A decision support methodology to enhance the competitiveness of the Turkish automotive industry

Füsun Ülengin*, Şule Önsel, Emel Aktas, Özgür Kabak, Özay Özaydin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

31 Citations (Scopus)

Abstract

Three levels of competitiveness affect the success of business enterprises in a globally competitive environment: the competitiveness of the company, the competitiveness of the industry in which the company operates and the competitiveness of the country where the business is located. This study analyses the competitiveness of the automotive industry in association with the national competitiveness perspective using a methodology based on Bayesian Causal Networks. First, we structure the competitiveness problem of the automotive industry through a synthesis of expert knowledge in the light of the World Economic Forum's competitiveness indicators. Second, we model the relationships among the variables identified in the problem structuring stage and analyse these relationships using a Bayesian Causal Network. Third, we develop policy suggestions under various scenarios to enhance the national competitive advantages of the automotive industry. We present an analysis of the Turkish automotive industry as a case study. It is possible to generalise the policy suggestions developed for the case of Turkish automotive industry to the automotive industries in other developing countries where country and industry competitiveness levels are similar to those of Turkey.

Original languageEnglish
Pages (from-to)789-801
Number of pages13
JournalEuropean Journal of Operational Research
Volume234
Issue number3
DOIs
Publication statusPublished - 1 May 2014

Funding

This research is supported by the Turkish Federation of Industrial Associations (SEDEFED), the TÜSİAD Sabanci University Competitiveness Forum (REF), and the Turkish Automotive Manufacturers Association (OSD). We also thank three anonymous referees who have provided invaluable suggestions to improve the presentation of our research.

FundersFunder number
SEDEFED
Turkish Automotive Manufacturers Association
Turkish Federation of Industrial Associations
TÜSİAD Sabanci University
Office of the Secretary of Defense

    Keywords

    • Automotive industry
    • Bayesian causal network
    • Competitiveness
    • Decision support systems
    • Turkey

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