Roles of Computer Self-Efficacy and Outcome Expectancy in Influencing the Computer End-User's Organizational Commitment

Abstract

Consumer purchasing online is considered, with interactivity highlighted as a critical end-user issue. Levels of user interactivity up to and including virtual reality environments are now realistic in e-tailing. Conceptualizing interactivity to recognize the relevance of perceptions to consumer engagement motivates a focus on the user interface. Aspects relating to trust, usability and involvement are identified, and examined in a series of linked studies focusing on hedonic and high-involvement products, particularly surfboards. Preliminary studies across a range of businesses and products indicated consumer willingness to purchase hedonic products online, but many businesses imposed a high workload on online purchasers. Despite successful web marketing of hedonic products such as CDs, we found that no contemporary providers of customized surfboards offered finished product e-tailing, nor used virtual reality technology to demonstrate performance. A real case study of online swimwear purchase demonstrated an improved purchase process. “Beachtown”, a virtual reality e-tailing environment related to a coastal tourism economy allowed further examination of apparel, surfboard and holiday purchase. Results indicate that an enhanced interactive virtual environment increases end user involvement and willingness to purchase.

The benefits of a challenge: student motivation and flow experience in tablet-PC-game-based learning

“…Self-efficacy is defined in terms of specific skills or domains; thus, for example, self-efficacy for technology (or computer self-efficacy) is defined as one's perceived ability to accomplish a task using a computer (Compeau & Higgins, 1995;Sun & Rueda, 2012). Studies have shown that self-efficacy for technology positively influences students' learning outcomes (Bates & Khasawneh, 2007;Compeau & Higgins, 1995;Stone & Henry, 2003) and has a direct positive relationship with flow state (Hong, Chiu, Shih, & Lin, 2012). Based on an analysis of data from 72 students playing a computer game, Cha, Baek, and Xu (2008) found that computer self-efficacy positively influenced the students' gaming achievement.…”

Cognitive engagement with a multimedia ERP training tool: Assessing computer self-efficacy and technology acceptance

“…The sources of support have been systems staff (not significant [21]), support staff and co-workers (negative), management [12] or superiors [23]. Since management and superiors are significant sources of support while systems staff are not, the source of support should be explicit.…”

“…However, ''knowledge'' in OS may overlap with CSE because proficiency is an often-used measure of CSE. Assistance, help, influence and encouragement are other measures of OS [8,12,21,22]. The type of technology may influence the results.…”

The Use of Problem‐Based Learning to Enhance MIS Education

“…Hung (2003) found that executives with higher levels of computer self‐efficacy were more satisfied with information provided by executive support systems. Stone and Henry (2003) examined differences in computer self‐efficacy based on gender; however, they failed to support any gender differences. Kinzie and Delcourt (1994) examined computer self‐efficacy relevant to word processing, e‐mail, spreadsheets, database programs, statistical packages, and CD‐ROM‐based databases.…”

“…Related to computer usage, computer self‐efficacy refers to a person's belief in having the skills and abilities to accomplish a task; it determines the individual's persistence for learning a task (Stone & Henry, 2003). In general, computer self‐efficacy finds its roots in Social Cognitive Theory (Bandura, 1986).…”