Journal of Industrial Strategic Management: 5 (46)

Open Access Article

1 - Classify the Iranian’s Construction Projects Key Risks by Structural Equation Modeling
Kajal Zarei Bahareh Mohebban Alireza Esmaeilzadeh Ahmad Jamalian

Project Risk Management is a critical component of project management as risks that are not well-managed may lead to project failures. This study aims to classify Iranian’s Construction Projects key risks by using Structural Equation Modeling (SEM) technique. At f More

Project Risk Management is a critical component of project management as risks that are not well-managed may lead to project failures. This study aims to classify Iranian’s Construction Projects key risks by using Structural Equation Modeling (SEM) technique. At first, based on a comprehensive literature review 28 indicators were identified to recognize the construction projects risk. Thereafter, a questionnaire was distributed amongst the experts of construction industry, and finally 239 questionnaires were collected. In the next step, the model of construction projects risks was estimated by using of Confirmatory Factor Analysis (CFA) which the indicators explained five latent variables (Environmental, Quality, Cost, Time and Safety related factors). The results presented that priorities of the indicator of “Construction Projects Risks” are “Time Risk”, “Cost Risk”, “Quality Risk”, “Environment Risk” and “Safety Risk”, respectively. Furthermore, the results of the research provided a comprehensive model for the construction projects risks, which it can be used by scholars and project managers. Manuscript profile

Open Access Article

2 - Investigate and analyzing the effects of oil price shocks on industry and mine sector in Iran (Vector auto regression application)
kamran kasraei Majid Sameti Homayoun Ranjbar Sara Ghobadi

In recent decades, there are many bold oil price volatilities in markets and most of economists has propose oil price severe variations as the main reason of macroeconomic volatilities in both oil export and import countries, such as Iran. Because of oil rule in Iran&rs More

In recent decades, there are many bold oil price volatilities in markets and most of economists has propose oil price severe variations as the main reason of macroeconomic volatilities in both oil export and import countries, such as Iran. Because of oil rule in Iran’s economic, analyzing the effects of oil market shocks on macroeconomic indicators is very important.So, in this paper we use Vector auto regression model to investigate time- variant impulse functionsfor industry and mine value added growth, informal exchange rate, inflation, real consumption expenditures of government, real import growth and real oil revenues growth on oil revenues shocks for 1988- 2015 period. The results show that, there is a linear effectiveness of positive oil revenues shocks on macroeconomic variables.The results show that, there is a linear effectiveness of positive oil revenues shocks on macroeconomic variables.The results show that, there is a linear effectiveness of positive oil revenues shocks on macroeconomic variables. Manuscript profile

Open Access Article

3 - Improve the accuracy of project construction forecasts by integrating managed value management with quantitative predictive methods in time series. Case study: Construction projects at AzarAB Company Arak
Mehrdad Khazenchin Amir abbas Shojaie

In this research, two projects were considered during the construction phase of Azar AB Company to predict construction costs and actual costs of these projects were calculated after data collection, then six regression models were presented in four time periods for eac More

In this research, two projects were considered during the construction phase of Azar AB Company to predict construction costs and actual costs of these projects were calculated after data collection, then six regression models were presented in four time periods for each project and then The average model error for each project was calculated in four periods to determine the final and acceptable model for each project. The results showed that models 2 and 3 percent have lower and acceptable errors than other models. The existence of effective modules in models as well as in terms of the nature of projects, we conclude that Model No. 3 predicts the future costs of projects with a reasonable degree of certainty. In sum, we will select Model No. 3 as the top model to predict the future costs of the projects in question. However, we recall that for each project, depending on its nature, another particular equation may provide more accurate predictions. But in general it can be said that regression models are used to predict the costs of different periods The project is applicable to its nature. Manuscript profile

Open Access Article

4 - Investigating and analyzing the interactions between factors affecting supply chain agility improvement by interpretive structural modeling in oil and gas industry
samira ghasemi shahrzad tayaran Ezato lah asghari zade

This study aims to identify the most important factors affecting the improvement of supply chain agility and determine the leveling of interactions between the factors affecting to improvement of supply chain agility and mapping network relations in the oil and gas indu More

This study aims to identify the most important factors affecting the improvement of supply chain agility and determine the leveling of interactions between the factors affecting to improvement of supply chain agility and mapping network relations in the oil and gas industry from experts’ point of view. Reviewing the research literature, the opinion of 30 experts regarding the supply chain of South Pars oil and gas companies were asked and determined. Using Fuzzy Delphi technique, 7 indicators out of 14 were identified and selected. Then, a structured matrix questionnaire was used for interpreting structural modeling to obtain the model and prioritize the indicators. The data from the questionnaire was drawn through an interpretive structural modeling and analyzed in 5 levels in an interactive grid. Consequently, information sharing and using the innovation were reanked at the highest level (the fifth level) while supplier participation, and strategic resources were ranked at the fourth level. Communication with customers ranked at the third level and reliability and assurance of delivery found the next rank which is the second level. The flexibility of production was ranked the first and the lowst among the others. Manuscript profile

Open Access Article

5 - Using the Multi Moora Method to Identifiy and Rank Transport Companies based on Performance Evaluation Indicators
gholam reza einy sarkalleh hosien MAHMODY Hossien Afzali MOSTEFA REZVANY DOST hafez ashkan

