How do firms use cloud computing to transform their organization? Evidence from a global survey

Ahmed Bounfour, Jean-Michel Etienne, Xiaolin Cheng and Alberto Nonnis

Digital Transformation and Society, 2022, vol. 1, issue 1, 29-47

Abstract: Purpose - The paper aims to address the organizational transformation of firms for value creation resulting from cloud computing (CC). Design/methodology/approach - With reference to the theory of organizational fit, we modeled organizational transformation as a function of five aspects of CC practice: functionality, data management, roles and competences of information technology services, control and organizational culture. The output variable was tested against a set of input variables defined with reference to the technology–organization–environment (TOE) and technology acceptance model (TAM). Based on a sample of 487 companies in seven countries in Europe, Asia, and the United States, the authors distinguished two groups of firms: transformational and hyper transformational. Findings - The results highlight the key factors that determine whether a firm falls into one of these two groups, and include perceived usefulness and perceived ease of use, complexity and compatibility of CC technology, and adequacy of resources. Top management support and government policy are found to only play a role for the transformational group while, surprisingly, vendor support had no impact for either group. Originality/value - This research contributes to the literature on the role of digital transformation in value creation and on digitization of firms and organizational design, notably by considering the contribution of CC to the organizational dimension. To the best of the authors’ knowledge, this is the first study to make the link between TOE and TAM models and organizational fit theory, thereby going beyond the general approach to adoption found in information system research.

Keywords: Cloud computing; Organizational fit; Technology–organization–environment (TOE); Value creation; Marginal effects; Probit model (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eme:dtspps:dts-05-2022-0014

DOI: 10.1108/DTS-05-2022-0014

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