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To Wait or Not to Wait? Use of the Flexibility to Postpone Investment Decisions in Theory and in Practice

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  • Azzurra Morreale

    (School of Business and Management, LUT University, 53850 Lappeenranta, Finland)

  • Luigi Mittone

    (School of Business and Management, LUT University, 53850 Lappeenranta, Finland
    Department of Economics and Management, University of Trento, 38122 Trento, Italy)

  • Thi-Thanh-Tam Vu

    (School of Business and Management, LUT University, 53850 Lappeenranta, Finland
    Department of Economics and Management, University of Trento, 38122 Trento, Italy
    International School, Vietnam National University, Hanoi 100000, Vietnam)

  • Mikael Collan

    (School of Business and Management, LUT University, 53850 Lappeenranta, Finland)

Abstract

Business sustainability and real options are closely connected, as real options are managerial flexibility that allows organizations to adapt to changes in their environment, thus making the organization more robust and economically sustainable. Studies in real options theory abound, yet there is still a lack of evidence on whether people make decisions consistently with the predictions made by real options models. We run a laboratory experiment to study the role of option value and the laboratory time required to resolve uncertainty in individuals’ decision to price and adopt an option to wait. Specifically, we compare decision makers’ choices in two investment scenarios: One with a short time to maturity (implying a low option value), and another with a longer time to maturity (implying a high option value). In the lab, both scenarios are implemented with the waiting time of twenty and sixty minutes. Our results show that decision makers deviate from the theoretical predictions, recognizing the benefit of waiting, when the value of the option is higher, or when the waiting time is shorter. Our study does not only bring more insights into real options adoption at the individual level, but also emphasizes the great potential of behavioral and experimental approach to bridge the gap between theory and practice in the real options literature.

Suggested Citation

  • Azzurra Morreale & Luigi Mittone & Thi-Thanh-Tam Vu & Mikael Collan, 2020. "To Wait or Not to Wait? Use of the Flexibility to Postpone Investment Decisions in Theory and in Practice," Sustainability, MDPI, vol. 12(8), pages 1-19, April.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:8:p:3451-:d:349412
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    References listed on IDEAS

