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

첫 페이지 보기
  • 발행기관
    한국경영정보학회 바로가기
  • 간행물
    Asia Pacific Journal of Information Systems KCI 등재 바로가기
  • 통권
    제25권 제2호 (2015.06)바로가기
  • 페이지
    pp.265-288
  • 저자
    Sung Bum Park, Sangwon Lee, Seong Wook Chae, Hangjung Zo
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A247365

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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

키워드

Software as a Service Technology Maturity Task-Technology Fit Model IS Continuance Theory Partial Least Square (PLS)

저자

  • 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 ] Corresponding Author
  • 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 ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    한국경영정보학회 [The Korea Society of Management information Systems]
  • 설립연도
    1989
  • 분야
    사회과학>경영학
  • 소개
    이 학회는 경영정보학의 연구 및 교류를 촉진하고 학문의 발전과 응용에 공헌함을 목적으로 합니다.

간행물

  • 간행물명
    Asia Pacific Journal of Information Systems
  • 간기
    계간
  • pISSN
    2288-5404
  • eISSN
    2288-6818
  • 수록기간
    1990~2026
  • 등재여부
    KCI 등재,SCOPUS
  • 십진분류
    KDC 325 DDC 658

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