Earticle

현재 위치 Home

Determinants of Workforce Analytics Adoption: Organizational, Technological, and Environmental Perspectives

첫 페이지 보기
  • 발행기관
    한국경영정보학회 바로가기
  • 간행물
    Asia Pacific Journal of Information Systems KCI 등재 SCOPUS 바로가기
  • 통권
    제36권 제2호 (2026.06)바로가기
  • 페이지
    pp.292-329
  • 저자
    Jeganathan Gomathi Sankar, Mufaro Dzingirai, Arokiaraj David
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A488022

※ 기관로그인 시 무료 이용이 가능합니다.

8,200원

원문정보

초록

영어
This research aims to analyze the human resource executives’ implementation intention of workforce analytics and its outcome in the Indian hotel industry by extending the technology, organization, and environment model (TOE). To identify the reasons for workforce analytics adoption in the hotel industry, the researchers have adopted a research design in which qualitative and quantitative techniques were used. A total of 250 samples from the hotels located in Bengaluru, Chennai, Kochi, and Hyderabad. This study employed interviews, and the collected data were analyzed using multivariate techniques. The findings ascertained that complexity, relative advantages, compatibility, competitive pressure, training, and management support are the predictors of workforce analytics adoption intention. Regulatory Support does not influence workforce analytics adoption intention. The association between relative advantage and adoption intention weakens in the presence of data privacy concerns. This study offers practitioners and executives in the hotel sector unique practical insights into the antecedents of workforce analytics adoption. This study makes a theoretical contribution by expanding the TOE model to give higher explanatory power using technology, organization, and environment constructs to investigate employee intentions to use workforce analytics.

목차

ABSTRACT
Ⅰ. Introduction
Ⅱ. Conceptual Background
2.1. Workforce Analytics
2.2. Workforce Analytics Adoption
Ⅲ. Research Model and Hypotheses
Ⅳ. Research Methodology
4.1. Qualitative Inquiry
4.2. Measurement Instrument
4.3. Data Collection
Ⅴ. Data Analysis and Results
5.1. Demographic Characteristics
5.2. Scale Reliability and Validity
Ⅵ. Discussion and Implications
6.1. Discussion of Findings
6.2. Limitations and Future Research Directions
6.3. Implications for Research and Practice
Ⅶ. Conclusion

키워드

Workforce Analytics TOE Framework Technology Adoption Human Resource Analytics Data Analytics

저자

  • Jeganathan Gomathi Sankar [ Marketing Educator, BSSS Institute of Advanced Studies, India ] Corresponding Author
  • Mufaro Dzingirai [ Senior Academic, Harold Pupkewitz Graduate School of Business, Namibia University of Science and Technology, Namibia ]
  • Arokiaraj David [ Associate Professor, SBS Swiss Business School, RAK Campus, United Arab Emirates ]

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

이 권호 내 다른 논문 / Asia Pacific Journal of Information Systems 제36권 제2호

    피인용수 : 0건 (자료제공 : 네이버학술정보)

    함께 이용한 논문 이 논문을 다운로드한 분들이 이용한 다른 논문입니다.

      출처 : 네이버학술정보

        0개의 논문이 장바구니에 담겼습니다.

        페이지 저장
        소속기관 조회
        이용자님의 소속기관(단체)이 서비스에 가입되어 있는지 확인해 보십시오.
        기관회원에 소속되어 있는 이용자는 원문을 무료로 이용할 수 있습니다.