Moslem Alimohammadlou
Abstract
The purpose of this study is to consider the importance role of operational and financial variables and also extract these variables in four-echelon supply chain network in a systematic mode. In addition, this study explores the direct and indirect relations of variables, clustering concepts, making ...
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The purpose of this study is to consider the importance role of operational and financial variables and also extract these variables in four-echelon supply chain network in a systematic mode. In addition, this study explores the direct and indirect relations of variables, clustering concepts, making co-occurrence networks and calculating micro and macro indices of Scientometrics using co-occurrence analyses. The methodology of the research is content analysis and Scientometrics. Data were collected from four databases (science direct, emerald, wiley, SID) between 2013-2016. Data analyzes were done by Excel, VosViewer and Nodexl. The results of the content analysis extract 106 variables that the most frequent variables were demand, profit and price. In addition, co-occurrence analysis of operational and financial variables shows high Solidarity of the network (more than 80 percent density) that the result confirms the goodness clustering of the variables. Regards to this study, researchers and practitioners can use and employ the results in difference modeling (like: mathematical modeling, structural equation model, …).
Jahanyar Bamdad Sufl; Saeed Shahbaz Moradi; Majid Salimi
Volume 3, Issue 8 , March 2005, , Pages 55-70
Abstract
Building a research questionnaire and using assessment tools play a crucial role in social, management and behavioral sciences. Scales and questionnaires are deemed wrongly as the same tools, but in spite of the similarities that are basically ...
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Building a research questionnaire and using assessment tools play a crucial role in social, management and behavioral sciences. Scales and questionnaires are deemed wrongly as the same tools, but in spite of the similarities that are basically and technichally different. Although, making a research scale or questionnaire may seem quite an easy job for son researchers, gathered results by these tools are normally miles away fro the reality. By this token, it necessitates some technical skills and scientif background. This article is to study the likert Scale, introduced by R. Likert in 193 as the most commonly used assessment tools and the most recent published researches' findings are explored to build and statically analy: the produced results developed by likert Scale.
