IDEAS home Printed from https://ideas.repec.org/a/spr/jknowl/v7y2016i4d10.1007_s13132-015-0291-2.html
   My bibliography  Save this article

Location and Innovation Optimism: a Behavioral-Experimental Approach

Author

Listed:
  • A. Alventosa

    (University of Valencia)

  • Y. Gómez

    (University of Valencia)

  • V. Martínez-Molés

    (University of Valencia)

  • J. Vila

    (University of Valencia)

Abstract

Using a behavioral-experimental economics approach, this paper shows that the location of a potential innovator has an impact on her or his innovation attitude, specifically on her or his innovation optimism. Moreover, such an impact is a consequence of the way in which they can access the information about the chances of succeeding if they initiate an innovation process. Isolated innovators can learn about their success chances from external objective sources, such as market research companies or public institutions. On the other hand, when the potential innovator is located in an innovation cluster, she or he has the chance to observe innovation performance and share the experience of innovation. This work provides empirical evidence to support that innovation attitudes are significantly different in both types of location: while isolated innovators exhibit innovation pessimisms, members of innovation clusters tend to be optimistic as respect to their success chances in the innovation process.

Suggested Citation

  • A. Alventosa & Y. Gómez & V. Martínez-Molés & J. Vila, 2016. "Location and Innovation Optimism: a Behavioral-Experimental Approach," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 7(4), pages 890-904, December.
    • Handle: RePEc:spr:jknowl:v:7:y:2016:i:4:d:10.1007_s13132-015-0291-2
    DOI: 10.1007/s13132-015-0291-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13132-015-0291-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13132-015-0291-2?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. Oerlemans, L.A.G. & Meeus, M.T.H. & Boekema, F.W.M., 2001. "Firm clustering and innovation," Other publications TiSEM c4398688-1710-449a-83e7-e, Tilburg University, School of Economics and Management.
    2. Mohammed Abdellaoui & Olivier L'Haridon & Corina Paraschiv, 2011. "Experienced vs. Described Uncertainty: Do We Need Two Prospect Theory Specifications?," Management Science, INFORMS, vol. 57(10), pages 1879-1895, October.
    3. Aija Leiponen & Constance E. Helfat, 2011. "Location, Decentralization, and Knowledge Sources for Innovation," Organization Science, INFORMS, vol. 22(3), pages 641-658, June.
    4. Shefrin, Hersh, 2008. "A Behavioral Approach to Asset Pricing," Elsevier Monographs, Elsevier, edition 2, number 9780123743565.
    5. Mohammed Abdellaoui & Han Bleichrodt & Olivier L’Haridon, 2008. "A tractable method to measure utility and loss aversion under prospect theory," Journal of Risk and Uncertainty, Springer, vol. 36(3), pages 245-266, June.
    6. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    7. Peter Wakker & Daniel Deneffe, 1996. "Eliciting von Neumann-Morgenstern Utilities When Probabilities Are Distorted or Unknown," Management Science, INFORMS, vol. 42(8), pages 1131-1150, August.
    8. Love, James H. & Roper, Stephen, 2001. "Location and network effects on innovation success: evidence for UK, German and Irish manufacturing plants," Research Policy, Elsevier, vol. 30(4), pages 643-661, April.
    9. Larry G. Epstein, 2008. "Living with Risk," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 75(4), pages 1121-1141.
    10. Quiggin, John, 1982. "A theory of anticipated utility," Journal of Economic Behavior & Organization, Elsevier, vol. 3(4), pages 323-343, December.
    11. van Rijnsoever & Marius Meeus & Roger Donders, 2012. "The effects of economic status and recent experience on innovative behavior under environmental variability: an experimental approach," Innovation Studies Utrecht (ISU) working paper series 12-01, Utrecht University, Department of Innovation Studies, revised Jan 2012.
    12. Iryna Sikora, 2015. "Creative Production and Exchange of Ideas," 2015 Papers psi700, Job Market Papers.
    13. Störmer, Niclas & Herstatt, Cornelius, 2014. "Exogenous vs. endogenous governance in innovation communities: Effects on motivation, conflict and justice - An experimental investigation," Working Papers 82, Hamburg University of Technology (TUHH), Institute for Technology and Innovation Management.
    14. Barberis, Nicholas & Shleifer, Andrei & Vishny, Robert, 1998. "A model of investor sentiment," Journal of Financial Economics, Elsevier, vol. 49(3), pages 307-343, September.
    15. Güth, Werner & Pull, Kerstin & Stadler, Manfred, 2012. "Creativity, analytical skills, personality traits, and innovative capability: A lab experiment," University of Tübingen Working Papers in Business and Economics 44, University of Tuebingen, Faculty of Economics and Social Sciences, School of Business and Economics.
    16. Michael E. Porter, 2000. "Location, Competition, and Economic Development: Local Clusters in a Global Economy," Economic Development Quarterly, , vol. 14(1), pages 15-34, February.
    17. Maryann Feldman, 1999. "The New Economics Of Innovation, Spillovers And Agglomeration: Areview Of Empirical Studies," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 8(1-2), pages 5-25.
    18. Christian Schade, 2005. "Dynamics, Experimental Economics, and Entrepreneurship," The Journal of Technology Transfer, Springer, vol. 30(4), pages 409-431, October.
    19. Puri, Manju & Robinson, David T., 2007. "Optimism and economic choice," Journal of Financial Economics, Elsevier, vol. 86(1), pages 71-99, October.
    20. Audretsch, David B, 1998. "Agglomeration and the Location of Innovative Activity," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 14(2), pages 18-29, Summer.
    21. van Rijnsoever, Frank J. & Meeus, Marius T.H. & Donders, A. Rogier T., 2012. "The effects of economic status and recent experience on innovative behavior under environmental variability: An experimental approach," Research Policy, Elsevier, vol. 41(5), pages 833-847.
    22. Mary Schoonmaker & Elias Carayannis, 2010. "Assessing the Value of Regional Innovation Networks," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 1(1), pages 48-66, March.
    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. João Ricardo Faria & Mauricio Prado & João J. Ferreira, 2022. "Informality, Infrastructure Investments, and New Firms’ Creation: The Location Strategy," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(1), pages 321-331, March.

