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Why end-users move to the cloud: a migration-theoretic analysis

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  • Anol Bhattacherjee
  • Sang Cheol Park

Abstract

This study presents and empirically validates a model of end-user migration from client-hosted computing to cloud computing. Synthesizing key findings from IT adoption and post-adoption research, switching research, and cloud computing studies, it builds an integrative framework of cloud migration using migration theory as a theoretical lens, and postulates interdependencies among these predictors. A longitudinal survey of Google Apps adoption among student subjects in South Korea validates our proposed model. This study contributes to our nascent body of knowledge on IT migration by drawing attention to this emerging phenomenon, demonstrating how migration research is different from IT adoption research, identifying salient factors that enable or hinder cloud migration, elaborating interdependencies between these different predictors, and bringing in migration theory as a referent theory to the information systems literature.

Suggested Citation

  • Anol Bhattacherjee & Sang Cheol Park, 2014. "Why end-users move to the cloud: a migration-theoretic analysis," European Journal of Information Systems, Taylor & Francis Journals, vol. 23(3), pages 357-372, May.
    • Handle: RePEc:taf:tjisxx:v:23:y:2014:i:3:p:357-372
    DOI: 10.1057/ejis.2013.1
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    Cited by:

    1. Taqwa Hariguna & Athapol Ruangkanjanases & Bakri Bin Madon & Khaled Mofawiz Alfawaz, 2023. "Assessing Determinants of Continuance Intention Toward Cryptocurrency Usage: Extending Expectation Confirmation Model With Technology Readiness," SAGE Open, , vol. 13(1), pages 21582440231, March.
    2. Ha, Jinkyung, 2024. "Examining the decision journey of platform refugee: Focusing on the case of Korean live-streaming industry," 24th ITS Biennial Conference, Seoul 2024. New bottles for new wine: digital transformation demands new policies and strategies 302475, International Telecommunications Society (ITS).
    3. Haiyun (Melody) Zou & Heshan Sun & Yulin Fang, 2023. "Satisfaction to Stay, Regret to Switch: Understanding Post-adoption Regret in Choosing Competing Technologies When Herding," Information Systems Research, INFORMS, vol. 34(4), pages 1455-1475, December.

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