A Delphi-based scenario analysis of Turkish logistics industry for 2023
İsmail Çağrı Özcan,
Volkan Recai Çetin and
Muhammed Bilge Kağan Albayrak
International Journal of Logistics Systems and Management, 2018, vol. 29, issue 3, 349-373
Abstract:
This study attempts to forecast future scenarios of Turkish logistics industry for 2023 which is the 100th anniversary of the establishment of the Republic of Turkey. The major findings of the two-round Delphi survey reveal that the panel experts expect: 1) new foreign logistics firms will enter Turkish logistics market where the competitive advantages of the global logistics firms over their Turkish competitors will increase and vertical integration and consolidation tendency will likely to rise; 2) Turkey will become an international logistics centre thanks to its geographical advantage but political instabilities in Turkey's neighbour countries will continue to be a problem for goods transportation; 3) share of the state-owned enterprises will decrease in logistics industry but ambiguity in authorisation process of relevant public agencies in logistics industry will maintain the situation of too many talking heads; 4) Turkey will improve its position in the logistics performance index.
Keywords: logistics industry; Delphi method; Turkey; scenario analysis. (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.inderscience.com/link.php?id=89791 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijlsma:v:29:y:2018:i:3:p:349-373
Access Statistics for this article
More articles in International Journal of Logistics Systems and Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().