IDEAS home Printed from https://ideas.repec.org/p/sce/scecf5/222.html
   My bibliography  Save this paper

Firm Structure, Search and Environmental Complexity

Author

Listed:
  • Nobuyuki Hanaki
  • Jason Barr

Abstract

In this paper we explore the information processing problem of the firm by modeling the firm as type of network, which is comprised of two kinds of agents, 'searchers' and 'managers.' The searchers explore the external environment and report the information to the managers. We explore the role of centralization/decentralization in organizational structure to see how it affects firm performance. Centralization is defined in terms of the level at which decisions are made. We assume the information processing organization is arranged hierarchically, but that decisions can be made at different levels, and thus centralization directly relates to the quantity of information used in making a decision. We model the external environment as an NK landscape. Via simulations, we explore which type of organizational structure and level of decision making maximizes firm profits, given the complexity of the environment

Suggested Citation

  • Nobuyuki Hanaki & Jason Barr, 2005. "Firm Structure, Search and Environmental Complexity," Computing in Economics and Finance 2005 222, Society for Computational Economics.
    • Handle: RePEc:sce:scecf5:222
    as

    Download full text from publisher

    File URL: http://repec.org/sce2005/up.8366.1107106407.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Langlois, Richard N., 2002. "Modularity in technology and organization," Journal of Economic Behavior & Organization, Elsevier, vol. 49(1), pages 19-37, September.
    2. Jan W. Rivkin & Nicolaj Siggelkow, 2003. "Balancing Search and Stability: Interdependencies Among Elements of Organizational Design," Management Science, INFORMS, vol. 49(3), pages 290-311, March.
    3. Myong-Hun Chang & Joseph E. Harrington, 2000. "Centralization vs. Decentralization in a Multi-Unit Organization: A Computational Model of a Retail Chain as a Multi-Agent Adaptive System," Management Science, INFORMS, vol. 46(11), pages 1427-1440, November.
    4. Barr, Jason & Saraceno, Francesco, 2002. "A computational theory of the firm," Journal of Economic Behavior & Organization, Elsevier, vol. 49(3), pages 345-361, November.
    5. David, Paul A, 1985. "Clio and the Economics of QWERTY," American Economic Review, American Economic Association, vol. 75(2), pages 332-337, May.
    6. Jovanovic, Boyan, 1982. "Selection and the Evolution of Industry," Econometrica, Econometric Society, vol. 50(3), pages 649-670, May.
    7. Auerswald, Philip & Kauffman, Stuart & Lobo, Jose & Shell, Karl, 2000. "The production recipes approach to modeling technological innovation: An application to learning by doing," Journal of Economic Dynamics and Control, Elsevier, vol. 24(3), pages 389-450, March.
    8. Pakes, Ariel & Ericson, Richard, 1998. "Empirical Implications of Alternative Models of Firm Dynamics," Journal of Economic Theory, Elsevier, vol. 79(1), pages 1-45, March.
    9. Myong-Hun Chang & Joseph E. Harrington, Jr, 2003. "Multimarket Competition, Consumer Search, and the Organizational Structure of Multiunit Firms," Management Science, INFORMS, vol. 49(4), pages 541-552, April.
    10. Kauffman, Stuart & Lobo, Jose & Macready, William G., 2000. "Optimal search on a technology landscape," Journal of Economic Behavior & Organization, Elsevier, vol. 43(2), pages 141-166, October.
    11. Myong-Hun Chang & Joseph E Harrington, 2000. "Organization of Innovation in a Multi-Unit Firm: Coordinating Adaptive Search on Multiple Rugged Landscapes," Economics Working Paper Archive 442, The Johns Hopkins University,Department of Economics.
    12. Radner, Roy, 1993. "The Organization of Decentralized Information Processing," Econometrica, Econometric Society, vol. 61(5), pages 1109-1146, September.
    13. Daniel A. Levinthal & Massimo Warglien, 1999. "Landscape Design: Designing for Local Action in Complex Worlds," Organization Science, INFORMS, vol. 10(3), pages 342-357, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nobuyuki Hanaki & Jason Barr, 2005. "Firm Structure, Search and Environmental Complexity," Computing in Economics and Finance 2005 222, Society for Computational Economics.
