Abstract

Recent advances in information technology along with new government regulation and the decentralization of work has lead to a phenomena called "Telecommuting" to surface across North America and Europe. This new way of working, which is about moving the work to the workers, promises to solve commuting problems in major cities and also promises to increase productivity and efficiency of workers. In this study, a hybrid model is developed and tested to help explain the intentions of current telecommuters. The model increases the level of understanding of the various factors that influence telecommuters' intentions. The proposed Behavioral Adjustment Model (BAM) is based on sound behavioral theories such as the Triandis model, Theory of Planned Behavior and The Technology Acceptance Model. This empirical study used a survey of 101 current telecommuters and Partial Least Squares analysis (PLS) to explain the intention of telecommuters. The BAM was successful in explaining 37% of the variance in intentions. Specifically, the findings showed that perceived consequences, social factors and facilitating conditions had significant positive effect on current telecommuter intentions.