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

2011 ◽  
pp. 44-63 ◽  
Author(s):  
Robert W. Stone ◽  
John W. Henry
Keyword(s):  
Organizational Commitment ◽  
Self Efficacy ◽  
End Users ◽  
Outcome Expectancy ◽  
Computer Experience ◽  
End User ◽  
Staff Support ◽  
Data Links ◽  
System Use ◽  
Computer Self Efficacy

The study uses data collected by a survey of computer-based medical information system end users in a large hospital in the southeastern United States. The theoretical model examined using this data links several antecedents to the end users’ organizational commitment, mediated by computer self-efficacy and outcome expectancy. These antecedents are past computer experience of the end user, computer staff support for the computer system, ease of system use, and the degree of system use (i.e., percentage of time the system is used by the end user). The empirical results indicate that past computer experience and the degree of system use positively influence the end user’s organizational commitment through both computer self-efficacy and outcome expectancy. These also show that computer staff support and ease of system use positively impact the end user’s organizational commitment through outcome expectancy. From these results, conclusions and implications for practicing managers are discussed.

An End-User’s Journey of System Use

2011 ◽  
pp. 124-148
Author(s):  
Zahid Hussain ◽  
Khalid Hafeez
Keyword(s):  
End Users ◽  
Longitudinal Case Study ◽  
End User ◽  
Study Approach ◽  
New Information ◽  
User Attitudes ◽  
System Use ◽  
And Behavior ◽  
Attitudes And Behavior

Using a new information system is a journey that end-users follow, sometimes by choice and at other times by obligation. This journey changes their attitudes and behavior as they explore the system and discover its workings. In this chapter we map such a journey using Morgan’s (1986, 1997) metaphors by tracking a change in end–user attitudes and behavior. We use a longitudinal case study approach to follow this journey, report the direction and any shifts in end-users’ conceptual position. Our results show that within a space of eighteen months the organization’s overall metaphorical stance shifted from the organism to the machine metaphor. This reflects the end-user’s initial optimism for the change to enable ease of working to that of efficiency dictated by the senior management towards the end. This shift was due to organizational conditional factors, such as the ISD methodology.

Effects of Computer Self Efficacy on the Use and Adoption of Online Social Networking

2010 ◽  
Vol 2 (1) ◽  
pp. 18-34 ◽  
Author(s):  
Lionel Mew ◽  
William H. Money
Keyword(s):  
Social Networking ◽  
Undergraduate Students ◽  
Self Efficacy ◽  
Online Social Networking ◽  
User Characteristics ◽  
End User ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
System Characteristics ◽  
Computer Self Efficacy

Online Social Networking (OSN) systems such as Ning, MySpace, Facebook and Friendster have achieved tremendous popularity. However, little research has been conducted to determine factors motivating users with varying capabilities to use and adopt OSN systems addressing target tasks, with varying system capabilities and characteristics. The relationships between user characteristics and use/performance have not been adequately addressed. This study used a cross-sectional survey of 262 graduate and undergraduate students to examine how end user Computer Self-Efficacy (CSE) affects performance and use of OSN systems and how “fit” determines whether there are user, task and/or systems characteristics associated with the best performance and usage levels. Significant direct and indirect relationships were found between CSE, task and system characteristics as measured by performance and use, and these relationships were further significantly strengthened when there was good “fit” between the variables. Results indicate that users having high self-efficacy “fit” with task or systems characteristics produce higher performance and use.

