Quantitative Analysis of the Impact of Demography and Job Profile on the Organizational Commitment of the Faculty Members in the HEI’S of Uttarakhand

Uniyal, Amit Kumar; Kanojia, Pooja; Khanna, Rupa; Dixit, Anil Kumar

doi:10.1007/978-3-031-23647-1_3

Cited by 8 publications

(1 citation statement)

References 8 publications

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“…As a mature scale measuring OC, this scale has been applied in many related studies, and its reliability and validity have been shown to be good (Chanana, 2021;Erlangga et al, 2021). In addition, this scale is often used in the education field and to measure college teachers' OC (Donglong et al, 2020;Uniyal et al, 2022). To ensure better fit of this scale in this study, it was modified to suit the college and university setting.…”

Section: Teachers' Ocmentioning

confidence: 99%

Effect of High-Performance Human Resource Practice in Colleges and Universities in China on Teachers’ Turnover Intention: A Moderated Mediation Model

Wang¹,

Huang²

2023

HES

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Previous studies have demonstrated that high-performance human resource practice (HPHRP) can reduce employees’ turnover intention (TI). However, only a few studies have investigated this relationship in the context of Chinese culture. Using a sample of 740 teachers from five colleges and universities in Hebei Province, China, this study assessed the effect of HPHRP in colleges and universities on teachers’ TI in the context of Chinese culture. Furthermore, the mediating effects of teachers’ organizational commitment (OC) and the moderating effects of teachers’ organizational justice (OJ) were investigated. The results revealed that HPHRP in colleges and universities had a significant negative effect on teachers’ TI. Teachers’ OC played a partial mediating effect in the relationship between HPHRP in colleges and universities and teachers’ TI. In addition, the moderation analysis indicated that HPHRP in colleges and universities enhanced OC for teachers with high levels of OJ. This study contributed to a better understanding of the role of HPHRP in colleges and universities in reducing teachers’ TI, suggesting that HPHRP implementation and improving teachers’ OC and OJ can reduce teachers’ TI.

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Section: Teachers' Ocmentioning

confidence: 99%

Effect of High-Performance Human Resource Practice in Colleges and Universities in China on Teachers’ Turnover Intention: A Moderated Mediation Model

Wang¹,

Huang²

2023

HES

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An Exhaustive Inference of Machine Learning Applications in Healthcare

Swain,

Kamila,

Jena

et al. 2024

Advances in Human Services and Public Health

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Machine learning has become an important tool in healthcare research to solve complex classification problems effectively, efficiently, and quickly. Generally, doctors treat patients according to their medical knowledge and personal experience. Since different professionals have different experiences, they may sometimes make a wrong diagnosis and need more time for treatment. Current research mainly focuses on the problem of classifying/predicting medical data based on machine learning. There is a need to create an intelligent structure that can distribute the information stored in the database. Human data analysis capabilities are less compared to data storage. This is more important in the case of medical records because it helps search, diagnose, and treat patients based on individual records. This paper's main goal is to review the pre-researched methodologies of machine learning techniques to analyze healthcare data to diagnose and prevent illnesses. Finally, these research articles are classified based on healthcare data, machine learning techniques, and performance parameters.

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Navigating Challenges and Innovations in Global Healthcare

Singh,

Chand,

Singh

2024

Advances in Human Services and Public Health

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Telemedicine and remote care have redefined the contours of healthcare delivery by bridging geographical barriers and enhancing accessibility, particularly in underserved and low-income communities. This chapter delves into the evolution of telemedicine, underscoring its transformative role in reducing disparities in healthcare access. It further explores the cost-effectiveness of telehealth models, presenting data to illustrate affordability and long-term economic viability. The chapter concludes by analyzing the macroeconomic impact of expanding telemedicine services, including workforce shifts, infrastructural investments, and implications for healthcare policy. The potential of telemedicine to recalibrate the healthcare landscape is immense, but it demands thoughtful integration with existing systems, regulatory foresight, and continuous technological innovation to ensure equitable, sustainable care.

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Quantitative Analysis of the Impact of Demography and Job Profile on the Organizational Commitment of the Faculty Members in the HEI’S of Uttarakhand

Cited by 8 publications

References 8 publications

Effect of High-Performance Human Resource Practice in Colleges and Universities in China on Teachers’ Turnover Intention: A Moderated Mediation Model

Effect of High-Performance Human Resource Practice in Colleges and Universities in China on Teachers’ Turnover Intention: A Moderated Mediation Model

An Exhaustive Inference of Machine Learning Applications in Healthcare

Navigating Challenges and Innovations in Global Healthcare

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