Vol. 28 No.3 -06

Volume 28 Number 3, 2023

Exploring the Role of Multiple Criteria Decision-Making in Enterprise Digital Transformation

Huai-Wei Loa*, Zhu Siaob
a* Department of Industrial Engineering and Management, National Yunlin University of Science and Technology
b Department of Business Administration, Chaoyang University of Technology


Global enterprises have accelerated their digital transformation due to the impact of the COVID-19 pandemic, especially those aspects related to the promotion of digital products, development of digital services, enhancement of data analytics, and wider artificial intelligence applications. Enterprises need to actively respond to these changes to maintain competitiveness. The multiple criteria decision-making (MCDM) process plays an important role in driving digital transformation for enterprises, which typically involves decision-making across many different dimensions and often requires consideration of multiple criteria. In this study, several experts involved in the relevant issues were interviewed. After brainstorming, they proposed several MCDM projects in response to digital transformation. The Bayesian best-worst method was applied to measure the relative importance and rank these projects. The analysis results suggest that "technology selection" and "evaluation of market competitiveness" are the two most important projects for promoting digital transformation for companies.


JEL Classification: M14, M15, O33


Keywords: multiple criteria decision-making, digital transformation, Bayesian best-worst method



Cite this article: 

Lo, H.-W., Siao, Z., 2023, Exploring the Role of Multiple Criteria Decision-Making in Enterprise Digital Transformation, International Journal of Business, 28(3), 006. https://doi.org/10.55802/IJB.028(3).006


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