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Cloud computing adoption decision making process: a sensemaking analysis

Polyviou, Ariana, Pouloudi, Nancy and Venters, Will ORCID: 0000-0001-8329-729X (2023) Cloud computing adoption decision making process: a sensemaking analysis. Information Technology and People. ISSN 0950-3845

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Identification Number: 10.1108/ITP-02-2022-0139

Abstract

Purpose: The authors study how cloud adoption decision making unfolds in organizations and present the dynamic process leading to a decision to adopt or reject cloud computing. The authors thus complement earlier literature on factors that influence cloud adoption. Design/methodology/approach: The authors adopt an interpretive epistemology to understand the process of cloud adoption decision making. Following an empirical investigation drawing on interviews with senior managers who led the cloud adoption decision making in organizations from across Europe. The authors outline a framework that shows how cloud adoptions follow multiple cycles in three broad phases. Findings: The study findings demonstrate that cloud adoption decision making is a recursive process of learning about cloud through three broad phases: building perception about cloud possibilities, contextualizing cloud possibilities in terms of current computing resources and exposing the cloud proposition to others involved in making the decision. Building on these findings, the authors construct a framework of this process which can inform practitioners in making decisions on cloud adoption. Originality/value: This work contributes to authors understanding of how cloud adoption decisions unfold and provides a framework for cloud adoption decisions that has theoretical and practical value. The study further demonstrates the role of the decision-leader, typically the CIO, in this process and identifies how other internal and external stakeholders are involved. It sheds light on the relevance of the phases of the cloud adoption decision-making process to different cloud adoption factors identified in the extant literature.

Item Type: Article
Official URL: https://www.emerald.com/insight/publication/issn/0...
Additional Information: © 2023 Emerald
Divisions: Management
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Date Deposited: 26 Jun 2023 13:39
Last Modified: 16 Jun 2024 17:09
URI: http://eprints.lse.ac.uk/id/eprint/119487

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