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A quantitative model of the human capital contribution to the value of a project

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  • Bautista, Rafael

    (School of Management, Universidad de los Andes)

Abstract

This paper proposes a conceptual frame for assessing the economic contribution attributable to the human capital in a project in the product market. The starting point is the rejection of the assumption of human capital as commodity, which is implicit in nearly all discussions about the economic value of a project in the product market. Once the management team has already climbed a particular learning curve, this experience translates into a well-defined assembly of skills and know-how “honed in house” that are not marketable and that become the basis of sustained competitive advantage during the life of the project. In this model, the specificity of the in-house developed knowledge is encoded by the parameters of a function that represents the responses of the team to aspiration levels proposed by central management, vis-à-vis its perceptions of market conditions. How the net present value of the project depends on those parameters reflects the weight of the human capital. This approach reveals that the contribution of the human capital component to the value of a project does not follow any simple additive rule, and that the notion of added value comes mainly from comparing the team’s performance with that of competing management teams

Suggested Citation

  • Bautista, Rafael, 2014. "A quantitative model of the human capital contribution to the value of a project," Galeras. Working Papers Series 039, Universidad de Los Andes. Facultad de Administración. School of Management.
    • Handle: RePEc:uac:somwps:039
    as

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    File URL: https://repositorio.uniandes.edu.co/bitstream/handle/1992/46359/Galeras-de-administraci%C3%B3n-39.pdf
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    References listed on IDEAS

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    1. Erio Castagnoli & Marco LiCalzi, 2005. "Expected utility without utility," Game Theory and Information 0508004, University Library of Munich, Germany.
    2. Herbert A. Simon, 1955. "A Behavioral Model of Rational Choice," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 69(1), pages 99-118.
    3. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    4. S.A. Lippman & R.P. Rumelt, 1982. "Uncertain Imitability: An Analysis of Interfirm Differences in Efficiency under Competition," Bell Journal of Economics, The RAND Corporation, vol. 13(2), pages 418-438, Autumn.
    5. Andrew W. Lo & Mark T. Mueller, 2010. "WARNING: Physics Envy May Be Hazardous To Your Wealth!," Papers 1003.2688, arXiv.org, revised Mar 2010.
    6. Raghuram G. Rajan, 2012. "Presidential Address: The Corporation in Finance," Journal of Finance, American Finance Association, vol. 67(4), pages 1173-1217, August.
    7. David J. Collis, 1994. "Research Note: How Valuable are Organizational Capabilities?," Strategic Management Journal, Wiley Blackwell, vol. 15(S1), pages 143-152, December.
    8. Michael D. Ryall, 2009. "Causal Ambiguity, Complexity, and Capability-Based Advantage," Management Science, INFORMS, vol. 55(3), pages 389-403, March.
    9. Raghuram Rajan, 2012. "The Corporation in Finance," NBER Working Papers 17760, National Bureau of Economic Research, Inc.
    10. Elaine Mosakowski, 1997. "Strategy Making Under Causal Ambiguity: Conceptual Issues and Empirical Evidence," Organization Science, INFORMS, vol. 8(4), pages 414-442, August.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Human Capital; Response function; Market-based view; Resource-based view;
    All these keywords.

    JEL classification:

    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • D29 - Microeconomics - - Production and Organizations - - - Other
    • D70 - Microeconomics - - Analysis of Collective Decision-Making - - - General
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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