We’re only human - An exploratory study of biases and strategic problem formulation performance

References

• Adams, M. J., Tenney, Y. J., & Pew, R. W. (1995). Situation awareness and the cognitive management of complex systems. Human Factors: The Journal of the Human Factors & Ergonomics Society, 37(1), 85–104. https://doi.org/10.1518/001872095779049462
   Web of Science ®Google Scholar
• Ahuja, G., Lampert, C. M., & Novelli, E. (2013). The second face of appropriability: Generative appropriability and its determinants. Academy of Management, 38(2), 248–269. https://doi.org/10.5465/amr.2010.0290
   Google Scholar
• Amabile, T. M. (1988). Creativity in context. Westview.
   Google Scholar
• Amit, R., & Zott, C. (2001). Value creation in E-business. Strategic Management Journal, 22(6–7), 493–520. https://doi.org/10.1002/smj.187
   Web of Science ®Google Scholar
• Anderson, C. J., Glassman, M., McAfee, R. B., & Pinelli, T. (2001). An investigation of factors affecting how engineers and scientists seek information. Journal of Engineering and Technology Management, 18(2), 131–155. https://doi.org/10.1016/S0923-47480100032-7
   Web of Science ®Google Scholar
• Baer, M., Dirks, K. T., & Nickerson, J. A. (2013). Microfoundations of strategic problem formulation. Strategic Management Journal, 34(2), 197–214. https://doi.org/10.1002/smj.2004
   Web of Science ®Google Scholar
• Banerjee, S., Pillai, R. G., Jones, J. M., Hung, K. T., & Tangpong, C. (2019). The dark side of power in innovation adoption. Journal of Managerial Issues, 31(4), 388–353.
   Google Scholar
• Barnes, J. H., Jr. (1984). Cognitive biases and their impact on strategic planning. Strategic Management Journal, 5(2), 129–137.
   Web of Science ®Google Scholar
• Becker, M. C., Salvatore, P., & Zirpoli, F. (2005). The impact of virtual simulation tools on problem-solving and new product development organization. Research Policy, 34(9), 1305–1321. https://doi.org/10.1016/j.respol.2005.03.016
   Web of Science ®Google Scholar
• Bhardwaj, G., Crocker, A., Sims, J., & Wang, R. D. (2018). Alleviating the plunging-in bias, elevating strategic problem-solving. Academy of Management Learning & Education, 17(3), 279–301. https://doi.org/10.5465/amle.2017.0168
   Web of Science ®Google Scholar
• Björkdahl, J., & Holmén, M. (2016). Innovation audits by means of formulating problems. R&D Management, 46(5), 842–856. https://doi.org/10.1111/radm.12133
   Web of Science ®Google Scholar
• Borchardt, W., Kamzabek, T., & Lovallo, D. (2022). Behavioral strategy in the wild. Management Research Review, 45(9), 1185–1204. https://doi.org/10.1108/MRR-12-2021-0876
   Web of Science ®Google Scholar
• Brusoni, S. (2005). The limits to specialization: Problem solving and coordination in ‘modular networks’. Organization Studies, 26(12), 1885–1907. https://doi.org/10.1177/0170840605059161
   Web of Science ®Google Scholar
• Carley, K. M., & Lin, Z. (1997). A theoretical study of organizational performance under information distortion. Management Science, 43(7), 976–997. https://doi.org/10.1287/mnsc.43.7.976
   Web of Science ®Google Scholar
• Clegg, S. R., Courpasson, D., & Phillips, N. (2006). Power and organizations. Pine Forge Press. https://doi.org/10.4135/9781446215715
   Google Scholar
• Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Routledge.
   Google Scholar
• Cowan, D. A. (1986). Developing a process model of problem recognition. The Academy of Management Review, 11(4), 763–776. https://doi.org/10.2307/258395
   Web of Science ®Google Scholar
• Curley, S. P., Yates, J. F., & Abrams, R. A. (1986). Psychological sources of ambiguity avoidance. Organizational Behavior and Human Decision Processes, 38(2), 230–256. https://doi.org/10.1016/0749-59788690018-X
   Web of Science ®Google Scholar
• Cyert, R. M., & March, J. G. (1992). A behavioral theory of the firm. Prentice Hall.
