IDEAS home Printed from https://ideas.repec.org/a/taf/ecinnt/v19y2010i6p569-582.html
   My bibliography  Save this article

Directed search with real options

Author

Listed:
  • Nigel Wadeson

Abstract

While search is normally modelled by economists purely in terms of decisions over making observations, this paper models it as a process in which information is gained through feedback from innovatory product launches. The information gained can then be used to decide whether to exercise real options. In the model the initial decisions involve a product design and the scale of production capacity. There are then real options to change these factors based on what is learned. The case of launching product variants in parallel is also considered. Under 'true' uncertainty, the model can be seen in terms of heuristic decision-making based on subjective beliefs with limited foresight. Search costs, the values of the real options, beliefs, and the cost of capital are all shown to be significant in determining the search path.

Suggested Citation

  • Nigel Wadeson, 2010. "Directed search with real options," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 19(6), pages 569-582.
  • Handle: RePEc:taf:ecinnt:v:19:y:2010:i:6:p:569-582
    DOI: 10.1080/10438599.2010.486527
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/10438599.2010.486527
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/10438599.2010.486527?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Nigel Wadeson, 2004. "Multi-dimensional search: choosing the right path," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 11(3), pages 287-301.
    2. Weitzman, Martin L, 1979. "Optimal Search for the Best Alternative," Econometrica, Econometric Society, vol. 47(3), pages 641-654, May.
    3. Stigler, George J., 2011. "Economics of Information," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 5, pages 35-49.
    4. Wei‐Ru Chen & Kent D. Miller, 2007. "Situational and institutional determinants of firms' R&D search intensity," Strategic Management Journal, Wiley Blackwell, vol. 28(4), pages 369-381, April.
    5. Vishwanath, Tara, 1992. "Parallel Search for the Best Alternative," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 2(4), pages 495-507, October.
    6. Gil, Nuno, 2007. "On the value of project safeguards: Embedding real options in complex products and systems," Research Policy, Elsevier, vol. 36(7), pages 980-999, September.
    7. Maidique, Modesto A. & Zirger, Billie Jo, 1985. "The new product learning cycle," Research Policy, Elsevier, vol. 14(6), pages 299-313, December.
    8. Paul D. Childs & Alexander J. Triantis, 1999. "Dynamic R&D Investment Policies," Management Science, INFORMS, vol. 45(10), pages 1359-1377, October.
    9. Geroski, P. A., 1995. "What do we know about entry?," International Journal of Industrial Organization, Elsevier, vol. 13(4), pages 421-440, December.
    10. Triantis, Alexander J & Hodder, James E, 1990. "Valuing Flexibility as a Complex Option," Journal of Finance, American Finance Association, vol. 45(2), pages 549-565, 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. Adam, Klaus, 2001. "Learning While Searching for the Best Alternative," Journal of Economic Theory, Elsevier, vol. 101(1), pages 252-280, November.
    2. Laura J. Kornish & Karl T. Ulrich, 2011. "Opportunity Spaces in Innovation: Empirical Analysis of Large Samples of Ideas," Management Science, INFORMS, vol. 57(1), pages 107-128, January.
    3. Magnini, Vincent P. & Karande, Kiran, 2011. "Understanding consumer services buyers based upon their purchase channel," Journal of Business Research, Elsevier, vol. 64(6), pages 543-550, June.
    4. 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.
    5. Hector Chade & Lones Smith, 2006. "Simultaneous Search," Econometrica, Econometric Society, vol. 74(5), pages 1293-1307, September.
    6. Lim, Terence & Lo, Andrew W. & Merton, Robert C. & Scholes, Myron S., 2006. "The Derivatives Sourcebook," Foundations and Trends(R) in Finance, now publishers, vol. 1(5–6), pages 365-572, April.
    7. Yongmin Chen & Tianle Zhang, 2018. "Entry and Welfare in Search Markets," Economic Journal, Royal Economic Society, vol. 128(608), pages 55-80, February.
    8. Raluca M. Ursu & Qingliang Wang & Pradeep K. Chintagunta, 2020. "Search Duration," Marketing Science, INFORMS, vol. 39(5), pages 849-871, September.
    9. Marcu, Emanuel & Noussair, Charles, 2018. "Sequential Search with a Price Freeze Option - Theory and Experimental Evidence," Other publications TiSEM dacf4815-c001-44c3-bda3-f, Tilburg University, School of Economics and Management.
    10. Jun B. Kim & Paulo Albuquerque & Bart J. Bronnenberg, 2010. "Online Demand Under Limited Consumer Search," Marketing Science, INFORMS, vol. 29(6), pages 1001-1023, 11-12.
    11. Luyi Yang & Laurens G. Debo & Varun Gupta, 2019. "Search Among Queues Under Quality Differentiation," Management Science, INFORMS, vol. 65(8), pages 3605-3623, August.
    12. Xing Zhang & Tat Y. Chan & Ying Xie, 2018. "Price Search and Periodic Price Discounts," Management Science, INFORMS, vol. 64(2), pages 495-510, February.
    13. Pantelis P. Analytis & Amit Kothiyal & Konstantinos Katsikopoulos, 2014. "Multi-attribute utility models as cognitive search engines," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 9(5), pages 403-419, September.
    14. Gérard P. Cachon & Christian Terwiesch & Yi Xu, 2005. "Retail Assortment Planning in the Presence of Consumer Search," Manufacturing & Service Operations Management, INFORMS, vol. 7(4), pages 330-346, August.
    15. Jie Jennifer Zhang & Bing Jing, 2007. "The Impacts of Shopbots on Online Consumer Search," Working Papers 07-34, NET Institute, revised Sep 2007.
    16. Jacques Crémer & Yossi Spiegel & Charles Zheng, 2009. "Auctions with costly information acquisition," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 38(1), pages 41-72, January.
    17. Hoeffler, Steve & Ariely, Dan & West, Pat, 2006. "Path dependent preferences: The role of early experience and biased search in preference development," Organizational Behavior and Human Decision Processes, Elsevier, vol. 101(2), pages 215-229, November.
    18. DeSarbo, Wayne S. & Choi, Jungwhan, 1998. "A latent structure double hurdle regression model for exploring heterogeneity in consumer search patterns," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 423-455, November.
    19. Bronnenberg, Bart & Dube, Jean-Pierre, 2016. "The Formation of Consumer Brand Preferences," CEPR Discussion Papers 11648, C.E.P.R. Discussion Papers.
    20. Navid Mojir & K. Sudhir, 2014. "Price Search Across Time and Across Stores," Cowles Foundation Discussion Papers 1942R, Cowles Foundation for Research in Economics, Yale University, revised Jul 2019.

    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:taf:ecinnt:v:19:y:2010:i:6:p:569-582. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/GEIN20 .

    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.