A Contingency Theory of Representational Complexity in Organizations

Published Online:https://doi.org/10.1287/orsc.2019.1346

References

  • Alpaydin E (2014) Introduction to Machine Learning (MIT Press, Cambridge, MA).Google Scholar
  • Argote L (2013) Organizational Learning: Creating, Retaining, and Transferring Knowledge, 2nd ed. (Springer, New York).CrossrefGoogle Scholar
  • Artinger F, Petersen M, Gigerenzer G, Weibler J (2015) Heuristics as adaptive decision strategies in management. J. Organ. Behav. 36:S33–S52.CrossrefGoogle Scholar
  • Ashby WR (1952) Design for a Brain (Wiley, New York).Google Scholar
  • Ashby WR (1956) Introduction to Cybernetics (Wiley, New York).CrossrefGoogle Scholar
  • Bartunek JM, Gordon JR, Weathersby RP (1983) Developing “complicated” understanding in administrators. Acad. Management Rev. 8(2):273–284.Google Scholar
  • Benner MJ, Tripsas M (2012) The influence of prior industry affiliation on framing in nascent industries: The evolution of digital cameras. Strategic Management J. 33(3):277–302.CrossrefGoogle Scholar
  • Bingham CB, Eisenhardt KM (2011) Rational heuristics: The ‘simple rules’ that strategists learn from process experience. Strategic Management J. 32(13):1437–1464.CrossrefGoogle Scholar
  • Blank S, Dorf B (2012) The Startup Owner’s Manual: The Step-by-Step Guide for Building a Great Company (K&S Ranch, Pescadero, CA).Google Scholar
  • Brunswik E (1952) The Conceptual Framework of Psychology (University of Chicago Press, Chicago).Google Scholar
  • Burton RM, Obel B (2004) Strategic Organizational Diagnosis and Design: The Dynamics of Fit, 3rd ed. (Kluwer, Boston).CrossrefGoogle Scholar
  • Burton RM, Obel B (2013) Design rules for dynamic organization design: The contribution of computational modeling. Grandori A, ed. Handbook of Economic Organization: Integrating Economic and Organization Theory (Edward Elgar, Cheltenham, UK), 223–244.CrossrefGoogle Scholar
  • Burton RM, Obel B (2018) The science of organizational design: Fit between structure and coordination. J. Organ. Design 7(1):Article 5.CrossrefGoogle Scholar
  • Clarkson GP, Hodgkinson GP (2005) Introducing Cognizer: A comprehensive computer package for the elicitation and analysis of cause maps. Organ. Res. Methods 8(3):317–341.CrossrefGoogle Scholar
  • Clemen RT, Winkler RL (1985) Limits for the precision and value of information from dependent sources. Oper. Res. 33(2):427–442.LinkGoogle Scholar
  • Craik KJW (1943) The Nature of Explanation (Cambridge University Press, Cambridge, UK).Google Scholar
  • Csaszar FA (2013) An efficient frontier in organization design: Organizational structure as a determinant of exploration and exploitation. Organ. Sci. 24(4):1083–1101.LinkGoogle Scholar
  • Csaszar FA (2018) What makes a decision strategic? Strategic representations. Strategy Sci. 3(4):606–619.LinkGoogle Scholar
  • Csaszar FA, Eggers JP (2013) Organizational decision making: An information aggregation view. Management Sci. 59(10):2257–2277.LinkGoogle Scholar
  • Csaszar FA, Laureiro-Martinez D (2018) Individual and organizational antecedents of strategic foresight: A representational approach. Strategy Sci. 3(3):513–532.LinkGoogle Scholar
  • Csaszar FA, Levinthal DA (2016) Mental representation and the discovery of new strategies. Strategic Management J. 37(10):2031–2049.CrossrefGoogle Scholar
  • Davis JP, Eisenhardt KM, Bingham CB (2009) Optimal structure, market dynamism, and the strategy of simple rules. Admin. Sci. Quart. 54(3):413–452.CrossrefGoogle Scholar
