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GONG Stephen, XU Hongjia
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DOI:10.17265/2328-2185/2026.05.003
Xi’an Jiaotong-Liverpool University, Suzhou, China
This study examines the occurrence of cognitive biases in the operational decision-making of micro-enterprises using a comparative experiment. By comparing and analysing the operational “footprints” of two technologically matched vending machines, one managed by human intuition and the other by a simple, deterministic set of rules, we identify fundamentally distinct behavioural archetypes in decision-making. The human-managed case exhibited patterns of anchored adjustment, situational filtering, and outcome-sensitive volatile learning. In contrast, the rule-managed case demonstrated mechanical rigidity and contextual blindness, but also remarkable stability. The systematic divergence in their operational pathways, particularly in response to predictable events, provides process-based evidence that cognitive biases are not merely statistical correlates, but actual enacting and structuring forces that can lead to decision inefficiencies over time. We conclude that for micro-enterprises, improving decision quality may depend less on acquiring more data and more on structuring decision processes to mitigate the inherent instability of intuitive judgment.
managerial cognitive biases, micro-enterprises, qualitative experiment, operations management, decision archetypes
GONG Stephen, XU Hongjia. (2026). A Comparative Qualitative Analysis of Managerial Cognitive Biases and Decision Inefficiency in Micro-enterprises: Evidence From a Process-Oriented Experiment. Management Studies, Vol. 14, No. 5, 275-289. doi: 10.17265/2328-2185/2026.05.003.
Acciarini, C., Brunetta, F., & Boccardelli, P. (2021). Cognitive biases and decision-making strategies in times of change: A systematic literature review. Management Research Review, 44(2), 270-292.
Artinger, F., Petersen, M., Gigerenzer, G., & Weibler, J. (2015). Heuristics as adaptive decision strategies in management. Journal of Management, 41(2), 399-423.
Baker, H. K., & Nofsinger, J. R. (Eds.). (2010). Behavioral finance: Investors, corporations, and markets. Hoboken: Wiley.
Baker, H. K., & Ricciardi, V. (2014). How biases affect investor behaviour. The European Financial Review, 2014, 18-22.
Baker, M., & Wurgler, J. (2013). Behavioral corporate finance: An updated survey. In G. M. Constantinides, M. Harris, and R. M. Stulz (Eds.), Handbook of the economics of finance (Vol. 2, pp. 357-424). Oxford: Elsevier.
Barberis, N., & Thaler, R. (2003). A survey of behavioral finance. In G. M. Constantinides, M. Harris, and R. M. Stulz (Eds.), Handbook of the economics of finance (Vol. 1, pp. 1053-1128). Oxford: Elsevier.
Benayad, K., & Aasri, M. R. (2023). Behavioral biases and investment decisions of SMEs managers: Empirical analysis within the moroccan context. International Journal of Financial Studies, 11(4), 120. Retrieved from https://doi.org/10.3390/ijfs11040120
Bendoly, E., Donohue, K., & Schultz, K. L. (2006). Behavior in operations management: Assessing recent findings and revisiting old assumptions. Journal of Operations Management, 24(6), 737-752.
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101. Retrieved from https://doi.org/10.1191/1478088706qp063oa
Busenitz, L. W., & Barney, J. B. (1997). Differences between entrepreneurs and managers in large organizations: Biases and heuristics in strategic decision-making. Journal of Business Venturing, 12(1), 9-30.
Calcagnini, G., & Favaretto, I. (Eds.). (2011). The economics of small businesses: An international perspective. Heidelberg: Physica-Verlag.
Camerer, C., & Lovallo, D. (1999). Overconfidence and excess entry: An experimental approach. American Economic Review, 89(1), 306-318.
Chen, T., & Yang, H. (2021). Machine learning for demand forecasting in retail: A review and future directions. Journal of Operations Management, 67(3), 345-362.
Cowen, A. S., & Keltner, D. (2017). Self-report captures 27 distinct categories of emotion bridged by continuous gradients. Proceedings of the National Academy of Sciences, 114(38), E7900-E7909.
Csaszar, F. A., & Steinberger, T. (2022). Organizations as information processors: Investment in information systems and decision-making performance. Organization Science, 33(1), 170-189.
Cyert, R. M., & March, J. G. (1963). A behavioral theory of the firm. Hoboken: Prentice-Hall.
DellaVigna, S. (2009). Psychology and economics: Evidence from the field. Journal of Economic Literature, 47(2), 315-372.
Forbes, D. P. (2005). Are some entrepreneurs more overconfident than others? Journal of Business Venturing, 20(5), 623-640.
Gilovich, T., Griffin, D., & Kahneman, D. (Eds.). (2002). Heuristics and biases: The psychology of intuitive judgment. Cambridge: Cambridge University Press.
Glaser, B. G., & Strauss, A. L. (1967). The discovery of grounded theory: Strategies for qualitative research. Venice: Aldine.
Hartoto, Y., Setyawan, A. A., & Nurdin, N. (2024). The impact of behavioral biases on investment bias: An empirical study on MSMEs in Indonesia. Journal of Small Business Strategy, 34(1), 45-60.
Heaton, J. B. (2002). Managerial optimism and corporate finance. Financial Management, 31(2), 33-45.
Jensen, M. C., & Meckling, W. H. (1976). Theory of the firm: Managerial behavior, agency costs and ownership structure. Journal of Financial Economics, 3(4), 305-360.
