Analysis of Mobile Commerce Performance by Using the Task-Technology Fit

Kun Chang Lee · Sangjae Lee · Jin Sung Kim

34 citations0/0 files storedKluwer Academic Publishers eBooks

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Technology Adoption and User Behaviour Usability and User Interface Design Health, Technology, Consumer Behavior

Abstract

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.

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1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology 1989User Acceptance of Computer Technology: A Comparison of Two Theoretical Models 1992Information Systems Success: The Quest for the Dependent Variable 1991Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation 1995Task-Technology Fit and Individual Performance 1991Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior 1991Personal Computing: Toward a Conceptual Model of Utilization1 2000Multivariate Data Analysis

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