  • Dawes RM (1979) The robust beauty of improper linear-models in decision-making. Amer. Psych. 34(7):571–582.CrossrefGoogle Scholar
  • Dawes RM, Corrigan B (1974) Linear-models in decision-making. Psych. Bull. 81(2):95–106.CrossrefGoogle Scholar
  • DeNisi AS, Cafferty TP, Meglino BM (1984) A cognitive view of the performance-appraisal process: A model and research propositions. Organ. Behav. Human Performance 33(3):360–396.CrossrefGoogle Scholar
  • Denrell J (2003) Vicarious learning, undersampling of failure, and the myths of management. Organ. Sci. 14(3):227–243.LinkGoogle Scholar
  • Desmet D, Francis T, Hu A, Koller TM, Riedel GA (2000) Valuing dot-coms. McKinsey Quart. (1):148–157.Google Scholar
  • Dess GG, Beard DW (1984) Dimensions of organizational task environments. Admin. Sci. Quart. 29(1):52–73.CrossrefGoogle Scholar
  • Domingos P (2000) A unified bias-variance decomposition for zero-one and squared loss. Kauts H, Porter B, eds. Proc. 17th Natl. Conf. Artificial Intelligence (AAAI Press, Menlo Park, CA), 564–569.Google Scholar
  • Domingos P (2012) A few useful things to know about machine learning. Comm. ACM 55(10):78–87.CrossrefGoogle Scholar
  • Donaldson L (2001) The Contingency Theory of Organizations (Sage Publications, Thousand Oaks, CA).CrossrefGoogle Scholar
  • Dougherty D (1992) Interpretive barriers to successful product innovation in large firms. Organ. Sci. 3(2):179–202.LinkGoogle Scholar
  • Eggers JP, Kaplan S (2009) Cognition and renewal: Comparing CEO and organizational effects on incumbent adaptation to technical change. Organ. Sci. 20(2):461–477.LinkGoogle Scholar
  • Einhorn HJ, Hogarth RM (1975) Unit weighting schemes for decision making. Organ. Behav. Human Performance 13(2):171–192.CrossrefGoogle Scholar
  • Eisenhardt KM, Sull DN (2001) Strategy as simple rules. Harvard Bus. Rev. 79(1):106–116.Google Scholar
  • Fox CR, Ülkümen G (2011) Distinguishing two dimensions of uncertainty. Brun W, Keren G, Kirkebøen G, Montgomery H, eds. Perspectives on Thinking, Judging, and Decision Making (Universitetsforlaget, Oslo, Norway), 21–35.CrossrefGoogle Scholar
  • Fredrickson JW, Mitchell TR (1984) Strategic decision-processes: Comprehensiveness and performance in an industry with an unstable environment. Acad. Management J. 27(2):399–423.CrossrefGoogle Scholar
  • Galbraith JR (1973) Designing Complex Organizations (Addison-Wesley, Reading, MA).Google Scholar
  • Gary MS, Wood RE (2011) Mental models, decision rules, and performance heterogeneity. Strategic Management J. 32(6):569–594.CrossrefGoogle Scholar
  • Geman S, Bienenstock E, Doursat R (1992) Neural networks and the bias/variance dilemma. Neural Comput. 4(1):1–58.CrossrefGoogle Scholar
  • Gigerenzer G, Gaissmaier W (2011) Heuristic decision making. Annual Rev. Psych. 62:451–482.CrossrefGoogle Scholar
  • Gigerenzer G, Goldstein DG (1996) Reasoning the fast and frugal way: Models of bounded rationality. Psych. Rev. 103(4):650–669.CrossrefGoogle Scholar
  • Hamm RM, Yang H (2017) Alternative lens model equations for dichotomous judgments about dichotomous criteria. J. Behav. Decision Making 30(2):527–532.CrossrefGoogle Scholar
  • Hastie T, Tibshirani R, Friedman JH (2009) The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd ed. (Springer, New York).CrossrefGoogle Scholar
  • Hinton GE, McClelland JL, Rumelhart DE (1986) Distributed representations. Rumelhart DE, McClelland JL, eds. Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Vol. 1: Foundations (MIT Press, Cambridge, MA), 77–109.Google Scholar
