A Comparison of Competing Models for Understanding Industrial Organization’s Acceptance of Cloud Services

Shui-Lien Chen, June-Hong Chen and Yung Hsin Lee
Additional contact information
Shui-Lien Chen: Department of Management Sciences, Tamkang University, New Taipei City 25137, Taiwan
June-Hong Chen: Department of Management Sciences, Tamkang University, New Taipei City 25137, Taiwan
Yung Hsin Lee: Department of Banking and Finance, CTBC Business School, Tainan 709, Taiwan

Sustainability, 2018, vol. 10, issue 3, 1-20

Abstract: Cloud computing is the next generation in computing, and the next natural step in the evolution of on-demand information technology services and products. However, only a few studies have addressed the adoption of cloud computing from an organizational perspective, which have not proven whether the research model is the best-fitting model. The purpose of this paper is to construct research competing models (RCMs) and determine the best-fitting model for understanding industrial organization’s acceptance of cloud services. This research integrated the technology acceptance model and the principle of model parsimony to develop four cloud service adoption RCMs with enterprise usage intention being used as a proxy for actual behavior, and then compared the RCMs using structural equation modeling (SEM). Data derived from a questionnaire-based survey of 227 firms in Taiwan were tested against the relationships through SEM. Based on the empirical study, the results indicated that, although all four RCMs had a high goodness of fit, in both nested and non-nested structure comparisons, research competing model A (Model A) demonstrated superior performance and was the best-fitting model. This study introduced a model development strategy that can most accurately explain and predict the behavioral intention of organizations to adopt cloud services.

Keywords: cloud services; technology acceptance theory; competing model; model development strategy; structural equation modeling (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://www.mdpi.com/2071-1050/10/3/673/pdf (application/pdf)
https://www.mdpi.com/2071-1050/10/3/673/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:10:y:2018:i:3:p:673-:d:134277

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().