Factors Affecting the Adoption of Cloud for Software Development: A Case from Turkey

Erhan Pisirir, Oumout Chouseinoglou (), Cüneyt Sevgi () and Erkan Uçar ()
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Erhan Pisirir: School of Electronic Engineering and Computer Science, Queen Mary University of London, 67-75 New Road, DERI Building, E1 1HH London, UK
Oumout Chouseinoglou: Department of Information Systems and Technologies, Bilkent University, East Campus C Building, TR-06800 Ankara, Turkey
Cüneyt Sevgi: Department of Information Systems and Technologies, Bilkent University, East Campus C Building, TR-06800 Ankara, Turkey
Erkan Uçar: Department of Information Systems and Technologies, Bilkent University, East Campus C Building, TR-06800 Ankara, Turkey

International Journal of Information Technology & Decision Making (IJITDM), 2025, vol. 24, issue 04, 997-1033

Abstract: Cloud-based solutions for software development activities have been emerging in the last decade. This study aims to develop a hybrid technology adoption model for cloud use in software development activities. It is based on Technology Acceptance Model (TAM), Technology–Organization–Environment (TOE) framework, and the proposed extension Personal–Organization–Project (POP) structure. The methodology selected is a questionnaire-based survey and data are collected through personally administered questionnaire sessions with developers and managers, resulting in 268 responses regarding 84 software development projects from 30 organizations in Turkey, selected by considering company and project sizes and geographical proximity to allow face-to-face response collection. Structural Equation Modeling (SEM) is used for statistical evaluation and hypothesis testing. The final model was reached upon modifications and it was found to explain the intention to adopt and use the cloud for software development meaningfully. To the best of our knowledge, this is the first study to identify and understand factors that affect the intention of developing software on the cloud. The developed hybrid model was validated to be used in further technology adoption studies. Upon modifying the conceptual model and discovering new relations, a novel model is proposed to draw the relationships between the identified factors and the actual use, intention to use and perceived suitability. Practical and social implications are drawn from the results to help organizations and individuals make decisions on cloud adoption for software development.

Keywords: Technology acceptance; cloud computing; TAM; TOE; hybrid acceptance model; project management; software engineering (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1142/S0219622023500517

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