By Jan Huntgeburth
This booklet develops, evaluates and refines a cloud provider dating thought that explains how cloud clients’ uncertainties come up in those relationships and the way they are often mitigated. for that reason, the publication employs principal-agent idea and the thoughts of bounded rationality and social embeddedness. past advancing IS study, the findings offered can drastically gain governments, IT departments and IT prone, supporting them to raised comprehend cloud provider relationships and to regulate their cloud provider innovations accordingly.
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Extra resources for Developing and Evaluating a Cloud Service Relationship Theory
The cloud service relationship theory combines principal-agent, bounded rationality and social inﬂuence theory to explain cloud user behavior in cloud service relationships (abstract understanding depicted in Fig. 3). First, adverse selection and moral hazard were proposed to inﬂuence the cloud user’s utilization of the cloud service, while signals and incentives were assumed to be means for overcoming these agency problems. Second, challenging the assertion of principal-agent theory that all principal decide fully informed and rational, it was proposed that Fig.
Cloud users incorporate social peers’ opinions into their own evaluation of the cloud service (internalization) as well as observe important others’ behavior and incorporate this into their own evaluation of the service (identiﬁcation). Cloud users’ evaluation of agency problems is thus likely be shaped by social inﬂuence processes of internalization and identiﬁcation. Therefore, it is formally proposed: Proposition 4 Social inﬂuence mechanisms (internalization and identiﬁcation) mitigate agency problems in cloud service relationships.
Goal conﬂict, fears of opportunism, information asymmetry, cf. Jensen and 22 2 A Research Framework for Theorizing Fig. 4 “Making an assumption”: trust in cloud (Walterbusch et al. 2013) Meckling 1976) have to be incorporated when studying user-related issues of cloud computing. Therefore, several studies focus on relational aspects between provider and user (cf. example in Fig. 4). As the special characteristics of cloud services are made exogenous in research models, the “Making an Assumption” heuristic has the potential to advance theorizing about emerging IT innovation and produce scientiﬁc progress.
Developing and Evaluating a Cloud Service Relationship Theory by Jan Huntgeburth