Organizational Behavior and Human Decision Processes
Regular ArticleDomain-Specific Knowledge and Task Characteristics in Decision Making
References (0)
Cited by (79)
A multi-dimensional approach for analyzing risk-related decision problems to enhance decision making and prevent accidents
2024, Journal of Loss Prevention in the Process IndustriesLearnersourcing in the age of AI: Student, educator and machine partnerships for content creation
2023, Computers and Education: Artificial IntelligenceLeveraging research within a pedagogical protocol for enhanced integrated-competency student learning
2021, Journal of Accounting EducationCitation Excerpt :The literature has identified the importance of domain knowledge/expertise of the decision-maker as an area of interest for improving organizational decision-making. Researchers have linked domain knowledge/expertise with multiple frameworks for cognitive processing and decision modeling (see Steiner, Nussbaumer, Neville, & Albert, 2017; Devine & Kozlowski, 1995). Previous research has delineated domain knowledge into three subcategories of task, theory, and tool knowledge (Marshall, Byrd, Gardiner, & Rainer, 2002).
Who is an expert for foresight? A review of identification methods
2020, Technological Forecasting and Social ChangeCitation Excerpt :The repetitive structure of performance-based models is crucial. As researchers highlight, the maximal adaptation to task constraints is essential for the performance of experts (Devine and Kozlowski, 1995; Ericsson and Lehmann, 1996; Shanteau, 1992), which renders this method of selection particularly applicable to repetitive tasks. However, selection based on past performance should attend to the circumstances of previous judgments, such as whether an accurate forecast truly evolves from a person's expertise or in effect of luck or irrational choice.
Adaptive expertise and creative thinking: A synthetic review and implications for practice
2020, Thinking Skills and CreativityCitation Excerpt :Sternberg and Frensch (1992) also pointed out how easily people can fall into mental routines and ruts in thinking because of the automaticity of processing in expert domains. While expert knowledge allows people to react more quickly and accurately in well-structured environments that respect established patterns of the domain, the knowledge does not always carry over into ill-structured problem spaces (Devine & Kozlowski, 1995). Sometimes domain rules can change as a result of external stimuli, and when that happens, experts have varying levels of adaptability to the new situation (Bransford et al., 2000).
Exploration-exploitation tradeoffs and information-knowledge gaps in self-regulated learning: Implications for learner-controlled training and development
2019, Human Resource Management ReviewCitation Excerpt :However, like purely exploratory approaches, an overemphasis on exploitation can also be problematic. Research shows that people who possess routine expertise tend to struggle when characteristics of the problem domain change (Devine & Kozlowski, 1995; Sternberg & Frensch, 1992). Similarly, Stanislaw et al. (1994) found that when operating in adaptive contexts, programmers who favored a broader variety of languages outperformed individuals who specialized in a single language because they were better able to select and adapt the appropriate language to suit the problem.