Nothing Special   »   [go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i21p14253-d959802.html
   My bibliography  Save this article

Predictors of Intention to Use a Sustainable Cloud-Based Quality Management System among Academics in Jordan

Author

Listed:
  • Dima Dajani

    (Department of Digital Marketing, Faculty of Business, Al-Zaytoonah University of Jordan, P.O. Box 130, Amman 11733, Jordan)

  • Saad G. Yaseen

    (Department of Business Administration, Faculty of Business, Al-Zaytoonah University of Jordan, Amman 11733, Jordan)

  • Ihab El Qirem

    (Department of Digital Marketing, Faculty of Business, Al-Zaytoonah University of Jordan, P.O. Box 130, Amman 11733, Jordan)

  • Hanadi Sa’d

    (Faculty of Business, Al-Zaytoonah University of Jordan, Amman 11733, Jordan)

Abstract
This research aims to provide a predictive model of essential factors influencing the behavioral intention to use sustainable cloud-based quality management systems among academics in Jordan. A comprehensive research model was developed based on the Unified Theory of Acceptance and Use of Technology (UTAUT2) and the Theory of Planned Behavior (TPB), which was tested using cross-sectional data. The research sample covers Jordanian higher education institutions (23 governmental and private universities), and the unit of analysis includes 500 academics. The research adapts and modifies the UTAUT2 model and TPB to explain behavioral intention to use sustainable cloud-based quality management systems in developing countries. The proposed model explained 0.478 percent of behavioral intention variance and 0.127 percent of the user behavior variance. Three constructs are found to be significant predictors: perceived behavioral control, performance expectancy, and facilitating conditions. The attitude toward the behavior and subjective norm are not significant predictors. The research contributes to the literature in several ways. First, it extends previous studies by examining predictors of the behavioral intention to use SCQMS in higher education institutions. Second, it provides rigorous empirical evidence that incorporating the UTAUT2 model with the TPB produced a substantial improvement in the variance explained in behavioral intention compared to the prior research conducted in developing contexts. Third, this research provides useful insight into university management. The research provides a better understanding of the essential factors influencing the behavior intention to use sustainable cloud-based quality management systems in Jordanian Universities. Thus, the research model provides better explanatory power than previous studies in business literature and developing markets.

Suggested Citation

  • Dima Dajani & Saad G. Yaseen & Ihab El Qirem & Hanadi Sa’d, 2022. "Predictors of Intention to Use a Sustainable Cloud-Based Quality Management System among Academics in Jordan," Sustainability, MDPI, vol. 14(21), pages 1-18, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:14253-:d:959802
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/21/14253/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/21/14253/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mark Chan & Irene Woon & Atreyi Kankanhalli, 2005. "Perceptions of Information Security in the Workplace: Linking Information Security Climate to Compliant Behavior," Journal of Information Privacy and Security, Taylor & Francis Journals, vol. 1(3), pages 18-41, July.
    2. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    3. Gleim, Mark R. & Smith, Jeffery S. & Andrews, Demetra & Cronin, J. Joseph, 2013. "Against the Green: A Multi-method Examination of the Barriers to Green Consumption," Journal of Retailing, Elsevier, vol. 89(1), pages 44-61.
    4. Sheppard, Blair H & Hartwick, Jon & Warshaw, Paul R, 1988. "The Theory of Reasoned Action: A Meta-analysis of Past Research with Recommendations for Modifications and Future Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 15(3), pages 325-343, December.
    5. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer;The Psychometric Society, vol. 16(3), pages 297-334, September.
    6. Kieran Mathieson, 1991. "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, INFORMS, vol. 2(3), pages 173-191, September.
    7. Khaled Saleh Al Omoush & Raed M. Al-Qirem & Zaid M. Al Hawatmah, 2018. "The degree of e-business entrepreneurship and long-term sustainability: an institutional perspective," Information Systems and e-Business Management, Springer, vol. 16(1), pages 29-56, February.
    8. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    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. Emmanuel Bruce & Zhao Shurong & Du Ying & Meng Yaqi & John Amoah & Sulemana Bankuoru Egala, 2023. "The Effect of Digital Marketing Adoption on SMEs Sustainable Growth: Empirical Evidence from Ghana," Sustainability, MDPI, vol. 15(6), pages 1-24, March.

