Affect and acceptance: Examining the effects of positive mood on the technology acceptance model

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While the technology acceptance model (TAM) is generally robust it does not always adequately explain user behavior. Recent studies argue that including individual characteristics in TAM can improve our understanding of those conditions under which TAM is 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.

论文关键词:Decision support systems,Mood,Positive mood theory,Affect,Uncertainty,Computerized decision aids,Behavioral intention,Ease of use,Usefulness,Technology acceptance model

论文评审过程:Received 1 July 2008, Revised 31 August 2009, Accepted 14 October 2009, Available online 22 October 2009.

论文官网地址:https://doi.org/10.1016/j.dss.2009.10.002