Next Article in Journal
Enhancing green loyalty towards apparel retail stores: A cross-generational analysis on an emerging market
Previous Article in Journal
Blockchain government - a next form of infrastructure for the twenty-first century
Article Menu

Article Versions

Export Article

Open AccessCase Report
J. Open Innov. Technol. Mark. Complex. 2018, 4(1), 6; (registering DOI)

Determining performance criteria of railway market: a case study

Gazi University Technology Faculty Civil Engineering Department Teknikokullar – Beşevler, Çankaya, 06570 Ankara, Turkey
Gazi University Rektörlüğü, Teknoloji Fakültesi İnşaat Mühendisliği Bölümü, Teknikokullar, 06500 Ankara, Turkey
Author to whom correspondence should be addressed.
Received: 5 December 2017 / Accepted: 19 January 2018 / Published: 13 February 2018
PDF [2794 KB, uploaded 6 March 2018]


This paper classifies a case study on railway clusters allowing analysis of competitiveness performance criteria including the innovation capability of industries via different models. Data are collected from the Turkish railway industrial cluster; where 130 companies are located. Porters’ industries Life Cycle Evolution, Diamond, Five Forces Models and SWOT Analysis are applied to explore which criteria influence at most on the cluster companies’ competitiveness performances and innovation capability based on operational conditions. Porter’s Life Cycle analysis showed that the cluster is between introduction and growth phase. This phase has typical characteristics such as high investment demand on R&D, lack of qualified staff which could be compared to the performance criteria evaluated from the other three models. Another aim was to research the consistency and difference between the applied different dimension scaled models. Delivery time of the suppliers, qualified staff, capital range of the companies and physical enlargement area of the production plants were found to be the most important criteria in operational view of the competitiveness. Another result is that the applied tools are producing similar and consistent results independently from their dimension scales.
Keywords: Railway; Cluster; Innovation; Competition; Performance criteria; Decision tools Railway; Cluster; Innovation; Competition; Performance criteria; Decision tools
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Türker Ahi, M.; Yildiz, K. Determining performance criteria of railway market: a case study. J. Open Innov. Technol. Mark. Complex. 2018, 4, 6.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Metrics

Article Access Statistics



[Return to top]
J. Open Innov. Technol. Mark. Complex. EISSN 2199-8531 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top