Earticle

초록

영어

In the era of disruptive change, a data-driven approach is vital to Human Resource Management (HRM) of any leading organization, for it is used to gain a competitive advantage. HR analytics (HRA) has emerged as innovative technologies since advanced analytics, i.e., predictive or prescriptive analytics, were widely used in the High Performing Organizations (HPOs). Therefore, many organizations elevate themselves to become HPOs through Data Science on the “people side.” This paper proposes a systematic literature review using the Literature Weighted Scoring (LWS) to develop a conceptual framework based on three adoption theories, which are the Technology-Organization-Environment (TOE), Diffusion of Innovation (DOI), and Unified Theory of Acceptance and Use of Technology (UTAUT). The results show that a total of 13 theory-derived factors are determined as influential factors affecting HRA adoption, and the top three factors are “Quantitative Self-Efficacy,” “Top Management Support,” and “Data Availability.” The conceptual framework with hypotheses is proposed to provide a foundation for further studies on organizational HRA adoption.

목차

ABSTRACT
Ⅰ. Introduction
Ⅱ. Related TheoriesThis
2.1. Technology-Organization-Environment(TOE) Framework
2.2. Diffusion of Innovation (DOI) Theory
2.3. Unified Theory of Acceptance and Use of Technology (UTAUT) Model
2.4. Integration Theories Approach
Ⅲ. Designs and Methods
3.1. Systematic Literature Reviewing
3.2. Importance of Literature Weighted Scoring (LWS)
3.3. Literature Weighted Scoring (LWS) Concept
3.4. The Application of LWS for HRA Adoption
Ⅳ. Results
4.1. Identifying the Factors of the HRA Adoption
4.2. Structure of HRA Adoption Processes
4.3. Conceptual Framework Establishment and Propositions
Ⅴ. Conclusion and Future Research Directions
5.1. Conclusion
5.2. Future Research Directions
Acknowledgments

저자

• Suchittra Pongpisutsopa [ Ph.D. candidate, Information Technology Management Division, Faculty of Engineering, Mahidol University, Thailand. ] Corresponding Author
• Sotarat Thammaboosadee [ Assistant Professor, Information Technology Management Division, Faculty of Engineering, Mahidol University, Thailand. ]
• Rojjalak Chuckpaiwong [ Lecturer, Information Technology Management Division, Faculty of Engineering, Mahidol University, Thailand. ]

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