IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v68y2015i5p1118-1126.html
   My bibliography  Save this article

Decision making in emerging markets: The Delphi approach's contribution to coping with uncertainty and equivocality

Author

Listed:
  • Winkler, Jens
  • Kuklinski, Christian Paul Jian-Wei
  • Moser, Roger

Abstract

Firms in emerging markets are particularly challenged by uncertainty and equivocality in their long-term oriented decision making. These markets are characterized by dynamic institutional contexts especially affecting the predictability of future developments in the business environment. Based on the organizational information processing theory (OIPT), we first analyze how widely applied decision theories, organizational as well as procedural approaches contribute to coping with uncertainty and equivocality in emerging markets from a decision-making perspective. Accounting for inherent information asymmetries, we then elaborate the potential of future-oriented Delphi studies to serve as an information processing aid. To demonstrate the applicability of Delphi-based studies in the context of emerging markets we draw on case examples centered on China's and India's automotive industry, India's aerospace and defense industry as well as the health insurance industry in rural India in 2020.

Suggested Citation

  • Winkler, Jens & Kuklinski, Christian Paul Jian-Wei & Moser, Roger, 2015. "Decision making in emerging markets: The Delphi approach's contribution to coping with uncertainty and equivocality," Journal of Business Research, Elsevier, vol. 68(5), pages 1118-1126.
  • Handle: RePEc:eee:jbrese:v:68:y:2015:i:5:p:1118-1126
    DOI: 10.1016/j.jbusres.2014.11.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296314003440
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jbusres.2014.11.001?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. Michael John Jones & Jason Zezhong Xiao, 2004. "Financial reporting on the Internet by 2010: a consensus view," Accounting Forum, Taylor & Francis Journals, vol. 28(3), pages 237-263, September.
    2. Graefe, Andreas & Armstrong, J. Scott, 2011. "Comparing face-to-face meetings, nominal groups, Delphi and prediction markets on an estimation task," International Journal of Forecasting, Elsevier, vol. 27(1), pages 183-195, January.
    3. Loomes, Graham & Sugden, Robert, 1982. "Regret Theory: An Alternative Theory of Rational Choice under Uncertainty," Economic Journal, Royal Economic Society, vol. 92(368), pages 805-824, December.
    4. William G Egelhoff, 1991. "Information-Processing Theory and the Multinational Enterprise," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 22(3), pages 341-368, September.
    5. Tihanyi, Laszlo & Thomas, Wayne B., 2005. "Information-processing demands and the multinational enterprise: a comparison of foreign and domestic earnings estimates," Journal of Business Research, Elsevier, vol. 58(3), pages 285-292, March.
    6. John D. Hey & Gianna Lotito & Anna Maffioletti, 2018. "The descriptive and predictive adequacy of theories of decision making under uncertainty/ambiguity," World Scientific Book Chapters, in: Experiments in Economics Decision Making and Markets, chapter 8, pages 189-219, World Scientific Publishing Co. Pte. Ltd..
    7. Nielsen, Christine & Thangadurai, Mohan, 2007. "Janus and the Delphi Oracle: Entering the new world of international business research," Journal of International Management, Elsevier, vol. 13(2), pages 147-163, June.
    8. Richard L. Daft & Robert H. Lengel, 1986. "Organizational Information Requirements, Media Richness and Structural Design," Management Science, INFORMS, vol. 32(5), pages 554-571, May.
    9. Tersine, Richard J. & Riggs, Walter E., 1976. "The delphi technique: A long-range planning tool," Business Horizons, Elsevier, vol. 19(2), pages 51-56, April.
    10. 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..
