Performance of Employees in Relation to The Effects of Change Management Practices
Keywords:
Change Management, Retail, Performance, Employee Turnover
Abstract
Organizations in development need to go through all the steps that can result in reorganisation or change. If you look closely enough, higher-ups don't always seem to be handling these shifts very well. How change management affects worker output is the focus of this article. The study's central concern is that workers are resisting change and, as a result, leaving their jobs as a result of the company's adoption of change management strategies. However, a survey will be distributed to gather data, and the results will be analysed using the SPSS statistical tool, thereby implementing the quantitative process. Possible future research, recommendations, and proposals can be structured around the overarching findings of this study. In light of the challenges highlighted in this evaluation, it would be prudent for future researchers to conduct a nationwide comparison of assembly businesses in order to synthesise the findings. Other associations' resistance to change can be better understood with the help of comparable studies. Potential experts will also be able to see the finished product of unfinished assembly projects due to progress issues. Assuming the aforementioned tests hold, the variables determining how to safeguard against change and its consequences are essentially determined. Thus, a thorough examination can be conducted in conjunction with the carelessly felt consequences of modifications.
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2. Kumar, J., Rana, S., Rani, V., & Ahuja, A, “What affects organic farming adoption in emerging economies? A missing link in the Indian agriculture sector,” International Journal of Emerging Markets, October 2023.
3. Kumar, J., Rani, M., Rani, G., & Rani, V., “What do individuals know, feel and do from a financial perspective? An empirical study on financial satisfaction”. International Journal of Social Economics. November 2023.
4. Kumar, J. and Ahuja, A., “Financial inclusion: Key determinants and its impact on financial well-being”. Global Business and Economics Review, July 2023.
5. S. Rangineni, A. Bhanushali, M. Suryadevara, S. Venkata, and K. Peddireddy, “A Review on Enhancing Data Quality for Optimal Data Analytics Performance,” International Journal of Computer Sciences and Engineering, vol. 11, no. 10, pp. 51–58, 2023.
6. S. Rangineni, A. Bhanushali, D. Marupaka, S. Venkata, and M. Suryadevara, “Analysis of Data Engineering Techniques With Data Quality in Multilingual Information Recovery,” International Journal of Computer Sciences and Engineering, vol. 11, no. 10, pp. 29–36, 1973.
7. A. K. Bhardwaj, S. Rangineni, and D. Marupaka, “Assessment of Technical Information Quality using Machine Learning,” International Journal of Computer Trends and Technology, vol. 71, no. 9, pp. 33–40, 2023.
8. S. Sellamuthu et al., “AI-based recommendation model for effective decision to maximise ROI,” Soft Computing, Jul. 2023
9. L. Thammareddi, M. Kuppam, K. Patel, D. Marupaka, and A. Bhanushali, “An extensive examination of the devops pipelines and insightful exploration,” International Journal of Computer Engineering and Technology, vol. 14, no. 3, pp. 76–90, 2023.
10. S. Parate, L. ThammaReddi, S. Agarwal, and M. Suryadevara, “Analyzing the Impact of Open Data Ecosystems and Standardized Interfaces on Product Development and Innovation,” International Journal of Advanced Research in Science, Communication and Technology, vol. 3, no. 1, pp. 476–485, 2023.
11. Kaushikkumar Patel “A Review on Enhancing Data Quality for Optimal Data Analytics Performance,” International Journal of Computer Sciences and Engineering, vol. 11, no. 10, pp. 51–58, 2023
12. Kaushikkumar Patel, Amit Bhanushali, Satish Kumar, “Evaluating regression testing performance through machine learning for test case reduction,” International Journal of Computer Engineering and Technology, vol. 14, no. 3, pp. 51–66, 2023.
13. K, Patel, “ Big Data in finance: An architectural overview”, International Journal of Computer Trends and Technology, Vol. 71, no. 10, pp. 61-68, 2023.
14. Kaushikkumar Patel, "Credit Card Analytics: A Review of Fraud Detection and Risk Assessment Techniques," International Journal of Computer Trends and Technology, vol. 71, no. 10, pp. 69-79, 2023.
15. Latha, Thammareddi, Shashank, Agarwal, Amit, Bhanushali, Kaushikkumar, Patel, Srinivas, Reddy V, “Analysis On Cybersecurity Threats in Modern Banking and Machine Learning Techniques For Fraud Detection” The Review of Contemporary Scientific and Academic Studies, vol. 3, no. 11, pp.