Computer self-efficacy and outcome expectancy

1995 ◽  
Vol 16 (4) ◽  
pp. 15-34 ◽  
Author(s):  
John W. Henry ◽  
Robert W. Stone
Keyword(s):  
Self Efficacy ◽  
Outcome Expectancy ◽  
Computer Self Efficacy

A Multitrait-Multimethod Analysis of the End User Computing Satisfaction and Computer Self-Efficacy Instruments

2008 ◽  
pp. 905-917
Author(s):  
Michael J. Masterson ◽  
R. Kelly Rainer
Keyword(s):  
Factor Structure ◽  
Self Efficacy ◽  
Convergent Validity ◽  
Discriminant Validity ◽  
Error Variance ◽  
End User ◽  
Method Variance ◽  
Convergent And Discriminant Validity ◽  
End User Computing ◽  
Computer Self Efficacy

Researchers are employing confirmatory factor analysis (CFA) with multitrait-multimethod (MTMM) matrices to estimate parameters representing trait, method, and error variance, as well as parameters representing the correlations among traits (or factors). This study utilizes CFA with MTMM matrices to assess the convergent validity, discriminant validity, and the presence and effects of method variance in the end-user computing satisfaction instrument (EUCSI) and the computer self-efficacy instrument (CSE). The results of the study indicate that, in these samples, the two instruments demonstrate adequate convergent and discriminant validity, but that method variance is present and accounts for a large proportion of the variance in both models. Further, the proposed factor structure of the EUCSI appears to be unstable as a result of the effects of multiple methods, while the proposed factor structure of the CSE remains stable in the presence of the methods.

A Multitrait-Multimethod Analysis of the End User Computing Satisfaction and Computer Self-Efficacy Instruments

2011 ◽  
pp. 27-43
Author(s):  
Michael J. Masterson ◽  
R. K. Rainer
Keyword(s):  
Factor Structure ◽  
Self Efficacy ◽  
Convergent Validity ◽  
Discriminant Validity ◽  
Error Variance ◽  
End User ◽  
Method Variance ◽  
Convergent And Discriminant Validity ◽  
End User Computing ◽  
Computer Self Efficacy

Researchers are employing confirmatory factor analysis (CFA) with multitrait-multimethod (MTMM) matrices to estimate parameters representing trait, method, and error variance, as well as parameters representing the correlations among traits (or factors). This study utilizes CFA with MTMM matrices to assess the convergent validity, discriminant validity, and the presence and effects of method variance in the end-user computing satisfaction instrument (EUCSI) and the computer self-efficacy instrument (CSE). The results of the study indicate that, in these samples, the two instruments demonstrate adequate convergent and discriminant validity, but that method variance is present and accounts for a large proportion of the variance in both models. Further, the proposed factor structure of the EUCSI appears to be unstable as a result of the effects of multiple methods, while the proposed factor structure of the CSE remains stable in the presence of the methods.

scholarly journals Toward Digital Citizenship: Examining Factors Affecting Participation and Involvement in the Internet Society among Higher Education Students

2015 ◽  
Vol 8 (12) ◽  
pp. 203 ◽  
Author(s):  
Abdulrahman Al-Zahrani
Keyword(s):  
Higher Education ◽  
Technology Use ◽  
Self Efficacy ◽  
The Internet ◽  
Digital Citizenship ◽  
Computer Experience ◽  
Education Students ◽  
Factors Affecting ◽  
Daily Average ◽  
Computer Self Efficacy

<p class="apa">The current study aims to understand digital citizenship, based on the assumptions of Ribble (2014), by examining factors affecting participation and involvement in the Internet virtual societies among higher education students. A quantitative approach using a survey questionnaire was implemented. The participants were 174 students from the Faculty of Education at King Abdulaziz University in Saudi Arabia. The descriptive statistics show that the students generally have good levels of perceived Internet attitude, computer self-efficacy, and digital citizenship, especially in terms of respecting oneself and others online. The factors affecting digital citizenship are computer experience, daily average technology use, students’ attitudes toward the Internet, and computer self-efficacy. Students with higher levels of computer experience are more involved in activities related to educating oneself and connecting with others online compared with students with less experience. Further, students with higher levels of daily average technology use tend to protect themselves and others online more compared with students with lower levels of technology use. Moreover, higher levels of students’ Internet attitude and computer self-efficacy are associated with higher levels of respect for oneself and others, of educating oneself and others, and of total digital citizenship. Based on the current study findings, appropriate recommendations are proposed in terms of policy and practice.</p>

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