IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v52y2018i6d10.1007_s11135-017-0540-5.html
   My bibliography  Save this article

Nursing staff intentions to continuously use a blended e-learning system from an integrative perspective

Author

Listed:
  • Yueh-Ying Tsai

    (Chang Gung University of Science and Technology
    Yunlin Christian Hospital)

  • Cheng-Min Chao

    (National Taichung University of Science and Technology)

  • Hong-Mau Lin

    (National Taiwan University Hospital Yunlin Branch
    National Yunlin University of Science and Technology)

  • Bor-Wen Cheng

    (National Yunlin University of Science and Technology)

Abstract

The blended e-learning system (BELS), combining face-to-face classes with e-learning modules, is now widely used in education. The primary purpose of this research was to investigate the factors affecting nurses’ behavioral intentions of using the BELS. We synthesized the technology acceptance model, the information system (IS) success model, and perceived enjoyment (PE) into a hypothesized model to discuss and predict nurses’ intentions of using the BELS continuously. Self-reporting questionnaires were distributed to district hospitals and regional hospitals in central Taiwan. From the 800 distributed questionnaires, we received 557 completed questionnaires, yielding a response rate of 69.6%. Structural equation modeling was used to show that information quality, system quality, and service quality significantly affect perceived usefulness (PU) and the perceived ease of use (PEOU). The effect of service quality on PU, however, was not significant. PU, PEOU, and PE were significantly related to the attitude, and indirectly, to the behavioral intention of using the BELS. This research contributed to the literature by (1) identifying the IS success model (information quality, system quality, and service quality) and PE as antecedents of BELS usage; (2) advancing the theoretical development of behavioral intention regarding nurses’ use of the BELS; (3) providing empirical support for the effects of external factors on the PU and PEOU, which lead to attitude and behavioral intention of usage; and (4) providing hospital managers with a reference for assessing future developments and approaches to promote the BELS.

Suggested Citation

  • Yueh-Ying Tsai & Cheng-Min Chao & Hong-Mau Lin & Bor-Wen Cheng, 2018. "Nursing staff intentions to continuously use a blended e-learning system from an integrative perspective," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(6), pages 2495-2513, November.
    • Handle: RePEc:spr:qualqt:v:52:y:2018:i:6:d:10.1007_s11135-017-0540-5
    DOI: 10.1007/s11135-017-0540-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11135-017-0540-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11135-017-0540-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. William H. DeLone & Ephraim R. McLean, 1992. "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, INFORMS, vol. 3(1), pages 60-95, March.
    3. John Hulland, 1999. "Use of partial least squares (PLS) in strategic management research: a review of four recent studies," Strategic Management Journal, Wiley Blackwell, vol. 20(2), pages 195-204, February.
    4. 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.
    5. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    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. Ahmad Almagrashi & Abdulwahab Mujalli & Tehmina Khan & Osama Attia, 2023. "Factors determining internal auditors’ behavioral intention to use computer-assisted auditing techniques: an extension of the UTAUT model and an empirical study," Future Business Journal, Springer, vol. 9(1), pages 1-19, December.
    2. Vishal Samartha & Samarth Shenoy Basthikar & Iqbal Thonse Hawaldar & Cristi Spulbar & Ramona Birau & Robert Dorin Filip, 2022. "A Study on the Acceptance of Mobile-Banking Applications in India—Unified Theory of Acceptance and Sustainable Use of Technology Model (UTAUT)," Sustainability, MDPI, vol. 14(21), pages 1-16, November.
    3. Meennapa Rukhiran & Napasorn Phaokla & Paniti Netinant, 2022. "Adoption of Environmental Information Chatbot Services Based on the Internet of Educational Things in Smart Schools: Structural Equation Modeling Approach," Sustainability, MDPI, vol. 14(23), pages 1-32, November.
    4. Sheshadri Chatterjee & Nripendra P. Rana & Sangeeta Khorana & Patrick Mikalef & Anuj Sharma, 2023. "Assessing Organizational Users’ Intentions and Behavior to AI Integrated CRM Systems: a Meta-UTAUT Approach," Information Systems Frontiers, Springer, vol. 25(4), pages 1299-1313, August.

