Predicting Different Conceptualizations of System Use: The Competing Roles of Behavioral Intention, Facilitating Conditions, and Behavioral Expectation

By V. Venkatesh, Susan A. Brown, Likoebe Mohau Maruping, Hillol Bala. MIS Q., 2008

890 citations recorded by the source corpus.

Subfields: Communication, Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/af846f134196d42cc7c9b46b20b88ca30b43323e

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Citations in the corpus

Quitting the use of a habituated hedonic information system: a theoretical model and empirical examination of Facebook users (2015, methodology): “Satisfaction, habit, and discontinuance intentions were adapted from the works of Venkatesh et al (2008) and Limayem et al (2007).”
Internet adoption by the elderly: employing IS technology acceptance theories for understanding the age-related digital divide (2014, methodology): “Firstly, we examine the validity of our constructs (outer model) using standardised measures that are consistent with Venkatesh et al (2008), Brown & Venkatesh (2005) or Venkatesh et al (2003).”
Factors influencing the acceptance and use of a bicycle sharing system: Applying an extended Unified Theory of Acceptance and Use of Technology (UTAUT) (2020, methodology): “Building on these theories, Venkatesh et al. (2003); and Venkatesh et al. (2008) proposed the Unified Theory of Acceptance and Use of Technology (UTAUT) comprising factors of Performance Expectancy, Effort Expectancy, Social Influence and Facilitating Conditions to explain both Behavioural…”
User Acceptance of Mobile Apps for Restaurants: An Expanded and Extended UTAUT-2 (2019, background): “UTAUT identiﬁes the facilitating conditions as a construct that reﬂects a person’s perception of their control over their behavior [50].”
The unified theory of acceptance and use of technology (UTAUT): a literature review (2015, background): “He and Lu (2007a) Model 1 Yes No Yes x Yes Yes Model 2 No No Yes x Yes Yes Model 3 No No Yes x Yes Yes He and Wei (2009) x x x x Yes Yes Hung et al. (2007) Yes Yes Yes x Yes Yes Hutchison and Bekkering (2009) No No No No x x Jayasingh and Eze (2009) x x Yes x x x Johnston and Warkentin (2010) x x Ye”
Towards business intelligence systems success: Effects of maturity and culture on analytical decision making (2012, background): “It is not surprising that use of information provided by IS has also been recognized as one of the most important measures for IS success with many studies researching its various aspects, such as the motivation to use [24], frequency of use [39], intensity of use [77] and the number of features of ”
Understanding User Revisions When Using Information Systems Features: Adaptive System Use and Triggers (2012, background): “The results also show that people perform different ASU behaviors under different triggering conditions.”
Exploring the influential factors of continuance intention to use mobile Apps: Extending the expectation confirmation model (2018, background): “Facilitating conditions is a construct that reflects an individual ’ s perceptions about his or her control over a behaviour (Venkatesh et al. 2008).”