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How supply competency affects FDI decisions: Some insights


  • Bagchi, Prabir
  • Lejeune, Miguel A.
  • Alam, A.


Foreign investment decisions by multinational enterprises are usually arrived by considering not just the firm-specific factors, but location-specific factors are also of paramount importance. Using three supply factors specific to a country – supply environment, supply infrastructure, absorptive capacity, we construct a rating system representing the potential of a nation to attract foreign direct investment (FDI). We use the combinatorics- and Boolean-based logical analysis of data (LAD) method to capture the individual and combined impact of the supply factors on the FDI inflow. The LAD classification system is shown to be robust, cross-validating very well, thereby allowing its use for prediction purposes, and permitting the derivation of a rating system that can have various granularity levels. By linking FDI potential with supply capability related factors, the findings of this research contribute to future FDI decisions by firms as well as provide assistance and direction to strategic planners of countries that seek to enhance their attractiveness as FDI destinations. As technology matures, production processes start to lack differentiation and firms look to establish facilities globally to become more competitive. This study enhances decision-making process pinpointing areas for focused consideration.

Suggested Citation

  • Bagchi, Prabir & Lejeune, Miguel A. & Alam, A., 2014. "How supply competency affects FDI decisions: Some insights," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 239-251.
  • Handle: RePEc:eee:proeco:v:147:y:2014:i:pb:p:239-251 DOI: 10.1016/j.ijpe.2013.02.025

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    References listed on IDEAS

    1. P. Hammer & A. Kogan & M. Lejeune, 2011. "Reverse-engineering country risk ratings: a combinatorial non-recursive model," Annals of Operations Research, Springer, vol. 188(1), pages 185-213, August.
    2. Bevan, Alan & Estrin, Saul & Meyer, Klaus, 2004. "Foreign investment location and institutional development in transition economies," International Business Review, Elsevier, vol. 13(1), pages 43-64, February.
    3. Tang, Christopher S., 2006. "Perspectives in supply chain risk management," International Journal of Production Economics, Elsevier, vol. 103(2), pages 451-488, October.
    4. Hammami, Ramzi & Frein, Yannick & Hadj-Alouane, Atidel B., 2008. "Supply chain design in the delocalization context: Relevant features and new modeling tendencies," International Journal of Production Economics, Elsevier, vol. 113(2), pages 641-656, June.
    5. Riccardo Natoli & Segu Zuhair, 2011. "Rediscovering the Condorcet Approach as an Aggregation Technique for Progress Measures," Economic Papers, The Economic Society of Australia, vol. 30(3), pages 368-376, September.
    6. Rajneesh Narula & John Dunning, 2000. "Industrial Development, Globalization and Multinational Enterprises: New Realities for Developing Countries," Oxford Development Studies, Taylor & Francis Journals, vol. 28(2), pages 141-167.
    7. Franklin R Root & Ahmed A Ahmed, 1978. "The influence of policy instruments on manufacturing Direct Foreign investment in developing countries," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 9(3), pages 81-94, September.
    8. James R. Hines & Eric M. Rice, 1994. "Fiscal Paradise: Foreign Tax Havens and American Business," The Quarterly Journal of Economics, Oxford University Press, vol. 109(1), pages 149-182.
    9. Hammer, P.L. & Kogan, A. & Lejeune, M.A., 2006. "Modeling country risk ratings using partial orders," European Journal of Operational Research, Elsevier, vol. 175(2), pages 836-859, December.
    10. Lee, Chaehwa & Wilhelm, Wilbert, 2010. "On integrating theories of international economics in the strategic planning of global supply chains and facility location," International Journal of Production Economics, Elsevier, vol. 124(1), pages 225-240, March.
    11. A.B. Hammer & P.L. Hammer & I. Muchnik, 1999. "Logical analysis of Chinese labor productivity patterns," Annals of Operations Research, Springer, vol. 87(0), pages 165-176, April.
    12. Rivera-Batiz, Luis A. & Romer, Paul M., 1991. "International trade with endogenous technological change," European Economic Review, Elsevier, vol. 35(4), pages 971-1001, May.
    13. Lu, Chin-Shan & Yang, Ching-Chiao, 2007. "An evaluation of the investment environment in international logistics zones: A Taiwanese manufacturer's perspective," International Journal of Production Economics, Elsevier, vol. 107(1), pages 279-300, May.
    14. Wu, Xiaohong & Strange, Roger, 2000. "The location of foreign insurance companies in China," International Business Review, Elsevier, vol. 9(3), pages 383-398, June.
    15. David W Loree & Stephen E Guisinger, 1995. "Policy and Non-Policy Determinants of U.S. Equity Foreign Direct Investment," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 26(2), pages 281-299, June.
    16. Keller, Wolfgang, 1996. "Absorptive capacity: On the creation and acquisition of technology in development," Journal of Development Economics, Elsevier, vol. 49(1), pages 199-227, April.
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    Cited by:

    1. D׳Souza, Derrick E. & Kulkarni, Shailesh S., 2015. "A framework and model for absorptive capacity in a dynamic multi-firm environment," International Journal of Production Economics, Elsevier, vol. 167(C), pages 50-62.
    2. Han, Sang Yun & Bae, Sung Joo, 2014. "Internalization of R&D outsourcing: An empirical study," International Journal of Production Economics, Elsevier, vol. 150(C), pages 58-73.


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