    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. Yadgar Taha M. Hamakhan, 2020. "The effect of individual factors on user behaviour and the moderating role of trust: an empirical investigation of consumers’ acceptance of electronic banking in the Kurdistan Region of Iraq," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-29, December.
    2. Nripendra P. Rana & Yogesh K. Dwivedi & Banita Lal & Michael D. Williams & Marc Clement, 2017. "Citizens’ adoption of an electronic government system: towards a unified view," Information Systems Frontiers, Springer, vol. 19(3), pages 549-568, June.
    3. Haque, Md Ziaul & Qian, Aimin & Hoque, Md Rakibul & Lucky, Suraiea Akter, 2022. "A unified framework for exploring the determinants of online social networks (OSNs) on institutional investors’ capital market investment decision," Technology in Society, Elsevier, vol. 70(C).
    4. Albayati, Hayder & Kim, Suk Kyoung & Rho, Jae Jeung, 2020. "Accepting financial transactions using blockchain technology and cryptocurrency: A customer perspective approach," Technology in Society, Elsevier, vol. 62(C).
    5. Mütterlein, Joschka & Kunz, Reinhard E. & Baier, Daniel, 2019. "Effects of lead-usership on the acceptance of media innovations: A mobile augmented reality case," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 113-124.
    6. Soud M. Almahamid & Amjad F. Tweiqat & Mousa S. Almanaseer, 2016. "University website quality characteristics and success: lecturers' perspective," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 22(1), pages 41-61.
    7. Escobar-Rodríguez, Tomás & Bartual-Sopena, Lourdes, 2015. "Impact of cultural factors on attitude toward using ERP systems in public hospitals," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 18(2), pages 127-137.
    8. Nripendra P. Rana & Yogesh K. Dwivedi & Banita Lal & Michael D. Williams & Marc Clement, 0. "Citizens’ adoption of an electronic government system: towards a unified view," Information Systems Frontiers, Springer, vol. 0, pages 1-20.
    9. Philippe Cohard, 2020. "Information Systems Values: A Study of the Intranet in Three French Higher Education Institutions," Post-Print hal-02987225, HAL.
    10. Abdesamad Zouine & Pierre Fenies, 2014. "The Critical Success Factors Of The ERP System Project: A Meta-Analysis Methodology," Post-Print hal-01419785, HAL.
    11. Chen-Yuan Chen & Bih-Yaw Shih & Shih-Hsien Yu, 2012. "Disaster prevention and reduction for exploring teachers’ technology acceptance using a virtual reality system and partial least squares techniques," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 62(3), pages 1217-1231, July.
    12. Mäntymäki, Matti & Salo, Jari, 2013. "Purchasing behavior in social virtual worlds: An examination of Habbo Hotel," International Journal of Information Management, Elsevier, vol. 33(2), pages 282-290.
    13. Nistor, Cristian, 2013. "A conceptual model for the use of social media in companies," MPRA Paper 44224, University Library of Munich, Germany.
    14. Siti Salwa Mohd Ishak & Sidney Newton, 2018. "Testing a Model of User Resistance Towards Technology Adoption in Construction Organizations," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 15(06), pages 1-27, December.
    15. Sarv Devaraj & Ming Fan & Rajiv Kohli, 2002. "Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics," Information Systems Research, INFORMS, vol. 13(3), pages 316-333, September.
    16. Shafiqul Islam & Mohammad Fakhrul Islam & Noor-E- Zannat, 2023. "Behavioral Intention to Use Online for Shopping in Bangladesh: A Technology Acceptance Model Analysis," SAGE Open, , vol. 13(3), pages 21582440231, September.
    17. Christian Nitzl & Wynne W. Chin, 2017. "The case of partial least squares (PLS) path modeling in managerial accounting research," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 28(2), pages 137-156, May.
    18. Sharath Sasidharan & Radhika Santhanam & Daniel J. Brass & Vallabh Sambamurthy, 2012. "The Effects of Social Network Structure on Enterprise Systems Success: A Longitudinal Multilevel Analysis," Information Systems Research, INFORMS, vol. 23(3-part-1), pages 658-678, September.
    19. Juan F. Tavera Mesías & Juan C. Sánchez Giraldo & Bernardo Ballesteros Díaz, 2011. "Aceptación del E-Commerce en Colombia: un estudio para la ciudad de Medellín," Revista Facultad de Ciencias Económicas, Universidad Militar Nueva Granada, December.
    20. Nripendra P. Rana & Yogesh K. Dwivedi & Michael D. Williams & Vishanth Weerakkody, 2015. "Investigating success of an e-government initiative: Validation of an integrated IS success model," Information Systems Frontiers, Springer, vol. 17(1), pages 127-142, February.

    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:spr:qualqt:v:52:y:2018:i:6:d:10.1007_s11135-017-0540-5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.