Browsing by Author "Tuna, Okan"
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Article Citation - WoS: 18Citation - Scopus: 26Greening logistics centers : The evolution of industrial buying criteria towards green(Korean Association of Shipping and Logistics Inc. master@shipping.or.kr, 2013) Ceren Altuntas-Vural; Okan Tuna; Altuntas, Ceren; Tuna, Okan; Altuntaa, CerenThe rapidly globalizing world trade requires longer supply chains with higher attention on the environmental effects of logistics activities. Latest international conventions related with environmental regulations reinforce governments and corporations to adhere to environmental protection precautions. An effort to decrease the negative environmental effects of logistics activity is the geographical concentration of logistics companies which are called logistics centers. This study aims to provide a green industrial service buying approach for the industrial customers of logistics centers. The study combines green purchasing literature with previousely developed environmental performance indicators (EPIs) and develops a green industrial buying model for logistics centers. The model provides a framework for potential residents of a logistics center and supports their industrial buying processes. The model also serves as an input for green industrial service design in a logistics center. Copyright © 2013 The Korean Association of Shipping and Logistics. © 2018 Elsevier B.V. All rights reserved.Article Citation - WoS: 10Citation - Scopus: 15The prioritisation of service dimensions in logistics centres: a fuzzy quality function deployment methodology(TAYLOR & FRANCIS LTD, 2016) Ceren Altuntas Vural; Okan Tuna; Vural, Ceren Altuntas; Tuna, OkanThis study takes a customer focus that prioritises the service-offering dimensions of logistics centres (LCs) by considering potential LC customer expectations. Applying a survey and a quality function deployment methodology to logistics service providers the study explores categorises and prioritises LC customer expectations and LC service characteristics. The results indicate that customer preferences mainly prioritise infrastructure and warehouse and intermodal dimensions. However when the cost dimension is included higher utility values are delivered through soft service dimensions like value-added or standard services. LC investors or undertakers can use these results to guide their design of market offerings by using the same methodology to assess expectations in their target markets.

