{"title":"Using of Fuzzy SWARA and Fuzzy ARAS Methods to Solve Supplier Selection Problem","authors":"A. Ulutaş","doi":"10.4018/978-1-5225-8458-2.CH008","DOIUrl":"https://doi.org/10.4018/978-1-5225-8458-2.CH008","url":null,"abstract":"As the performance of suppliers directly or indirectly affects the performance of the companies with which they engage, working with the most suitable supplier has become the key to success for companies. When solving the supplier selection problem, many different criteria involving qualitative and quantitative criteria are considered. Therefore, the supplier selection problem is considered an MCDM problem. These criteria can include uncertain and imprecise data. Additionally, the judgments of many managers are considered in supplier selection problems. Thus, in this chapter, a fuzzy group integrated model including Fuzzy SWARA (step-wise weight assessment ratio analysis) and Fuzzy ARAS (additive ratio assessment) is proposed to select the best supplier. This study contributes to the extant literature since these two methods were not used in the past to solve any problems together. The proposed model is applied to a Turkish textile company.","PeriodicalId":409253,"journal":{"name":"Theoretical and Applied Mathematics in International Business","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125972946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Relationship Between R&D Expenditures and Economic Growth ın OECD Countries With Different Causality Tests","authors":"Gokhan Karhan","doi":"10.4018/978-1-5225-8458-2.CH006","DOIUrl":"https://doi.org/10.4018/978-1-5225-8458-2.CH006","url":null,"abstract":"In this chapter, the relationship between research and development (R&D) expenditures and economic growth was investigated with both Emirmahmutoğlu and Köse Causality test and the Dimitrescu and Hurlin Panel Causality test based on Rolling Windows Regression for the selected 19 OECD member countries for the period 1996-2015. The results concluded that for all panel there is a causality from economic growth to R&D expenditures. In this study, the relationship between variables was investigated using different mathematical techniques like rolling windows. According to the results of the Dimitrescu and Hurlin Panel Causality Test based on Rolling Window Regression, which is applied differently from other studies in the literature, there was a causality from economic growth to R&D expenditures in 2010. In 2011, there was causality from R&D expenditures to economic growth for all panels.","PeriodicalId":409253,"journal":{"name":"Theoretical and Applied Mathematics in International Business","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129874604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}