   Google Scholar
• Deichmann, D., Moser, C., & van den Ende, J. (2021). Talk, talk, talk: Exploring idea conversations and the micro-level foundations of knowledge sharing for innovation. Innovation: Organization and Management, 23(3), 287–313. https://doi.org/10.1080/14479338.2020.1763177
   Web of Science ®Google Scholar
• DiMaggio, P., & Powell, W. (1983). The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields. American Sociological Review, 48(2), 147–160. https://doi.org/10.2307/2095101
   Web of Science ®Google Scholar
• Erez, M., Lisak, A., & Harush, R. (2019). The leadership role in creative problem-solving and innovation. In Creativity and innovation in organizations (pp. 191–218). Routledge.
   Google Scholar
• Faems, D. (2020). Moving forward quantitative research on innovation management: A call for an inductive turn on using and presenting quantitative research. R&D Management, 50(3), 352–363. https://doi.org/10.1111/radm.12406
   Web of Science ®Google Scholar
• Felin, T., & Zenger, T. R. (2014). Closed or open innovation? Problem solving and the governance choice. Research Policy, 43(5), 914–925. https://doi.org/10.1016/j.respol.2013.09.006
   Web of Science ®Google Scholar
• Franke, N., & Shah, S. (2003). How communities support innovative activities: An exploration of assistance and sharing among end-users. Research Policy, 32(1), 157–178. https://doi.org/10.1016/S0048-73330200006-9
   Web of Science ®Google Scholar
• Grass, A., Backmann, J., & Hoegl, M. (2020). From empowerment dynamics to team adaptability—Exploring and conceptualizing the continuous Agile team innovation process. Journal of Product Innovation Management, 37(4), 324–351. https://doi.org/10.1111/jpim.12525
   Web of Science ®Google Scholar
• Heiman, B., Nickerson, J., & Zenger, T. (2009). Governing knowledge creation: A problem-finding and problem-solving perspective. In N. J. Foss & S. Michailova (Eds.), Governing knowledge: Processes and perspectives (pp. 25–47). Oxford University Press. https://doi.org/10.1093/acprof:oso/9780199235926.003.0002
   Google Scholar
• Hodgkinson, G. P., & Sadler-Smith, E. (2018). The dynamics of intuition and analysis in managerial and organizational decision making. Academy of Management Perspectives, 32(4), 473–492. https://doi.org/10.5465/amp.2016.0140
   Web of Science ®Google Scholar
• Hofstede, G. (1991). Cultures and organizations: Software of the mind. McGraw-Hill. see also Hofstede, Geert. Cultural Dimensions. http://www.geert-hofstede.com/hofstede_dimensions.shtml
   Google Scholar
• Hookway, S., Johansson, M. F., Svensson, A., & Heiden, B. (2019). The problem with problems: Reframing and cognitive bias in healthcare innovation. Design Journal, 22(1), 553–574. https://doi.org/10.1080/14606925.2019.1595438
   Google Scholar
• Hurmelinna-Laukkanen, P., & Heiman, B. (2012). Finding the right problems to solve: Value creation unpacked. Baltic Journal of Management, 7(3), 238–250. https://doi.org/10.1108/17465261211245436
   Web of Science ®Google Scholar
• Hurmelinna-Laukkanen, P., & Olander, H. (2014). Coping with rivals’ absorptive capacity in innovation activities. Technovation, 34(1), 3–11. https://doi.org/10.1016/j.technovation.2013.07.005
   Web of Science ®Google Scholar
• Jaruzelski, B., & Holman, R. (2011, March/April). Casting a wide net: Building the capabilities for open innovation. Ivey Business Journal. https://iveybusinessjournal.com/publication/casting-a-wide-net-building-the-capabilities-for-open-innovation/
   Google Scholar
• Karam, C. M., & Ralston, D. A. (2016). A failure before analysis: The soup to nuts of preparing for multicountry analyses. Cross Cultural & Strategic Management, 23(4), 590–612. https://doi.org/10.1108/CCSM-05-2016-0105
