Understanding information technology acceptance by individual professionals: Toward an integrative view

By Mun Yong Yi, J. Jackson, Jae S. Park, J. Probst. Information Manager (The), 2006

1,228 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/b3676a05b95eecee4c3c34871b5b8fe463cda3ff

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Citations in the corpus

Factors influencing teachers' adoption and integration of information and communication technology into teaching: A review of the literature (2012, background): “In addition, Yi et al. (2006) reported that relative advantage, complexity, observability, and image are the most significant factors in predicting student teachers' intentions to make use of technology.”
User Intentions to Adopt Mobile Payment Services: A Study of Early Adopters in Thailand (2015, background): “, 2012) and people’s feelings about the utility of the innovation (López-Nicolás et al., 2008; Schepers & Wetzels, 2007; Yi et al., 2006).”
Technology Acceptance among Physicians (2007, background): “The model’s behavioral components were originally expected to fully mediate the influences that external variables have on behavioral intentions (Davis, Bagozzi, and Warshaw 1989), but studies suggest that external influences cannot be ignored in adequately assessing technology acceptance (Burton-Jo”
Determinants of physicians' technology acceptance for e-health in ambulatory care (2012, background): “Many TAM studies in the past limited their research of technology acceptance to either a specific group of physicians or a single e-health technology, or to EHR [68] or handheld computers [69].”
Modeling factors explaining the acceptance, actual use and satisfaction of nurses using an Electronic Patient Record in acute care settings: An extension of the UTAUT (2015, neutral): “[56] M.”
A unified perspective on the factors influencing consumer acceptance of internet of things technology (2014, background): “User acceptance toward a technology is the major determinant of actual usage behavior (Yi et al., 2006).”
Modeling roles of subjective norms and eTrust in customers' acceptance of airline B2C eCommerce websites. (2009, background): “, 2003), or personal innovativeness (Herrero Crespo & Rodrı́guez Del Bosque Rodrı́guez, 2008; Yi et al., 2006) in order to expand the number of moderating situations and to further the current research model.”
The adoption of mobile healthcare by hospital's professionals: An integrative perspective (2011, methodology): “Additionally, other studies have shown that the integration of TAM and TPB should lead to higher power to explain technology acceptance in both business and healthcare applications [62,68].”
Investigating the impacting factors for the healthcare professionals to adopt artificial intelligence-based medical diagnosis support system (AIMDSS) (2018, background): “Besides, Yi et al. (2006) indicated the positively inﬂuence of personal innovativeness on 123 perceived ease of use in the context of PDA acceptance by healthcare professionals.”