IDEAS home Printed from https://ideas.repec.org/a/rbs/ijbrss/v8y2019i6p278-286.html
   My bibliography  Save this article

Determinant of using clouds based systems with dual factor theory approach

Author

Listed:
  • Nindia Nur Arifiana Putri

    (Accounting Department, University of Brawijaya,Kota Malang, Jawa Timur 65145, Indonesia)

  • Rosidi Rosidi

    (Accounting Department, University of Brawijaya,Kota Malang, Jawa Timur 65145, Indonesia)

  • Zaki Baridwan

    (Accounting Department, University of Brawijaya,Kota Malang, Jawa Timur 65145, Indonesia)

Abstract

This research is the use of cloud-based regional information management system (IT) by applying existing theories. The purpose of this study is to investigate enablers and inhibitors including the dual factor theory of the use of cloud-based regional management information systems. This research directly empirical tests in Jember Regency, include: IT infrastructure problem variables on the perceived of usefulness, IT infrastructure problem variables on the perceived ease of use, IT infrastructure problem variables on the use of cloud-based regional management information systems, perceived usefulness of cloud-based regional management information systems and perceived ease of use of using regional management information systems cloud based. The sample selection technique in this study uses purposive sampling and data analysis uses multiple regression. The data that has been analyzed using smartPLS version 2. The results show, first the IT infrastructure problems negatively affect the perceived usefulness. Second, IT infrastructure problems negatively affect perceived ease of use. Third, IT infrastructure problems negatively affect the use of cloud-based regional information systems. Fourth, perceived usefulness has a positive effect on the use of cloud-based regional information systems. Fifth, the perceived ease of use for the use of cloud-based regional information systems. Key Words: Inhibitator, Enabler, Dual Factor Theory, TAM

Suggested Citation

  • Nindia Nur Arifiana Putri & Rosidi Rosidi & Zaki Baridwan, 2019. "Determinant of using clouds based systems with dual factor theory approach," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 8(6), pages 278-286, October.
    • Handle: RePEc:rbs:ijbrss:v:8:y:2019:i:6:p:278-286
    as

    Download full text from publisher

    File URL: https://www.ssbfnet.com/ojs/index.php/ijrbs/article/view/563/491
    Download Restriction: no
    File URL: https://www.ssbfnet.com/ojs/index.php/ijrbs/article/view/563/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ronald T. Cenfetelli & Andrew Schwarz, 2011. "Identifying and Testing the Inhibitors of Technology Usage Intentions," Information Systems Research, INFORMS, vol. 22(4), pages 808-823, December.
    Full references (including those not matched with items on IDEAS)

    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. Hajiheydari, Nastaran & Delgosha, Mohammad Soltani & Olya, Hossein, 2021. "Scepticism and resistance to IoMT in healthcare: Application of behavioural reasoning theory with configurational perspective," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    2. Yi Sun & Shihui Li & Lingling Yu, 2022. "The dark sides of AI personal assistant: effects of service failure on user continuance intention," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 17-39, March.
    3. Manli Wu, 2022. "What Drives People to Share Misinformation on Social Media during the COVID-19 Pandemic: A Stimulus-Organism-Response Perspective," IJERPH, MDPI, vol. 19(18), pages 1-18, September.
    4. Sohn, Stefanie & Groß, Michael, 2020. "Understanding the inhibitors to consumer mobile purchasing intentions," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    5. Remigiusz Kozlowski & Marek Matejun, 2015. "The identification of difficulties in using advanced technologies in the implementation of projects," International Journal of Business and Management, International Institute of Social and Economic Sciences, vol. 3(4), pages 41-60, November.
    6. Daeheon Choi & Chune Young Chung & Thou Seyha & Jason Young, 2020. "Factors Affecting Organizations’ Resistance to the Adoption of Blockchain Technology in Supply Networks," Sustainability, MDPI, vol. 12(21), pages 1-37, October.
    7. Ae-Ri Lee, 2021. "Investigating the Personalization–Privacy Paradox in Internet of Things (IoT) Based on Dual-Factor Theory: Moderating Effects of Type of IoT Service and User Value," Sustainability, MDPI, vol. 13(19), pages 1-27, September.
    8. Fang, Bin & Ye, Qiang & Kucukusta, Deniz & Law, Rob, 2016. "Analysis of the perceived value of online tourism reviews: Influence of readability and reviewer characteristics," Tourism Management, Elsevier, vol. 52(C), pages 498-506.
    9. Collins Opoku Antwi & Jun Ren & Wilberforce Owusu-Ansah & Henry Kofi Mensah & Michael Osei Aboagye, 2021. "Airport Self-Service Technologies, Passenger Self-Concept, and Behavior: An Attributional View," Sustainability, MDPI, vol. 13(6), pages 1-18, March.
    10. Xiongfei Cao & Ali Nawaz Khan & Ahsan Ali & Naseer Abbas Khan, 0. "Consequences of Cyberbullying and Social Overload while Using SNSs: A Study of Users’ Discontinuous Usage Behavior in SNSs," Information Systems Frontiers, Springer, vol. 0, pages 1-14.
    11. Vinoi, Nivin & Shankar, Amit & Mehrotra, Ankit & Kumar, Jitender & Azad, Nasreen, 2024. "Enablers and inhibitors of digital hoarding behaviour. An application of dual-factor theory and regret theory," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
    12. Na, Eunkyung & Jung, Yoonhyuk & Kim, Seongcheol, 2023. "How do care service managers and workers perceive care robot adoption in elderly care facilities?," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    13. Xiongfei Cao & Ali Nawaz Khan & Ahsan Ali & Naseer Abbas Khan, 2020. "Consequences of Cyberbullying and Social Overload while Using SNSs: A Study of Users’ Discontinuous Usage Behavior in SNSs," Information Systems Frontiers, Springer, vol. 22(6), pages 1343-1356, December.
    14. Delgosha, Mohammad Soltani & Hajiheydari, Nastaran, 2020. "On-demand service platforms pro/anti adoption cognition: Examining the context-specific reasons," Journal of Business Research, Elsevier, vol. 121(C), pages 180-194.
    15. Zhen Shao & Lin Zhang & Tian Meng & Jing Zhang, 2024. "The paradox of technology quality and ethical concerns in building trust and behavioral intention in the AI-enabled face recognition payment," Electronic Markets, Springer;IIM University of St. Gallen, vol. 34(1), pages 1-20, December.
    16. Vinoi, Nivin & Shankar, Amit & Khalil, Ashraf & Mehrotra, Ankit & Kumar, Jitender, 2024. "Holding on to your memories: Factors influencing social media hoarding behaviour," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    17. Das, Manoj & Ramalingam, Mahesh, 2023. "To praise or not to praise- Role of word of mouth in food delivery apps," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    18. Arslan Aziz & Hui Li & Rahul Telang, 2023. "The Consequences of Rating Inflation on Platforms: Evidence from a Quasi-Experiment," Information Systems Research, INFORMS, vol. 34(2), pages 590-608, June.
    19. Yang, Hee Dong & Karon, Christoph & Kang, Sora, 2012. "To Convert or not to Convert to the Upgraded Version of de-facto Standard Software," CEI Working Paper Series 2012-02, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    20. Turel, Ofir & Connelly, Catherine E., 2013. "Too busy to help: Antecedents and outcomes of interactional justice in web-based service encounters," International Journal of Information Management, Elsevier, vol. 33(4), pages 674-683.

    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:rbs:ijbrss:v:8:y:2019:i:6:p:278-286. 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: Umit Hacioglu (email available below). General contact details of provider: https://edirc.repec.org/data/ssbffea.html .

    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.