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What Drives Strategic Behavior? A Framework to Explain and Predict SMEs' Transition to Sustainable Production Systems

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  • Kalogeras, Nikos
  • Pennings, Joost M.E.
  • Garcia, Philip

Abstract

The strategic choices of Small and Medium Enterprises in the agribusiness sector are fraught with large cost and revenue uncertainties. The transition to a new production system implies that SMEs must re-allocate resources and develop new strategies to achieve market goals. We highlight the agricultural, marketing and management literature on decision-making under risk for strategic decisions. Subsequently we discuss the various elicitation techniques to measure decision-makers' utility functions. That review indicates that one is able to measure the global utility function in a reliable and valid way. Particularly the measures based on experiments and rooted in expected utility framework seem to perform well. Furthermore, we develop various research propositions that deal with the factors that influence SMEs strategic decision whether or not to switch to sustainable production systems. We propose to investigate the global shape of the utility function of SMEs as it drives strategic decisions, and the factors that influence these decisions.

Suggested Citation

  • Kalogeras, Nikos & Pennings, Joost M.E. & Garcia, Philip, 2006. "What Drives Strategic Behavior? A Framework to Explain and Predict SMEs' Transition to Sustainable Production Systems," 2006 Annual meeting, July 23-26, Long Beach, CA 21354, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea06:21354
    DOI: 10.22004/ag.econ.21354
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    1. Joseph S. Pliskin & Clyde H. Beck, Jr., 1976. "A Health Index for Patient Selection: A Value Function Approach with Application to Chronic Renal Failure Patients," Management Science, INFORMS, vol. 22(9), pages 1009-1021, May.
    2. Jeffrey C. Shuman & John A. Seeger, 1986. "The Theory and Practice of Strategic Management in Smaller Rapid Growth Firms," Entrepreneurship Theory and Practice, , vol. 11(1), pages 7-18, July.
    3. James S. Dyer & Rakesh K. Sarin, 1982. "Relative Risk Aversion," Management Science, INFORMS, vol. 28(8), pages 875-886, August.
    4. Joost M. E. Pennings & Brian Wansink, 2004. "Channel Contract Behavior: The Role of Risk Attitudes, Risk Perceptions, And Channel Members' Market Structures," The Journal of Business, University of Chicago Press, vol. 77(4), pages 697-724, October.
    5. Robert K. Lindner & Melissa Gibbs, 1990. "A Test Of Bayesian Learning From Farmer Trials Of New Wheat Varieties," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 34(1), pages 21-38, April.
    6. Sarin, Rakesh K. & Weber, Martin, 1993. "Risk-value models," European Journal of Operational Research, Elsevier, vol. 70(2), pages 135-149, October.
    7. 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..
    8. Joost M.E. Pennings & Ale Smidts, 2000. "Assessing the Construct Validity of Risk Attitude," Management Science, INFORMS, vol. 46(10), pages 1337-1348, October.
    9. Matthew Rabin, 2000. "Risk Aversion and Expected-Utility Theory: A Calibration Theorem," Econometrica, Econometric Society, vol. 68(5), pages 1281-1292, September.
    10. Lindner, Robert K. & Gibbs, Melissa, 1990. "A Test Of Bayesian Learning From Farmer Trials Of New Wheat Varieties," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 34(1), pages 1-18, April.
    11. Green, Paul E & Srinivasan, V, 1978. "Conjoint Analysis in Consumer Research: Issues and Outlook," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 5(2), pages 103-123, Se.
    12. Jutta Roosen & David A. Hennessy, 2003. "Tests for the Role of Risk Aversion on Input Use," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(1), pages 30-43.
    13. Rakesh K. Sarin & Martin Weber, 1993. "Effects of Ambiguity in Market Experiments," Management Science, INFORMS, vol. 39(5), pages 602-615, May.
