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Article
Affect and Acceptance: Examining the Effects of Positive Mood on Technology Acceptance Model
Decision Support Systems
  • Soussan Djamasbi, Worcester Polytechnic Institute
  • Diane Strong
  • Mark Dishaw, University of Wisconsin - Oshkosh
Document Type
Article
Publication Date
1-1-2010
Abstract

While the technology acceptance model (TAM) is generally robust, TAM’s antecedent constructs, ease of use and usefulness of a system, do not always adequately explain acceptance behavior. Recent studies argue that including individual characteristics in TAM is a way to determine those conditions under which ease of use and usefulness are not adequate for explaining acceptance behavior. Using this argument, we examine the effects of positive mood, one individual characteristic that significantly affects an individual’s cognition and behavior, on acceptance of a DSS that supports uncertain tasks. Our results show that positive mood has a significant influence on DSS acceptance and that its influence on users’ behavior is not due to a halo effect.

DOI
10.1016/j.dss.2009.10.002
Citation Information
Soussan Djamasbi, Diane Strong and Mark Dishaw. "Affect and Acceptance: Examining the Effects of Positive Mood on Technology Acceptance Model" Decision Support Systems Vol. 48 Iss. 2 (2010) p. 383 - 394
Available at: http://works.bepress.com/soussan_djamasbi/19/