Should We Stay, or Should We Go? Analyzing Continuance of Cloud Enterprise Systems

Sebastian Walther, Darshana Dewapriya Sedera, Nils Urbach, Torsten Eymann, Boris Otto, Saonee Sarker

    Research output: Contribution to journalReview ArticleResearchpeer-review

    Abstract

    As cloud computing has become a mature technology broadly being adopted by companies across all industries, cloud service providers are increasingly turning their attention to retaining their customers. However, only little research has been conducted on investigating the antecedents of service continuance in an organizational context. To address this gap in research, we carried out a quantitative-empirical study. We developed a conceptual model that builds on previous research on organizational level continuance. We tested this model, using survey data gathered from decision makers of companies which have adopted cloud enterprise systems. The data was analyzed using PLS. The results show that continuance intention can be predicted both by socio-organizational and technology-related factors, explaining 55.9% of the dependent variable’s variance. Besides cloud-specific findings, the study also enhances knowledge in organizational level system continuance as well as its connection to IS success.
    Original languageEnglish
    Number of pages30
    JournalJournal of Information Technology Theory and Application (JITTA)
    Publication statusPublished - 2017

    Cite this

    Walther, Sebastian ; Sedera, Darshana Dewapriya ; Urbach, Nils ; Eymann, Torsten ; Otto, Boris ; Sarker, Saonee. / Should We Stay, or Should We Go? Analyzing Continuance of Cloud Enterprise Systems. In: Journal of Information Technology Theory and Application (JITTA). 2017.
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    abstract = "As cloud computing has become a mature technology broadly being adopted by companies across all industries, cloud service providers are increasingly turning their attention to retaining their customers. However, only little research has been conducted on investigating the antecedents of service continuance in an organizational context. To address this gap in research, we carried out a quantitative-empirical study. We developed a conceptual model that builds on previous research on organizational level continuance. We tested this model, using survey data gathered from decision makers of companies which have adopted cloud enterprise systems. The data was analyzed using PLS. The results show that continuance intention can be predicted both by socio-organizational and technology-related factors, explaining 55.9{\%} of the dependent variable’s variance. Besides cloud-specific findings, the study also enhances knowledge in organizational level system continuance as well as its connection to IS success.",
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    Should We Stay, or Should We Go? Analyzing Continuance of Cloud Enterprise Systems. / Walther, Sebastian; Sedera, Darshana Dewapriya; Urbach, Nils; Eymann, Torsten; Otto, Boris; Sarker, Saonee.

    In: Journal of Information Technology Theory and Application (JITTA), 2017.

    Research output: Contribution to journalReview ArticleResearchpeer-review

    TY - JOUR

    T1 - Should We Stay, or Should We Go? Analyzing Continuance of Cloud Enterprise Systems

    AU - Walther, Sebastian

    AU - Sedera, Darshana Dewapriya

    AU - Urbach, Nils

    AU - Eymann, Torsten

    AU - Otto, Boris

    AU - Sarker, Saonee

    PY - 2017

    Y1 - 2017

    N2 - As cloud computing has become a mature technology broadly being adopted by companies across all industries, cloud service providers are increasingly turning their attention to retaining their customers. However, only little research has been conducted on investigating the antecedents of service continuance in an organizational context. To address this gap in research, we carried out a quantitative-empirical study. We developed a conceptual model that builds on previous research on organizational level continuance. We tested this model, using survey data gathered from decision makers of companies which have adopted cloud enterprise systems. The data was analyzed using PLS. The results show that continuance intention can be predicted both by socio-organizational and technology-related factors, explaining 55.9% of the dependent variable’s variance. Besides cloud-specific findings, the study also enhances knowledge in organizational level system continuance as well as its connection to IS success.

    AB - As cloud computing has become a mature technology broadly being adopted by companies across all industries, cloud service providers are increasingly turning their attention to retaining their customers. However, only little research has been conducted on investigating the antecedents of service continuance in an organizational context. To address this gap in research, we carried out a quantitative-empirical study. We developed a conceptual model that builds on previous research on organizational level continuance. We tested this model, using survey data gathered from decision makers of companies which have adopted cloud enterprise systems. The data was analyzed using PLS. The results show that continuance intention can be predicted both by socio-organizational and technology-related factors, explaining 55.9% of the dependent variable’s variance. Besides cloud-specific findings, the study also enhances knowledge in organizational level system continuance as well as its connection to IS success.

    M3 - Review Article

    JO - Journal of Information Technology Theory and Application (JITTA)

    JF - Journal of Information Technology Theory and Application (JITTA)

    SN - 1532-4516

    ER -