    14. Gerald A. Carlson, 1970. "A Decision Theoretic Approach to Crop Disease Prediction and Control," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 52(2), pages 216-223.
    15. Barry K. Goodwin & Ted C. Schroeder, 1994. "Human Capital, Producer Education Programs, and the Adoption of Forward-Pricing Methods," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(4), pages 936-947.
    16. Joost M.E. Pennings & Philip Garcia, 2001. "Measuring Producers' Risk Preferences: A Global Risk-Attitude Construct," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(4), pages 993-1009.
    17. R. R. Officer & A. N. Halter, 1968. "Utility Analysis in a Practical Setting," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 50(2), pages 257-277.
    18. Just, Richard E. & Pope, Rulon D., 1978. "Stochastic specification of production functions and economic implications," Journal of Econometrics, Elsevier, vol. 7(1), pages 67-86, February.
    19. 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.
    20. Nicholas Barberis & Ming Huang, 2001. "Mental Accounting, Loss Aversion, and Individual Stock Returns," Journal of Finance, American Finance Association, vol. 56(4), pages 1247-1292, August.
    21. Matthew Rabin & Richard H. Thaler, 2013. "Anomalies: Risk aversion," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 27, pages 467-480, World Scientific Publishing Co. Pte. Ltd..
    22. John T. Scott & Chester B. Baker, 1972. "A Practical Way to Select an Optimum Farm Plan Under Risk," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 54(4_Part_1), pages 657-660.
    23. Joost M. E. Pennings & Ale Smidts, 2003. "The Shape of Utility Functions and Organizational Behavior," Management Science, INFORMS, vol. 49(9), pages 1251-1263, September.
    24. Peter H. Farquhar, 1984. "State of the Art---Utility Assessment Methods," Management Science, INFORMS, vol. 30(11), pages 1283-1300, November.
    25. Jehoshua Eliashberg, 1980. "Consumer Preference Judgments: An Exposition with Empirical Applications," Management Science, INFORMS, vol. 26(1), pages 60-77, January.
    26. L. J. Bourgeois, III & Kathleen M. Eisenhardt, 1988. "Strategic Decision Processes in High Velocity Environments: Four Cases in the Microcomputer Industry," Management Science, INFORMS, vol. 34(7), pages 816-835, July.
    27. Joost M.E. Pennings & Raymond M. Leuthold, 2000. "The Role of Farmers' Behavioral Attitudes and Heterogeneity in Futures Contracts Usage," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(4), pages 908-919.
    28. Nicholas Barberis & Ming Huang, 2001. "Mental Accounting, Loss Aversion, and Individual Stock Returns," NBER Working Papers 8190, National Bureau of Economic Research, Inc.
    29. Elke U. Weber & Richard A. Milliman, 1997. "Perceived Risk Attitudes: Relating Risk Perception to Risky Choice," Management Science, INFORMS, vol. 43(2), pages 123-144, February.
    30. Atwood, Joseph A. & Buschena, David E., 2003. "Evaluating the magnitudes of financial transactions costs on risk behavior," Agricultural Systems, Elsevier, vol. 75(2-3), pages 235-249.
    31. Levy, H & Markowtiz, H M, 1979. "Approximating Expected Utility by a Function of Mean and Variance," American Economic Review, American Economic Association, vol. 69(3), pages 308-317, June.
    32. Ale Smidts, 1997. "The Relationship Between Risk Attitude and Strength of Preference: A Test of Intrinsic Risk Attitude," Management Science, INFORMS, vol. 43(3), pages 357-370, March.
    33. Schoemaker, Paul J H, 1982. "The Expected Utility Model: Its Variants, Purposes, Evidence and Limitations," Journal of Economic Literature, American Economic Association, vol. 20(2), pages 529-563, June.
    34. John W. Payne & Dan J. Laughhunn & Roy Crum, 1980. "Translation of Gambles and Aspiration Level Effects in Risky Choice Behavior," Management Science, INFORMS, vol. 26(10), pages 1039-1060, October.
    35. Mohammed Abdellaoui, 2000. "Parameter-Free Elicitation of Utility and Probability Weighting Functions," Management Science, INFORMS, vol. 46(11), pages 1497-1512, November.
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