Influence Processes for Information Technology Acceptance: An Elaboration Likelihood Model

By Anol Bhattacherjee, Clive C. Sanford. MIS Q., 2006

1,456 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/6ffe66d795bc11faeb32dcd237febe71598d732f

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Citations in the corpus

Adoption of Electronic Health Records in the Presence of Privacy Concerns: The Elaboration Likelihood Model and Individual Persuasion (2009, methodology): “…and Cacioppo 1979; Petty et al. 1981b Petty and Cacioppo 1984b Petty and Cacioppo 1979; Petty et al. 1981b Johnson and Eagly 1989 Sherif et al. 1965 Bhattacherjee and Sanford 2006 Source expertise typically associated with peripheral route to persuasion but also can act through a central route.”
Influence of Social Media on Chinese Students’ Choice of an Overseas Study Destination: An Information Adoption Model Perspective (2014, neutral): “Although an array of heuristic principles has been suggested in the literature, three are discussed more extensively: credibility of communicator; liking the message; and consensus (if other people believe it, then it’s probably true) (Bhattacherjee & Sanford, 2006; Wood & Kallgren, 1988).”
Factors affecting YouTube influencer marketing credibility: a heuristic-systematic model (2018, background): “Bhattacherjee and Sanford (2006) de ﬁ ned argument quality as “ the persuasive strength of arguments embedded in an informational message ” (p. 811).”
Persuasive messages on information system acceptance: A theoretical extension of elaboration likelihood model and social influence theory (2013, background): “…arguments and relative merits to forming judgment about the target behavior, while the peripheral route refers to the individual using simple cues or inferences heuristically in evaluating the target behavior, without cognitive thinking (Bhattacherjee & Sanford, 2006; Petty & Cacioppo, 1986).”
Examining the influence of online reviews on consumers' decision-making: A heuristic-systematic model (2014, methodology): “Following this line of definitions, Bhattacherjee and Sanford [5] operationalized argument quality by emphasizing the persuasive strength of arguments, whereas Cheung et al. [18] employed argument strength to highlight whether received information can persuade a person to believe something or to per”
An exploration of the factors influencing social media continuance usage and information sharing intentions among Korean travellers (2017, methodology): “Therefore, persuasive strength of communication for argument quality is significant (Bhattacherjee & Sanford, 2006).”
The impact of electronic word-of-mouth communication: A literature analysis and integrative model (2012, background): “Comprehensiveness Argument quality refers to the persuasive strength of arguments embedded in an informational message [7] Relevance refers to the extent to which the messages are”
Engaging customers through online participation in social networking sites (2017, background): “Usefulness refers to user perceptions deriving from personal or professional judgment about content that may benefit their performance in browsing posts (Bhattacherjee & Sanford, 2006), while preferences comprise favorable feelings and interests (Kim & Son, 2009; Chang et al., 2015).”
The influence of online information on investing decisions of reward-based crowdfunding (2017, background): “…that its inclusion is expected, anticipated, and often required by journal editors and reviewers alike, representing one of marketing communication's sacred and most-cited models (Bhattacherjee and Sanford, 2006; Ho and Bodoff, 2014; Pasadeos, Phelps, and Edision, 2008; Angst and Agarwal, 2009).”
Understanding users' initial trust in mobile banking: An elaboration likelihood perspective (2012, background): “However, the attitude changed via the central route may be more stable and enduring than that changed via the peripheral route (Bhattacherjee & Sanford, 2006).”
Understanding user experiences of online travel review websites for hotel booking behaviours: an investigation of a dual motivation theory (2018, methodology): “With regard to the credibility of the online reviews, the current research used two items to measure each construct: expertise and trustworthiness (Bhattacherjee & Sanford, 2006).”
The influence of tourism website on tourists' behavior to determine destination selection: : A case study of creative economy in Korea (2015, background): “Finally, the discriminant validity of themeasurementmodel was checked by comparing the square root of the AVE for each construct with the correlations between that construct and other constructs.”
A Comparison of Approaches for the Analysis of Interaction Effects Between Latent Variables Using Partial Least Squares Path Modeling (2010, background): “Bhattacherjee & Sanford, 2006 ; Brown & Venkatesh, 2005 ).”