Task‐technology fit for reverse logistics performance

Purpose – Information technology is a key enabler of logistics performance. Unfortunately, most logistics information systems are implemented with forward logistics processes in mind, with little, if any, consideration for the reverse channel. Informed by task‐technology fit theory, the authors aim to explore how use of complementary information technologies to support reverse logistics processes can lead to enhanced process performance. Design/methodology/approach – The authors use a survey method to gather data from logistics professionals who are positioned within various reverse logistics functions. Using reverse logistics processing effectiveness and reverse logistics cost effectiveness as dependent variables, the authors use multiple regression to examine the relationships between indicators of task‐technology fit and reverse logistics performance. Findings – The authors’ models explain 49 percent and 30 percent of the variance in reverse logistics cost effectiveness and processing effectiveness, respectively. Information technology use and reverse logistics technology innovativeness are shown to enhance levels of reverse logistics cost effectiveness; information system compatibility and reverse logistics technology innovativeness are shown to enhance levels of reverse logistics processing effectiveness. Research limitations/implications – Although limited by the sample frame, the authors’ findings remain consistent with task‐technology fit theory and suggest that employing information technologies that are designed to complement reverse logistics processes can lead to increased reverse logistics process performance. Practical implications – This study supports the notion that more attention should be given to reverse logistics processes. In order to achieve maximum return on investment, managers should consider allocating resources toward information technologies and systems that directly support reverse logistics. Originality/value – This research employs a theory that has seen little attention in the logistics literature to provide insight into how use of complementary information technology can enhance reverse logistics processes.