    11. von der Gracht, Heiko A. & Darkow, Inga-Lena, 2010. "Scenarios for the logistics services industry: A Delphi-based analysis for 2025," International Journal of Production Economics, Elsevier, vol. 127(1), pages 46-59, September.
    12. Jay R. Galbraith, 1974. "Organization Design: An Information Processing View," Interfaces, INFORMS, vol. 4(3), pages 28-36, May.
    13. Philippe Durance & Michel Godet, 2010. "Scenario building: Uses and abuses," Post-Print hal-02864615, HAL.
    14. Rowe, Gene & Wright, George, 1999. "The Delphi technique as a forecasting tool: issues and analysis," International Journal of Forecasting, Elsevier, vol. 15(4), pages 353-375, October.
    15. Mike Wright & Igor Filatotchev & Robert E. Hoskisson & Mike W. Peng, 2005. "Strategy Research in Emerging Economies: Challenging the Conventional Wisdom," Journal of Management Studies, Wiley Blackwell, vol. 42(1), pages 1-33, January.
    16. M. Bensaou & N. Venkatraman, 1995. "Configurations of Interorganizational Relationships: A Comparison Between U.S. and Japanese Automakers," Management Science, INFORMS, vol. 41(9), pages 1471-1492, September.
    17. Gnatzy, Tobias & Moser, Roger, 2012. "Scenario development for an evolving health insurance industry in rural India: INPUT for business model innovation," Technological Forecasting and Social Change, Elsevier, vol. 79(4), pages 688-699.
    18. Klenk, Nicole L. & Hickey, Gordon M., 2011. "A virtual and anonymous, deliberative and analytic participation process for planning and evaluation: The Concept Mapping Policy Delphi," International Journal of Forecasting, Elsevier, vol. 27(1), pages 152-165, January.
    19. Windschitl, Paul D. & Smith, Andrew R. & Rose, Jason P. & Krizan, Zlatan, 2010. "The desirability bias in predictions: Going optimistic without leaving realism," Organizational Behavior and Human Decision Processes, Elsevier, vol. 111(1), pages 33-47, January.
    20. Landeta, Jon & Barrutia, Jon, 2011. "People consultation to construct the future: A Delphi application," International Journal of Forecasting, Elsevier, vol. 27(1), pages 134-151, January.
    21. Paul Davidson, 1991. "Is Probability Theory Relevant for Uncertainty? A Post Keynesian Perspective," Journal of Economic Perspectives, American Economic Association, vol. 5(1), pages 129-143, Winter.
    22. Landeta, Jon & Barrutia, Jon, 2011. "People consultation to construct the future: A Delphi application," International Journal of Forecasting, Elsevier, vol. 27(1), pages 134-151.
    23. Luo, Yadong, 2005. "How does globalization affect corporate governance and accountability? A perspective from MNEs," Journal of International Management, Elsevier, vol. 11(1), pages 19-41, March.
    24. Klenk, Nicole L. & Hickey, Gordon M., 2011. "A virtual and anonymous, deliberative and analytic participation process for planning and evaluation: The Concept Mapping Policy Delphi," International Journal of Forecasting, Elsevier, vol. 27(1), pages 152-165.
    25. Hartman, Sandra & Lundberg, Olof & White, Michael & Barnett, Tim, 1995. "Information processing techniques in planning: An investigation of preferences of executive planners," Journal of Business Research, Elsevier, vol. 33(1), pages 13-24, May.
    26. Lipshitz, Raanan & Strauss, Orna, 1997. "Coping with Uncertainty: A Naturalistic Decision-Making Analysis," Organizational Behavior and Human Decision Processes, Elsevier, vol. 69(2), pages 149-163, February.
    27. 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.
    28. George Burt & George Wright & Ron Bradfield & George Cairns & Kees van der Heijden, 2006. "The Role of Scenario Planning in Exploring the Environment in View of the Limitations of PEST and Its Derivatives," International Studies of Management & Organization, Taylor & Francis Journals, vol. 36(3), pages 50-76, January.
    29. Franklin R Root, 1984. "Some Trends in the World Economy and their Implications for International Business Strategy," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 15(3), pages 19-23, September.
