Computational Advancements in End-user Technologies: by Steve Clarke

By Steve Clarke

Lately, cutting edge applied sciences have bring about quick development and sped up learn reviews in the box of end-user computing. Computational developments in End-User applied sciences: rising versions and Frameworks comprises major study and practices into the development, value, and finished nature of end-user computing. A defining choice of major instruments, functions, and methodologies inside this increasing box of analysis, this book offers academicians, researchers, and practitioners with an entire and sensible source of professional overseas findings.

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One explanation is that end users want to minimize their effort (Chu & Spires, 2000; Payne, 1982), and therefore they focus on achieving an adequate but not optimal solution. This behavior is consistent with the idea that effort is weighted more heavily than accuracy because feedback on effort expenditure is more immediate, while feedback on accuracy is delayed and 19 Effort-Accuracy Trade-Off in Using Knowledge Management Systems often times ambiguous (Einhorn & Hogarth, 1981; Kleinmuntz & Schkade, 1993).

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1968). Accuracy of judgments of deception when an interview is watched, heard, and read. Personnel Psychology, 21, 23–30. 1968. x Kim, K. (2001). Implications of user characteristics in information seeking on the World Wide Web. International Journal of HumanComputer Interaction, 13, 323–340. , & Benbasat, I. (2000). The use of explanations in knowledge-based systems: Cognitive perspective and a process-tracing analysis. Journal of Management Information Systems, 17, 153–180. , & Compton, P. (2004).

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