AN EMPIRICAL STUDY OF CONFIRMATORY FACTOR ANALYSIS SUCCESSFUL ADOPTION OF HUMAN RESOURCE ANALYTICS IN INDIAN ORGANIZATIONS

Authors

  • SAAEMAAKHTAR Department of Humanities and Social Sciences Motilal Nehru National Institute of Technology, Allahabad, Prayagraj 211004
  • DR. RAJESH KUMAR SHASTRI Department of Humanities and Social Sciences Motilal Nehru National Institute of Technology, Allahabad, Prayagraj 211004

Keywords:

HR Analytics, Awareness Level of analytics, HR professionals, HR Analytics adaptation, Confirmatory factor analysis.

Abstract

The Main purpose of this research is to assess the extent of awareness of Human Resource Analytics among HR Managers at various levels in various firms in India.
Design/methodology/approach:-To collect data a combination of quantitative and qualitative research methodologies is used. Data is gathered specifically from various levels of management in selected organizations. Descriptive data analysis is presented in relation to the level of awareness, and a causal research approach is used to identify the major aspects that raise personnel' consciousness of HR Analytics.
Findings:-This study gives current information about HR Analytics through the practice of HR Analytics in India which is minimal. The findings show that HR Analytics expertise is influenced by a variety of factors.
Practical implications:-The study determined the level of HR Analytics understanding among managers from various sectors in India. To attain outstanding organizational performance, enterprises need implement the necessary HR Analytics.
Originality/value:-The importance of the current study stems from the fact that just a few studies have looked
into employee knowledge levels in the hands-on human resource analytics in India. Furthermore, the study makes an important contribution to the ongoing development of this field of study.

Downloads

Download data is not yet available.

References

Fitz-enz, J. (n.d.). Toward Analytics and Prediction. The New HR Analytics, 8— 44. doi:10.5848/amacom.978-0-814416~44~0 3

Sattelberger, T. (1996). Human Resources Management in der flachen Organisation: Zwischen blinder Anpassung und proaktivem Management of Change. Human

Resource Management ImUmbruch, 80-113. doi:10.1007/978~3~322~87093~3_5 Hamilton, R. H., & Sodeman, W. A. (2020). The questions we ask: Opportunities and

challenges for using big data analytics to strategically manage human capital resources. Business Horizons, 63(1), 85-95. doi:10.1016/j.bushor.2019.10.001

Vargas, R., Yurova, Y. V., Ruppel, C. P., Tworoger, L. C., & Greenwood, R. (2018). Individual adoption of HR analytics: a fine grained view of the early stages leading to

adoption. The International Journal of Human Resource Management, 29(22), 3046 3067. doi:10.1080/09585192.2018.1446181

Downloads

Published

2022-09-30

How to Cite

SAAEMAAKHTAR, & KUMAR SHASTRI, D. R. . (2022). AN EMPIRICAL STUDY OF CONFIRMATORY FACTOR ANALYSIS SUCCESSFUL ADOPTION OF HUMAN RESOURCE ANALYTICS IN INDIAN ORGANIZATIONS. The Journal of Contemporary Issues in Business and Government, 28(3), 485–501. Retrieved from https://cibgp.com/au/index.php/1323-6903/article/view/2389

Issue

Vol. 28 No. 3 (2022): The journal of contemporary issues in business and government

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

You are free to:

  1. Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
  2. Adapt — remix, transform, and build upon the material for any purpose, even commercially.
  3. The licensor cannot revoke these freedoms as long as you follow the license terms.

Under the following terms:

  1. Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  2. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Notices:

You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .

No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.