@article { author = {niroomand, Pourandokht and mollaakbari, marzieh}, title = {Functional Competencies of CEOs of New Technology-Based Firms: Present a Model}, journal = {International Journal of Industrial Engineering and Management Science}, volume = {7}, number = {2}, pages = {1-11}, year = {2020}, publisher = {University of Hormozgan}, issn = {2409-1871}, eissn = {}, doi = {10.22034/ijiems.2020.139009}, abstract = {The main purpose of this paper is to present a functional competencies model of CEOs technology-based firms. The relationship between functional competencies variables of: marketing management competency; financial management competency; technological management competency; and additionally four technology capabilities of: research & development; innovative decisions; marketing; manufacturing; and capital capabilities are examined. To fulfill these objectivities, the structural equation modeling (SEM) is used. The sample basis for survey related to the research is 121 new technology-based firms. The results have shown a significant direction relationship between the study variables and the acceptable fit. Moreover, there is a significant relationship between functional competency and capital capabilities in 99% confidence level. Functional competencies predict 17% to 41% of the variance in capital capabilities. Cronbach’s alphas for each of the 5 study variables were greater than 0.7. Functional competencies predict 33% of the variance in R&D and innovation decision capabilities, 41% of the variance marketing capabilities and 17% of the variance in manufacturing capabilities.}, keywords = {Functional Competencies,Competency Model,New Technology-based Firms,Technological Capabilities}, url = {https://www.ijiems.com/article_139009.html}, eprint = {https://www.ijiems.com/article_139009_d7bc8d2cef9f4d89edbf5239c5a859c6.pdf} } @article { author = {Beiranvand, Amin and delfan, mahbube}, title = {Investigating the Effect of the Broadband Penetration on the Main Economic Variables in the Form of a Macro-Econometric Model}, journal = {International Journal of Industrial Engineering and Management Science}, volume = {7}, number = {2}, pages = {12-20}, year = {2020}, publisher = {University of Hormozgan}, issn = {2409-1871}, eissn = {}, doi = {10.22034/ijiems.2020.139010}, abstract = {The present study is aimed at evaluating the effects of broadband penetration on the main macroeconomic variables. To this end, a macroeconomic structural pattern is set which is consistent with Iran's economic condition. The equations of the model are estimated inARDL framework using the time series data from 1979 to 2013 in constant prices. Then by using a dynamic simulation model, the pattern's validation test was done. The results reveal that the regulatory pattern can easily trace the movement process of the variables in the studied area. Next, to see the effects of the modification of the broadband penetration rate, considering the proposed quantitative targets in the infrastructure development document of the National Information Network, two scenarios are examined.Based on the results of the first scenario (a gradual increase in household penetration rate) and the second scenario (a sudden increase in household penetration rate ), it is suggested that in order for the broadband penetration to have more beneficial impact on the country’s economy, the sudden increase in household penetration rate should be applied. This is because a gradual increase in household penetration rate will have negative effects on the macroeconomics variables in the long run, with the sudden increase having positive effects.}, keywords = {Broadband Penetration,Macroeconomic Structural Pattern,Main Economic Variables}, url = {https://www.ijiems.com/article_139010.html}, eprint = {https://www.ijiems.com/article_139010_8214354a2a49e050e3976d8b7d801db7.pdf} } @article { author = {Samei, Zeynab and Gharahkhani, Mohsen}, title = {A New Marketing Strategy to Identify Influencers Based on Users’ Interest in Social Network}, journal = {International Journal of Industrial Engineering and Management Science}, volume = {7}, number = {2}, pages = {21-28}, year = {2020}, publisher = {University of Hormozgan}, issn = {2409-1871}, eissn = {}, doi = {10.22034/ijiems.2020.139011}, abstract = {Social networks are becoming an easy to use platform for viral marketing that are much more powerful and fast in propagating considered information in different topics. To this end, identification of influential users in social networks plays a crucial role in a successful viral marketing. Most of existing influential maximization methods are based on structural properties of networks. Whereas there are more personal information such as users’ interests and friends’ common interests that affects the behavior of users in confronting the shared massages. This manuscript proposes a novel method to identify the influential users for marketing in social networks based on their specific interests and power of influencing on their neighbors. We claim that not any hub node can be chosen as the influential spreader in the considered marketing contents and the influential users should be chosen based on their interests topics obtained from their historical activities .We propose a new method to identify the most influential users. In the proposed method, the extent of interest of the influential nodes and their neighbors are considered and the SIR spreading model is used to investigate the spreading process. Experimental results on six real social networks reveal effectiveness of the proposed method as compared to the existing methods based on centrality measures.