Outsourcing some of the logistic activities is a useful strategy for companies in recent years. This makes it possible for firms to concentrate on their main issues and processes and presents facility to improve logistics performance, to reduce costs, and to improve quality. Therefore provider selection and evaluation in third-party logistics become important activities for companies. Making a strategic decision like this is significantly hard and crucial. In this study we proposed a fuzzy multicriteria decision making (MCDM) approach to effectively select the most appropriate provider. First we identify the provider selection criteria and build the hierarchical structure of decision model. After building the hierarchical structure we determined the selection criteria weights by using fuzzy analytical hierarchy process (AHP) technique. Then we applied fuzzy technique for order preference by similarity to ideal solution (TOPSIS) to obtain final rankings for providers. And finally an illustrative example is also given to demonstrate the effectiveness of the proposed model.
UNHCR’ın istatistiklerine göre 2020’nin sonunda toplam 82,4 milyon zorla yerinden edilmiş kişi bulunmaktadır ve bunların 26,2 milyonu mülteci statüsündedir. Ayrıca mültecilerin de %86’sı kalkınmakta olan ülkelerde yaşamaktadırlar. 2011’den önce göç yazınında daha çok Avrupa’daki Türk göçmenler ve şehirleşme bağlamlarında ele alınan Türkiye, günümüzde en fazla mülteciye ve mülteci çocuğa ev sahipliği yapan ülke olarak göçün ekonomiye etkisi konusunda incelenmesi gereken önemli araştırma sahalarından biri haline gelmiştir.
Small and medium sized enterprises (SMEs) account for a considerable proportion of economic development and job creation, making their survival and growth crucial, especially for developing countries. As innovation is one of the vital sources of prosperity for those establishments, it would be extremely helpful to identify the factors that promote or hinder it. Analyzing the World Bank's Regional Enterprise Survey, this paper investigates the determinants of innovation activities of Turkish SMEs and aims to contribute to the knowledge on those businesses in the context of a developing country. Our analyses show that the main factors that affect SMEs being innovative in Turkey are their size, ownership type, experience in the international market, obtaining government grants, existence of women in the ownership and the governance environment, and -in particular -corruption and labor regulations.
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