times, the Indian banking sector has plans to recruit 25,000 employees in the coming years. Besides it, the second largest public sector bank has plans of recruiting more than 5000 people. The Indian banking Industry has become the largest job providers among all sectors in the country with recorded more than 50,000 vacancies being announced in the private and public sector banks.
Employee satisfaction is a significant success factor for long term survival of any organization. Employee satisfactions play a major role on economic development of both country and corporations. In the same way, the success of banking industry depends on the efficient employees. The employees satisfied with their jobs are efficient and perform their duty effectively that leads to overall development of a sector. Therefore, analyzing the level of satisfaction of banks employees is need of the hour as it would enhance the performance of banks. The present study is based on both primary and secondary sources including 100 respondents (employees of banks) of NCR area, Sonipat (Haryana). The present study intends to analyze the perception of employees towards job satisfaction in banking industry.
Key Words: Banking sector, employees, Job satisfaction, Motivation.
P.Vandana1, K.Anusha2, Prof.Dr.G.Manoj Someswar3
- M.Tech.(CSE) from Sai Sudhir Institute of Engineering & Technology, Affiliated to JNTUH, Hyderabad, Telangana, India
- M.Tech. (CSE), Assistant Professor, Department of CSE, Sai Sudhir Institute of Engineering & Technology, Affiliated to JNTUH, Hyderabad, Telangana, India
- B.Tech., M.S.(USA), M.C.A., Ph.D., Principal & Professor, Department Of CSE, Anwar-ul-uloom College of Engineering & Technology, Affiliated to JNTUH, Vikarabad, Telangana, India
ABSTRACT: Traditionally, as soon as confidentiality becomes a concern, data is encrypted before outsourcing to a service provider. Any software-based cryptographic constructs then deployed, for server-side query processing on the encrypted data, inherently limit query expressiveness. Here, we introduce Trusted DB, an outsourced database prototype that allows clients to execute SQL queries with privacy and under regulatory compliance constraints by leveraging server-hosted, tamper-proof trusted hardware in critical query processing stages, thereby removing any limitations on the type of supported queries. Despite the cost overhead and performance limitations of trusted hardware, we show that the costs per query are orders of magnitude lower than any existing or potential future software-only mechanisms. Trusted DB is built and runs on actual hardware and its performance and costs are evaluated here.
KEY WORDS: Classification and Regression Trees (CART), Chi Square Automatic Interaction Detection (CHAID), Content Addressable Memory(CAM), Conscious Space Saving with Stream Summary (CSSSS),Genetic Algorithms, Artificial Neural Networks, Rule Induction