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Analysis of Critical Factors in Manufacturing by Adopting a Cloud Computing Service

Hsin-Pin Fu1,*, Tsung-Sheng Chang2, Chien-Hung Liu3, Li-Chun Liu1

1 Department of Marketing and Distribution Management, National Kaohsiung University of Science and Technology, Kaohsiung (824), Taiwan
2 Department of Information Management, Da-Yeh University, Changhua (515), Taiwan
3 Graduate Institute of Management, National Kaohsiung University of Science and Technology, Kaohsiung (824), Taiwan

* Corresponding Author: Hsin-Pin Fu. Email: email

(This article belongs to this Special Issue: Recent Trends in Software Engineering and Applications)

Computer Systems Science and Engineering 2022, 42(1), 213-227.


The advantages of a cloud computing service are cost advantages, availability, scalability, flexibility, reduced time to market, and dynamic access to computing resources. Enterprises can improve the successful adoption rate of cloud computing services if they understand the critical factors. To find critical factors, this study first reviewed the literature and established a three-layer hierarchical factor table for adopting a cloud computing service based on the Technology-Organization-Environment framework. Then, a hybrid method that combines two multi-criteria decision-making tools—called the Fuzzy Analytic Network Process method and the concept of VlseKriterijumska Optimizacija I Kompromisno Resenje acceptable advantage—was used to objectively identify critical factors for the adoption of a cloud computing service, replacing the subjective decision of the authors. The results of this study determined five critical factors, namely data access security, information transmission security, senior management support, fallback cloud management, and employee acceptance. Finally, the paper presents the findings and implications of the study.


Cite This Article

H. Fu, T. Chang, C. Liu and L. Liu, "Analysis of critical factors in manufacturing by adopting a cloud computing service," Computer Systems Science and Engineering, vol. 42, no.1, pp. 213–227, 2022.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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