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Firms’ continuance intention on SaaS use – an empirical study

Ricardo Martins (NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Campus de Campolide, Lisboa, Portugal)
Tiago Oliveira (NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Campus de Campolide, Lisboa, Portugal)
Manoj Thomas (Department of Information Systems, School of Business, Virginia Commonwealth University, Richmond, Virginia, USA)
Sara Tomás (NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Campus de Campolide, Lisboa, Portugal)

Information Technology & People

ISSN: 0959-3845

Article publication date: 8 January 2019

Issue publication date: 30 January 2019

1692

Abstract

Purpose

Although studies have investigated reasons for software as a service (SaaS) adoption, it is unclear how firm-level SaaS use impacts future SaaS intentions. The purpose of this paper is to propose a theoretical model that integrates the technology-organization-environment framework, institutional theory, diffusion-of-innovation theory and the opportunity-risk framework to analyze the drivers of SaaS use and its continuance intention.

Design/methodology/approach

The authors evaluated the direct, moderating and mediating effects of determinants on SaaS continuance intentions using structural equation modeling and data from 301 firms.

Findings

Results found that top management support and normative pressures influenced SaaS use. Cost saving and security concerns were direct predictors of perceived opportunities and perceived risks, respectively. Perceived opportunities and risks and actual SaaS use influenced SaaS continuance. Interestingly, perceived opportunities were found to be a negative moderator on the relationship between SaaS use and SaaS continuance.

Originality/value

The results reveal insightful and controversial findings for SaaS research.

Keywords

Citation

Martins, R., Oliveira, T., Thomas, M. and Tomás, S. (2019), "Firms’ continuance intention on SaaS use – an empirical study", Information Technology & People, Vol. 32 No. 1, pp. 189-216. https://doi.org/10.1108/ITP-01-2018-0027

Publisher

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Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

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