  • Hogarth RM, Karelaia N (2007) Heuristic and linear models of judgment: Matching rules and environments. Psych. Rev. 114(3):733–758.CrossrefGoogle Scholar
  • Holland JH, Holyoak KJ, Nisbett RE, Thagard P (1986) Induction: Processes of Inference, Learning, and Discovery (MIT Press, Cambridge, MA).CrossrefGoogle Scholar
  • Huff AS (1990) Mapping Strategic Thought (Wiley, Chichester, NY).Google Scholar
  • Hursch CJ, Hammond KR, Hursch JL (1964) Some methodological considerations in multiple-cue probability studies. Psych. Rev. 71(1):42–60.CrossrefGoogle Scholar
  • Hutchins E (1995a) Cognition in the Wild (MIT Press, Cambridge, MA).CrossrefGoogle Scholar
  • Hutchins E (1995b) How a cockpit remembers its speeds. Cognitive Sci. 19(3):265–288.CrossrefGoogle Scholar
  • James GM (2003) Variance and bias for general loss functions. Machine Learn. 51(2):115–135.CrossrefGoogle Scholar
  • Kaplan S (2011) Strategy and PowerPoint: An inquiry into the epistemic culture and machinery of strategy making. Organ. Sci. 22(2):320–346.LinkGoogle Scholar
  • Karelaia N, Hogarth RM (2008) Determinants of linear judgment: A meta-analysis of lens model studies. Psych. Bull. 134(3):404–426.CrossrefGoogle Scholar
  • Katsikopoulos KV, Martignon L (2006) Naive heuristics for paired comparisons: Some results on their relative accuracy. J. Math. Psych. 50(5):488–494.CrossrefGoogle Scholar
  • Katsikopoulos KV, Schooler LJ, Hertwig R (2010) The robust beauty of ordinary information. Psych. Rev. 117(4):1259–1266.CrossrefGoogle Scholar
  • Kelly K (1998) New Rules for the New Economy (Viking, New York).Google Scholar
  • Kiesler S, Sproull L (1982) Managerial response to changing environments: Perspectives on problem sensing from social cognition. Admin. Sci. Quart. 27(4):548–570.CrossrefGoogle Scholar
  • Kirsh D (2010) Thinking with external representations. AI Soc. 25(4):441–454.CrossrefGoogle Scholar
  • Kiss AN, Barr PS (2015) New venture strategic adaptation: The interplay of belief structures and industry context. Strategic Management J. 36(8):1245–1263.CrossrefGoogle Scholar
  • Krackhardt D (1990) Assessing the political landscape: Structure, cognition, and power in organizations. Admin. Sci. Quart. 35(2):342–369.CrossrefGoogle Scholar
  • Levinthal DA (1997) Adaptation on rugged landscapes. Management Sci. 43(7):934–950.LinkGoogle Scholar
  • Lindsay PH, Norman DA (1977) Human Information Processing: An Introduction to Psychology (Academic Press, New York).Google Scholar
  • Martignon L, Hoffrage U (2002) Fast, frugal, and fit: Simple heuristics for paired comparison. Theory Decision 52(1):29–71.CrossrefGoogle Scholar
  • Martignoni D, Menon A, Siggelkow N (2016) Consequences of misspecified mental models: Contrasting effects and the role of cognitive fit. Strategic Management J. 37(13):2545–2568.CrossrefGoogle Scholar
  • McConnell S (2004) Code Complete, 2nd ed. (Microsoft Press, Redmond, WA).Google Scholar
  • McNamara GM, Luce RA, Tompson GH (2002) Examining the effect of complexity in strategic group knowledge structures on firm performance. Strategic Management J. 23(2):153–170.CrossrefGoogle Scholar
  • Milliken FJ (1990) Perceiving and interpreting environmental change: An examination of college administrators’ interpretation of changing demographics. Acad. Management J. 33(1):42–63.CrossrefGoogle Scholar
