JOURNAL ARTICLE

Developing a Cloud-Computing Adoption Framework

Hemlata GangwarHema DateR. Ramaswamy

Year: 2015 Journal:   Global Business Review Vol: 16 (4)Pages: 632-651   Publisher: SAGE Publishing

Abstract

This article aims to propose an extended technology acceptance model–technical–organization– environment (TAM–TOE) framework and to develop its measures for cloud-computing adoption in organizations. Information technology adoption literature based on the TAM model and the TOE framework was reviewed to identify a set of variables relevant to cloud computing adoption. A conceptual framework was developed to integrate the TAM model and the TOE framework. Further, cloud-specific variables (security and third-party control) were also incorporated in the framework. This extended TAM–TOE framework was qualitatively analyzed using an interview method which resulted in 12 of the variables relevant to cloud-computing adoption. Further, a questionnaire was designed, pre-tested and surveyed to develop reliable measures of cloud-computing adoption. It resulted in conceptualizing an extended TAM–TOE framework for cloud-computing adoption and in developing its reliable measures. This study has a smaller sample size and is limited to cloud-computing adoption. On the other hand, it contributes towards the cloud-computing adoption literature. Managers can use measures identified to analyze their suitability for implementing cloud computing in their organizations. This article has a strong contribution in integrating the TAM model and the TOE framework, and developing measures for cloud-computing adoption.

Keywords:
Cloud computing Technology acceptance model Computer science Conceptual framework Knowledge management Cloud computing security Sample (material) Structural equation modeling Conceptual model Process management Business Usability Database Human–computer interaction

Metrics

60
Cited By
8.07
FWCI (Field Weighted Citation Impact)
87
Refs
0.97
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Technology Adoption and User Behaviour
Social Sciences →  Decision Sciences →  Information Systems and Management
Information Technology Governance and Strategy
Social Sciences →  Business, Management and Accounting →  Management Information Systems
Big Data and Business Intelligence
Social Sciences →  Business, Management and Accounting →  Management Information Systems

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