Allameh Tabataba'i University Industrial Management Studies 2251-8029 9 25 2012 06 21 Impact of Supply chain integration on competitive capabilities in Food and Beverages Industries Impact of Supply chain integration on competitive capabilities in Food and Beverages Industries 1 26 2007 FA Shamsodin Nazemi Fatemeh Kharidar Journal Article 2011 01 19 This study examines the impact of supply chain integration (SCI) dimensions on competitive capabilities. For this purpose, the relationship between dimensions of SCI (internal integration and external integration including supplier integration and customer integration) and competitive capabilities (cost, quality, delivery, product innovation) were examined using a conceptual model. The data was collected from top managers of 44 medium and large enterprises of Mashhad Food and Beverages Industries by survey approach. In this study, partial least squares method by Smart pls software and Hulland procedures are utilized to evaluate the measurement and structural models. The results indicated that internal integration is a prerequisite for external integration. The study also revealed that, internal integration and external integration have positive impact on improvement of firms’ competitive capabilities. It was further noticed that, internal integration improves competitive capabilities through external integration This study examines the impact of supply chain integration (SCI) dimensions on competitive capabilities. For this purpose, the relationship between dimensions of SCI (internal integration and external integration including supplier integration and customer integration) and competitive capabilities (cost, quality, delivery, product innovation) were examined using a conceptual model. The data was collected from top managers of 44 medium and large enterprises of Mashhad Food and Beverages Industries by survey approach. In this study, partial least squares method by Smart pls software and Hulland procedures are utilized to evaluate the measurement and structural models. The results indicated that internal integration is a prerequisite for external integration. The study also revealed that, internal integration and external integration have positive impact on improvement of firms’ competitive capabilities. It was further noticed that, internal integration improves competitive capabilities through external integration

https://jims.atu.ac.ir/article_2007_12c126e4431692314b72429691768823.pdf

Allameh Tabataba'i University Industrial Management Studies 2251-8029 9 25 2012 06 21 A Decision Making Framework for Strategic Outsourcing A Decision Making Framework for Strategic Outsourcing 27 50 2008 FA Laya Olfat Masoud Barati Mohammad Reza Valadi Journal Article 2010 07 20 Nowadays one of the most important decisions for the companies is whether to outsource a part of the organizations’ value chain or not. Some studies show that majority of them, consider outsourcing as a cost reduction approach, not as a strategic decision. Some researches have paid attention to this concept. This paper presents a decision making framework which consists of five criteria, thirty scenarios and eight strategies. According to this framework, activities outsourcing decisions can be made. This framework has been applied for thirty three manufacturing sets of Samand automotive. The suggested option for twenty six of them is “Supplier Development and Outsourcing”, for five sets is “Insourcing”. “Partial Outsourcing” is suggested for one set and “Spin off” for another one. Nowadays one of the most important decisions for the companies is whether to outsource a part of the organizations’ value chain or not. Some studies show that majority of them, consider outsourcing as a cost reduction approach, not as a strategic decision. Some researches have paid attention to this concept. This paper presents a decision making framework which consists of five criteria, thirty scenarios and eight strategies. According to this framework, activities outsourcing decisions can be made. This framework has been applied for thirty three manufacturing sets of Samand automotive. The suggested option for twenty six of them is “Supplier Development and Outsourcing”, for five sets is “Insourcing”. “Partial Outsourcing” is suggested for one set and “Spin off” for another one.

