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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(More)
Computer-aided software engineering (CASE) tools have been advocated for improving maintainer productivity and the quality of maintained software. While there is evidence that such benefits can accrue to organizations adopting maintenance-oriented CASE tools, a key problem in achieving the desired benefits from CASE tools is low usage of these tools by(More)
MIS researchers have developed a number of models for studying the software utilization choices of end users, including the Task-Technology Fit Model and the Technology Acceptance Model. We are exploring the similarities and differences among these models with a goal of developing combined models with more explanatory power. This paper proposes a model that(More)
This study is part of a stream of research that has a goal of understanding software utilization choices of users by extending and testing TTF models in a variety of domains using various methods of model estimation. In particular, this study extends a Task-Technology Fit (TTF) model by including the Computer Self-Efficacy (CSE) construct, a strategy of(More)
In a recent paper, Venkatesh et al. (2003) examine a series of models that explain or predict user acceptance of information technology. These models included the Technology Acceptance Model (Davis et al., 1989), Computer Self Efficacy (Compeau and Higgins, 1995) and other models of user behavior, intention, or affect. Their study combined these models to(More)