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Going beyond intention: Integrating behavioral expectation into the unified theory of acceptance and use of technology
Author(s) -
Maruping Likoebe M.,
Bala Hillol,
Venkatesh Viswanath,
Brown Susan A.
Publication year - 2017
Publication title -
journal of the association for information science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.903
H-Index - 145
eISSN - 2330-1643
pISSN - 2330-1635
DOI - 10.1002/asi.23699
Subject(s) - voluntariness , intentionality , comprehension , psychology , field (mathematics) , technology acceptance model , empirical research , cognition , theory of planned behavior , social influence , social psychology , knowledge management , cognitive psychology , computer science , epistemology , usability , philosophy , mathematics , control (management) , human–computer interaction , neuroscience , artificial intelligence , pure mathematics , programming language
Research on information technology (IT) adoption and use, one of the most mature streams of research in the information science and information systems literature, is primarily based on the intentionality framework. Behavioral intention (BI) to use an IT is considered the sole proximal determinant of IT adoption and use. Recently, researchers have discussed the limitations of BI and argued that behavioral expectation (BE) would be a better predictor of IT use. However, without a theoretical and empirical understanding of the determinants of BE, we remain limited in our comprehension of what factors promote greater IT use in organizations. Using the unified theory of acceptance and use of technology as the theoretical framework, we develop a model that posits 2 determinants (i.e., social influence and facilitating conditions) of BE and 4 moderators (i.e., gender, age, experience, and voluntariness of use) of the relationship between BE and its determinants. We argue that the cognitions underlying the formation of BI and BE differ. We found strong support for the proposed model in a longitudinal field study of 321 users of a new IT. We offer theoretical and practical IT implications of our findings.