Jafar Rezaei; Mansour Esmaeilzadeh
Volume 6, Issue 17 , September 2007, Pages 1-22
Abstract
This paper compares different multi-criteria inventory classification models. The purpose of this paper is to introduce a simple and applicable quantitative approach for this comparison. This model is capable to compare a large number of inventor)' classification models. The selected models for this ...
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This paper compares different multi-criteria inventory classification models. The purpose of this paper is to introduce a simple and applicable quantitative approach for this comparison. This model is capable to compare a large number of inventor)' classification models. The selected models for this comparison study are classical model, Weighted Linear Optimization, Fan & Zhou Model and Ng Model. We select 47 Stock Keeping Units (SKUs) to compare the models and select the best model using the ‘fitness average approach'. The results show the robustness of Wan Lung model and weakness of classical model.
Nastaran Hajiheydari; Mohammad Bakhtiar Nasrabadi; Hamidreza Esmaili Givi; Mohammad Soltani Delgosha
Volume 6, Issue 17 , September 2007, Pages 23-47
Abstract
The main purpose of this research is to develop and test a model to enhance our understanding of “How consumers evaluate online and offline channels and how the formation of online and offline purchase intensions and perceived value increase”. In the presented model, service quality, merchandise ...
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The main purpose of this research is to develop and test a model to enhance our understanding of “How consumers evaluate online and offline channels and how the formation of online and offline purchase intensions and perceived value increase”. In the presented model, service quality, merchandise duality and monetary price are considered as the factors that form value for money, and perceived risk. Time / effort cost, enjoyment and value for money are considered as the factors that form channel purchase intension. The study population consists of online and offline customers known bookstores in Tehran. After information collection through Questionnaire and library studies, the Lisrel software was used to analyze data and model. This study is based on Correlation-survey research method (especially structural equation modeling method). The results showed that channel purchase intensions and how consumers evaluate online and offline channels almost form in accordance with the presented model in this study.
Rohollah sohrabi; AbolfazI Kazazi; Jahanyar B. Soofi
Volume 6, Issue 17 , September 2007, Pages 49-73
Abstract
Although the importance of Agility in supply chain in many different industries is clear, and being responsive, customer oriented and, flexible is obvious in management and organizations, Iran big oil companies do not pay enough attention to designing and implementation of their supply chains. The purpose ...
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Although the importance of Agility in supply chain in many different industries is clear, and being responsive, customer oriented and, flexible is obvious in management and organizations, Iran big oil companies do not pay enough attention to designing and implementation of their supply chains. The purpose of this article is conceptualizing and defining significant criteria and attributes for Supply Chain Agility Evaluation and measurement in National Iranian Oil Company the case of NISOC. For that acceptable literature review, qualitative research methods such as Delphi and case study research and quantitative methods such as statistical and structural equation modeling (SEM) have been used.
Hasan Ghasemi; Seyed Mohammad A’arabi; NabiAllah Dehghan
Volume 6, Issue 17 , September 2007, Pages 75-105
Abstract
This paper is consequence of field survey that is done for studying the effect of alignment between international marketing strategy and organizational contextual dimensions and international marketing subsystems on export performance of engineering and technical services firms.
The statistical population ...
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This paper is consequence of field survey that is done for studying the effect of alignment between international marketing strategy and organizational contextual dimensions and international marketing subsystems on export performance of engineering and technical services firms.
The statistical population is engineering and technical services exporter firms that is selected 41 firms as statistical sample by judgment sampling of nonprobability sampling methods. This sample covers 95 percent of Iranian engineering and technical services export. The results illustrate the internal and external alignment variables affect export performance of engineering and technical services firms, separately and mutually. Also, the results show that the effect of internal alignment is more than the effect of external alignment. In addition, the research quantitative model come from multiple stepwise regression analysis displays that the portion of internal alignment variable in predicting export performance is .225, but the portion of external alignment variable is .162 that this result appreciated the more effect of internal alignment on firms export performance.
Peyman Akhavan; Mir Ali seyed Nahavi; Ahmad Ebrahimi; Arash Bakhsha; Mohammad R. Zahedi
Volume 6, Issue 17 , September 2007, Pages 107-133
Abstract
This research is done for more knowing about automobile industries entrepreneurship environment and has presented the comprehensive model for starting the entrepreneurship in this field. This model is extracted from interviewing Iranian auto parts manufacturing entrepreneurs and most information has ...
