Going beyond intention: Integrating behavioral expectation into the unified theory of acceptance and use of technology

Likoebe M. Maruping, Hillol Bala, Viswanath Venkatesh, Susan A Brown

Research output: Contribution to journalArticle

26 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
JournalJournal of the Association for Information Science and Technology
DOIs
StateAccepted/In press - 2016

Fingerprint

Information technology
acceptance
information technology
determinants
Information use
voluntariness
Information science
Moderators
moderator
field of study
Acceptance
Behavioral intention
information science
cognition
new technology
information system
comprehension
Information technology use
Information systems
gender

ASJC Scopus subject areas

  • Information Systems and Management
  • Library and Information Sciences
  • Computer Networks and Communications
  • Information Systems

Cite this

@article{dd12f4107bf54946bf5477f422544d84,
title = "Going beyond intention: Integrating behavioral expectation into the unified theory of acceptance and use of technology",
abstract = "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.",
author = "Maruping, {Likoebe M.} and Hillol Bala and Viswanath Venkatesh and Brown, {Susan A}",
year = "2016",
doi = "10.1002/asi.23699",
language = "English (US)",
journal = "Journal of the Association for Information Science and Technology",
issn = "2330-1635",
publisher = "John Wiley and Sons Ltd",

}

TY - JOUR

T1 - Going beyond intention

T2 - Integrating behavioral expectation into the unified theory of acceptance and use of technology

AU - Maruping, Likoebe M.

AU - Bala, Hillol

AU - Venkatesh, Viswanath

AU - Brown, Susan A

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84971654693&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84971654693&partnerID=8YFLogxK

U2 - 10.1002/asi.23699

DO - 10.1002/asi.23699

M3 - Article

AN - SCOPUS:84971654693

JO - Journal of the Association for Information Science and Technology

JF - Journal of the Association for Information Science and Technology

SN - 2330-1635

ER -