IS

Sanford, Clive

Topic Weight Topic Terms
0.404 research study influence effects literature theoretical use understanding theory using impact behavior insights examine influences
0.183 perceived usefulness acceptance use technology ease model usage tam study beliefs intention user intentions users
0.120 processes interaction new interactions temporal structure research emergent process theory address temporally core discussion focuses

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Bhattacherjee, Anol 1
attitude 1 elaboration likelihood model 1 Information systems acceptance 1 influence 1
persuasion 1 survey research 1

Articles (1)

INFLUENCE PROCESSES FOR INFORMATION TECHNOLOGY ACCEPTANCE: AN ELABORATION LIKELIHOOD MODEL. (MIS Quarterly, 2006)
Authors: Abstract:
    This study examines how processes of external influence shape information technology acceptance among potential users, how such influence effects vary across a user population, and whether these effects are persistent over time. Drawing on the elaboration-likelihood model (ELM), we compared two alternative influence processes, the central and peripheral routes, in motivating IT acceptance. These processes were respectively operationalized using the argument quality and source credibility constructs, and linked to perceived usefulness and attitude, the core perceptual drivers of IT acceptance. We further examined how these influence processes were moderated by users' IT expertise and perceived job relevance and the temporal stability of such influence effects. Nine hypotheses thus developed were empirically validated using a field survey of document management system acceptance at an eastern European governmental agency. This study contributes to the IT acceptance literature by introducing ELM as a referent theory for acceptance research, by elaborating alternative modes of influence, and by specifying factors moderating their effects. For practitioners, this study introduces influence processes as policy tools that managers can employ to motivate IT acceptance within their organizations, benchmarks alternative influence strategies, and demonstrates the need for customizing influence strategies to the specific needs of a user population.