https://jims.atu.ac.ir/article_2008_212a8188f02c1fcb20f67bafdd76d010.pdf

Allameh Tabataba'i University Industrial Management Studies 2251-8029 9 25 2012 06 21 Knowledge management systems implementation Gaps survey by means of gap analysis technique Knowledge management systems implementation Gaps survey by means of gap analysis technique 51 84 2009 FA Mohammad Jafar Tarokh Rahmat Mirzai Naghmeh Alvandi Journal Article 2010 05 12 Knowledge has widely been acknowledged as one of the most important factors for corporate competitiveness, and we have witnessed an explosion of IT solutions claiming to provide support for knowledge management. Due to the rapid development of knowledge and information technology (IT), business environments have become much more complicated. In order to cope with ensuing complications, enterprises ought to incessantly innovate; otherwise, it will be very difficult for them to survive in the marketplace. Hence, IT can help a firm aiming to gain a competitive advantage. In addition, many studies have argued that business value comes mainly from intangible assets, such as knowledge. Thus, knowledge workers will be able to replace clerical workers as the new mainstream of manpower resources, a field in which the development of IT is the major force for change in knowledge management system (KMS). Therefore, based on the definition of the six gaps in KMS, this study explores the role and effect of IT in the implementation of KMS in the IK company. Each Gap is discussed and the results of an empirical assessment employed to evaluate them are then reported in order to identify each gap's situation in a company and which one has to be improved first. moreover, relationships between KMS and IT are analyzed and demonstrated by means of the literature reviews, expert interviews and questionnaire analyses. Furthermore, this study discusses how to enhance the effectiveness and efficiency of implementing KMS through appropriate IT tools. Knowledge has widely been acknowledged as one of the most important factors for corporate competitiveness, and we have witnessed an explosion of IT solutions claiming to provide support for knowledge management. Due to the rapid development of knowledge and information technology (IT), business environments have become much more complicated. In order to cope with ensuing complications, enterprises ought to incessantly innovate; otherwise, it will be very difficult for them to survive in the marketplace. Hence, IT can help a firm aiming to gain a competitive advantage. In addition, many studies have argued that business value comes mainly from intangible assets, such as knowledge. Thus, knowledge workers will be able to replace clerical workers as the new mainstream of manpower resources, a field in which the development of IT is the major force for change in knowledge management system (KMS). Therefore, based on the definition of the six gaps in KMS, this study explores the role and effect of IT in the implementation of KMS in the IK company. Each Gap is discussed and the results of an empirical assessment employed to evaluate them are then reported in order to identify each gap's situation in a company and which one has to be improved first. moreover, relationships between KMS and IT are analyzed and demonstrated by means of the literature reviews, expert interviews and questionnaire analyses. Furthermore, this study discusses how to enhance the effectiveness and efficiency of implementing KMS through appropriate IT tools.

https://jims.atu.ac.ir/article_2009_321bf2d262701f4793d4697c9c37e7aa.pdf

Allameh Tabataba'i University Industrial Management Studies 2251-8029 9 25 2012 06 21 Classification of Credit Applicants of Banking Systems Using Data Mining and Fuzzy Logic Classification of Credit Applicants of Banking Systems Using Data Mining and Fuzzy Logic 85 107 2010 FA Mohammad Taghi Taghavifard Ahmad Nadali Journal Article 2009 12 22 This research study aims at using Data Mining and Fuzzy Logic approaches to classify the credit scoring of banking system applicants as to cover uncertainties and ambiguity connected with applicant classes and also variables that affect their behavior. The methodology, according to a standard Data Mining process, is to collect and refine the client data, then those variables which are in linguistic forms are converted to fuzzy variables under the supervision of banking experts and final data are modeled using Fuzzy Decision Tree, subsequently. The unfuzzy data are also modeled using the other algorithms. The results of the study suggest that as far as client distinction accuracy is concerned Fuzzy Decision Tree produces better results compared to Traditional Trees, Neural Networks, and statistical procedures such as Logistic Regression and Bayesian Network. However, it is not as accurate as Support Vector Machine and Genetic Tree. On the other hand, Fuzzy Decision Tree technique has gained better prediction than prediction performance of bank credit scoring experts. This research study aims at using Data Mining and Fuzzy Logic approaches to classify the credit scoring of banking system applicants as to cover uncertainties and ambiguity connected with applicant classes and also variables that affect their behavior. The methodology, according to a standard Data Mining process, is to collect and refine the client data, then those variables which are in linguistic forms are converted to fuzzy variables under the supervision of banking experts and final data are modeled using Fuzzy Decision Tree, subsequently. The unfuzzy data are also modeled using the other algorithms. The results of the study suggest that as far as client distinction accuracy is concerned Fuzzy Decision Tree produces better results compared to Traditional Trees, Neural Networks, and statistical procedures such as Logistic Regression and Bayesian Network. However, it is not as accurate as Support Vector Machine and Genetic Tree. On the other hand, Fuzzy Decision Tree technique has gained better prediction than prediction performance of bank credit scoring experts.

