Research Article
Navigating Change: Adapting Retention Strategies in the Evolving Landscape of Higher Education
Akanksha Saxena*
Issue:
Volume 11, Issue 1, February 2025
Pages:
1-5
Received:
8 October 2024
Accepted:
1 November 2024
Published:
7 January 2025
DOI:
10.11648/j.ijdsa.20251101.11
Downloads:
Views:
Abstract: The Indian education industry's greatest challenge is not finding and keeping talented employees high turnover is a major concern for institutions today—but rather attracting and keeping potential employees. An institution's most important and dynamic resource is its workforce. The education sector's greatest obstacle is finding and retaining the best employees. Representative holding is the most basic objective for the establishment because recruiting qualified up-and-comers is fundamental for the organization. Yet, maintenance is a higher priority than recruiting because a large sum is spent on the direction and preparation of new employees. When employees leave, the institute loses not only employees but also customers and clients who are loyal to the employees and are knowledgeable about the institute's past, and current projects, competitors, and production. Institutions put forth colossal attempts to draw in capable employees and hold them in the establishment. Many elements impact maintenance and it is expected to comprehend employee’s assumptions, which can have made them stay long back and perform well. The overarching issue facing large higher education institutions was a significant faculty turnover rate, leading to decreased productivity within the organization. The challenge was that certain manager’s at large universities were missing the strategies required to lower faculty turnover rates. Information was gathered through semi-structured in-person interviews, phone interviews, and an analysis of organizational documents. The objective of this paper is to concentrate on various elements that influence the retention of employees in an institute. The findings of this research suggest that leaders in higher education can enhance employee morale and job satisfaction by implementing strategies aimed at retaining staff and minimizing turnover.
Abstract: The Indian education industry's greatest challenge is not finding and keeping talented employees high turnover is a major concern for institutions today—but rather attracting and keeping potential employees. An institution's most important and dynamic resource is its workforce. The education sector's greatest obstacle is finding and retaining the b...
Show More
Research Article
The Modified Kies-Weibull Distribution: A Flexible Model for Survival Analysis
Sultana Begum,
Md Rezaul Karim*
Issue:
Volume 11, Issue 1, February 2025
Pages:
6-16
Received:
25 March 2025
Accepted:
2 April 2025
Published:
10 April 2025
Abstract: This paper introduces the Modified Kies-Weibull (MKW) distribution, a novel and flexible probability model that generalizes the Weibull distribution to better accommodate various hazard rate structures. The MKW distribution is derived by incorporating the Weibull distribution into the Modified Kies Generalized (MKi-G) family, enhancing its adaptability for reliability analysis and survival modeling. Key statistical properties, including the cumulative distribution function, probability density function, moments, and order statistics, are derived. Three estimation methods: (i) Maximum Likelihood Estimation (ML), (ii) Maximum Product Spacing (MPS), and (iii) Least Squares (LS) are examined and compared through simulation studies. The results demonstrate that LS estimation outperforms ML and MPS, particularly in small samples, exhibiting lower bias and greater stability. Furthermore, the empirical application of the MKW distribution to a bladder cancer remission dataset reveals superior model fit compared to existing Weibull-based models, as confirmed by information criteria and goodness-of-fit tests. The MKW distribution proves to be an effective tool for modeling lifetime data, offering enhanced flexibility for applications in medicine, engineering, and reliability studies.
Abstract: This paper introduces the Modified Kies-Weibull (MKW) distribution, a novel and flexible probability model that generalizes the Weibull distribution to better accommodate various hazard rate structures. The MKW distribution is derived by incorporating the Weibull distribution into the Modified Kies Generalized (MKi-G) family, enhancing its adaptabi...
Show More
