IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/6460.html
   My bibliography  Save this paper

The Institutional Context and Manufacturing Performance: The Case of the U.S. Defense Industrial Network

Author

Listed:
  • Maryellen R. Kelley
  • Cynthia R. Cook

Abstract

U.S. manufacturing firms that make sophisticated weapons systems for the Pentagon are subject to an unusual regulatory regime that obligates them to volunteer' information on their business practices to the government and to prime contractors as a condition of their special relationship with the government. Within this organizational community information sharing with and assistance to other firms have come to be viewed as an ordinary obligation - i.e., a condition of citizenship. This cooperative learning environment is indicative of a collaborative manufacturing network that enables member organizations to learn quickly about relevant process technology innovations and to implement them effectively. We find that defense contractors learn about information technology applications more quickly than enterprises outside the network. Moreover, learning advantages are not confined to transactions specific to the Pentagon, but benefit the non-military operations of the networked enterprises as well.

Suggested Citation

  • Maryellen R. Kelley & Cynthia R. Cook, 1998. "The Institutional Context and Manufacturing Performance: The Case of the U.S. Defense Industrial Network," NBER Working Papers 6460, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:6460
    Note: PR
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w6460.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David J. Teece, 2003. "Competition, Cooperation, and Innovation Organizational Arrangements for Regimes of Rapid Technological Progress," World Scientific Book Chapters, in: Essays In Technology Management And Policy Selected Papers of David J Teece, chapter 16, pages 447-474, World Scientific Publishing Co. Pte. Ltd..
    2. James Richardson, 1993. "Parallel sourcing and supplier performance in the Japanese automobile industry," Strategic Management Journal, Wiley Blackwell, vol. 14(5), pages 339-350, July.
    3. Zvi Griliches, 1991. "Hedonic Price Indexes and the Measurement of Capital and Productivity: Some Historical Reflections," NBER Chapters, in: Fifty Years of Economic Measurement: The Jubilee of the Conference on Research in Income and Wealth, pages 185-206, National Bureau of Economic Research, Inc.
    4. Zvi Griliches, 1998. "The Search for R&D Spillovers," NBER Chapters,in: R&D and Productivity: The Econometric Evidence, pages 251-268 National Bureau of Economic Research, Inc.
    5. Linda Argote & Sara L. Beckman & Dennis Epple, 1990. "The Persistence and Transfer of Learning in Industrial Settings," Management Science, INFORMS, vol. 36(2), pages 140-154, February.
    6. John Paul Macduffie, 1995. "Human Resource Bundles and Manufacturing Performance: Organizational Logic and Flexible Production Systems in the World Auto Industry," ILR Review, Cornell University, ILR School, vol. 48(2), pages 197-221, January.
    7. Marcie J. Tyre & Oscar Hauptman, 1992. "Effectiveness of Organizational Responses to Technological Change in the Production Process," Organization Science, INFORMS, vol. 3(3), pages 301-320, August.
    8. Paul S. Adler & Kim B. Clark, 1991. "Behind the Learning Curve: A Sketch of the Learning Process," Management Science, INFORMS, vol. 37(3), pages 267-281, March.
    9. Mowery, David C. & Langlois, Richard N., 1996. "Spinning off and spinning on(?): the federal government role in the development of the US computer software industry," Research Policy, Elsevier, vol. 25(6), pages 947-966, September.
    10. Maryellen R. Kelley, 1994. "Productivity and Information Technology: The Elusive Connection," Management Science, INFORMS, vol. 40(11), pages 1406-1425, November.
    11. Glasmeier, Amy, 1991. "Technological discontinuities and flexible production networks: The case of Switzerland and the world watch industry," Research Policy, Elsevier, vol. 20(5), pages 469-485, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Feldman, Maryann P. & Kelley, Maryellen R., 2006. "The ex ante assessment of knowledge spillovers: Government R&D policy, economic incentives and private firm behavior," Research Policy, Elsevier, vol. 35(10), pages 1509-1521, December.
    2. Bae, Sung Joo & Lee, Hyeonsuh, 2020. "The role of government in fostering collaborative R&D projects: Empirical evidence from South Korea," Technological Forecasting and Social Change, Elsevier, vol. 151(C).