https://jims.atu.ac.ir/article_2010_74b3956da8bb8e27a7e7f763b2b9b1da.pdf

Allameh Tabataba'i University Industrial Management Studies 2251-8029 9 25 2012 06 21 Relationship among knowledge management enablers and responsiveness in ceramic tile industry: Exploratory Mixed Research Relationship among knowledge management enablers and responsiveness in ceramic tile industry: Exploratory Mixed Research 109 132 2011 FA Gholamreza Khoshsima Ali Mehrabi Hamid Sharifi Fateme Shirvani Mahbobe Kazemi Journal Article 2009 04 03 In this research, exploratory mixed research are used and implemented at two stages. At first stage, two questionnaires are designed. Based on Cambridge University’s Model, responsiveness of Almas-e-Kavir and Ehsan Industrial Group are surveyed and analyzed that are done by comparative-theoretical case study. A questionnaire is designed according to the comparative-theoretical case study that determines responsiveness’s degree of ceramic tile industry’s companies. At the same time, literature reviews of knowledge management enablers are done and a questionnaire is designed. At the second stage, two questionnaires are distributed and after gathering them, data are analyzed. In this stage, questionnaire of knowledge management enablers are validated by confirmatory factor analysis. Then, affect of knowledge management enablers on responsiveness are analyzed by discriminate analysis. Responsiveness at manufacturing systems is ability to achieving operational objective with internal and external disturbances. Results are shown that infrastructures of knowledge management have more effect on responsiveness than people, strategy, and processes In this research, exploratory mixed research are used and implemented at two stages. At first stage, two questionnaires are designed. Based on Cambridge University’s Model, responsiveness of Almas-e-Kavir and Ehsan Industrial Group are surveyed and analyzed that are done by comparative-theoretical case study. A questionnaire is designed according to the comparative-theoretical case study that determines responsiveness’s degree of ceramic tile industry’s companies. At the same time, literature reviews of knowledge management enablers are done and a questionnaire is designed. At the second stage, two questionnaires are distributed and after gathering them, data are analyzed. In this stage, questionnaire of knowledge management enablers are validated by confirmatory factor analysis. Then, affect of knowledge management enablers on responsiveness are analyzed by discriminate analysis. Responsiveness at manufacturing systems is ability to achieving operational objective with internal and external disturbances. Results are shown that infrastructures of knowledge management have more effect on responsiveness than people, strategy, and processes

https://jims.atu.ac.ir/article_2011_b0421861d06be838bfdd5779e6205309.pdf

Allameh Tabataba'i University Industrial Management Studies 2251-8029 9 25 2012 06 21 Industry Concentration and Manufacturing Industries Stock Returns Industry Concentration and Manufacturing Industries Stock Returns 133 159 2012 FA Farzin Rezaei Hadi Haqiq Journal Article 2010 08 02 The objective of this study is to investigate the impact of industry concentration on the average stock returns, and proposing a model to explain this relationship. Explanatory variables are Herfindahl- Hirschman Index of industry concentration, industry size (market equity), book-to-market ratio, leverage, past 1-year's industry return and systematic risk (beta); also the industry average return is taken as the dependent variable. With respect to the concentration index is an industry specific, all of the dependent and independent variables in this research are evaluated in industry level. The study covers 1380- 1386 and uses 31 manufacturing industry-year observations. For examine the research hypothesizes, we use the Panel Data technique with Fixed Effect and Generalized Least Squares (GLS) method. Results indicate that in Tehran Securities Exchange there is significant relationship between industry concentration, size, book-to-market ratio, systematic risk and average stock returns. On the other hand, leverage and past 1-year's industry returns are not associated with annual industry returns. The objective of this study is to investigate the impact of industry concentration on the average stock returns, and proposing a model to explain this relationship. Explanatory variables are Herfindahl- Hirschman Index of industry concentration, industry size (market equity), book-to-market ratio, leverage, past 1-year's industry return and systematic risk (beta); also the industry average return is taken as the dependent variable. With respect to the concentration index is an industry specific, all of the dependent and independent variables in this research are evaluated in industry level. The study covers 1380- 1386 and uses 31 manufacturing industry-year observations. For examine the research hypothesizes, we use the Panel Data technique with Fixed Effect and Generalized Least Squares (GLS) method. Results indicate that in Tehran Securities Exchange there is significant relationship between industry concentration, size, book-to-market ratio, systematic risk and average stock returns. On the other hand, leverage and past 1-year's industry returns are not associated with annual industry returns.