    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. Gupta, Shivam & Modgil, Sachin & Bhatt, Priyanka C. & Chiappetta Jabbour, Charbel Jose & Kamble, Sachin, 2023. "Quantum computing led innovation for achieving a more sustainable Covid-19 healthcare industry," Technovation, Elsevier, vol. 120(C).
    2. Merfeld, Katrin & Wilhelms, Mark-Philipp & Henkel, Sven & Kreutzer, Karin, 2019. "Carsharing with shared autonomous vehicles: Uncovering drivers, barriers and future developments – A four-stage Delphi study," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 66-81.
    3. Christian Julmi, 2019. "When rational decision-making becomes irrational: a critical assessment and re-conceptualization of intuition effectiveness," Business Research, Springer;German Academic Association for Business Research, vol. 12(1), pages 291-314, April.
    4. Roger Moser & Srinath Rengarajan & Gopalakrishnan Narayanamurthy, 2021. "Decision Intelligence: Creating a Fit between Intelligence Requirements and Intelligence Processing Capacities," IIM Kozhikode Society & Management Review, , vol. 10(2), pages 160-177, July.
    5. Roßmann, Bernhard & Canzaniello, Angelo & von der Gracht, Heiko & Hartmann, Evi, 2018. "The future and social impact of Big Data Analytics in Supply Chain Management: Results from a Delphi study," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 135-149.
    6. Delke, Vincent & Schiele, Holger & Buchholz, Wolfgang & Kelly, Stephen, 2023. "Implementing Industry 4.0 technologies: Future roles in purchasing and supply management," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    7. Kopyto, Matthias & Lechler, Sabrina & von der Gracht, Heiko A. & Hartmann, Evi, 2020. "Potentials of blockchain technology in supply chain management: Long-term judgments of an international expert panel," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    8. Kashan, Alireza Javanmardi & Lay, Janine & Wiewiora, Anna & Bradley, Lisa, 2022. "The innovation process in mining: Integrating insights from innovation and change management," Resources Policy, Elsevier, vol. 76(C).
    9. Gebhardt, Maximilian & Spieske, Alexander & Birkel, Hendrik, 2022. "The future of the circular economy and its effect on supply chain dependencies: Empirical evidence from a Delphi study," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    10. Rengarajan, Srinath & Moser, Roger & Narayanamurthy, Gopalakrishnan, 2021. "Strategy tools in dynamic environments – An expert-panel study," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    11. Xin Cui & Shouyu Yao & Zhenming Fang & Hua Wang, 2021. "Economic policy uncertainty exposure and earnings management: evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(3), pages 3937-3976, September.
    12. Kaartemo, Valtteri & Nyström, Anna-Greta, 2021. "Emerging technology as a platform for market shaping and innovation," Journal of Business Research, Elsevier, vol. 124(C), pages 458-468.
    13. Hyunjung Nam & Won Gyun No & Youngsu Lee, 2017. "Are Commercial Financial Databases Reliable? New Evidence from Korea," Sustainability, MDPI, vol. 9(8), pages 1-23, August.
    14. Gebhardt, Maximilian & Spieske, Alexander & Kopyto, Matthias & Birkel, Hendrik, 2022. "Increasing global supply chains’ resilience after the COVID-19 pandemic: Empirical results from a Delphi study," Journal of Business Research, Elsevier, vol. 150(C), pages 59-72.
    15. Kobos, Peter H. & Malczynski, Leonard A. & Walker, La Tonya N. & Borns, David J. & Klise, Geoffrey T., 2018. "Timing is everything: A technology transition framework for regulatory and market readiness levels," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 211-225.
    16. Li, Huanli & Wu, Yun & Cao, Dongmei & Wang, Yichuan, 2021. "Organizational mindfulness towards digital transformation as a prerequisite of information processing capability to achieve market agility," Journal of Business Research, Elsevier, vol. 122(C), pages 700-712.
    17. Winkler, Jens & Moser, Roger, 2016. "Biases in future-oriented Delphi studies: A cognitive perspective," Technological Forecasting and Social Change, Elsevier, vol. 105(C), pages 63-76.