   Web of Science ®Google Scholar
• Kiesler, S., & Sproull, L. (1982). Managerial response to changing environments: Perspectives on problem sensing from social cognition. Administrative Science Quarterly, 27(4), 548–570. https://doi.org/10.2307/2392530
   Web of Science ®Google Scholar
• Korte, R. F. (2003). Biases in decision making and implications for human resource development. Advances in Developing Human Resources, 5(4), 440–457. https://doi.org/10.1177/1523422303257287
   Google Scholar
• Leiblein, M. J., & Macher, J. T. (2009). The problem solving perspective: A strategic approach to understanding environment and organization. Advances in Strategic Management, 26, 97–120. https://doi.org/10.1108/S0742-3322(2009)0000026006
   Web of Science ®Google Scholar
• Litchfield, R. C., & Gentry, R. J. (2010). Perspective-taking as an organizational capability. Strategic Organization, 8(3), 187–205. https://doi.org/10.1177/1476127010374249
   Web of Science ®Google Scholar
• Lyles, M. (1987). Defining strategic problems: Subjective criteria of executives. Organization Studies, 8(3), 263–280. https://doi.org/10.1177/017084068700800304
   Web of Science ®Google Scholar
• Lyles, M. (2014). Organizational learning, knowledge creation, problem formulation and innovation in messy problems. European Management Journal, 32(1), 132–136. https://doi.org/10.1016/j.emj.2013.05.003
   Web of Science ®Google Scholar
• Lyles, M. A., & Mitroff, I. I. (1980). Organizational problem formulation: An empirical study. Administrative Science Quarterly, 25(1), 102–119. https://doi.org/10.2307/2392229
   Web of Science ®Google Scholar
• Macher, J. T. (2006). Technological development and the boundaries of the firm: A knowledge-based examination in semiconductor manufacturing. Management Science, 52(6), 826–843. https://doi.org/10.1287/mnsc.1060.0511
   Web of Science ®Google Scholar
• Martins, L. L., & Sohn, W. (2022). How does diversity affect team cognitive processes? Understanding the cognitive pathways underlying the diversity dividend in teams. Academy of Management Annals, 16(1), 134–178. https://doi.org/10.5465/annals.2019.0109
   Web of Science ®Google Scholar
• Mohaghegh, M., & Furlan, A. (2020). Systematic problem-solving and its antecedents: A synthesis of the literature. Management Research Review, 43(9), 1033–1062. https://doi.org/10.1108/MRR-06-2019-0284
   Web of Science ®Google Scholar
• Mohaghegh, M., & Größler, A. (2020). The dynamics of operational problem-solving: A dual-process approach. Systemic Practice and Action Research, 33(1), 27–54. https://doi.org/10.1007/s11213-019-09513-9
   Web of Science ®Google Scholar
• Montibeller, G., & Von Winterfeldt, D. (2015). Cognitive and motivational biases in decision and risk analysis. Risk Analysis, 35(7), 1230–1251. https://doi.org/10.1111/risa.12360
   PubMed Web of Science ®Google Scholar
• Morais-Storz, M., Sætre, A. S., & Edmondson, A. C. (2019, July). Unpacking strategic problem formulation in top management teams. Academy of Management Proceedings, 2019(1), 16700. Briarcliff Manor, NY 10510: Academy of Management. https://doi.org/10.5465/AMBPP.2019.16700abstract
   Google Scholar
• Mumford, M. D., Blair, C., Dailey, L., Leritz, L. E., & Osburn, H. K. (2006). Errors in creative thought? Cognitive biases in a complex processing activity. The Journal of Creative Behavior, 40(2), 75–109. https://doi.org/10.1002/j.2162-6057.2006.tb01267.x
   Web of Science ®Google Scholar
• Nelson, R. R., & Winter, S. G. (1982). An evolutionary theory of economic change. Belknap Press.
