Asia Pacific Journal of Information Systems (APJIS)

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Current Issue

Date	December 2025
Vol. No.	Vol. 35 No. 4
DOI	https://doi.org/10.14329/apjis.2025.35.4.1008
Page	1008~1034
Title	Drivers of Cloud-Native Switch: An Empirical Study Based on the Push–Pull–Mooring Framework
Author	Jaehyuk Yi, Sanghyun Kim, Hyunsun Park
Keyword	Cloud-Native, Push-Pull-Mooring framework, Consulting Service Quality, Switching Intention
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.

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