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    정보기술 수용에서 사용용이성과 통제가능성을 하위 차원으로 하는 지각된 사용통제의 역할 = Roles of Perceived Use Control consisting of Perceived Ease of Use and Perceived Controllability in IT acceptance

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    https://www.riss.kr/link?id=A104960240

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    According to technology acceptance model(TAM) which is one of the most important research models for explaining IT users' behavior, an intention of using IT is determined by usefulness and ease of use of it. However, TAM wouldn't explain the performance of using IT while it has been considered as a very good model for prediction of the intention. Many people would not be confirmed in the performance of using IT until they can control it at their will, although they think it useful and easy to use. In other words, in addition to usefulness and ease of use as in TAM, controllability is also should be a factor to determine acceptance of IT. Especially, there is a very close relationship between controllability and ease of use, both of which explain the other sides of control over the performance of using IT, so called perceived behavioral control(PBC) in social psychology.
    The objective of this study is to identify the relationship between ease of use and controllability. and analyse the effects of both two beliefs over performance and intention in using IT. For this purpose, we review the issues related with PBC in information systems studies as well as social psychology. Based on a review of PBC, we suggest a research model which includes the relationship between control and performance in using IT, and prove its validity empirically.
    Since it was introduced as a variable for explaining volitional control for actions in theory of planned behavior(TPB), there have been confusion about concept of PBC in spite of its important role in predicting so many kinds of actions. Some studies define PBC as self-efficacy that means actor's perception of difficulty or ease of actions, while others as controllability. However, this confusion does not imply conceptual contradiction but a double-faced feature of PBC since the performance of actions is related with both self-efficacy and controllability. In other words, these two concepts are discriminated and correlated with each other. Therefore, PBC should be considered as a composite concept consisting of self-efficacy and controllability.
    Use of IT has been also one of important areas for predictions by PBC. Most of them have been studied by analysis of comparison in prediction power between TAM and TPB or modification of TAM by inclusion of PBC as another belief as like usefulness and ease of use. Interestingly, unlike the other applications in social psychology, it is hard to find such confusion in the concept of PBC in the studies for use of IT. In most of studies, controllability is adapted as PBC since the concept of self-efficacy is included in ease of use explicitly.
    Based on these discussions, we can suggest perceived use control (PUC) which is defined as perception of control over the performance of using IT and composed of controllability and ease of use as sub-concepts. We also suggest a research model explaining acceptance of IT which includes the relationships of PUC with attitude and performance of using IT.
    For empirical test of our research model, two user groups are selected for surveying questionnaires. In the first group, there are freshmen who take a basic course for Microsoft Excel, and the second group consists of senior students who take a course for analysis of management information by Excel. Most of measurements are adapted ones that have been validated in the other studies, while performance is real score of mid-term in each class. In result, four hypotheses related with PUC are supported statistically with very low significance level.
    Main contribution of this study is suggestion of PUC through theoretical review of PBC. Specifically, a hierarchical model of PUC are derived from very rigorous studies in the relationship between self-efficacy and controllability with a view of PBC in social psychology. The relationship between PUC and performance is another main contribution.
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    According to technology acceptance model(TAM) which is one of the most important research models for explaining IT users' behavior, an intention of using IT is determined by usefulness and ease of use of it. However, TAM wouldn't explain the performan...

    According to technology acceptance model(TAM) which is one of the most important research models for explaining IT users' behavior, an intention of using IT is determined by usefulness and ease of use of it. However, TAM wouldn't explain the performance of using IT while it has been considered as a very good model for prediction of the intention. Many people would not be confirmed in the performance of using IT until they can control it at their will, although they think it useful and easy to use. In other words, in addition to usefulness and ease of use as in TAM, controllability is also should be a factor to determine acceptance of IT. Especially, there is a very close relationship between controllability and ease of use, both of which explain the other sides of control over the performance of using IT, so called perceived behavioral control(PBC) in social psychology.
    The objective of this study is to identify the relationship between ease of use and controllability. and analyse the effects of both two beliefs over performance and intention in using IT. For this purpose, we review the issues related with PBC in information systems studies as well as social psychology. Based on a review of PBC, we suggest a research model which includes the relationship between control and performance in using IT, and prove its validity empirically.
    Since it was introduced as a variable for explaining volitional control for actions in theory of planned behavior(TPB), there have been confusion about concept of PBC in spite of its important role in predicting so many kinds of actions. Some studies define PBC as self-efficacy that means actor's perception of difficulty or ease of actions, while others as controllability. However, this confusion does not imply conceptual contradiction but a double-faced feature of PBC since the performance of actions is related with both self-efficacy and controllability. In other words, these two concepts are discriminated and correlated with each other. Therefore, PBC should be considered as a composite concept consisting of self-efficacy and controllability.
    Use of IT has been also one of important areas for predictions by PBC. Most of them have been studied by analysis of comparison in prediction power between TAM and TPB or modification of TAM by inclusion of PBC as another belief as like usefulness and ease of use. Interestingly, unlike the other applications in social psychology, it is hard to find such confusion in the concept of PBC in the studies for use of IT. In most of studies, controllability is adapted as PBC since the concept of self-efficacy is included in ease of use explicitly.
    Based on these discussions, we can suggest perceived use control (PUC) which is defined as perception of control over the performance of using IT and composed of controllability and ease of use as sub-concepts. We also suggest a research model explaining acceptance of IT which includes the relationships of PUC with attitude and performance of using IT.
    For empirical test of our research model, two user groups are selected for surveying questionnaires. In the first group, there are freshmen who take a basic course for Microsoft Excel, and the second group consists of senior students who take a course for analysis of management information by Excel. Most of measurements are adapted ones that have been validated in the other studies, while performance is real score of mid-term in each class. In result, four hypotheses related with PUC are supported statistically with very low significance level.
    Main contribution of this study is suggestion of PUC through theoretical review of PBC. Specifically, a hierarchical model of PUC are derived from very rigorous studies in the relationship between self-efficacy and controllability with a view of PBC in social psychology. The relationship between PUC and performance is another main contribution.

