Cloud computing adoption decision-making process
A sensemaking analysis
Bibliographic Data
| ID | 21596069 |
|---|---|
| Authors | Ariana Polyviou (0000-0002-9808-5422, University of Nicosia), Nancy Pouloudi (0000-0002-4774-3499, Athens University of Economics and Business), Will Venters (0000-0001-8329-729X, London School of Economics and Political Science) |
| Year | 2024 |
| Volume | 37 |
| Issue | 6 |
| Pages | 2153-2182 |
| Publication date | 2024-09-03 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Information Technology and People (JOURNAL) |
| Journal identifiers | ISSN: 0959-3845 • E-ISSN: 1758-5813 |
| Publisher | Emerald (PUBLISHER) |
| DOI | 10.1108/itp-02-2022-0139 |
| OpenAlex | W4386477332 |
| Language | EN |
| Citations received | 2 |
| References cited | 50 |
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
Business · Cloud computing · Data science · Decision-making · Knowledge management · Management science · Process management · Sensemaking · Big Data and Business Intelligence · Computer Science · Engineering · Information Technology Governance and Strategy · Technology Adoption and User Behaviour · Marketing
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| Citations per year | 2 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |