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Comparing Business Experts and Novices in Complex Problem Solving

机译:比较复杂问题解决中的业务专家和新手

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摘要

Business owners are faced with complex problems and are required to make decisions on a daily basis. The purpose of this study was to investigate complex problem solving (CPS) between experts and novices and to explore the competing theories of expert-rigidity versus expert-adaptability, as part of exploring which theory better explains crystallized intelligence. Participants were 140 business owners, business management undergraduate students and psychology students. Each participant managed a highly complex simulated chocolate company. Decisions and systems data were automatically saved in log files. Results revealed that small business owners performed best, followed by business students and then psychology students. A process analysis revealed that experts compared to novices spent more time initially exploring the complex situation. Experts were found to have greater flexibility in their decisions, having made the most personnel and advertising changes in response to situational demands. Adaptability and flexibility were predictive of performance, with results supporting the adaptability/flexibility theory of expertise. This study shows the influence of expertise on complex problem solving and the importance of flexibility when solving dynamic business problems. Complex business simulations are not only useful tools for research, but could also be used as tools in training programs teaching decision making and problem solving strategies.
机译:企业所有者面临着复杂的问题,需要每天做出决定。这项研究的目的是研究专家和新手之间的复杂问题解决(CPS),并探索专家刚性与专家适应性之间的竞争理论,作为探索哪种理论可以更好地解释结晶智能的一部分。参与者为140名企业主,商业管理本科生和心理学专业的学生。每个参与者管理着一个非常复杂的模拟巧克力公司。决策和系统数据自动保存在日志文件中。结果显示,小企业主表现最好,其次是商科学生,然后是心理学系学生。过程分析表明,与新手相比,专家们花了更多时间来探索复杂的情况。发现专家在做出决定方面具有更大的灵活性,他们根据情况的需要做出了最多的人员调整和广告更改。适应性和灵活性可以预测绩效,其结果支持专业知识的适应性/灵活性理论。这项研究显示了专业知识对解决复杂问题的影响,以及解决动态业务问题时灵活性的重要性。复杂的业务模拟不仅是用于研究的有用工具,而且还可以用作培训计划的工具,以教授决策和解决问题的策略。

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