The Impact of Cognitive Load on Decision-Making Efficiency in Corporate Strategic Planning: A Neuromanagement Perspective

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摘要

Neuromanagement integrates neuroscientific methods (e.g., functional near-infrared spectroscopy, fMRI) with management research to explore the neural mechanisms underlying organizational behaviors. This study focuses on how cognitive load—defined as the mental effort required to process information—influences decision-making efficiency during corporate strategic planning, a high-stakes task involving complex data analysis and multi-option evaluation. Using a mixed-methods approach (neurophysiological measurements and post-task interviews) with 40 mid-to-senior corporate managers, we find that: (1) moderate cognitive load (e.g., analyzing 3–4 strategic alternatives with key performance indicators) enhances decision-making efficiency by activating the prefrontal cortex (PFC)—a brain region linked to goal-directed attention and rational judgment; (2) excessive cognitive load (e.g., processing over 6 alternatives with redundant data) impairs efficiency, as indicated by increased PFC fatigue and reduced activity in the hippocampus (critical for memory integration); (3) managers with prior strategic planning experience exhibit higher neural resilience to cognitive load, showing slower PFC activation decline. These findings provide neurobiological evidence for optimizing strategic planning processes, such as simplifying information presentation and tailoring task complexity to manager experience.

文献引用

• [1]Beer, J. S., & Lombardo, M. V. (2014). Social neuroscience and organizational behavior: An integrative review. Academy of Management Annals, 8(1), 543–581. [2]Buchel, C., Buchel, C., & Frith, C. D. (1999). Brain regions involved in the observation of actions are those involved in the execution of the same actions. Current Biology, 9(16), 908–911. [3]Draganski, B., Gaser, C., Busch, V., Schuierer, G., Bogdahn, U., & May, A. (2004). Neuroplasticity: Changes in grey matter induced by training. Nature, 427(6972), 311–312. [4]Evans, J. S. B. (2008). Dual-processing accounts of reasoning, judgment, and social cognition. Annual Review of Psychology, 59(1), 255–278. [5]Kahneman, D. (2011). Thinking, fast and slow. Farrar, Straus and Giroux. [6]Miller, E. K., & Cohen, J. D. (2001). An integrative theory of prefrontal cortex function. Annual Review of Neuroscience, 24(1), 167–202. [7]Squire, L. R., & Zola, S. M. (1998). Structure and function of declarative and nondeclarative memory systems. Proceedings of the National Academy of Sciences, 95(24), 13515–13522. [8]Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257–285. [9]van der Meer, E., Kroese, M. D., & Sanfey, A. G. (2016). Neural mechanisms of decision making in economic games. Current Opinion in Behavioral Sciences, 10, 137–143.