Fuzzy Set Qualitative Comparative Analysis as a Tool for Indivudual and Organizational Decision Support in Technology Adoption: Revealing the Potential

Abstract

As the digital economy and society rapidly grow, individual and organizational adaptation to technology has gained substantial concern across various sectors. However, this process involves many challenges, including uncertainty and complexity arising from factors such as the reliability, feasibility, and compatibility of technologies. Based on evidence from existing literature, this study proposes applying the fuzzy set qualitative comparative analysis (fsQCA) approach as a valuable tool in investigating associated challenges and complex configurations of influential factors within the context of individual and organizational technology decision-making in technology adoption. The fsQCA has emerged as a popular tool in qualitative analysis, particularly in recent years, where its use has grown substantially. This paper conducts a systematic literature review of journal articles published between 2015 and 2023 using fsQCA, focusing on digital transformation, AI, IoT, e- and m-commerce applications, digital assistants, business analytics, sustainable development, and machine learning. This study offers a detailed review of related research, the implications of the identified trends, and the potential for future research utilizing fsQCA to explore performance and human behavior in technology adoption and organizational technology decision-making contexts.