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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Extra resources for Computational Advancements in End-user Technologies: Emerging Models and Frameworks
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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