Unveiling the dimensions of digital transformation: A comprehensive taxonomy and assessment model for business

Ling-Jing Kao, Chih-Chou Chiu, Hung-Tse Lin, Yun-Wei Hung and Cheng-Chin Lu

Journal of Business Research, 2024, vol. 176, issue C

Abstract: Digital transformation (DT) is an adaptive strategy in the evolving tech and business landscape. It helps organizations enhance operations and customer experiences to remain competitive. However, defining digital transformation, creating a universal taxonomy, and developing a practical assessment model remain challenges. This study aims to establish a comprehensive DT taxonomy by deconstructing DT into various dimensions. The research goes a step further by developing sub-dimensions and indicators, offering essential tools for investigating an organization's DT status. The study emphasizes the importance of considering industry-specific approaches, with a focus on the retail sector as a practical case study. Our research employs a structured approach, including an extensive literature review, focus group interviews, and the utilization of the FAHP method and e-surveys to prioritize DT taxonomy dimensions. The study makes significant contributions, including providing a clear DT definition, bridging the gap between corporate and academic perspectives, and introducing a practical survey questionnaire for DT initiatives. We highlight the critical role of customer experience, DT training, and resource allocation, and introduce a conceptual model illustrating the dynamic relationship among organizational operations, DT technology, and process optimization. This model also proposed the moderating roles played by customer experience and resource allocation.

Keywords: Digital transformation; Assessment indicators; Focus group interview; Fuzzy analytic hierarchy process; E-survey (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jbrese:v:176:y:2024:i:c:s0148296324000997

DOI: 10.1016/j.jbusres.2024.114595

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