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Factors Affecting HR Analytics Adoption : A Systematic Review Using Literature Weighted Scoring Approach

첫 페이지 보기
  • 발행기관
    한국경영정보학회 바로가기
  • 간행물
    Asia Pacific Journal of Information Systems KCI 등재 SCOPUS 바로가기
  • 통권
    제30권 제4호 (2020.12)바로가기
  • 페이지
    pp.847-878
  • 저자
    Suchittra Pongpisutsopa, Sotarat Thammaboosadee, Rojjalak Chuckpaiwong
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A387915

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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

키워드

HR Analytics Adoption Innovation Adoption TOE Framework Systematic Literature Review Weighted Scoring

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. ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    한국경영정보학회 [The Korea Society of Management information Systems]
  • 설립연도
    1989
  • 분야
    사회과학>경영학
  • 소개
    이 학회는 경영정보학의 연구 및 교류를 촉진하고 학문의 발전과 응용에 공헌함을 목적으로 합니다.

간행물

  • 간행물명
    Asia Pacific Journal of Information Systems
  • 간기
    계간
  • pISSN
    2288-5404
  • eISSN
    2288-6818
  • 수록기간
    1990~2026
  • 등재여부
    KCI 등재,SCOPUS
  • 십진분류
    KDC 325 DDC 658

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