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This research is done for more knowing about automobile industries entrepreneurship environment and has presented the comprehensive model for starting the entrepreneurship in this field. This model is extracted from interviewing Iranian auto parts manufacturing entrepreneurs and most information has collected from them directly. In this model, starting the entrepreneurship process is related to entrepreneurial potential, tendency to entrepreneurship and having a new idea simultaneously. The factors which affect these variables have shown in three categories: individual characteristics, past records and environment (combined attitudes from psychology, sociology and economical environment). This paper is based on a practical research and a Descriptive- Survey method has been used. The sampling population has extracted from auto parts manufacturing industries and the random sampling method has been used too. Therefore, the sample size has been calculated 30, based on the statistical method. Also, in order to evaluate a part of this model (entrepreneurial potential and the in fluencies factors on it), questionnaires have been used and the related perpetuity has been calculated 82% based on Cronbach's a (alpha). Experiences and related analysis have shown that tendency and interest rate of auto parts manufacturing entrepreneurs is high (72.4%). Also, it has been found that the entrepreneurs use some factors like: individual characteristics (73%), Technical knowledge (61%) and organizational structure (61%) in their recruitment process consecutively. Also, the best motivational tools were used by entrepreneurs in their works are as follows:
Remuneration (94%), Value creating (53%) and Promotion (47%). At the end of this paper, based on the findings, the native description of entrepreneurship is presented.
Maghsoud Amiri; Amir Alimi; Seyed Hossein Abtahi
Volume 6, Issue 17 , September 2007, Pages 135-151
Abstract
Data envelopment analysis model is a model for calculating the efficiency of decision making units (DMUs). In previous models there are some weaknesses that the most important one is changing weights of inputs and outputs in model that lead to evaluate efficiencies of DMUs with different weights. The ...
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Data envelopment analysis model is a model for calculating the efficiency of decision making units (DMUs). In previous models there are some weaknesses that the most important one is changing weights of inputs and outputs in model that lead to evaluate efficiencies of DMUs with different weights. The important subject is that How we should evaluate all of decision making units with one set of weights and optimize their efficiencies simultaneously. This paper aims to present a new model that eliminates the weaknesses of previous models. Odeveloped model is designed based on multi objective decision making models and this model is solved with fuzzy solution method of multi objective decision making models and leads to creating common weights. The main object of research that was better ranking of DMUs rather than basic models have been done by using this model and this is showed with solving the model on an example.
M.J. Tarokh; K. Sharifiyan
Volume 6, Issue 17 , September 2007, Pages 153-181
Abstract
Financial corporation and banks are sort of organization that due to specialty of their work, are very needy to customer management process ; and data mining is one of the best available tools for them to asses definition and behavior forecast of their customers.
Data mining is improving very fast and ...
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Financial corporation and banks are sort of organization that due to specialty of their work, are very needy to customer management process ; and data mining is one of the best available tools for them to asses definition and behavior forecast of their customers.
Data mining is improving very fast and due to presence of vide range of data using computer is essential. Nets & powerful algorithms are used to emplace of manual analysis to derive knowledge & information from data.
In this paper: “Mellat Bank” and its information bank of different division has been evaluated after data extraction from information bank and noise distortion , k means algorithm and fuzzy - k - means algorithm standard test of cluster's compression were used for customer clustering in groups. Determination of optimum number of clusters is done by applying cluster quality assay function. Afterward was used to determine the quality of gained clusters. Then the value of each cluster was determined through FRM model. At the end of project for clusters analysis and define appropriate strategy for each cluster; the pyramid of customer value was used.
Jamshid Salehi Sadaghiani
Volume 6, Issue 17 , September 2007, Pages 183-200
Abstract
In optimizing an investment portfolio, the aim is to determine optimal value of per security, where prepares the minimum risk and the maximum return. One of the methods to measure risk of portfolio is Value at Risk (VaR). In the VaR method, risk of securities portfolio is estimated for a time horizon ...
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In optimizing an investment portfolio, the aim is to determine optimal value of per security, where prepares the minimum risk and the maximum return. One of the methods to measure risk of portfolio is Value at Risk (VaR). In the VaR method, risk of securities portfolio is estimated for a time horizon in future. In recent years, volatilities of exchange rate have been led to bankruptcy of many important industries of Iran. Hence in this paper, the investment risk in an exchange portfolio concluding five main exchange in the trades market of Iran is measured by using the VaR method and will be determined the weight optimal value of per security in exchange portfolio through to minimize the risk of investment portfolio.
