MAPPING SMES’ INTENTION TO ADOPT INFORMATION SYSTEM TECHNOLOGY: THEORIES, DETERMINANTS AND INTEGRATED FRAMEWORKS

Abstract

Information System (IS) technology can enhance operational efficiency, strategic decision making, and competitiveness among Small and Medium Enterprises (SME). However, studies on the theoretical landscape and key determinants of SMEs’ intention to adopt remain fragmented and under-researched. The objectives of this study is to examine the core theoretical frameworks commonly used and to identify key determinants across different contexts and technology. This narrative review uses a qualitative and quantitative approach where it leverages  Scopus and Google Scholar databases to retrieve relevant articles to be analyzed.  Grounded on studies exploring information system technology, such as artificial intelligence (AI), blockchain technology, building information modelling (BIM), and digitalization, organization of theoretical models including the Technology Organization Environment (TOE) framework, Technology Acceptance Model (TAM), Theory of Planned Behavior (TPB), and other theories are presented. Interesting findings discovered that, in addition to common determinants, such as technology considerations, organizational context, environmental factors, and psychological aspects, play a significant role in the decision-making process to adopt a technology. Through the synthesis process, this narrative review stresses the multi-theoretical attempts, which allows for better understanding and guidance for SMEs on their intention to adopt information system technology.