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

  • National Information Society Agency, Korea
  • Kyungpook National University

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)1008-1034
Number of pages27
JournalAsia Pacific Journal of Information Systems
Volume35
Issue number4
DOIs
StatePublished - Dec 2025

Keywords

  • Cloud-Native
  • Consulting Service Quality
  • Push-Pull-Mooring framework
  • Switching Intention

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