Today, the transportation industry is growing in the country, and at the same time it has increased operational costs. Identifying and assessing the performance of economics enterprises and, finally, feedback and analysis of evaluation indicators is one of the main issu More

Today, the transportation industry is growing in the country, and at the same time it has increased operational costs. Identifying and assessing the performance of economics enterprises and, finally, feedback and analysis of evaluation indicators is one of the main issues in the transportation industry In this research, multi-criteria decision-making techniques and Delphi methodology have been used to identify the indicators that affect the performance of a transport business, then the MULTIMOORA decision making method has been applied which is one of the novel methods of decision making There are several criteria and according to the established criteria, prioritization and ranking among the proposed performance indicators is performed. The present paper, in addition to identifying the indicators of the effect of Godard on the evaluation of the performance of the transport enterprises, tends to describe the steps of the MULTIMOORA method in brief in its methodology. Keywords: Transportation, Enterprise economics, Multi-criteria Decision Making, Group Decision Making, Group Decision Making, MultiMoora Method Manuscript profile

Open Access Article

6 - Evaluation of Knowledge Management Adoption Success in Green Supply Chain: A Fuzzy hybrid expert-oriented multiple criteria decision-making approach
Fatemeh Zahra Rajabi kafshgar Mehrdad Madhoushi2 Hamidreza Fallah Lajimi3

Todays, the success of organizations, is directly related to the knowledge that they can generate and distribute, the speed of producing, the amount of accumulation and usage of this knowledge. On the other hand, environmental concerns about manufacturing industries ind More

Todays, the success of organizations, is directly related to the knowledge that they can generate and distribute, the speed of producing, the amount of accumulation and usage of this knowledge. On the other hand, environmental concerns about manufacturing industries induce organizations to use green practices in various supply chain processes. The successful implementation of knowledge management in the green supply chain improves the efficiency, effectiveness, profitability and competitive advantage of organizations. Since the implementation of knowledge management requires a lot of time and cost, the present study examines the success rate of knowledge management in the green supply chain based on fuzzy decision making. In this paper, after reviewing the literature, five main dimensions including employee attributes, organizational strategy, organizational culture, technological factors and management factors and 25 indicators for assessing the success of knowledge management in the green supply chain are determined. Using the opinions of 10 experts of Farasanat company, 21 indicators of knowledge management success in the green supply chain have been identified and the weight of each index is calculated by using the FDEMATEL method. In the next step, the rank of each index is calculated with by FSAW. Finally, by using the calculated weight and index rank, the success rate of knowledge management implementation in the green supply chain is determined. The results show that Farasanat company has a success rate of 0.72 in implementing knowledge management in the green supply chain. Manuscript profile

Open Access Article

7 - A hybrid matrix evaluation of inventories based on the inherent capability and Actual sales
mehran khalaj Amir hossien khalaj

Demand for after-sales parts companies depends on various parameters and is not always predictable. Mainly basic information for reasons such as poor quality of some parts, there are other competitors in the market and similar items, consequently, the decision and possi More

Demand for after-sales parts companies depends on various parameters and is not always predictable. Mainly basic information for reasons such as poor quality of some parts, there are other competitors in the market and similar items, consequently, the decision and possibly dissatisfaction customers have the kind of ambiguity and uncertainty. So in order to make decisions in such circumstances need for an appropriate model that could at any moment that at any moment can monitor inventory and the actual performance available to provide an appropriate framework. . In this paper a matrix model presented has the ability to check the status of real and can be predicted the situation is predicted real and can be a model for decision-making in such circumstances.Another advantage is that the proposed method can be extended discussion of the applicability of its production to companies and organizations. In this paper a matrix model presented has the ability to check the status of real and can be predicted the situation is predicted real and can be a model for decision-making in such circumstances.Another advantage is that the proposed method can be extended discussion of the applicability of its production to companies and organizations. Manuscript profile

Open Access Article

8 - Increasing the level of invincibility and reducing the cost of supply chain based on radio frequency identification technology
Rahim Ranjbar Amir Najafi Ali Mohammadi Naser Hamidi

The purpose of this study was to investigate the effect of radio frequency identification technology on increasing the level of invincibility and reducing the costs of supply chain of industrial industries in Urmia. In this research, using the Chi-square independent sta More

The purpose of this study was to investigate the effect of radio frequency identification technology on increasing the level of invincibility and reducing the costs of supply chain of industrial industries in Urmia. In this research, using the Chi-square independent statistical method, we test the hypothesis and to investigate the predictive role of the independent variable identifying using radio frequency on the intermediate variable (ie intervener), ie, human, organizational and environmental factors management as well as the effect They used a path analysis model based on the dependent variable to reduce supply chain costs. The results indicate that there is a relationship between the use of radio frequency identification and the reduction of supplier costs, producers, distributors, retailers and end-users. The results of path analysis and fitted model test indicate that there is a direct relationship between human factors and environmental factors, organizational factors and environmental factors, and finally human factors and the use of identification using radio frequency, and environmental factors, directly and indirectly, use identification Using radio frequency is effective. Manuscript profile

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