    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. Rengarajan, Srinath & Moser, Roger & Narayanamurthy, Gopalakrishnan, 2021. "Strategy tools in dynamic environments – An expert-panel study," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    2. Moser, Roger & Kuklinski, Christian Paul Jian-Wei & Srivastava, Mohit, 2017. "Information processing fit in the context of emerging markets: An analysis of foreign SBUs in China," Journal of Business Research, Elsevier, vol. 70(C), pages 234-247.
    3. Winkler, Jens & Moser, Roger, 2016. "Biases in future-oriented Delphi studies: A cognitive perspective," Technological Forecasting and Social Change, Elsevier, vol. 105(C), pages 63-76.
    4. Spickermann, Alexander & Zimmermann, Martin & von der Gracht, Heiko A., 2014. "Surface- and deep-level diversity in panel selection — Exploring diversity effects on response behaviour in foresight," Technological Forecasting and Social Change, Elsevier, vol. 85(C), pages 105-120.
    5. Roßmann, Bernhard & Canzaniello, Angelo & von der Gracht, Heiko & Hartmann, Evi, 2018. "The future and social impact of Big Data Analytics in Supply Chain Management: Results from a Delphi study," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 135-149.
    6. repec:eee:intfor:v:27:y:2011:i:1:p:1-13 is not listed on IDEAS
    7. Wright, George & Rowe, Gene, 2011. "Group-based judgmental forecasting: An integration of extant knowledge and the development of priorities for a new research agenda," International Journal of Forecasting, Elsevier, vol. 27(1), pages 1-13, January.
    8. Aldossary, Naief A. & Rezgui, Yacine & Kwan, Alan, 2015. "Consensus-based low carbon domestic design framework for sustainable homes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 417-432.
    9. Hop, G.E. & Mourits, M.C.M. & Oude Lansink, A.G.J.M. & Saatkamp, H.W., 2014. "Future structural developments in Dutch and German livestock production and implications for contagious livestock disease control," Technological Forecasting and Social Change, Elsevier, vol. 82(C), pages 95-114.
    10. Spickermann, Alexander & Grienitz, Volker & von der Gracht, Heiko A., 2014. "Heading towards a multimodal city of the future?," Technological Forecasting and Social Change, Elsevier, vol. 89(C), pages 201-221.
    11. Makkonen, Mari & Pätäri, Satu & Jantunen, Ari & Viljainen, Satu, 2012. "Competition in the European electricity markets – outcomes of a Delphi study," Energy Policy, Elsevier, vol. 44(C), pages 431-440.
    12. Belton, Ian & MacDonald, Alice & Wright, George & Hamlin, Iain, 2019. "Improving the practical application of the Delphi method in group-based judgment: A six-step prescription for a well-founded and defensible process," Technological Forecasting and Social Change, Elsevier, vol. 147(C), pages 72-82.
    13. Förster, Bernadette & von der Gracht, Heiko, 2014. "Assessing Delphi panel composition for strategic foresight — A comparison of panels based on company-internal and external participants," Technological Forecasting and Social Change, Elsevier, vol. 84(C), pages 215-229.
    14. Engelke, Henning & Mauksch, Stefanie & Darkow, Inga-Lena & von der Gracht, Heiko A., 2015. "Opportunities for social enterprise in Germany — Evidence from an expert survey," Technological Forecasting and Social Change, Elsevier, vol. 90(PB), pages 635-646.
    15. Merfeld, Katrin & Wilhelms, Mark-Philipp & Henkel, Sven & Kreutzer, Karin, 2019. "Carsharing with shared autonomous vehicles: Uncovering drivers, barriers and future developments – A four-stage Delphi study," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 66-81.
    16. Frederik Dahlmann & Jens K. Roehrich, 2019. "Sustainable supply chain management and partner engagement to manage climate change information," Business Strategy and the Environment, Wiley Blackwell, vol. 28(8), pages 1632-1647, December.
    17. Alyami, Saleh. H. & Rezgui, Yacine & Kwan, Alan, 2013. "Developing sustainable building assessment scheme for Saudi Arabia: Delphi consultation approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 43-54.
    18. Xinwei Li & Wenjuan Zeng & Mao Xu, 2022. "The Moderating Role of IT Capability on Green Innovation and Ambidexterity: Towards a Corporate Sustainable Development," Sustainability, MDPI, vol. 14(24), pages 1-20, December.
    19. Roger Moser & Srinath Rengarajan & Gopalakrishnan Narayanamurthy, 2021. "Decision Intelligence: Creating a Fit between Intelligence Requirements and Intelligence Processing Capacities," IIM Kozhikode Society & Management Review, , vol. 10(2), pages 160-177, July.
    20. Sebastian Hinderer & Leif Brändle & Andreas Kuckertz, 2021. "Transition to a Sustainable Bioeconomy," Sustainability, MDPI, vol. 13(15), pages 1-16, July.
    21. Barrios, Maite & Guilera, Georgina & Nuño, Laura & Gómez-Benito, Juana, 2021. "Consensus in the delphi method: What makes a decision change?," Technological Forecasting and Social Change, Elsevier, vol. 163(C).

    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:eee:jbrese:v:68:y:2015:i:5:p:1118-1126. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbusres .

    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.