Cloud computing ecosystem model: evaluation and role clusters

Sebastian Floerecke (), Franz Lehner () and Sebastian Schweikl ()
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Sebastian Floerecke: University of Passau
Franz Lehner: University of Passau
Sebastian Schweikl: University of Passau

Electronic Markets, 2021, vol. 31, issue 4, No 12, 923-943

Abstract: Abstract Several significantly different attempts have been undertaken to visualize the complex and opaque cloud computing ecosystem by a descriptive model. Recently, scholars have developed a new role-based cloud ecosystem model (Passau Cloud Computing Ecosystem Model (PaCE model)) based on a systematic analysis and synthesis of the previous models. However, its scientific evaluation is still outstanding. The main goal is therefore to conduct an evaluation regarding its structural equivalence and completeness compared to the real cloud business according to the design science research paradigm. The second goal is to demonstrate the model’s usefulness by using it as an instrument for the identification of role clusters, which are frequently covered by organizations. To this end, a cross-sectional analysis is conducted, in which 758 organizations are manually analysed and matched with the model’s current roles. As a result, roles have been newly added, removed, broken down into sub-roles, abstracted to a meta-role and renamed. The cluster analysis unveiled five role clusters. Whereas some roles were predominantly found as single role, further roles were exclusively or very frequently found in combination with others. Overall, the revised model creates, compared to the common rather technically orientated market overviews by market research institutes, a detailed categorization schema helping to understand and investigate the organizations belonging to the cloud ecosystem.

Keywords: Cloud computing; Business ecosystem; Cloud computing ecosystem; Ecosystem roles and role clusters; Model evaluation; Design science research (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s12525-020-00419-2

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