IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i24p5137-d298476.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/24/5137/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/16/24/5137/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hongping Yuan & Yu Yang & Xiaolong Xue, 2019. "Promoting Owners’ BIM Adoption Behaviors to Achieve Sustainable Project Management," Sustainability, MDPI, vol. 11(14), pages 1-18, July.
    2. Gomez-Limon, J.A. & Atance, I., 2004. "Identification of public objectives related to agricultural sector support," Journal of Policy Modeling, Elsevier, vol. 26(8-9), pages 1045-1071, December.
    3. José A. Gómez-Limón & Ignacio Atance, 2004. "Identification of Public Objectives Related to Agricultural Sector Support," Economic Working Papers at Centro de Estudios Andaluces E2004/57, Centro de Estudios Andaluces.
    4. de Camargo Fiorini, Paula & Roman Pais Seles, Bruno Michel & Chiappetta Jabbour, Charbel Jose & Barberio Mariano, Enzo & de Sousa Jabbour, Ana Beatriz Lopes, 2018. "Management theory and big data literature: From a review to a research agenda," International Journal of Information Management, Elsevier, vol. 43(C), pages 112-129.
    5. Aaltonen, Aleksi Ville & Alaimo, Cristina & Kallinikos, Jannis, 2021. "The making of data commodities: data analytics as an embedded process," LSE Research Online Documents on Economics 110296, London School of Economics and Political Science, LSE Library.
    6. Muhammad Khalid Anser & Zahid Yousaf & Muhammad Usman & Seemab Yousaf, 2020. "Towards Strategic Business Performance of the Hospitality Sector: Nexus of ICT, E-Marketing and Organizational Readiness," Sustainability, MDPI, vol. 12(4), pages 1-17, February.
    7. Madjid Tavana & Mariya Sodenkamp & Leena Suhl, 2010. "A soft multi-criteria decision analysis model with application to the European Union enlargement," Annals of Operations Research, Springer, vol. 181(1), pages 393-421, December.
    8. Catherine M.H. Keske & Greta Lohman & John B. Loomis, 2013. "Do Respondents Report Willingness-to-Pay on a per Person or per Group Basis? A High Mountain Recreation Example," Tourism Economics, , vol. 19(1), pages 133-145, February.
    9. Abdelmonaim Okacha & Adil Salhi & Kamal Abdelrahman & Hamid Fattasse & Kamal Lahrichi & Kaoutar Bakhouya & Biraj Kanti Mondal, 2024. "Balancing Environmental and Human Needs: Geographic Information System-Based Analytical Hierarchy Process Land Suitability Planning for Emerging Urban Areas in Bni Bouayach Amid Urban Transformation," Sustainability, MDPI, vol. 16(15), pages 1-24, July.
    10. Ray Qing Cao & Dara G. Schniederjans & Vicky Ching Gu, 2021. "Stakeholder sentiment in service supply chains: big data meets agenda-setting theory," Service Business, Springer;Pan-Pacific Business Association, vol. 15(1), pages 151-175, March.
    11. Severinsen, A. & Myrland, Ø., 2022. "ShinyRBase: Near real-time energy saving models using reactive programming," Applied Energy, Elsevier, vol. 325(C).
    12. Lee, Heeseok & Shi, Yong & Nazem, Sufi M. & Yeol Kang, Sung & Ho Park, Tae & Ho Sohn, Myung, 2001. "Multicriteria hub decision making for rural area telecommunication networks," European Journal of Operational Research, Elsevier, vol. 133(3), pages 483-495, September.
    13. Akhtar, Pervaiz & Khan, Zaheer & Tarba, Shlomo & Jayawickrama, Uchitha, 2018. "The Internet of Things, dynamic data and information processing capabilities, and operational agility," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 307-316.
    14. Pan Liu & Shu-ping Yi, 2018. "Investment decision-making and coordination of a three-stage supply chain considering Data Company in the Big Data era," Annals of Operations Research, Springer, vol. 270(1), pages 255-271, November.
    15. Xin Jiang & Yuyu Liu & Ranhang Zhao, 2019. "A Framework for Ecological Compensation Assessment: A Case Study in the Upper Hun River Basin, Northeast China," Sustainability, MDPI, vol. 11(4), pages 1-13, February.
    16. Guilian Wang & Liyan Zhang & Jing Guo, 2022. "Driving Factors and Mechanisms of AMT Application Levels for Equipment Manufacturing Enterprises: Based on Programmatic Grounded Theory," Sustainability, MDPI, vol. 14(14), pages 1-18, July.
    17. Benjamin T. Hazen & Joseph B. Skipper & Christopher A. Boone & Raymond R. Hill, 2018. "Back in business: operations research in support of big data analytics for operations and supply chain management," Annals of Operations Research, Springer, vol. 270(1), pages 201-211, November.
    18. Bitsch, Vera & Yakura, Elaine K., 2007. "Middle Management in Agriculture: Roles, Functions, and Practices," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 10(2), pages 1-28.
    19. Joshua Duke & Lori Lynch, 2007. "Gauging support for innovative farmland preservation techniques," Policy Sciences, Springer;Society of Policy Sciences, vol. 40(2), pages 123-155, June.
    20. Ukobitz, Desirée Valeria & Faullant, Rita, 2022. "The relative impact of isomorphic pressures on the adoption of radical technology: Evidence from 3D printing," Technovation, Elsevier, vol. 113(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:16:y:2019:i:24:p:5137-:d:298476. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.