    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. Venkatesh, Viswanath & Maruping, Likoebe M. & Brown, Susan A., 2006. "Role of time in self-prediction of behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 100(2), pages 160-176, July.
    2. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    3. Gao, Tao (Tony) & Rohm, Andrew J. & Sultan, Fareena & Pagani, Margherita, 2013. "Consumers un-tethered: A three-market empirical study of consumers' mobile marketing acceptance," Journal of Business Research, Elsevier, vol. 66(12), pages 2536-2544.
    4. van Hoesel, C.P.M. & Goossens, J.H.M. & Kroon, L.G., 2001. "A branch-and-cut approach for solving line planning problems," Research Memorandum 016, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    5. Banu Demirel & Ayça Kübra Hızarcı Payne, 2018. "Social Innovation Adoption Behavior: The Case of Zumbara," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 15(02), pages 1-19, April.
    6. Amy Wenxuan Ding & Shibo Li & Patrali Chatterjee, 2015. "Learning User Real-Time Intent for Optimal Dynamic Web Page Transformation," Information Systems Research, INFORMS, vol. 26(2), pages 339-359, June.
    7. Christopher R. Plouffe & John S. Hulland & Mark Vandenbosch, 2001. "Research Report: Richness Versus Parsimony in Modeling Technology Adoption Decisions—Understanding Merchant Adoption of a Smart Card-Based Payment System," Information Systems Research, INFORMS, vol. 12(2), pages 208-222, June.
    8. Yogesh K. Dwivedi & Nripendra P. Rana & Anand Jeyaraj & Marc Clement & Michael D. Williams, 2019. "Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model," Information Systems Frontiers, Springer, vol. 21(3), pages 719-734, June.
    9. Ingrid Gottschalk & Stefan Kirn, 2013. "Cloud Computing As a Tool for Enhancing Ecological Goals?," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(5), pages 299-313, October.
    10. Riffai, M.M.M.A. & Grant, Kevin & Edgar, David, 2012. "Big TAM in Oman: Exploring the promise of on-line banking, its adoption by customers and the challenges of banking in Oman," International Journal of Information Management, Elsevier, vol. 32(3), pages 239-250.
    11. Yossi Maaravi & Ben Heller, 2021. "Digital Innovation in Times of Crisis: How Mashups Improve Quality of Education," Sustainability, MDPI, vol. 13(13), pages 1-18, June.
    12. Syed Shah Alam & Maisarah Ahmad & Abdullah Sanusi Othman & Zullina Bt Hussain Shaari & Mohammad Masukujjaman, 2021. "Factors Affecting Photovoltaic Solar Technology Usage Intention among Households in Malaysia: Model Integration and Empirical Validation," Sustainability, MDPI, vol. 13(4), pages 1-20, February.
    13. Venkatesh, Viswanath & Morris, Michael G. & Ackerman, Phillip L., 2000. "A Longitudinal Field Investigation of Gender Differences in Individual Technology Adoption Decision-Making Processes," Organizational Behavior and Human Decision Processes, Elsevier, vol. 83(1), pages 33-60, September.
    14. Sudipa Majumdar & Vijay Pujari, 2022. "Exploring usage of mobile banking apps in the UAE: a categorical regression analysis," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 27(3), pages 177-189, September.
    15. Nedra, Bahri-Ammari & Hadhri, Walid & Mezrani, Mariem, 2019. "Determinants of customers' intentions to use hedonic networks: The case of Instagram," Journal of Retailing and Consumer Services, Elsevier, vol. 46(C), pages 21-32.
    16. Ofir Turel & Yufei Yuan, 2007. "User Acceptance of Web-Based Negotiation Support Systems: The Role of Perceived Intention of the Negotiating Partner to Negotiate Online," Group Decision and Negotiation, Springer, vol. 16(5), pages 451-468, September.
    17. Keen, Cherie & Wetzels, Martin & de Ruyter, Ko & Feinberg, Richard, 2004. "E-tailers versus retailers: Which factors determine consumer preferences," Journal of Business Research, Elsevier, vol. 57(7), pages 685-695, July.
    18. Hasan, Rajibul & Lowe, Ben & Petrovici, Dan, 2020. "Consumer adoption of pro-poor service innovations in subsistence marketplaces," Journal of Business Research, Elsevier, vol. 121(C), pages 461-475.
    19. Paul Juinn Bing Tan, 2013. "Applying the UTAUT to Understand Factors Affecting the Use of English E-Learning Websites in Taiwan," SAGE Open, , vol. 3(4), pages 21582440135, October.
    20. Garima Malik & A. Sajeevan Rao, 2019. "Extended expectation-confirmation model to predict continued usage of ODR/ride hailing apps: role of perceived value and self-efficacy," Information Technology & Tourism, Springer, vol. 21(4), pages 461-482, December.

    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:jsusta:v:14:y:2022:i:21:p:14253-:d:959802. 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.