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Along with increasing investments in new technologies, user technology acceptance becomes a frequently studied topic in the information systems discipline. The last two decades have seen user acceptance models being proposed, tested, refined, extended, and unified. These models have contributed to our understanding of user technology acceptance factors and(More)
Agarwal and Karahanna (2000) suggested that holistic user experiences with IT contribute to users' evaluation of and reaction to using the technology. They proposed and empirically tested a construct named cognitive absorption that has preceding effects on important user technology acceptance constructs. We propose that an important antecedent of cognitive(More)
Herd literature suggests that people tend to discount their own beliefs and imitate others when making adoption decisions and that the resulting adoption decisions are fragile and can be easily reversed during the post-adoptive stage. This helps explain why the adoption of a number of new technologies―from Amazon's Kindle, Apple's iPod, iPhone, and iPad, to(More)
Article ID Concepts Definitions Technical Level Ahuja and Thatcher (2005) Trying to innovate An individual's goal of finding novel uses for information technologies. This is considered to be a particularly suitable volitional post-adoptive measure. Whole system Barki et al. (2007) Task-technology adaptation behaviors Task-technology adaptation includes all(More)
While most existing models or theories in IS focus on the cognitive and behavioral aspects of human decision-making processes and individual level reactions to using technologies in organizations and other contexts, the influence of affect or emotion is traditionally neglected. The affective aspect, however, is considered crucial and has gained attention in(More)
Affect factors have gained researchers' attention in a number of fields. The Information Systems (IS) literature, however, shows some gaps and inconsistencies regarding the role of affect factors in human–computer interaction. Building upon prior research, this study aims at a better understanding of affect factors by clarifying their relationships with(More)
Post-adoptive system use is often characterized by cycles of adaptation, in which people actively revise how they use information systems. This paper investigates how and why individual users revise their system use at the feature level. A new concept, adaptive system use (ASU), is conceptualized as a user's revisions of which and how system features are(More)
Identifying causal relationships is an important aspect of scientific inquiry. Causal relationships help us to infer, predict, and plan. This research investigates the causal relationships between two constructs, perceived enjoyment (PE) and perceived ease of use (PEOU), within the nomological net of user technology acceptance. PE has been theorized and(More)