ANALYSIS OF MOBILE COMMERCE PERFORMANCE BY USING THE TASK-TECHNOLOGY FIT

摘要

The rapid growth of investments in mobile commerce (M-commerce) to reach a large and growing body of customers, coupled with low communication costs, has made user acceptance an increasingly critical management issue. The study draws upon the task-technology fit (TTF) model as its theoretical basis and its empirical findings to pragmatically explain the key factors that affect the performance and user acceptance of M-commerce. A total of 110 usable responses were obtained. The findings indicate that the task, technology, and individual user characteristics positively affect task-technology fit and M-commerce usage. The task-technology fit and M-commerce usage are the dominant factors that affect M-commerce performance. The result points out the importance of the fit between technologies and users' tasks in achieving individual performance impact from M-commerce. This paper identifies pertinent issues and problems that are critical in the development of M-commerce.