초록
영어
In this paper, we study the relationships among task-technology fit (TTF), performance, and information system (IS) continuance in the different levels of Software-as-a-service (SaaS) maturity. Two-hundred-and-seven survey responses from Korea were analyzed using partial least square. The results indicate that the more a user evaluates TTF, a user gets higher performance. The results also show that performance factors significantly influence SaaS continuance intention, which is moderated by SaaS maturity. This is important because research on IS use and performance primarily examine technologies that are novel or may not be fully mature at the time of implementation. Technology maturity warrants should be investigated in future studies.
목차
Abstract
1. Introduction
2. Theoretical Background
2.1 Software-as-a-service (SaaS) technology maturity
2.2 TTF and IS continuance
3. Research Model and Hypotheses Development
3.1 Research model
3.2 Hypotheses
4. Research Method
4.1 Survey and data
4.2 Measures
4.3 Analysis method
5. Results
5.1 Measurement model
5.2 Structural model
6. Discussion
6.1 Key findings
6.2 Implications
7. Conclusions
7.1. Contributions
7.2 Limitations and future research
Appendix. Survey items
REFERENCES
1. Introduction
2. Theoretical Background
2.1 Software-as-a-service (SaaS) technology maturity
2.2 TTF and IS continuance
3. Research Model and Hypotheses Development
3.1 Research model
3.2 Hypotheses
4. Research Method
4.1 Survey and data
4.2 Measures
4.3 Analysis method
5. Results
5.1 Measurement model
5.2 Structural model
6. Discussion
6.1 Key findings
6.2 Implications
7. Conclusions
7.1. Contributions
7.2 Limitations and future research
Appendix. Survey items
REFERENCES
키워드
저자정보
참고문헌
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