مشخص کردن اثرات باورهای خوداثربخشی کامپیوتری سیستم ویژه و عمومی بر روی مقبولیت

This paper discusses extensions to previous research on computer self-efficacy (CSE) and systems acceptance by examining the impact of multilevel CSE on IS acceptance. Based on the technology acceptance model (TAM), we examined the effects of general and system-specific CSE on perceived ease of use, perceived usefulness, and behavioral intention to use a system. The results of a field experiment indicated that system-specific CSE represented a stronger predictor of perceived usefulness and behavioral intention than general CSE. In contrast, general CSE had a stronger effect on perceived ease of use. The research and practical implications of these findings are discussed.

The positive effects of IS on job performance and organizational effectiveness have motivated organizations to increase their investment in IS technologies [25]. However, lack of system acceptance and utilization by intended users has proved to be an obstacle to achieving the benefits of IS. This has been termed the productivity paradox [27] and has underscored the importance of IS acceptance as a precondition for achieving any returns from the investment that organizations make in IS [30]. Accordingly, understanding factors that influence a user's decision to accept or reject a system has become an important issue. TAM [10] and [11] is recognized as a simple and robust model for studying systems acceptance and utilization. It has been used in various settings to explain system acceptance across a wide range of technologies and user groups, e.g. [12], [26] and [38]. TAM models IS acceptance as a function of users’ perceptions of usefulness and ease of use of a target system. Computer self-efficacy (CSE), confidence in one's ability to use computer skills to execute a task, has been found to be a reliable determinant of acceptance intention and usage behavior. For example, high CSE beliefs reduced individual resistance to technological innovation and facilitated IS acceptance [14]. Likewise, CSE demonstrated significant effects on other determinants of systems acceptance such as playfulness and computer anxiety [16] and had a positive effect on intention to use Internet-based applications [31] and [39]. The effects of CSE on perceptions of ease of use, usefulness, behavioral intention to use a system, and actual system usage have been confirmed across many studies, e.g. [20], [22] and [43]. A review of studies of CSE demonstrated that it was a multilevel construct with general and system-specific components [33]. While general CSE refers to a generalized and system-independent individual trait, system-specific CSE pertains to judgments of self-efficacy toward a specific system or software package. Several studies have considered the influence of system-specific CSE on learning performance in computer training [24] and computer task performance [44]. Little is known, however, about the effect of system-specific CSE on acceptance behavior. Furthermore, few studies have utilized CSE as an external factor affecting TAM's key variables and most have focused on CSE as a general, system-independent variable [37]. Therefore, our study drew a distinction between general and system-specific CSE and examined the role of each level of CSE on IS acceptance.