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Analysis of Factors Influencing Hospitals’ Implementation of a Green E-Procurement System Using a Cloud Model

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  • Hsin-Pin Fu

    (Department of Marketing and Distribution, National Kaohsiung University of Science and Technology, Kaohsiung 824, Taiwan)

  • Tsung-Sheng Chang

    (Department of Information Management, Da-Yeh University, Changhua 515, Taiwan)

  • Hsiao-Ping Yeh

    (Department of Marketing and Distribution, National Kaohsiung University of Science and Technology, Kaohsiung 824, Taiwan)

  • Yu-Xuan Chen

    (Department of Marketing and Distribution, National Kaohsiung University of Science and Technology, Kaohsiung 824, Taiwan)

Abstract

Currently, the green procurement activities of private hospitals in Taiwan follow the self-built green electronic-procurement (e-procurement) system. This requires professional personnel to take the time to regularly update the green specification and software and hardware of the e-procurement system, and the information system maintenance cost is high. In the case of a green e-procurement system crash, the efficiency of green procurement activities for hospitals is affected. If the green e-procurement can be moved to a convenient and trusty cloud computing model, this will enhance the efficiency of procurement activities and reduce the information maintenance cost for private hospitals. However, implementing a cloud model is an issue of technology innovation application and the technology-organization-environment (TOE) framework has been widely applied as the theoretical framework in technology innovation application. In addition, finding the weight of factors is a multi-criteria decision-making (MCDM) issue. Therefore, the present study first collected factors influencing implementation of the cloud mode together with the TOE as the theoretical framework, by reviewing the literature. Therefore, an expert questionnaire was designed and distributed to top managers of 20 private hospitals in southern Taiwan. The fuzzy analysis hierarchical process (FAHP), which is a MCDM tool, finds the weights of the factors influencing private hospitals in southern Taiwan when they implement a cloud green e-procurement system. The research results can enable private hospitals to successfully implement a green e-procurement system through a cloud model by optimizing resource allocation according to the weight of each factor. In addition, the results of this research can help cloud service providers of green e-procurement understand users’ needs and develop relevant cloud solutions and marketing strategies.

Suggested Citation

  • Hsin-Pin Fu & Tsung-Sheng Chang & Hsiao-Ping Yeh & Yu-Xuan Chen, 2019. "Analysis of Factors Influencing Hospitals’ Implementation of a Green E-Procurement System Using a Cloud Model," IJERPH, MDPI, vol. 16(24), pages 1-16, December.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:24:p:5137-:d:298476
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    References listed on IDEAS

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    1. Theodore S. Glickman & Susan C. White, 2007. "Safety at the source: green chemistry's impact on supply chain management and risk," International Journal of Procurement Management, Inderscience Enterprises Ltd, vol. 1(1/2), pages 227-237.
    2. Yeh, Ching-Chiang & Chen, Yi-Fan, 2018. "Critical success factors for adoption of 3D printing," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 209-216.
    3. Thomas L. Saaty, 1990. "An Exposition of the AHP in Reply to the Paper "Remarks on the Analytic Hierarchy Process"," Management Science, INFORMS, vol. 36(3), pages 259-268, March.
    4. Wang, Yi-Shun & Li, Hsien-Ta & Li, Ci-Rong & Zhang, Ding-Zhong, 2016. "Factors affecting hotels' adoption of mobile reservation systems: A technology-organization-environment framework," Tourism Management, Elsevier, vol. 53(C), pages 163-172.
    5. Duke, Joshua M. & Aull-Hyde, Rhonda, 2002. "Identifying public preferences for land preservation using the analytic hierarchy process," Ecological Economics, Elsevier, vol. 42(1-2), pages 131-145, August.
    6. Aoife De Brún & Eilish McAuliffe, 2018. "Social Network Analysis as a Methodological Approach to Explore Health Systems: A Case Study Exploring Support among Senior Managers/Executives in a Hospital Network," IJERPH, MDPI, vol. 15(3), pages 1-11, March.
    7. Colin Hales, 2005. "Rooted in Supervision, Branching into Management: Continuity and Change in the Role of First‐Line Manager," Journal of Management Studies, Wiley Blackwell, vol. 42(3), pages 471-506, May.
    8. Van Thac Dang & Jianming Wang & Wilson Van-Thac Dang, 2019. "An Integrated Fuzzy AHP and Fuzzy TOPSIS Approach to Assess Sustainable Urban Development in an Emerging Economy," IJERPH, MDPI, vol. 16(16), pages 1-20, August.
    9. Ke, Ming-Tsun & Yeh, Chia-Hung & Su, Cheng-Jie, 2017. "Cloud computing platform for real-time measurement and verification of energy performance," Applied Energy, Elsevier, vol. 188(C), pages 497-507.
    10. Hazen, Benjamin T. & Boone, Christopher A. & Ezell, Jeremy D. & Jones-Farmer, L. Allison, 2014. "Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications," International Journal of Production Economics, Elsevier, vol. 154(C), pages 72-80.
    11. Ali Amiri, 2017. "Application placement in computer clustering in software as a service (SaaS) networks," Information Technology and Management, Springer, vol. 18(2), pages 161-173, June.
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    1. Viviana D’Angelo & Valeria Belvedere, 2023. "Green Supply Chains and Digital Supply Chains: Identifying Overlapping Areas," Sustainability, MDPI, vol. 15(12), pages 1-18, June.
    2. Areej Althabatah & Mohammed Yaqot & Brenno Menezes & Laoucine Kerbache, 2023. "Transformative Procurement Trends: Integrating Industry 4.0 Technologies for Enhanced Procurement Processes," Logistics, MDPI, vol. 7(3), pages 1-40, September.

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