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Cloud computing adoption and its impact on SMEs’ performance for cloud supported operations: A dual-stage analytical approach

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  • Khayer, Abul
  • Talukder, Md. Shamim
  • Bao, Yukun
  • Hossain, Md. Nahin

Abstract

This paper investigates the key predictors of cloud computing adoption, and further, assesses how cloud computing adoption affects small and medium enterprises' (SMEs') performance. To test the proposed model, we have applied a dual-stage analytical approach by combining structural equation modeling (SEM) and artificial neural network (ANN). SEM results reveal that relative advantage, service quality, perceived risks, top management supports, facilitating conditions, cloud providers influence, server location, computer self-efficacy, and resistance to change have a significant effect on the adoption of cloud computing. Also, this study confirms the positive impact of cloud computing adoption on firm performance. The results of importance-performance map analysis (IPMA) suggest that managerial actions should focus more on improving perceived risk, relative advantage, and top management support. Besides, the results of neural network analysis indicate that the most significant predictor of cloud adoption is server location followed by facilitating conditions, relative advantage, service quality, top management support, computer self-efficacy, perceived risks, cloud provider's influence, and resistance to change. We also discuss the implications of the research that can assist researchers, owners/managers, policymakers, and cloud providers by offering valuable insights regarding cloud computing adoption in SMEs.

Suggested Citation

  • Khayer, Abul & Talukder, Md. Shamim & Bao, Yukun & Hossain, Md. Nahin, 2020. "Cloud computing adoption and its impact on SMEs’ performance for cloud supported operations: A dual-stage analytical approach," Technology in Society, Elsevier, vol. 60(C).
    • Handle: RePEc:eee:teinso:v:60:y:2020:i:c:s0160791x19301599
    DOI: 10.1016/j.techsoc.2019.101225
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    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. Rahi, Samar & Abd.Ghani, Mazuri & Hafaz Ngah, Abdul, 2019. "Integration of unified theory of acceptance and use of technology in internet banking adoption setting: Evidence from Pakistan," Technology in Society, Elsevier, vol. 58(C).
    3. Bayrak, Tuncay, 2013. "A decision framework for SME Information Technology (IT) managers: Factors for evaluating whether to outsource internal applications to Application Service Providers," Technology in Society, Elsevier, vol. 35(1), pages 14-21.
    4. Spatar, Daria & Kok, Orhun & Basoglu, Nuri & Daim, Tugrul, 2019. "Adoption factors of electronic health record systems," Technology in Society, Elsevier, vol. 58(C).
    5. Talukder, Md Shamim & Shen, Liang & Hossain Talukder, Md Farid & Bao, Yukun, 2019. "Determinants of user acceptance and use of open government data (OGD): An empirical investigation in Bangladesh," Technology in Society, Elsevier, vol. 56(C), pages 147-156.
    6. Naveed, Kashif & Watanabe, Chihiro & Neittaanmäki, Pekka, 2018. "The transformative direction of innovation toward an IoT-based society - Increasing dependency on uncaptured GDP in global ICT firms," Technology in Society, Elsevier, vol. 53(C), pages 23-46.
    7. Henderson, Dave & Sheetz, Steven D. & Trinkle, Brad S., 2012. "The determinants of inter-organizational and internal in-house adoption of XBRL: A structural equation model," International Journal of Accounting Information Systems, Elsevier, vol. 13(2), pages 109-140.
    8. Maikudi Shehu Musawa & Eta Wahab, 2012. "The adoption of electronic data interchange (EDI) technology by Nigerian SMEs: A conceptual framework," E3 Journal of Business Management and Economics., E3 Journals, vol. 3(2), pages 055-068.
    9. Fernandes, Silvia & Belo, Ana & Castela, Guilherme, 2016. "Social network enterprise behaviors and patterns in SMEs: Lessons from a Portuguese local community centered around the tourism industry," Technology in Society, Elsevier, vol. 44(C), pages 15-22.
    10. Yogesh K. Dwivedi & David Wastell & Sven Laumer & Helle Zinner Henriksen & Michael D. Myers & Deborah Bunker & Amany Elbanna & M. N. Ravishankar & Shirish C. Srivastava, 2015. "Research on information systems failures and successes: Status update and future directions," Information Systems Frontiers, Springer, vol. 17(1), pages 143-157, February.
    11. Ratten, Vanessa, 2016. "Continuance use intention of cloud computing: Innovativeness and creativity perspectives," Journal of Business Research, Elsevier, vol. 69(5), pages 1737-1740.
    12. repec:ucp:bkecon:9780226316529 is not listed on IDEAS
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