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Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior
Information systems IS cannot be effective unless they are used. However, people sometimes do not use systems that could potentially increase their performance. This study compares two models thatExpand
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Extending the technology acceptance model: the influence of perceived user resources
There has been considerable research on the factors that predict whether individuals will accept and voluntarily use information systems. The technology acceptance model (TAM) has a base inExpand
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Beyond the interface: Ease of use and task/technology fit
Perceived ease of use (EOU) is an important factor in determining whether an individual will voluntarily use an IS. Many developers focus their attention on the system's interface when designing forExpand
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Information Systems Research in the Nonprofit Context: Challenges and Opportunities
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  • Open Access
Performance improvement efforts in response to negative feedback: the roles of source power and recipient self-esteem
This study investigates dimensions of supervisor power and recipient self-esteem as predictors of performance improvement efforts following negative performance feedback. The study employs twoExpand
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Towards a Design Science of Ethical Decision Support
Ethical decision making involves complex emotional, cognitive, social, and philosophical challenges. Even if someone wants to be ethical, he or she may not have clearly articulated what that means,Expand
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Learning Lean: A Survey of Industry Lean Needs
The authors examined business practitioners' preferences for higher education curricula design in general and for what graduates should know about Lean, or waste-reduction efforts. The authorsExpand
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  • Open Access
Elements of Moral Maturity
This paper offers an image of moral maturity that consists of seven elements: moral agency, harnessing cognitive ability, harnessing emotional resources, using social skill, using principles,Expand
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Reducing bias in user's evaluations of information systems
Abstract Systematic biases occur when users evaluate an information system (IS). Such biases can have serious consequences for those involved in the development and acquisition of an IS. Some simpleExpand
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A Broader View of Relevance
The question of the relevance of MIS research to practitioners is part of the broader question of the match between academic research goals and the goals of constituents. We call for a broaderExpand
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  • Open Access