ON THE MULTI-DIMENSIONAL NATURE OF COMPATIBILITY BELIEFS IN TECHNOLOGY ACCEPTANCE

Ritu Agarwal · Elena Karahanna

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Technology Adoption and User Behaviour Technology Use by Older Adults Gender and Technology in Education

Abstract

Theoretical and empirical research on technology acceptance, while acknowledging the importance of individual beliefs about the compatibility of a technology, has produced equivocal results. This study focuses on further theoretical and empirical development of this important belief in technology acceptance. Specifically, unlike prior research which has examined only one aspect of compatibility, we provide a more comprehensive conceptual definition that views compatibility as a multi-dimensional construct. Based on the conceptual definition of compatibility, we develop operational measures of the multiple dimensions of compatibility. The model is tested using the World Wide Web (WWW) as the target innovation. Scale validation indicates that the operational measures of compatibility developed in this study have acceptable psychometric properties and confirmatory factor analysis supports the multi-dimensional structure of this construct. We then assess the nomological validity of this construct by situating it within the Technology Acceptance Model. In contrast to prior research which has regarded beliefs of compatibility as an independent antecedent of attitude, we posit causal linkages among the three beliefs of compatibility, usefulness, and ease of use. Results largely support the theorized relationships. 1 ON THE MULTI-DIMENSIONAL NATURE OF COMPATIBILITY

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1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology 1975Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research 1980Understanding Attitudes and Predicting Social Behavior 1979Review of Psychometric theory (2nd ed.).1991Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation 1995Understanding Information Technology Usage: A Test of Competing Models 1998Issues and opinion on structural equation modeling 1991Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior

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