  • Norman DA (1991) Cognitive artifacts. Carroll JM, ed. Designing Interaction: Psychology at the Human-Computer Interface (Cambridge University Press, Cambridge, UK), 17–38.Google Scholar
  • Payne JW, Bettman JR, Johnson EJ (1993) The Adaptive Decision Maker (Cambridge University Press, Cambridge, UK).CrossrefGoogle Scholar
  • Porac JF, Thomas H, Baden-Fuller C (1989) Competitive groups as cognitive communities: The case of Scottish knitwear manufacturers. J. Management Stud. 26(4):397–416.CrossrefGoogle Scholar
  • Posen HE, Chen JS (2013) An advantage of newness: Vicarious learning despite limited absorptive capacity. Organ. Sci. 24(6):1701–1716.LinkGoogle Scholar
  • Posen HE, Levinthal DA (2012) Chasing a moving target: Exploitation and exploration in dynamic environments. Management Sci. 58(3):587–601.LinkGoogle Scholar
  • Priem RL, Love LG, Shaffer MA (2002) Executives’ perceptions of uncertainty sources: A numerical taxonomy and underlying dimensions. J. Management 28(6):725–746.CrossrefGoogle Scholar
  • Ries E (2011) The Lean Startup (Crown Business, New York).Google Scholar
  • Robbins P, Aydede M (2009) A short primer on situated cognition. Robbins P, Aydede M, eds. The Cambridge Handbook of Situated Cognition (Cambridge University Press, Cambridge, UK), 3–10.Google Scholar
  • Sah RK, Stiglitz JE (1986) The architecture of economic systems: Hierarchies and polyarchies. Amer. Econom. Rev. 76(4):716–727.Google Scholar
  • Shmueli G (2010) To explain or to predict? Statist. Sci. 25(3):289–310.CrossrefGoogle Scholar
  • Siggelkow N, Rivkin JW (2005) Speed and search: Designing organizations for turbulence and complexity. Organ. Sci. 16(2):101–122.LinkGoogle Scholar
  • Simon HA (1957) Models of Man: Social and Rational (Wiley, New York).Google Scholar
  • Simon HA (1962) The architecture of complexity. Proc. Amer. Philos. Soc. 106(6):467–482.Google Scholar
  • Simon HA (1990) Invariants of human behavior. Annual Rev. Psych. 41:1–19.CrossrefGoogle Scholar
  • Spender JC (2013) Herbert Alexander Simon: Philosopher of the organizational life-world. Witzel M, Warner M, eds. The Oxford Handbook of Management Theorists (Oxford University Press, Oxford, UK), 297–357.Google Scholar
  • Sull DN, Eisenhardt KM (2015) Simple Rules: How to Thrive in a Complex World (Houghton Mifflin Harcourt, Boston).Google Scholar
  • Tetlock PE (1983) Accountability and complexity of thought. J. Personality Soc. Psych. 45(1):74–83.CrossrefGoogle Scholar
  • Thagard P (2005) Mind: Introduction to Cognitive Science, 2nd ed. (MIT Press, Cambridge, MA).Google Scholar
  • Vuori N, Vuori T (2014) Comment on “Heuristics in the strategy context” by Bingham and Eisenhardt (2011). Strategic Management J. 35(11):1689–1697.CrossrefGoogle Scholar
  • Walsh JP (1995) Managerial and organizational cognition: Notes from a trip down memory lane. Organ. Sci. 6(3):280–321.LinkGoogle Scholar
  • Wegner DM (1986) Transactive memory: A contemporary analysis of the group mind. Mullen B, Goethals GR, eds. Theories of Group Behavior (Springer, New York), 185–208.Google Scholar
  • Weick KE (1979) The Social Psychology of Organizing, 2nd ed. (Addison-Wesley, Reading, MA).Google Scholar
  • Winter SG, Szulanski G (2001) Replication as strategy. Organ. Sci. 12(6):730–743.LinkGoogle Scholar
  • Wirth N (1976) Algorithms + Data Structures = Programs (Prentice-Hall, Englewood Cliffs, NJ).Google Scholar
  • Zhang JJ (1997) The nature of external representations in problem solving. Cognitive Sci. 21(2):179–217.CrossrefGoogle Scholar
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