A hierarchical taxonomy of technology, task and individual adaptation behaviors in information systems research

Purpose Technology adaptation, in which users adjust technology features to accomplish work tasks, is a key factor influencing technology use and human-computer interaction (HCI). Despite the growing body of research on technology adaptation in the information systems (IS) field, the research remains fragmented and often focuses on limited aspects of adaptation behaviors. This study develops a hierarchical taxonomy to provide an integrated and structured understanding of technology, task, and individual adaptation behaviors in IS research. Design/methodology/approach Through a systematic review and synthesis of prior IS research, we classify adaptation behaviors according to the focus of adaptation (technology, task, and individual) and the mode of adaptation (exploitative and exploratory). Findings The analysis reveals a strong emphasis on exploitative task adaptation in prior research, while exploratory task adaptation and individual adaptation remain underexamined. The taxonomy also highlights emerging research needs related to AI-driven technologies, where adaptation is dynamic and shapes work processes and performance. Originality/value By integrating fragmented research streams into a unified hierarchical framework and introducing individual adaptation as a distinct dimension, this study advances theoretical clarity and provides a foundation for future research on technology adaptation in evolving digital and AI-enabled environments.