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    참고문헌 (Reference)

    1 이웅규, "인터넷 뱅킹에서 오프라인 신뢰와 온라인 거래의 관계" 17 (17): 29-47, 2007

    2 Legris, P., "Why do people use information technology? a Critical Review of the Technology Acceptance Model" 40 (40): 191-204, 2003

    3 Venkatesh, Viswanath, "User Acceptance of Information Technology: toward a Unified View" 27 (27): 425-478, 2003

    4 Davis, Fred D., "User Acceptance of Computer Technology: a Comparison of Two Theoretical Models" 35 (35): 982-1003, 1989

    5 Taylor, Shirley, "Understanding Information Technology Usages: a Test of Comparing Models" 6 (6): 144-176, 1995

    6 Yi, Mun Y., "Understanding Information Technology Acceptance by Individual Professionals: toward an Integrative View" 43 : 350-363, 2006

    7 Riemenschneider, Cynthia K., "Understanding IT Adoption Decisions in Small Business: Integrating Current Theories" 40 : 269-285, 2003

    8 Ajzen, Icek, "The Theory of Planned Behavior" 50 : 179-211, 1991

    9 Wold, H., "Soft Modeling: the Basic Design and Some Extensions ; System Under Indirect Observations: Part 2" North- Holland 1-54, 1982

    10 Mathieson, Kieran, "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior" 2 (2): 173-191, 1991

    1 이웅규, "인터넷 뱅킹에서 오프라인 신뢰와 온라인 거래의 관계" 17 (17): 29-47, 2007

    2 Legris, P., "Why do people use information technology? a Critical Review of the Technology Acceptance Model" 40 (40): 191-204, 2003

    3 Venkatesh, Viswanath, "User Acceptance of Information Technology: toward a Unified View" 27 (27): 425-478, 2003

    4 Davis, Fred D., "User Acceptance of Computer Technology: a Comparison of Two Theoretical Models" 35 (35): 982-1003, 1989

    5 Taylor, Shirley, "Understanding Information Technology Usages: a Test of Comparing Models" 6 (6): 144-176, 1995

    6 Yi, Mun Y., "Understanding Information Technology Acceptance by Individual Professionals: toward an Integrative View" 43 : 350-363, 2006

    7 Riemenschneider, Cynthia K., "Understanding IT Adoption Decisions in Small Business: Integrating Current Theories" 40 : 269-285, 2003

    8 Ajzen, Icek, "The Theory of Planned Behavior" 50 : 179-211, 1991

    9 Wold, H., "Soft Modeling: the Basic Design and Some Extensions ; System Under Indirect Observations: Part 2" North- Holland 1-54, 1982

    10 Mathieson, Kieran, "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior" 2 (2): 173-191, 1991

    11 Davis, Fred D., "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology" 13 (13): 319-340, 1989

    12 Ajzen, Icek, "Perceived Behavioral Control, Self-Efficacy, Locus of Control, and the Theory of Planned Behavior" 32 (32): 665-683, 2002

    13 Chin, W.W., "Overview of the PLS Method"

    14 Ajzen, Icek, "Nature and Operations of Attitude" 52 : 27-58, 2001

    15 Chin, W.W., "Issues and Opinion on Structural Equation Modeling" 22 (22): 7-16, 1998

    16 Wold, H., "Introduction to the Second Generation of Multivariate Analysis ; Theoretical Empiricism" Paragon House 7-11, 1989

    17 Bandura, A., "Human Promotion from the Perspective of Social Cognitive Theory" 13 : 623-649, 1998

    18 Chau, Patrick Y.K., "Examining a Model of Information Techonology Acceptance by Individual Professionals: an Exploratory Study" 18 (18): 191-229, 2002

    19 Trafimow, David, "Evidence that Perceived Behavioural Control is a Multidimensional Construct: Perceived Control and Perceived Difficulty" 41 : 101-121, 2002

    20 Armitage, Christopher, "Efficacy of the Theory of Planned Behaviour: A Meta-Analytic Review" 40 : 471-499, 2001

    21 Fishbein, Martin, "Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research" Addison-Wesley 1975

    22 Taylor, Shirley, "Assessing IT Usage: the Role of Prior Experience" 19 (19): 1995

    23 Venkatesh, Viswanath, "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies" 46 (46): 186-204, 2000

    24 Falk, R. Frank, "A Primer for Soft Modeling , 1st ed edition" University of Akron Press 1992

    25 Gefen, David, "A Practical Guide to Factorial Validity Using PLS-Graph: Tutorial and Annotated Example" 16 : 91-109, 2005

    26 King, William R., "A Meta- Analysis of the Technology Acceptance Model" 43 : 740-755, 2006

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