Start Date
16-8-2018 12:00 AM
Description
Literature reviews (LRs) are paramount to researchers who seek to gain knowledge about previous contributions to a particular topic of interest. Cloud computing (CC) LRs have documented conceptual and empirical research efforts done by scholars from various disciplines, and contributed to the knowledge base on CC. The knowledge generated by previous LRs on CC is fragmented. It is not clear what types of contributions made to the body of knowledge. There has been no evaluation of the contributions of LRs in the area of CC. We address this void by analyzing 84 LRs on CC and identifying the topics they have addressed. Further, we identify the types of knowledge contributions they have created, in terms of synthesis, adopting a new perspective, theory building, and theory testing, identifying research gaps, and provisioning a research agenda. We conclude the paper with a summary of its contributions and suggestions for future LRs.
Recommended Citation
Fahim El-Gazzar, Rania; Wahid, Fathul; and Stendal, Karen, "Unpacking Knowledge on Cloud Computing: An Umbrella Review" (2018). AMCIS 2018 Proceedings. 4.
https://aisel.aisnet.org/amcis2018/MetaResearch/Presentations/4
Unpacking Knowledge on Cloud Computing: An Umbrella Review
Literature reviews (LRs) are paramount to researchers who seek to gain knowledge about previous contributions to a particular topic of interest. Cloud computing (CC) LRs have documented conceptual and empirical research efforts done by scholars from various disciplines, and contributed to the knowledge base on CC. The knowledge generated by previous LRs on CC is fragmented. It is not clear what types of contributions made to the body of knowledge. There has been no evaluation of the contributions of LRs in the area of CC. We address this void by analyzing 84 LRs on CC and identifying the topics they have addressed. Further, we identify the types of knowledge contributions they have created, in terms of synthesis, adopting a new perspective, theory building, and theory testing, identifying research gaps, and provisioning a research agenda. We conclude the paper with a summary of its contributions and suggestions for future LRs.