Safar Fazli; Zahra Amin Afshar
Abstract
The purpose of this study is investigating the effect of supply chain drivers on Qazvin manufacturing companies’ supply chain integration and company performance. The organizational culture has been used as a moderating factor in this relation. The study has 6 hypotheses in which data are gathered ...
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The purpose of this study is investigating the effect of supply chain drivers on Qazvin manufacturing companies’ supply chain integration and company performance. The organizational culture has been used as a moderating factor in this relation. The study has 6 hypotheses in which data are gathered with questionnaire form 79 supply chain managers, as required sample, using structural equation model with the partial least square analyzed. The findings revealed that internal drivers have positive impact on supply chain integration. Also none of the dimensions of external drivers have positive impact on integration. As the results show, organizational culture mediates the relation between external drivers and supply chain integration, but does not mediate the relation between internal drivers and integration. Eventually, supply chain integration has a positive and significant impact on company financial and operational performance. The results of this study provide a comprehensive understanding to supply chain managers and lead them to identify effective factors on supply chain integration and improving company performance
Safar Fazli; Rasool Taghizadeh
Volume 8, Issue 19 , December 2010, , Pages 125-146
Abstract
Portfolio selection problem is an important field of capital assignment and budgeting in managerial finance and had proposed patterns for optimal selection of portfolio from the past. For this purpose we suggest a fuzzy ranking method with mathematical approach. This research is a survey in Tehran stock ...
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Portfolio selection problem is an important field of capital assignment and budgeting in managerial finance and had proposed patterns for optimal selection of portfolio from the past. For this purpose we suggest a fuzzy ranking method with mathematical approach. This research is a survey in Tehran stock exchange. Statistical population inclusive 50 superior companies of Tehran stock exchange in 1387. By survey of financial data of these companies, 20 companies have selected and weekly returns in 1387 have been calculated for them. In first stage, 20,000 random portfolios have been generated by a computer program. Each of these portfolios is composed of 20 companies that quantity of investment in each of them are between 0% and 100% and selected randomly. The uncertainty on the returns of each portfolio is approximated by means of a trapezoidal fuzzy number. A rank index that accounts for both expected return and risk is defined, allowing the decision-maker to compare different portfolios and select best portfolio. Conclusions showed that, according to risk aversion of investor, several optimal portfolios can be selected. In this article we suggested 3 optimal portfolios.
Safar Fazli; Saleh Mansouri
Volume 6, Issue 15 , March 2007, , Pages 1-24
Abstract
Decision making is the essence of management and the manager is the one who can decide any time. Nowadays, the Analytical Hierarchy Process (AHP) and Data Envelopment Analysis (DEA) are considered as the most eminent tactics of decision making. The aim of this study is to compare the techniques of DEA ...
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Decision making is the essence of management and the manager is the one who can decide any time. Nowadays, the Analytical Hierarchy Process (AHP) and Data Envelopment Analysis (DEA) are considered as the most eminent tactics of decision making. The aim of this study is to compare the techniques of DEA and the process of AHP and also measuring their potency in compare with each other in a field study. The platform of this survey was laid through identifying the key decision-making indicators regarding stock exchange from investors' side and recording the exchange information in a one-year period. Thereafter, by utilizing these techniques, these indicators have been prioritized. The results of the study revealed no significant difference in two prioritizing method. AHP has shown higher potentiality in prioritizing the key performance indicators in compare with DEA.
