A Novel Psychological Decision-Making Approach for Healthcare Digital Transformation Benchmarking in ASEAN
Source abstract
Abstract
In recent years, digital transformation is seen as a mandatory and urgent requirement in the process of modernizing countries. The effectiveness of the digital transformation process in the field of public management directly affects the social life and operations of businesses. This study aims to paint an overall picture of the healthcare digital transformation of a rapidly growing region, the Association of Southeast Asian Nations (ASEAN), through a bounded rational multi-criteria assessment method. The novel proposed method is developed in light of the psychological behavior theories and the strengths of multi-criteria decision-making methods, which are based on distance computation and statistical parameters. Therefore, it can not only determine the weight of the criteria objectively through distance correlations, but also deeply describe the subjective psychology of the decision maker. In addition to theoretical contributions with a novel approach, the findings in the benchmarking process reveal important indicators and practical lessons from the digital transformation successes in ASEAN.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Economic and Technological Systems Analysis · Impact of AI and Big Data on Business and Society · Forecasting Techniques and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung 807778, Taiwan
College of Technology and Design, University of Economics Ho Chi Minh City—UEH University, Ho Chi Minh City 700000, Vietnam
Funding
University of Economics Ho Chi Minh City, Vietnam
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