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Drivers of Cloud-Native Switch : An Empirical Study Based on the Push–Pull–Mooring Framework

원문정보

초록

영어
Cloud-native technology has recently gained significant attention as an enterprise application capable of overcoming the limitations of traditional on-premise systems and delivering greater value. By leveraging cloud-based infrastructure, organizations can achieve scalability, flexibility, and cost efficiency, while providing users with faster and more reliable service experiences. In line with this trend, the study seeks to investigate the drivers of organizational behavior in switching to cloud-native systems. This study derives relevant factors from prior research and constructs a conceptual framework grounded in the PPM theory. After collecting 292 valid responses, empirical analysis was performed via AMOS 29.0. The results reveal that, with the exception of increased error potential, all variables were found to significantly affect the decision to migrate to cloud-native computing environments. Furthermore, consulting service quality was found to moderate the linkage connecting push and pull elements with the intention to switch to cloud-native systems. The results highlight the pivotal importance of consulting expertise in enabling effective migration processes and provide meaningful insights into the underlying drivers of cloud-native switching.

목차

ABSTRACT
Ⅰ. Introduction
Ⅱ. Theoretical Background
2.1. Monolithic On-premise Systems
2.2. Cloud Computing and Cloud Native
2.3. Push-Pull-Mooring Model
2.4. Consulting Service Quality
Ⅲ. Research Model and Hypotheses
Ⅳ. Analysis of Empirical Analysis
4.1. Demographic Characteristics of Samples
4.2. Analysis of Measurement Model
4.3. Analysis of Structural Model
4.4. Analysis of Moderation Effect
Ⅵ. Discussion and Implications
6.1. Discussion of Findings
6.2. Theoretical Implications
6.3. Practical Implications
6.4. Limitations and Future Research Directions

저자

  • Jaehyuk Yi [ Research Fellow, National Information Society Agency, Korea ]
  • Sanghyun Kim [ Professor, School of Business Administration, Kyungpook National University, Korea ] Corresponding Author
  • Hyunsun Park [ Contract Professor, School of Business Administration, Kyungpook National University, Korea ]

참고문헌

자료제공 : 네이버학술정보

    간행물 정보

    • 간행물
      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