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Factors Affecting Intention to Adopt Cloud-Based ERP from a Comprehensive Approach

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  • Byungchan Ahn

    (Graduate School of Business IT, Kookmin University, 77 Jeongneung-ro, Seongbuk-gu, Seoul 02707, Korea)

  • Hyunchul Ahn

    (Graduate School of Business IT, Kookmin University, 77 Jeongneung-ro, Seongbuk-gu, Seoul 02707, Korea)

Abstract

To enhance the sustainability of business operations, enterprises have interests in enterprise resource planning (ERP) transitions from an existing on-premise method to a cloud-based system. This study conducts a comprehensive analysis using the technology-organization-environment, diffusion of innovation, and the model of innovation resistance frameworks. The empirical analysis shows that the factors of organizational culture, regulatory environment, relative advantage, trialability, and vendor lock-in all had a significant influence on the intention to adopt cloud-based ERP, while information and communications technology skill, complexity, observability, data security, and customization had no significant influence on the intention to adopt cloud-based ERP. This study’s findings provide meaningful guidance for companies that want to adopt cloud-based ERP, governments that support enterprise digitalization, and vendors who sell cloud-based ERP systems.

Suggested Citation

  • Byungchan Ahn & Hyunchul Ahn, 2020. "Factors Affecting Intention to Adopt Cloud-Based ERP from a Comprehensive Approach," Sustainability, MDPI, vol. 12(16), pages 1-27, August.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:16:p:6426-:d:396849
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    References listed on IDEAS

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    1. Usman Musa Zakari Usman & Mohammad Nazir Ahmad & Nor Hidayati Zakaria, 2019. "The Determinants of Adoption of Cloud-Based ERP of Nigerian's SMES Manufacturing Sector Using Toe Framework and Doi Theory," International Journal of Enterprise Information Systems (IJEIS), IGI Global, vol. 15(3), pages 27-43, July.
    2. Ram, Jiwat & Corkindale, David & Wu, Ming-Lu, 2013. "Implementation critical success factors (CSFs) for ERP: Do they contribute to implementation success and post-implementation performance?," International Journal of Production Economics, Elsevier, vol. 144(1), pages 157-174.
    3. Shivam Gupta & Régis Meissonier & Vinayak Drave & David Roubaud, 2020. "Examining the impact of Cloud ERP on sustainable performance: A dynamic capability view," Post-Print hal-02914021, HAL.
    4. Karim Mezghani, 2014. "Switching Toward Cloud ERP: A Research Model to Explain Intentions," International Journal of Enterprise Information Systems (IJEIS), IGI Global, vol. 10(3), pages 46-61, July.
    5. Benlian, Alexander & Hess, Thomas, 2011. "Opportunities and risks of Software-as-a-Service: Findings from a survey of IT executives," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 58025, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    6. Premkumar, G. & Roberts, Margaret, 1999. "Adoption of new information technologies in rural small businesses," Omega, Elsevier, vol. 27(4), pages 467-484, August.
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    Cited by:

    1. Mirjana Pejić Bach & Amir Topalović & Lejla Turulja, 2023. "Data mining usage in Italian SMEs: an integrated SEM-ANN approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(3), pages 941-973, September.
    2. Asimina Kouriati & Christina Moulogianni & Georgios Kountios & Thomas Bournaris & Eleni Dimitriadou & George Papadavid, 2022. "Evaluation of Critical Success Factors for Enterprise Resource Planning Implementation Using Quantitative Methods in Agricultural Processing Companies," Sustainability, MDPI, vol. 14(11), pages 1-13, May.
    3. Huang, Dan & Jin, Xin & Coghlan, Alexandra, 2021. "Advances in consumer innovation resistance research: A review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    4. Patryk Morawiec & Anna Sołtysik-Piorunkiewicz, 2022. "Cloud Computing, Big Data, and Blockchain Technology Adoption in ERP Implementation Methodology," Sustainability, MDPI, vol. 14(7), pages 1-21, March.

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