    as
    1. Gill, David & Prowse, Victoria, 2019. "Measuring costly effort using the slider task," Journal of Behavioral and Experimental Finance, Elsevier, vol. 21(C), pages 1-9.
    2. Kozlova, Mariia, 2017. "Real option valuation in renewable energy literature: Research focus, trends and design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 180-196.
    3. Hartmann, Marcus & Hassan, Ali, 2006. "Application of real options analysis for pharmaceutical R&D project valuation--Empirical results from a survey," Research Policy, Elsevier, vol. 35(3), pages 343-354, April.
    4. Morreale, Azzurra & Mittone, Luigi & Lo Nigro, Giovanna, 2019. "Risky choices in strategic environments: An experimental investigation of a real options game," European Journal of Operational Research, Elsevier, vol. 279(1), pages 143-158.
    5. Ryan Oprea & Daniel Friedman & Steven T. Anderson, 2009. "Learning to Wait: A Laboratory Investigation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(3), pages 1103-1124.
    6. Antonella Lomoro & Giorgio Mossa & Roberta Pellegrino & Luigi Ranieri, 2020. "Optimizing Risk Allocation in Public-Private Partnership Projects by Project Finance Contracts. The Case of Put-or-Pay Contract for Stranded Posidonia Disposal in the Municipality of Bari," Sustainability, MDPI, vol. 12(3), pages 1-18, January.
    7. Luigi Ranieri & Giorgio Mossa & Roberta Pellegrino & Salvatore Digiesi, 2018. "Energy Recovery from the Organic Fraction of Municipal Solid Waste: A Real Options-Based Facility Assessment," Sustainability, MDPI, vol. 10(2), pages 1-15, January.
    8. Marek Durica & Danuse Guttenova & Ludovit Pinda & Lucia Svabova, 2018. "Sustainable Value of Investment in Real Estate: Real Options Approach," Sustainability, MDPI, vol. 10(12), pages 1-18, December.
    9. Jiangang Shi & Kaifeng Duan & Shiping Wen & Rui Zhang, 2019. "Investment Valuation Model of Public Rental Housing PPP Project for Private Sector: A Real Option Perspective," Sustainability, MDPI, vol. 11(7), pages 1-18, March.
    10. Cassimon, D. & De Backer, M. & Engelen, P.J. & Van Wouwe, M. & Yordanov, V., 2011. "Incorporating technical risk in compound real option models to value a pharmaceutical R&D licensing opportunity," Research Policy, Elsevier, vol. 40(9), pages 1200-1216.
    11. Paolo Crosetto & Antonio Filippin, 2013. "The “bomb” risk elicitation task," Journal of Risk and Uncertainty, Springer, vol. 47(1), pages 31-65, August.
    12. James Andreoni & Charles Sprenger, 2012. "Estimating Time Preferences from Convex Budgets," American Economic Review, American Economic Association, vol. 102(7), pages 3333-3356, December.
    13. Loewenstein, George, 1987. "Anticipation and the Valuation of Delayed Consumption," Economic Journal, Royal Economic Society, vol. 97(387), pages 666-684, September.
    14. Adam Borison, 2005. "Real Options Analysis: Where Are the Emperor's Clothes?," Journal of Applied Corporate Finance, Morgan Stanley, vol. 17(2), pages 17-31, March.
    15. Sungchul Kim & Ronald Giachetti & Sangsung Park, 2018. "Real Options Analysis for Acquisition of New Technology: A Case Study of Korea K2 Tank’s Powerpack," Sustainability, MDPI, vol. 10(11), pages 1-18, October.
    16. Fredrik Carlsson & Haoran He & Peter Martinsson, 2013. "Easy come, easy go," Experimental Economics, Springer;Economic Science Association, vol. 16(2), pages 190-207, June.
    17. Read, Daniel & van Leeuwen, Barbara, 1998. "Predicting Hunger: The Effects of Appetite and Delay on Choice, , , ," Organizational Behavior and Human Decision Processes, Elsevier, vol. 76(2), pages 189-205, November.
    18. Steven T. Anderson & Daniel Friedman & Ryan Oprea, 2010. "Preemption Games: Theory and Experiment," American Economic Review, American Economic Association, vol. 100(4), pages 1778-1803, September.
    19. Thaler, Richard, 1981. "Some empirical evidence on dynamic inconsistency," Economics Letters, Elsevier, vol. 8(3), pages 201-207.
    20. Hongjun Dai & Tao Sun & Wen Guo, 2016. "Brownfield Redevelopment Evaluation Based on Fuzzy Real Options," Sustainability, MDPI, vol. 8(2), pages 1-10, February.
    21. Mikael Collan & Tero Haahtela & Kalevi Kyläheiko, 2016. "On the usability of real option valuation model types under different types of uncertainty," International Journal of Business Innovation and Research, Inderscience Enterprises Ltd, vol. 11(1), pages 18-37.
    22. Guofeng Ma & Qingjuan Du & Kedi Wang, 2018. "A Concession Period and Price Determination Model for PPP Projects: Based on Real Options and Risk Allocation," Sustainability, MDPI, vol. 10(3), pages 1-21, March.
    23. David Laibson, 1997. "Golden Eggs and Hyperbolic Discounting," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 443-478.
    24. Cox, John C. & Ross, Stephen A. & Rubinstein, Mark, 1979. "Option pricing: A simplified approach," Journal of Financial Economics, Elsevier, vol. 7(3), pages 229-263, September.
    25. Murphy, Ryan O. & Andraszewicz, Sandra & Knaus, Simon D., 2016. "Real options in the laboratory: An experimental study of sequential investment decisions," Journal of Behavioral and Experimental Finance, Elsevier, vol. 12(C), pages 23-39.
    26. Jung Ho Park & Kwangsoo Shin, 2018. "R&D Project Valuation Considering Changes of Economic Environment: A Case of a Pharmaceutical R&D Project," Sustainability, MDPI, vol. 10(4), pages 1-15, March.
    27. Depositario, Dinah Pura T. & Nayga Jr., Rodolfo M. & Wu, Ximing & Laude, Tiffany P., 2009. "Should students be used as subjects in experimental auctions?," Economics Letters, Elsevier, vol. 102(2), pages 122-124, February.
    28. Filippos Exadaktylos & Antonio M. Espin & Pablo Branas-Garza, 2012. "Experimental Subjects are Not Different," Working Papers 12-11, Chapman University, Economic Science Institute.
    29. Savolainen, Jyrki, 2016. "Real options in metal mining project valuation: Review of literature," Resources Policy, Elsevier, vol. 50(C), pages 49-65.
    30. Kent D. Miller & Zur Shapira, 2004. "An empirical test of heuristics and biases affecting real option valuation," Strategic Management Journal, Wiley Blackwell, vol. 25(3), pages 269-284, March.
    31. Chen, Daniel L. & Schonger, Martin & Wickens, Chris, 2016. "oTree—An open-source platform for laboratory, online, and field experiments," Journal of Behavioral and Experimental Finance, Elsevier, vol. 9(C), pages 88-97.
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