This research aims to study intentions to switch toward cloud computing at firms' level. As a new way to deploy information technologies (IT) within firms, switching toward cloud computing remains a hard decision that depends on several contextual factors. While several studies have focused mainly on technological aspects, this research adopts a multidimensional perspective by combining the Technology-Organization-Environment (TOE) framework with a two-factor theory perspective. Doing so, the authors attempt to propose a research model that can be useful to deeply understand how firms perform when thinking about switching toward cloud-based solutions. A multiple-case study within five Tunisian firms has been conducted to contextualize the research model and give it more explanation power. The Tunisian context should be interesting, as cloud computing adoption is a new topic that is not sufficiently studied in developing countries, particularly in those characterized by an economy in transition. Data have been collected by semi-structured interviews and coded using the Nvivo software. The analysis of interviews content shows that the expected switching benefits and risks play a mediating role between TOE factors and intentions to switch toward cloud computing. Indeed, the authors found some different results within cases revealing the dual effects of technology, organization, and environment factors on intentions by generating different expected switching benefits and risks. In light of these results, some recommendations are proposed to decision makers in this area.
This research aims to study intentions to switch toward cloud computing at firms' level. As a new way to deploy information technologies (IT) within firms, switching toward cloud computing remains a hard decision that depends on several contextual factors. While several studies have focused mainly on technological aspects, this research adopts a multidimensional perspective by combining the Technology-Organization-Environment (TOE) framework with a two-factor theory perspective. Doing so, the authors attempt to propose a research model that can be useful to deeply understand how firms perform when thinking about switching toward cloud-based solutions. A multiple-case study within five Tunisian firms has been conducted to contextualize the research model and give it more explanation power. The Tunisian context should be interesting, as cloud computing adoption is a new topic that is not sufficiently studied in developing countries, particularly in those characterized by an economy in transition. Data have been collected by semi-structured interviews and coded using the Nvivo software. The analysis of interviews content shows that the expected switching benefits and risks play a mediating role between TOE factors and intentions to switch toward cloud computing. Indeed, the authors found some different results within cases revealing the dual effects of technology, organization, and environment factors on intentions by generating different expected switching benefits and risks. In light of these results, some recommendations are proposed to decision makers in this area.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.