   Google Scholar
• Nickerson, J., & Argyres, N. (2018). Strategizing before strategic decision making. Strategy Science, 3(4), 592–605. https://doi.org/10.1287/stsc.2018.0066
   Web of Science ®Google Scholar
• Nickerson, J. A., Silverman, B. S., & Zenger, T. R. (2007). The ‘problem’ of creating and capturing value. Strategic Organization, 5(3), 211–225. https://doi.org/10.1177/1476127007079969
   Web of Science ®Google Scholar
• Nickerson, J. A., Wuebker, R., & Zenger, T. (2017). Problems, theories, and governing the crowd. Strategic Organization, 15(2), 275–288. https://doi.org/10.1177/1476127016649943
   Web of Science ®Google Scholar
• Nickerson, J., Yen, C. J., & Mahoney, J. T. (2012). Exploring the problem-finding and problem-solving approach for designing organizations. Academy of Management Perspectives, 26(1), 52–72. https://doi.org/10.5465/amp.2011.0106
   Web of Science ®Google Scholar
• Nickerson, J. A., & Zenger, T. R. (2004). A knowledge-based theory of the firm—The problem-solving perspective. Organization Science, 15(6), 617–632. https://doi.org/10.1287/orsc.1040.0093
   Web of Science ®Google Scholar
• Nutt, P. C. (2002). Why decisions fail: Avoiding the blunders and traps that lead to debacles. Berrett-Koehler.
   Google Scholar
• Ocasio, W. (2011). Attention to attention. Organization Science, 22(5), 1286–1296. https://doi.org/10.1287/orsc.1100.0602
   Web of Science ®Google Scholar
• Olander, H., & Hurmelinna-Laukkanen, P. (2010). The effects of HRM-related mechanisms on communication in R&D collaboration. International Journal of Innovation Management, 14(3), 415–433. https://doi.org/10.1142/S1363919610002714
   Google Scholar
• Payne, S. L. (2006). The ethical intention and prediction matrix: Reducing perceptual and cognitive biases for learning. Journal of Management Education, 30(1), 177–194. https://doi.org/10.1177/1052562905280843
   Google Scholar
• Peña, I. (2002). Intellectual capital and business start-up success. Journal of Intellectual Capital, 3(2), 180–198. https://doi.org/10.1108/14691930210424761
   Google Scholar
• Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879
   PubMed Web of Science ®Google Scholar
• Pounds, W. F. (1969). The process of problem finding. Industrial Management Review, 11(1), 1–19.
   Web of Science ®Google Scholar
• Ramaprasad, A., & Mitroff, I. I. (1984). On formulating strategic problems. The Academy of Management Review, 9(4), 597–605. https://doi.org/10.2307/258483
   Web of Science ®Google Scholar
• Ritala, P., Heiman, B., & Hurmelinna-Laukkanen, P. (2016). The need for speed—unfamiliar problems, capability rigidity, and ad hoc processes in organizations. Industrial and Corporate Change, 25(5), 757–777. https://doi.org/10.1093/icc/dtw028
   Web of Science ®Google Scholar
• Russo, J. E., Carlson, K. A., Meloy, M. G., & Yong, K. (2008). The goal of consistency as a cause of information distortion. Journal of Experimental Psychology, 137(3), 456–470. https://doi.org/10.1037/a0012786
   Google Scholar
• Russo, J. E., Medvec, V. H., & Meloy, M. G. (1996). The distortion of information during decisions. Organizational Behavior and Human Decision Processes, 66(1), 102–110. https://doi.org/10.1006/obhd.1996.0041
   Web of Science ®Google Scholar
• Sakakibara, S., Flynn, B. B., & Schroeder, R. G. (1993). A framework and measurement instrument for just‐in‐time manufacturing. Production and Operations Management, 2(3), 177–194. https://doi.org/10.1111/j.1937-5956.1993.tb00097.x
   Google Scholar
• Simon, H. A. (1973). The structure of ill structured problems. Artificial Intelligence, 4(3–4), 181–201. https://doi.org/10.1016/0004-37027390011-8
   Web of Science ®Google Scholar
• Smith, C. M., & Shaw, D. (2019). The characteristics of problem structuring methods: A literature review. European Journal of Operational Research, 274(2), 403–416. https://doi.org/10.1016/j.ejor.2018.05.003
   Web of Science ®Google Scholar
• Soda, G., & Bizzi, L. (2012). Think different? An investigation of network antecedents and performance consequences of creativity as deviation. Strategic Organization, 10(2), 99–127. https://doi.org/10.1177/1476127012442852
   Web of Science ®Google Scholar
• Tabesh, P. (2021). Who’s making the decisions? How managers can harness artificial intelligence and remain in charge. Journal of Business Strategy, 43(6), 373–380. https://doi.org/10.1108/JBS-05-2021-0090
   Google Scholar
• Terwiesch, C. (2008). Product development as a problem-solving process. In S. Shane (Ed.), Handbook of technology and innovation management (pp. 143–171). John Wiley & Sons.