https://jims.atu.ac.ir/article_2012_650e728925b74c568f6ec7e40fcbee47.pdf

Allameh Tabataba'i University Industrial Management Studies 2251-8029 9 25 2012 06 21 Introduction of an Advanced VIKOR method for Credit Rating of Customers of Banks Introduction of an Advanced VIKOR method for Credit Rating of Customers of Banks 161 179 2013 FA Mostafa Ekhtiari Journal Article 2010 04 11 Now days, many internal banks of country experiment a kind of credit risk, where can enumerate increasing non-performing loans of the banks and not repayment problem of the central bank debts as its results. Therefore, to establish a system of credit risk management is necessary and essential. The Five Cs of credit valid system is one of the rating systems of customers where can be considered for credit risk management. In the other hand, existence of a suitable tool to establish this system is necessary. The VIKOR method is one the efficient tools to rate feasible alternatives where can be used for rating credit of customers. In this paper, a method of advanced VIKOR will be proposed which can present the optimal values of attributes preference weights in decision making process. To illustrate the method proposed, a numerical example will be presented about credit rating problem of banks customers and the best feasible alternative to give facilities will be determined Now days, many internal banks of country experiment a kind of credit risk, where can enumerate increasing non-performing loans of the banks and not repayment problem of the central bank debts as its results. Therefore, to establish a system of credit risk management is necessary and essential. The Five Cs of credit valid system is one of the rating systems of customers where can be considered for credit risk management. In the other hand, existence of a suitable tool to establish this system is necessary. The VIKOR method is one the efficient tools to rate feasible alternatives where can be used for rating credit of customers. In this paper, a method of advanced VIKOR will be proposed which can present the optimal values of attributes preference weights in decision making process. To illustrate the method proposed, a numerical example will be presented about credit rating problem of banks customers and the best feasible alternative to give facilities will be determined

https://jims.atu.ac.ir/article_2013_cbce513c868872d57d8ab0dbcf32d94b.pdf

Allameh Tabataba'i University Industrial Management Studies 2251-8029 9 25 2012 06 21 A Feasibility Study of Tourism Investment Opportunities: The Case of Tarom as an International Recreational-Tourist Town A Feasibility Study of Tourism Investment Opportunities: The Case of Tarom as an International Recreational-Tourist Town 189 214 2018 FA Akbar Pourfaraj Mehrdad Karami Zahra Nekooee Zahra Taleb-beydokhty Journal Article 2010 12 13 The significant role of investment in the process of societies’ economic growth and development is highlighted in most theories on economic growth and development. Taking into account the shortage of investment sources and the necessity of optimal allocation of these sources for promoting economic growth, it is necessary to rightly identify the relative advantages of a country as regards the allocation of investment sources and also direct investment sources in most productive and efficient sectors in order to provide for efficient use of limited sources to accelerate economic growth. Thus, it is much necessary to use the scientific methods of economic engineering and economic evaluation of projects to economically and financially evaluate investment projects. This descriptive, analytic and applied study evaluates economic indicators of investment in Tarom (located in Zanjan Province) as an international recreational-tourist town via different criteria of economic and financial evaluation and the use of COMFAR (A computer software for simulating the financial and economic situation of investment projects). The results indicated that conducting the project of Tarom Recreational-Tourist Town has no justification in terms of indicators of financial and economic evaluation. The significant role of investment in the process of societies’ economic growth and development is highlighted in most theories on economic growth and development. Taking into account the shortage of investment sources and the necessity of optimal allocation of these sources for promoting economic growth, it is necessary to rightly identify the relative advantages of a country as regards the allocation of investment sources and also direct investment sources in most productive and efficient sectors in order to provide for efficient use of limited sources to accelerate economic growth. Thus, it is much necessary to use the scientific methods of economic engineering and economic evaluation of projects to economically and financially evaluate investment projects. This descriptive, analytic and applied study evaluates economic indicators of investment in Tarom (located in Zanjan Province) as an international recreational-tourist town via different criteria of economic and financial evaluation and the use of COMFAR (A computer software for simulating the financial and economic situation of investment projects). The results indicated that conducting the project of Tarom Recreational-Tourist Town has no justification in terms of indicators of financial and economic evaluation.

https://jims.atu.ac.ir/article_2018_e893c157cb77d419563e6db381c36a66.pdf