16. Shashank, Agarwal “Graph Networks: Transforming Provider Affiliations for Enhanced Healthcare Management,” International Journal of Computer Trends and Technology, vol. 71, no. 6, pp. 86-90, 2023.
17. Shashank, Agarwal, Siddharth Sharma, Sachin Parate “Exploring the Untapped Potential of Synthetic data: A Comprehensive Review,” International Journal of Computer Trends and Technology, vol. 71, no. 6, pp. 86-90, 2023.
18. Kulbir, Singh, "Artificial Intelligence & Cloud in Healthcare: Analyzing Challenges and Solutions Within Regulatory Boundaries," SSRG International Journal of Computer Science and Engineering, vol. 10, no. 9, pp. 1-9, 2023.
19. Amit Bhanushali, "Challenges and Solutions in Implementing Continuous Integration and Continuous Testing for Agile Quality Assurance,” International Journal of Science and Research (IJSR), Vol. 12, no.10, pp. 1626-1644, 2023.
20. Kumar, J. and Anjali, A., “Role of the Internet of Things (IoT) in Digital Financial Inclusion”. In IoT Based Smart Applications (pp. 363-373). October 2022, Cham: Springer International Publishing.
21. Kumar, J. and Neha, P. “Patient Satisfaction in Out Patient Departments (OPDs): An Investigative Study in Government Hospitals of Haryana”. October 2016, AAYAM: AKGIM Journal of Management, vol. 6, no. 2, pp. 8.
22. Kumar, J., and Swami, R., “Professional Reformation of Business: The Case of an Existing Family Business”. Drishtikon: A Management Journal, September 2017, vol. 8, no. 2, pp. 43-56.
23. Kumar, J., and Bansal, G., “Challenges and Opportunities of Internet Banking Adoption: Evidences from India”. Asian Journal of Research in Business Economics and Management, September 2017, vol. 7, no. 8, pp. 29-41.
24. Kumar, J., “Behavioural Finance-Literature Review Summary and Relevant Issues”. AAYAM: AKGIM Journal of Management, October 2019, vol. 9, no. 1, 42-53. [Accessed October 15, 2023].
25. Kumar, J., Pal, K., Mahapatra, S. N., and Kundu, S. S., “Altman's model for predicting business failure: case study of HAFED”. Abhigyan, October 2011, vol. 29, no. 3, pp. 52-62.
26. Pal, K., and Kumar, J., “Economic value added vis-à-vis thinking of Indian corporate managers: a survey analysis”. International Journal of Financial Management, July 2011, vol. 1, no. 3, pp. 19.
27. S. Chahal, “Agile methodologies for improved product management,” Journal of Business and Strategic Management, vol. 8, no. 4, pp. 79–94, Sep. 2023.
28. S. Chahal, “AI-Enhanced Cyber Incident Response and Recovery,” International Journal of Science and Research, vol. 12, no. 3, pp. 1795–1801, Mar. 2023.
29. S. Chahal, “Deep learning for early detection of disease outbreaks,” International Journal of Science and Research, vol. 11, no. 11, pp. 1489–1495, Nov. 2022.
30. S. Chahal, “Harnessing AI and machine learning for intrusion detection in cyber security,” International Journal of Science and Research, vol. 12, no. 5, pp. 2639–2645, May 2023.
31. S. Chahal, “Market open process: Navigating global markets: Launching a Cross-Border Mutual Fund business,” International Journal of Science and Research, vol. 11, no. 10, pp. 1341–1350, Oct. 2022.
32. S. Chahal, “Mutual Fund product launch process setup and Automation: Streamlining Spreadsheet workflows: A case study,” Journal of Economics & Management Research, pp. 1–7, Feb. 2023.
33. S. Chahal, “Navigating Financial Evolution: Business process optimization and digital transformation in the finance sector,” International Journal of Finance, vol. 8, no. 5, pp. 67–81, Oct. 2023.
34. Shameem, A., Ramachandran, K. K., Sharma, A., Singh, R., Selvaraj, F. J., & Manoharan, G. (2023). The rising importance of AI in boosting the efficiency of online advertising in developing countries. 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE).
Published
2023-12-01
How to Cite
Steffi. R, Shynu T, S. Suman Rajest, & R. Regin. (2023). Performance of Employees in Relation to The Effects of Change Management Practices. Central Asian Journal of Innovations on Tourism Management and Finance, 4(12), 1-23. https://doi.org/10.17605/cajitmf.v4i12.651
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