    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. Kpegli, Yao Thibaut & Corgnet, Brice & Zylbersztejn, Adam, 2023. "All at once! A comprehensive and tractable semi-parametric method to elicit prospect theory components," Journal of Mathematical Economics, Elsevier, vol. 104(C).
    2. Attema, Arthur E. & Brouwer, Werner B.F. & l’Haridon, Olivier, 2013. "Prospect theory in the health domain: A quantitative assessment," Journal of Health Economics, Elsevier, vol. 32(6), pages 1057-1065.
    3. Yao Thibaut Kpegli, 2023. "Smoothing Spline Method for Measuring Prospect Theory Components," Working Papers 2303, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    4. Y. Gómez & V. Martínez-Molés & J. Vila, 2016. "Spanish regulation for labeling of financial products: a behavioral-experimental analysis," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 33(3), pages 355-378, December.
    5. Jakusch, Sven Thorsten, 2017. "On the applicability of maximum likelihood methods: From experimental to financial data," SAFE Working Paper Series 148, Leibniz Institute for Financial Research SAFE, revised 2017.
    6. Jakusch, Sven Thorsten & Meyer, Steffen & Hackethal, Andreas, 2019. "Taming models of prospect theory in the wild? Estimation of Vlcek and Hens (2011)," SAFE Working Paper Series 146, Leibniz Institute for Financial Research SAFE, revised 2019.
    7. Víctor González-Jiménez, 2021. "Incentive contracts when agents distort probabilities," Vienna Economics Papers vie2101, University of Vienna, Department of Economics.
    8. Attema, Arthur E. & Brouwer, Werner B.F. & l’Haridon, Olivier & Pinto, Jose Luis, 2016. "An elicitation of utility for quality of life under prospect theory," Journal of Health Economics, Elsevier, vol. 48(C), pages 121-134.
    9. Robin Cubitt & Orestis Kopsacheilis & Chris Starmer, 2022. "An inquiry into the nature and causes of the Description - Experience gap," Journal of Risk and Uncertainty, Springer, vol. 65(2), pages 105-137, October.
    10. Orestis Kopsacheilis, 2018. "The role of information search and its influence on risk preferences," Theory and Decision, Springer, vol. 84(3), pages 311-339, May.
    11. Jeeva Somasundaram & Vincent Eli, 2022. "Risk and time preferences interaction: An experimental measurement," Journal of Risk and Uncertainty, Springer, vol. 65(2), pages 215-238, October.
    12. Víctor González-Jiménez, 2021. "Incentive contracts when agents distort probabilities," Vienna Economics Papers 2101, University of Vienna, Department of Economics.
    13. Mohammed Abdellaoui & Enrico Diecidue & Ayse Öncüler, 2011. "Risk Preferences at Different Time Periods: An Experimental Investigation," Management Science, INFORMS, vol. 57(5), pages 975-987, May.
    14. Nathalie Etchart-Vincent, 2009. "Probability weighting and the ‘level’ and ‘spacing’ of outcomes: An experimental study over losses," Journal of Risk and Uncertainty, Springer, vol. 39(1), pages 45-63, August.
    15. Arthur Carvalho & Stanko Dimitrov & Kate Larson, 2018. "On proper scoring rules and cumulative prospect theory," EURO Journal on Decision Processes, Springer;EURO - The Association of European Operational Research Societies, vol. 6(3), pages 343-376, November.
    16. Jinrui Pan & Craig S. Webb & Horst Zank, 2019. "Delayed probabilistic risk attitude: a parametric approach," Theory and Decision, Springer, vol. 87(2), pages 201-232, September.
    17. Mohammed Abdellaoui & Ahmed Driouchi & Olivier L’Haridon, 2011. "Risk aversion elicitation: reconciling tractability and bias minimization," Theory and Decision, Springer, vol. 71(1), pages 63-80, July.
    18. Shi, Yun & Cui, Xiangyu & Zhou, Xunyu, 2020. "Beta and Coskewness Pricing: Perspective from Probability Weighting," SocArXiv 5rqhv, Center for Open Science.
    19. Mohammed Abdellaoui & Olivier L’Haridon & Horst Zank, 2010. "Separating curvature and elevation: A parametric probability weighting function," Journal of Risk and Uncertainty, Springer, vol. 41(1), pages 39-65, August.
    20. Attema, Arthur E. & Brouwer, Werner B.F., 2012. "A test of independence of discounting from quality of life," Journal of Health Economics, Elsevier, vol. 31(1), pages 22-34.

    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:spr:jknowl:v:7:y:2016:i:4:d:10.1007_s13132-015-0291-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.