Understanding cloud ERP continuance intention and individual performance: a TTF-driven perspective

• Published in: Benchmarking : an international journal Vol. 27; no. 4; pp. 1591 - 1614
• Main Author: Cheng, Yung-Ming
• Format: Journal Article
• Language: English
• Published: Bradford Emerald Publishing Limited 29.04.2020; Emerald Group Publishing Limited
• Subjects: Access to information; Cloud computing; Empirical analysis; End users; Enterprise resource planning; Hypotheses; Information technology; Multivariate statistical analysis; Organizational aspects; Perceptions; Questionnaires; Software services; Success; Technology Acceptance Model; Technology utilization; Individual performance; Technology acceptance model; Task-technology fit model; Continuance intention; Expectation-confirmation model; Cloud enterprise resource planning
• ISSN: 1463-5771; 1758-4094
• DOI: 10.1108/BIJ-05-2019-0208

PurposeThis study's purpose is to propose a hybrid model based on expectation-confirmation model (ECM) and technology acceptance model (TAM) to examine whether organizational users' perceived task-technology fit (TTF) in cloud enterprise resource planning (ERP) as an antecedent to user beliefs can directly and indirectly affect their continuance intention of cloud ERP and individual performance.Design/methodology/approachSample data for this study were collected from end users of cloud ERP working in companies in Taiwan. A total of 500 questionnaires were distributed in the 50 sample companies, and 355 (71.0%) usable questionnaires were analyzed using structural equation modeling in this study.FindingsThis study showed that organizational users' perceived TTF contributed positively to their perceived usefulness, confirmation and perceived ease of use of cloud ERP, which in turn directly and indirectly led to their satisfaction with cloud ERP, continuance intention of cloud ERP and individual performance; that is, this study's findings strongly supported the research model integrating ECM, TAM and TTF model with all hypothesized links being significant.Originality/valueThis study contributes to an understanding of the TTF model in explaining organizational users' cloud ERP continuance intention that is difficult to explain with only their utilitarian perceptions of cloud ERP. Further, it is especially worth mentioning that this study places considerably more emphasis upon organizational users' individual performance greatly driven by their perceived TTF in cloud ERP and continuance intention of cloud ERP. Thus, this study's empirical evidence on incorporating ECM, TAM and TTF model can significantly enhance better understanding of the outcomes for cloud ERP continuance intention and shed light on the possible formulation of a richer post-adoption model.