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Chapter 6 - Averaging Out Divergent Project Behavior

An Unintended Consequence of Project Structures

from Part II - Deviating from Plans

Published online by Cambridge University Press:  22 November 2025

Lavagnon A. Ika
Affiliation:
University of Ottawa
Jeffrey K. Pinto
Affiliation:
Pennsylvania State University
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Summary

This chapter presents a longitudinal process study of an information systems project and suggests that a hierarchy of sub-projects that belong to the same overall project may trigger unfavorable project behavior. Our findings indicate that project managers run the risk of “balancing” divergent evaluations of sub-projects via an averaging rule, which in turn leads to an overestimation of the overall project performance and consequently negatively impacting project behavior. Based on our case-study findings, we develop a process model explaining the dynamic relationship between hierarchical project structures, managerial decisions, and project behavior. Interestingly, this research shows how hierarchical project structures may hinder rather than support complex task execution, a finding that could help explain the erroneous decision making often observed in troubled projects.

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Publisher: Cambridge University Press
Print publication year: 2025

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References

Allport, G. W. (1954). The nature of prejudice. Addison-Wesley.Google Scholar
Anderson, C., and Brown, C. E. (2010). The functions and dysfunctions of hierarchy. Research in Organizational Behavior, 30, 5589.CrossRefGoogle Scholar
Anheier, H. K. (2016). Of hiding hands and other ways of coping with uncertainty: A commentary. Social Research: An International Quarterly, 83(4), 10051010.10.1353/sor.2016.0064CrossRefGoogle Scholar
Benbya, H., and McKelvey, B. (2006). Toward a complexity theory of information systems development. Information Technology & People, 19(1), 1234.10.1108/09593840610649952CrossRefGoogle Scholar
Bendoly, E., and Swink, M. (2007). Moderating effects of information access on project management behavior, performance and perceptions. Journal of Operations Management, 25(3), 604622.10.1016/j.jom.2006.02.009CrossRefGoogle Scholar
Bowker, G. C., and Star, S.L. (1999). Sorting things out: Classification and its consequences. MIT Press.10.7551/mitpress/6352.001.0001CrossRefGoogle Scholar
Brough, A. R., and Chernev, A. (2012). When opposites detract: Categorical reasoning and subtractive valuations of product combinations. Journal of Consumer Research, 39(2), 399414.10.1086/663773CrossRefGoogle Scholar
Bunderson, J. S., Van der Vegt, G. S., Cantimur, Y., and Rink, F. (2016). Different views of hierarchy and why they matter: Hierarchy as inequality or as cascading influence. Academy of Management Journal, 59(4), 12651289.10.5465/amj.2014.0601CrossRefGoogle Scholar
Cheng, J. L. C. (1984). Organizational coordination, uncertainty, and performance – an integrative study. Human Relations, 37(10), 829851.10.1177/001872678403701004CrossRefGoogle Scholar
Chernev, A., and Gal, D. (2010). Categorization effects in value judgments: Averaging bias in evaluating combinations of vices and virtues. Journal of Marketing Research, 47(4), 738747.10.1509/jmkr.47.4.738CrossRefGoogle Scholar
Christensen, M., and Knudsen, T. (2010). Design of decision-making organizations. Management Science, 56(1), 7189.10.1287/mnsc.1090.1096CrossRefGoogle Scholar
Cyert, R. M., and March, J. G. (1963). A behavioral theory of the firm. Prentice Hall.Google Scholar
Dilts, D. M. and Pence, K. R. (2006). Impact of role in the decision to fail: An exploratory study of terminated projects. Journal of Operations Management, 24, 378396.10.1016/j.jom.2004.12.001CrossRefGoogle Scholar
Drach-Zahavy, A., and Somech, A. (1999). Constructive thinking: A complex coping variable that distinctively influences the effectiveness of specific difficult goals. Personality and Individual Differences, 27(5), 969984.10.1016/S0191-8869(99)00041-0CrossRefGoogle Scholar
Engwall, M., and Westling, G. (2004). Peripety in an R&D drama: Capturing a turnaround in project dynamics. Organization Studies, 25(9), 15571578.10.1177/0170840604048000CrossRefGoogle Scholar
Ethiraj, S. K., and Levinthal, D. (2004a). Bounded rationality and the search for organizational architecture: An evolutionary perspective on the design of organizations and their evolvability. Administrative Science Quarterly, 49(3), 404437.10.2307/4131441CrossRefGoogle Scholar
