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An Empirical Study of the Factors Influencing the Task Performances of SaaS Users

원문정보

초록

영어

IT convergence services, as the main stream of the digital age, are currently on their way to include the concept of Software as a Service (SaaS), where IT products and services are integrated as one. In particular, the recently introduced web-service-based SaaS is expected to be a more developed SaaS model. This new model provides greater influence on clients’ job performances than its previous models, such as application service providers and the web-native phase. However, the effects of technology maturity on task performance have been overlooked in adoption and performance studies. Accordingly, this study introduces SaaS technology maturity as the exogenous technological characteristic influencing job performance. This study also examines the relationships among various SaaS-related performances according to the different levels of SaaS maturity. Results suggest that applying innovative technologies (such as SaaS), particularly when the technology reaches a certain level of maturity, is more helpful for managers in improving task-technology fit and job performance. This study makes an academic contribution by establishing and validating a performance model empirically with SaaS technology maturity perspectives.

목차

ABSTRACT
 Ⅰ. Introduction
 Ⅱ. Theoretical Foundation
  2.1 Software as a Service (SaaS)
  2.2 SaaS Technology Maturity
  2.3 Complementarities of the Task-Technology Fit and the IS Continuance Model
 Ⅲ. Research Hypothesis
 Ⅳ. Research Method
  4.1. Pretest and Main Survey
  4.2. Measurement Development
  4.3. Analysis Method
 Ⅴ. Results
  5.1. Scale Validation
  5.2. Hypothesis Testing
 Ⅵ. Discussion
 Ⅶ. Conclusion
 
  Convergent and Discriminant Validity Test Result

저자정보

  • Sung Bum Park Executive Principal Researcher, Big Data Strategy Center, National Information Society Agency, Korea
  • Sangwon Lee Assistant Professor, Division of Information and Electronic Commerce, Wonkwang University, Korea
  • Seong Wook Chae Assistant Professor, Department of Business Administration, Hoseo University, Korea
  • Hangjung Zo Associate Professor, Department of Business and Technology Management, Korea Advanced Institute of Science and Technology, Korea

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