    2. Jason Barr & Nobuyuki Hanaki, 2008. "Organizations undertaking complex projects in uncertain environments," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 3(2), pages 119-135, December.
    3. Chang, Myong-Hun & Harrington, Joseph Jr., 2006. "Agent-Based Models of Organizations," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 26, pages 1273-1337, Elsevier.
    4. Frenken, Koen, 2006. "A fitness landscape approach to technological complexity, modularity, and vertical disintegration," Structural Change and Economic Dynamics, Elsevier, vol. 17(3), pages 288-305, September.
    5. Dosi, Giovanni & Nelson, Richard R., 2010. "Technical Change and Industrial Dynamics as Evolutionary Processes," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 51-127, Elsevier.
    6. Lucio Biggiero & Enrico Sevi, 2009. "Opportunism by cheating and its effects on industry profitability. The CIOPS model," Computational and Mathematical Organization Theory, Springer, vol. 15(3), pages 191-236, September.
    7. Philip Auerswald, 2010. "Entry and Schumpeterian profits," Journal of Evolutionary Economics, Springer, vol. 20(4), pages 553-582, August.
    8. Francesco Saraceno & Jason Barr, 2008. "Cournot competition and endogenous firm size," Journal of Evolutionary Economics, Springer, vol. 18(5), pages 615-638, October.
    9. Koen Frenken, 2006. "Technological innovation and complexity theory," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 15(2), pages 137-155.
    10. Karén Hovhannissian & Marco Valente, 2004. "Modeling Directed Local Search Strategies on Technology Landscapes: Depth and Breadth," ROCK Working Papers 028, Department of Computer and Management Sciences, University of Trento, Italy, revised 17 Jun 2008.
    11. Hvide, Hans K. & Meling, Tom G., 2019. "Do Temporary Demand Shocks have Long-Term Effects for Startups?," CEPR Discussion Papers 14131, C.E.P.R. Discussion Papers.
    12. Sendil K. Ethiraj & Daniel Levinthal, 2003. "Modularity and Innovation in Complex Systems," LEM Papers Series 2003/15, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    13. Valente Houhannisian, 2004. "Modeling Directod Local Search Strategies on Technology Landscapes and Breadth," Quaderni DISA 091, Department of Computer and Management Sciences, University of Trento, Italy, revised 17 Jun 2008.
    14. Desmarchelier, Benoît & Djellal, Faridah & Gallouj, Faïz, 2013. "Environmental policies and eco-innovations by service firms: An agent-based model," Technological Forecasting and Social Change, Elsevier, vol. 80(7), pages 1395-1408.
    15. Kyle Wilson & Mo Xiao & Peter F. Orazem, 2021. "Entry threat, entry delay, and Internet speed: The timing of the U.S. broadband rollout," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 30(1), pages 3-44, February.
    16. Karén Hovhannisian & Marco Valente, 2005. "Modeling Directed Local Search Strategies on Technology," Computational Economics 0507001, University Library of Munich, Germany.
    17. Nicolaj Siggelkow & Jan W. Rivkin, 2005. "Speed and Search: Designing Organizations for Turbulence and Complexity," Organization Science, INFORMS, vol. 16(2), pages 101-122, April.
    18. Jan W. Rivkin & Nicolaj Siggelkow, 2003. "Balancing Search and Stability: Interdependencies Among Elements of Organizational Design," Management Science, INFORMS, vol. 49(3), pages 290-311, March.
    19. Harris, Richard & Moffat, John, 2011. "Plant-level determinants of total factor productivity in Great Britain, 1997-2006," LSE Research Online Documents on Economics 33561, London School of Economics and Political Science, LSE Library.
    20. Sendil K. Ethiraj & Daniel Levinthal, 2004. "Modularity and Innovation in Complex Systems," Management Science, INFORMS, vol. 50(2), pages 159-173, February.

    More about this item

    Keywords

    Organizational Structure; Decentralization; NK Landscape; Firm Search;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sce:scecf5:222. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F. Baum (email available below). General contact details of provider: https://edirc.repec.org/data/sceeeea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.