    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. Eelke Wiersma, 2007. "Conditions That Shape the Learning Curve: Factors That Increase the Ability and Opportunity to Learn," Management Science, INFORMS, vol. 53(12), pages 1903-1915, December.
    2. Tammy L. Madsen & Michael J. Leiblein, 2015. "What Factors Affect the Persistence of an Innovation Advantage?," Journal of Management Studies, Wiley Blackwell, vol. 52(8), pages 1097-1127, December.
    3. Tat Y. Chan & Jia Li & Lamar Pierce, 2014. "Learning from Peers: Knowledge Transfer and Sales Force Productivity Growth," Marketing Science, INFORMS, vol. 33(4), pages 463-484, July.
    4. Robert S. Huckman & Gary P. Pisano, 2006. "The Firm Specificity of Individual Performance: Evidence from Cardiac Surgery," Management Science, INFORMS, vol. 52(4), pages 473-488, April.
    5. Malgorzata Plaza, 2008. "Team performance and information system implementation," Information Systems Frontiers, Springer, vol. 10(3), pages 347-359, July.
    6. Giovanni. Gavetti & Daniel A. Levinthal, 2004. "50th Anniversay Article: The Strategy Field from the Perspective of Management Science: Divergent Strands and Possible Integration," Management Science, INFORMS, vol. 50(10), pages 1309-1318, October.
    7. Heine, Michelle Lane & Grover, Varun & Malhotra, Manoj K., 2003. "The relationship between technology and performance: a meta-analysis of technology models," Omega, Elsevier, vol. 31(3), pages 189-204, June.
    8. Jochen Lorentzen & Peter Møllgaard, 2006. "Competition Policy and Innovation," Chapters, in: Patrizio Bianchi & Sandrine Labory (ed.), International Handbook on Industrial Policy, chapter 6, Edward Elgar Publishing.
    9. Pattravadee Ploykitikoon & Charles M. Weber, 2019. "Knowledge Pathways and Performance: An Empirical Study of the National Laboratories in a Technology Latecomer Country," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(03), pages 1-37, May.
    10. Morgan, Horatio M. & Ngwenyama, Ojelanki, 2015. "Real options, learning cost and timing software upgrades: Towards an integrative model for enterprise software upgrade decision analysis," International Journal of Production Economics, Elsevier, vol. 168(C), pages 211-223.
    11. Jonathan R. Clark & Robert S. Huckman & Bradley R. Staats, 2013. "Learning from Customers: Individual and Organizational Effects in Outsourced Radiological Services," Organization Science, INFORMS, vol. 24(5), pages 1539-1557, October.
    12. Harashima, Taiji, 2012. "A Theory of Intelligence and Total Factor Productivity: Value Added Reflects the Fruits of Fluid Intelligence," MPRA Paper 43151, University Library of Munich, Germany.
    13. Cheryl Gaimon & Gülru F. Özkan & Karen Napoleon, 2011. "Dynamic Resource Capabilities: Managing Workforce Knowledge with a Technology Upgrade," Organization Science, INFORMS, vol. 22(6), pages 1560-1578, December.
    14. Rajiv D. Banker & Joy M. Field & Kingshuk K. Sinha, 2001. "Work-Team Implementation and Trajectories of Manufacturing Quality: A Longitudinal Field Study," Manufacturing & Service Operations Management, INFORMS, vol. 3(1), pages 25-42, November.
    15. Gary P. Pisano & Richard M.J. Bohmer & Amy C. Edmondson, 2001. "Organizational Differences in Rates of Learning: Evidence from the Adoption of Minimally Invasive Cardiac Surgery," Management Science, INFORMS, vol. 47(6), pages 752-768, June.
    16. Wonsang Ryu & Brian T. McCann & William P. Wan, 2022. "Learning by doing and corporate diversification," Strategic Management Journal, Wiley Blackwell, vol. 43(8), pages 1635-1665, August.
    17. Feldman, Maryann P. & Kelley, Maryellen R., 2006. "The ex ante assessment of knowledge spillovers: Government R&D policy, economic incentives and private firm behavior," Research Policy, Elsevier, vol. 35(10), pages 1509-1521, December.
    18. von Hippel, Eric & Tyre, Marcie J., 1995. "How learning by doing is done: problem identification in novel process equipment," Research Policy, Elsevier, vol. 24(1), pages 1-12, January.
    19. Anupam Agrawal & Suresh Muthulingam, 2015. "Does Organizational Forgetting Affect Vendor Quality Performance? An Empirical Investigation," Manufacturing & Service Operations Management, INFORMS, vol. 17(3), pages 350-367, July.
    20. Amit Jain & Will Mitchell, 2022. "Specialization as a double‐edged sword: The relationship of scientist specialization with R&D productivity and impact following collaborator change," Strategic Management Journal, Wiley Blackwell, vol. 43(5), pages 986-1024, May.

    More about this item

    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:nbr:nberwo:6460. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.