Jiang, X. Z. (2024). A study on the impact of executives’ cognitive biases on corporate innovation: From the perspective of behavioral finance (in Chinese). Beijing, China: China Financial Publishing House.
Kahneman, D. (2011). Thinking, fast and slow. New York: Farrar, Straus and Giroux.
Kahneman, D., & Lovallo, D. (1993). Timid choices and bold forecasts: A cognitive perspective on risk taking. Management Science, 39(1), 17-31.
Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263-291.
Kahneman, D., Knetsch, J. L., & Thaler, R. H. (1991). Anomalies: The endowment effect, loss aversion, and status quo bias. Journal of Economic Perspectives, 5(1), 193-206.
Krippendorff, K. (2018). Content analysis: An introduction to its methodology (4th ed.). London: Sage.
Lai, D. (2024). Research on the impact of managers’ cognitive biases on debt financing risk in SMEs (in Chinese). Nankai Business Review, 27(1), 112-124.
Li, J., Zhang, Y., & Wang, L. (2024). Construction and optimization of vending machine decision support system based on improved C4.5 decision tree. Journal of Retailing and Consumer Services, 76, 103567. Retrieved from https://doi.org/10.1016/j.heliyon.2024.e25024
Lichtenstein, S., Fischhoff, B., & Phillips, L. D. (1982). Calibration of probabilities: The state of the art to 1980. In D. Kahneman, P. Slovic, and A. Tversky (Eds.), Judgment under uncertainty: Heuristics and biases (pp. 306-334). Cambridge: Cambridge University Press.
Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. London: Sage.
Liu, X., & Xu, Z. H. (2022). Cognitive bias and inefficient investment in family business succession: An empirical study (in Chinese). Journal of Management Engineering, 36(3), 88-101.
Malmendier, U., & Tate, G. (2005). CEO overconfidence and corporate investment. The Journal of Finance, 60(6), 2661-2700.
Malmendier, U., & Tate, G. (2015). Behavioral CEOs: The role of managerial overconfidence. Journal of Economic Perspectives, 29(4), 37-60.
Moore, D. A., & Healy, P. J. (2008). The trouble with overconfidence. Psychological Review, 115(2), 502-517.
O’Brien, J. P. (2003). The capital budgeting decisions of small businesses. Journal of Applied Finance, 13(2), 45-56.
Powell, T. C., Lovallo, D., & Fox, C. R. (2011). Behavioral strategy. Strategic Management Journal, 32(13), 1369-1386. DOI:10.1002/smj.968
Project Management Institute. (2021). A guide to the project management body of knowledge (PMBOK® guide) (7th ed.).
Radicic, D., & Pugh, G. (2017). Performance effects of external search strategies in European small and medium-sized enterprises. Journal of Small Business Management, 55(Sup. 1), 76-114. Retrieved from https://doi.org/10.1111/jsbm.12328
Schumacher, C., Keck, S., & Tang, W. (2020). Managerial overconfidence and corporate risk-taking: A meta-analysis. Journal of Behavioral and Experimental Finance, 27, 100353. Retrieved from https://doi.org/10.1177/01492063221110203
Shefrin, H. (2018). Behavioral corporate finance. New York: McGraw-Hill Education.
Silver, E. A., Pyke, D. F., & Peterson, R. (2017). Inventory and production management in supply chains (4th ed.). Boca Raton: CRC Press.
Simon, H. A. (1955). A behavioral model of rational choice. The Quarterly Journal of Economics, 69(1), 99-118.
Stam, E., & Van Stel, A. (2011). Types of entrepreneurship and economic growth. In A. Szirmai, W. Naudé, & M. Goedhuys (Eds.), Entrepreneurship, innovation, and economic development. Oxford: Oxford University Press, pp. 78-95.
Staw, B. M. (1981). The escalation of commitment to a course of action. Academy of Management Review, 6(4), 577-587.
Sterman, J. D. (1989). Misperceptions of feedback in dynamic decision making. Organizational Behavior and Human Decision Processes, 43(3), 301-335.
Storey, D. J. (1994). Understanding the small business sector. London: Routledge.
Syntetos, A. A., Babai, M. Z., & Gardner, E. S. (2016). Behavioral inventory management: A review. European Journal of Operational Research, 248(1), 1-12.
Taura, N., & Radicic, D. (2019). Intra-cluster knowledge exchange and frequency of product innovation in a digital cluster. Journal of Small Business Management, 57(Sup. 2), 350-373. Retrieved from https://doi.org/10.1111/jsbm.12479
Thaler, R. H. (1980). Toward a positive theory of consumer choice. Journal of Economic Behavior & Organization, 1(1), 39-60.
Thaler, R. H. (2015). Misbehaving: The making of behavioral economics. New York: W. W. Norton & Company.
Timmermans, S., & Tavory, I. (2012). Theory construction in qualitative research: From grounded theory to abductive analysis. Sociological Theory, 30(3), 167-186. DOI: 10.1177/0735275112457914
Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185(4157), 1124-1131.
Venkatesh, V., Brown, S. A., & Bala, H. (2013). Moving forward: A mixed methods research in information systems. MIS Quarterly, 37(1), 21-54.
Yin, R. K. (2018). Case study research and applications: Design and methods (6th ed.). London: Sage.
Zheng, Y., Li, J., & Wang, Q. (2025). Exploring the influence of CEO overconfidence on innovation in artificial intelligence technology: A machine learning approach. European Journal of Innovation Management, 28(1), 150-170. Retrieved from https://doi.org/10.1108/EJIM-11-2023-0987