Ethiraj, S. K., and Levinthal, D. (2004b). Modularity and innovation in complex systems. Management Science, 50(2), 159173.10.1287/mnsc.1030.0145CrossRefGoogle Scholar
Ewusi-Mensah, K., and Przasnyski, Z. H. (1991). On information systems project abandonment: An exploratory study of organizational practices. MIS Quarterly, 15(2), 6780.10.2307/249437CrossRefGoogle Scholar
Fenton-O’Creevy, M., Soane, E., Nicholson, N., and Willman, P. (2011). Thinking, feeling and deciding: The influence of emotions on the decision making and performance of traders. Journal of Organizational Behavior, 32(8), 10441061.10.1002/job.720CrossRefGoogle Scholar
Flyvbjerg, B. (2021). Top-ten behavioral biases in project management: An overview. Project Management Journal, 52(6), 531546.10.1177/87569728211049046CrossRefGoogle Scholar
Foss, N. J., and Weber, L. (2016). Moving opportunism to the back seat: Bounded rationality, costly conflict, and hierarchical forms. Academy of Management Journal, 41(1), 6179.Google Scholar
Gaba, V., and Joseph, J. (2013). Corporate structure and performance feedback: Aspirations and adaptation in M-form firms. Organization Science, 24(4), 11021119.10.1287/orsc.1120.0788CrossRefGoogle Scholar
Gibson, C. B., Birkinshaw, J., McDaniel Sumpter, D. and Ambos, T. (2019). The hierarchical erosion effect: A new perspective on perceptual differences and business performance. Journal of Management Studies, 56(8), 17131747.10.1111/joms.12443CrossRefGoogle Scholar
Gigerenzer, G. (2003). Why does framing influence judgment? Journal of General Internal Medicine, 18, 960961.10.1046/j.1525-1497.2003.30901.xCrossRefGoogle ScholarPubMed
Gregory, R. W., Beck, R. and Keil, M. (2013). Control balancing in information systems development offshoring projects. MIS Quarterly, 37(4), 12111232.10.25300/MISQ/2013/37.4.10CrossRefGoogle Scholar
Hirschman, A. O. (1967). Development projects observed. Brookings Institution.Google Scholar
Hoegl, M. (2005). Smaller teams – better teamwork: How to keep project teams small. Business Horizons, 48(3), 209214.10.1016/j.bushor.2004.10.013CrossRefGoogle Scholar
Hoegl, M., Weinkauf, K., and Gemuenden, H. G. (2004). Interteam coordination, project commitment, and teamwork in multiteam R&D projects: A longitudinal study. Organization Science, 15(1), 3855.CrossRefGoogle Scholar
Holmgren, M., Andersson, H., and Sörqvist, P. (2018). Averaging bias in environmental impact estimates: Evidence from the negative footprint illusion. Journal of Environmental Psychology, 55, 4852.10.1016/j.jenvp.2017.12.005CrossRefGoogle Scholar
Ika, L. A., Love, P. E. D., and Pinto, J. K. (2022). Moving beyond the planning fallacy: The emergence of a new principle of project behavior. IEEE Transactions on Engineering Management, 69(6), 33103325.10.1109/TEM.2020.3040526CrossRefGoogle Scholar
Ingvaldsen, J. A., and Rolfsen, M. (2012). Autonomous work groups and the challenge of inter-group coordination. Human Relations, 65(7), 861881.10.1177/0018726712448203CrossRefGoogle Scholar
Jacobides, M. G. (2007). The inherent limits of organizational structure and the unfulfilled role of hierarchy: Lessons from a near-war. Organization Science, 18(3), 455477.10.1287/orsc.1070.0278CrossRefGoogle Scholar
Kappelman, L., McKeeman, R., and Zhang, L. (2006). Early warning signs of IT project failure: The dominant dozen. Information Systems Management, 23(4), 3136.10.1201/1078.10580530/46352.23.4.20060901/95110.4CrossRefGoogle Scholar
Keil, M., and Mähring, M. (2010). Is your IT project turning into a black hole? California Management Review, 53(1), 631.10.1525/cmr.2010.53.1.6CrossRefGoogle Scholar
Keren, M., and Levhari, D. (1979). The optimum span of control in a pure hierarchy. Management Science, 25(11), 11621172.10.1287/mnsc.25.11.1162CrossRefGoogle Scholar
Keum, D. D., and See, K. E. (2017). The influence of hierarchy on idea generation and selection in the innovation process. Organization Science, 28(4), 653669.10.1287/orsc.2017.1142CrossRefGoogle Scholar
Langley, A. (1999). Strategies for theorizing from process data. The Academy of Management Review, 24(4), 691710.10.2307/259349CrossRefGoogle Scholar
Lindebaum, D.a, nd Fielden, S. L. (2011). ‘It’s good to be angry’: Enacting anger in construction project management to achieve perceived leader effectiveness. Human Relations, 64(3), 437458.10.1177/0018726710381149CrossRefGoogle Scholar
Macrae, C. N., and Bodenhausen, G. V. (2000). Social cognition: Thinking categorically about others. Annual Review of Psychology, 51, 93120.10.1146/annurev.psych.51.1.93CrossRefGoogle ScholarPubMed
