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Journal of Open Innovation: Technology, Market, and Complexity is published by MDPI from Volume 4 Issue 2 (2018). Previous articles were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence, and they are hosted by MDPI on mdpi.com as a courtesy and upon agreement with Springer.
Case Report

Determining performance criteria of railway market: a case study

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Gazi University Technology Faculty Civil Engineering Department Teknikokullar – Beşevler, Çankaya, 06570 Ankara, Turkey
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Gazi University Rektörlüğü, Teknoloji Fakültesi İnşaat Mühendisliği Bölümü, Teknikokullar, 06500 Ankara, Turkey
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Author to whom correspondence should be addressed.
J. Open Innov. Technol. Mark. Complex. 2018, 4(1), 6; https://doi.org/10.1186/s40852-018-0084-5
Received: 5 December 2017 / Accepted: 19 January 2018 / Published: 13 February 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
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. https://doi.org/10.1186/s40852-018-0084-5

AMA Style

Türker Ahi M, Yildiz K. Determining performance criteria of railway market: a case study. Journal of Open Innovation: Technology, Market, and Complexity. 2018; 4(1):6. https://doi.org/10.1186/s40852-018-0084-5

Chicago/Turabian Style

Türker Ahi, Muhammet, and Kürşat Yildiz. 2018. "Determining performance criteria of railway market: a case study" Journal of Open Innovation: Technology, Market, and Complexity 4, no. 1: 6. https://doi.org/10.1186/s40852-018-0084-5

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