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Determinants of Satisfaction in the Usage of Healthcare Information Systems by Hospital Workers in Hyderabad, India: Neural Network and SEM Approach

첫 페이지 보기
  • 발행기관
    한국경영정보학회 바로가기
  • 간행물
    Asia Pacific Journal of Information Systems KCI 등재 SCOPUS 바로가기
  • 통권
    제33권 제4호 (2023.12)바로가기
  • 페이지
    pp.934-956
  • 저자
    Surya Neeragatti, Ranjit Kumar Dehury
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A440266

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원문정보

초록

영어
This study focuses on the adoption of Healthcare Information System (HIS) in India’s healthcare services, which has led to an increased use of HIS software for managing patient information in hospitals. The study aims to evaluate the factors that influence hospital workers’ satisfaction with HIS usage and its impact on their intention to continue in the use of HIS. Primary data was collected through a survey questionnaire from 265 hospital workers. A new framework was developed, and Structural Equation Modeling (SEM) was used for analysis. Sensitivity analysis was also conducted on demographic data using an Artificial Neural Network (ANN) approach. The results indicated that all hypotheses were significant (p < 0.05). Effort expectancy was the most significant factor influencing hospital workers’ satisfaction (p < 0.01). Sensitivity analysis showed that education (Model-A) and experience in use of HIS (Model-B) were the most important factors. The study contributes by proposing a new theoretical framework and extending the previous research on HIS usage satisfaction. Overall, the study highlights the importance of easiness and usefulness in predicting HIS usage satisfaction.

목차

ABSTRACT
Ⅰ. Introduction
Ⅱ. Conceptual Background
2.1. Healthcare Information System (HIS)
2.2. Unified Theory of Acceptance and Use of Technology (UTAUT)
2.3. Artificial Neural Networking (ANN)
Ⅲ. Research Model and Hypothesis Formation
Ⅳ. Materials and Methods
4.1. Study Design and Data Collection
4.2. Survey and Instrument Design
4.3. Statistical Analysis
4.4. The ANN Sensitivity Analysis and Architecture
Ⅴ. Results
5.1. Measurement Model Analysis
5.2. Structural Model Analysis
5.3. Hypothesis Testing
5.4. Sensitivity Analysis of Demographical Data
Ⅵ. Discussion and Implications
6.1. Findings and Discussion
6.2. Implications
6.3. Limitations and Future Research Directions
Ⅶ. Conclusion
Acknowledgements

키워드

Healthcare Information Systems UTAUT Artificial Neural Networks (ANN) Technology Adoption Hospital Workers

저자

  • Surya Neeragatti [ Ph.D., University of Hyderabad, Hyderabad, India ] Corresponding Author
  • Ranjit Kumar Dehury [ Assistant Professor, University of Hyderabad, Hyderabad, India ]

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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