   Google Scholar
• Thrane, S., Blaabjerg, S., & Møller, R. H. (2010). Innovative path dependence: Making sense of product and service innovation in path dependent innovation processes. Research Policy, 39(7), 932–944. https://doi.org/10.1016/j.respol.2010.04.003
   Web of Science ®Google Scholar
• Todorova, G., & Durisin, B. (2007). Absorptive capacity: Valuing a reconceptualization. Academy of Management Review, 32(3), 774–786. https://doi.org/10.5465/amr.2007.25275513
   Web of Science ®Google Scholar
• Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases: Biases in judgments reveal some heuristics of thinking under uncertainty. Science: Advanced Materials and Devices, 185(4157), 1124–1131. https://doi.org/10.1126/science.185.4157.1124
   Google Scholar
• Van Knippenberg, D., Dahlander, L., Haas, M. R., & George, G. (2015). Information, attention, and decision making. Academy of Management Journal, 58(3), 649–657. https://doi.org/10.5465/amj.2015.4003
   Web of Science ®Google Scholar
• Vidal, J. B. I., & Möller, M. (2007). When should leaders share information with their subordinates? Journal of Economics & Management Strategy, 16(2), 251–283. https://doi.org/10.1111/j.1530-9134.2007.00139.x
   Web of Science ®Google Scholar
• Volkema, R. J. (1986). Problem formulation as a purposive activity. Strategic Management Journal, 7(3), 267–279. https://doi.org/10.1002/smj.4250070307
   Web of Science ®Google Scholar
• Von Hippel, E., & Tyre, M. J. (1995). How learning by doing is done: Problem identification in novel process equipment. Research Policy, 24(1), 1–12. https://doi.org/10.1016/0048-73339300747-H
   Web of Science ®Google Scholar
• Von Hippel, E., & Von Krogh, G. (2016). Crossroads—Identifying viable “need–solution pairs”: Problem solving without problem formulation. Organization Science, 27(1), 207–221. https://doi.org/10.1287/orsc.2015.1023
   Web of Science ®Google Scholar
• Williamson, O. E. (1996). The mechanisms of governance. Oxford University Press.
   Google Scholar
• Winter, S. G. (2000). The satisficing principle in capability learning. Strategic Management Journal, 21(10–11), 981–996. https://doi.org/10.1002/1097-0266(200010/11)21:10/11<981:AID-SMJ125>3.0.CO;2-4
   Web of Science ®Google Scholar
• Yang, J., & Hurmelinna-Laukkanen, P. (2022). Evolving appropriability–Variation in the relevance of appropriability mechanisms across industries. Technovation, 118, 102593. https://doi.org/10.1016/j.technovation.2022.102593
   Web of Science ®Google Scholar
• Zander, U., & Kogut, B. (1995). Knowledge and the speed of the transfer and imitation of organizational capabilities: An empirical test. Organization Science, 6(1), 76–92. https://doi.org/10.1287/orsc.6.1.76
   Web of Science ®Google Scholar