Mähring, M., and Keil, M. (2008). Information technology project escalation: A process model. Decision Sciences, 39(2), 239272.10.1111/j.1540-5915.2008.00191.xCrossRefGoogle Scholar
Mihm, J., Loch, C. H., Wilkinson, D., and Huberman, B. A. (2010). Hierarchical structure and search in complex organizations. Management Science, 56(5), 831848.10.1287/mnsc.1100.1148CrossRefGoogle Scholar
Miles, M. B., and Huberman, M. (1994). Qualitative data analysis: A sourcebook of new methods. 2nd ed. Sage.Google Scholar
Nelson, R. (2007). IT project management: Infamous failures, classic mistakes and best practices. MIS Quarterly Executive, 6(2), 6778.Google Scholar
PRINCE2. (2023). Projects versus programmes. www.prince2.com/eur/blog/project-vs-programme.Google Scholar
Radner, R. (1992). Hierarchy: The economics of managing. Journal of Economic Literature, 30(3), 13821415.Google Scholar
Rhee, L., Ocasio, W., and Kim, T.-H. (2019). Performance feedback in hierarchical business groups: The cross-level effects of cognitive accessibility on R&D search behavior. Organization Science, 30(1), 5169.CrossRefGoogle Scholar
Sadler-Smith, E., and Shefy, E. (2004). The intuitive executive: Understanding and applying ‘gut feel’ in decision-making. Academy of Management Executive, 18(4), 7691.Google Scholar
Seo, M. G., and Barrett, L. F. (2007). Being emotional during decision making – good or bad? An empirical investigation. Academy of Management Journal, 50(4), 923940.10.5465/amj.2007.26279217CrossRefGoogle ScholarPubMed
Simon, H. A. (1962). The architecture of complexity. Proceedings of the American Philosophical Society, 106(6), 467482.Google Scholar
Sleesman, D. J., Conlon, D. E., McNamara, G., and Miles, J. E. (2012). Cleaning up the big muddy: A meta-analytic review of the determinants of escalation of commitment. Academy of Management Journal, 55(3), 541562.10.5465/amj.2010.0696CrossRefGoogle Scholar
Smith, R. P., and Eppinger, S. D. (1997). Identifying controlling features of engineering design iteration. Management Science, 43(3), 276293.10.1287/mnsc.43.3.276CrossRefGoogle Scholar
Sosa, M. E., Eppinger, S. D., and Rowles, C. (2004). The misalignment of product architecture and organizational structure in complex product development. Management Science, 50(12), 16741689.10.1287/mnsc.1040.0289CrossRefGoogle Scholar
Sterman, J. D. (2000). Business dynamics: Systems thinking and modeling for a complex world. Irwin McGraw-Hill.Google Scholar
Storbeck, J., and Clore, G. L. (2005). With sadness comes accuracy; with happiness, false memory: Mood and the false memory effect. Psychological Science, 16(10), 785791.10.1111/j.1467-9280.2005.01615.xCrossRefGoogle ScholarPubMed
Thompson, M., and Wildavsky, A. (1986). A cultural theory of information bias in organizations. Journal of Management Studies, 23(3), 273286.10.1111/j.1467-6486.1986.tb00954.xCrossRefGoogle Scholar
Tushman, M. L. (1978). Technical communication in R&D laboratories: The impact of project work characteristics. Academy of Management Journal, 21(4), 624645.10.2307/255704CrossRefGoogle Scholar
Tushman, M. L., and Nadler, D. A. (1978). Information processing as an integrating concept in organizational design. Academy of Management Review, 3(3), 613624.10.2307/257550CrossRefGoogle Scholar
Tversky, A., and Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185(4157), 11241131.10.1126/science.185.4157.1124CrossRefGoogle ScholarPubMed
Unterhitzenberger, C. (2021). Special issue on project behavior. Project Management Journal, 52(6), 527530.10.1177/87569728211054716CrossRefGoogle Scholar
Van de Ven, A. (2007). Engaged scholarship: A guide for organizational and social research. Oxford University Press.10.1093/oso/9780199226290.001.0001CrossRefGoogle Scholar
Van Oorschot, K. E., Akkermans, H., Sengupta, K., and Van Wassenhove, L. N. (2013). Anatomy of a decision trap in complex new product development projects. Academy of Management Journal, 56(1), 285307.10.5465/amj.2010.0742CrossRefGoogle Scholar
Visser, B. (2000). Organizational communication structure and performance. Journal of Economic Behavior and Organization, 42(2), 231252.10.1016/S0167-2681(00)00087-1CrossRefGoogle Scholar
von Hippel, E. (1994). “Sticky information” and the locus of problem solving: Implications for innovation. Management Science, 40(4), 429439.10.1287/mnsc.40.4.429CrossRefGoogle Scholar
Zhou, Y. M. (2013). Designing for complexity: Using divisions and hierarchy to manage complex tasks. Organization Science, 24(2), 339355.10.1287/orsc.1120.0744CrossRefGoogle Scholar

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