}, keywords = {social network,Viral Marketing,influence maximization,User Interest,Influential Spreaders,Marketing strategy}, url = {https://www.ijiems.com/article_139011.html}, eprint = {https://www.ijiems.com/article_139011_cca1b3111e2251ec637cf1c3a77df2e1.pdf} } @article { author = {Ramezani, Saeed and jamali, kiarash}, title = {Estimated Wage in Outsourcing Maintenance Activities Using the Overall Craft Effectiveness Index}, journal = {International Journal of Industrial Engineering and Management Science}, volume = {7}, number = {2}, pages = {29-35}, year = {2020}, publisher = {University of Hormozgan}, issn = {2409-1871}, eissn = {}, doi = {10.22034/ijiems.2021.265375.1034}, abstract = {Estimating the wage of maintenance activities depends on time, cost, and quality factors. For this reason, in the field of costs, rent management is very important, which with proper planning can lead to significant savings in organizational costs. In the case of maintenance, payments are made at the rate approved by the government and in companies and repair shops are made at the rate approved by the union. Due to the fact that the quality of repair work is different at different levels, wages should be different according to the quality and level of repair work. In this paper, we present an output-driven model (output-driven means that people's wages depend on their work output) in order to accurately calculate wages and also to create a bargaining framework in the maintenance sector using the Overall Craft Effectiveness Index at different levels of outsourced maintenance activities. In order to test the model, data related to the automotive industry in different brands of the market (Ikco & Saipa) under the supervision of legal agencies have been used. This method, in addition to motivating, causes the person who is more effective and provides better output will receive a fair wage commensurate with it.}, keywords = {Wages,maintenance,Overall Craft Effectiveness Index,Outsourcing}, url = {https://www.ijiems.com/article_139012.html}, eprint = {https://www.ijiems.com/article_139012_dca59ea045f58f6d8686dad2eaadb32f.pdf} } @article { author = {salehzadeh, seyed javad and hoseini, seyed farzad and Zareian, Ahmadreza and Shahandeh Nookabadi, Ali}, title = {A Hybrid Modeling Approach for Measuring Efficiency of Organizations Considering Dynamic Effects}, journal = {International Journal of Industrial Engineering and Management Science}, volume = {7}, number = {2}, pages = {36-44}, year = {2020}, publisher = {University of Hormozgan}, issn = {2409-1871}, eissn = {}, doi = {10.22034/ijiems.2021.271954.1035}, abstract = {Performance evaluation and feedback systems are two important factors in success of any organization. One of the newest and most applicable methods to evaluate performance of systems is Network Data Envelopment Analysis. This method considers the system as a network where after a series of interactions, inputs are transformed into intermediate products, and eventually come out from system as the final products. On the other hand, Balanced Scorecard, as an influential evaluation method, is used to evaluate and execute strategies of organizations successfully. In recent years, a new method has been developed based on combination of these two methods to evaluate performance of organizations. Such studies mainly concentrate on use of BSC and classical DEA without considering the links between the units and the effects of performance during different time periods (dynamic effects). In this paper, a combinatorial approach is presented which is able to measure efficiency of organizations during various time periods based on BSC. This approach enables organizations to compare their performances in different periods and detect inefficient resources to make appropriate decisions and achieve higher performances. Finally to evaluate the efficiency of the proposed model a numerical example is presented}, keywords = {Input Output,Performance Evaluation,Dynamic Effects,DEA,BSC}, url = {https://www.ijiems.com/article_139013.html}, eprint = {https://www.ijiems.com/article_139013_a10c8edefd27f875a62d637d7b857424.pdf} } @article { author = {Gharahkhani, Mohsen and Pourhashemi, Seyedeh OMSalameh}, title = {Adoption of Mobile Insurance Using TAM: A Case Study}, journal = {International Journal of Industrial Engineering and Management Science}, volume = {7}, number = {2}, pages = {45-54}, year = {2020}, publisher = {University of Hormozgan}, issn = {2409-1871}, eissn = {}, doi = {10.22034/ijiems.2020.139014}, abstract = {This paper aims to investigate the factors that might have an impact on the adoption of mobile insurance through the Technology Acceptance Model (TAM). Data were collected by questionnaires to 150 Iran consumers who were actively using mobile insurance. The data were analyzed using partial least squares structural equation modeling (PLS-SEM) and multi-group analysis (MGA) in Smart PLS 3.0 software. Results show that attitude towards use, ease of use, perceived usefulness, and privacy policy, have a positive effect, and privacy risk harms intention to use. Furthermore, the results of MGA analysis indicate that in the ease of use and intention to use, males displaying a stronger relationship than females. In this study, however, we found that females tended to be less influenced by the ease of use when evaluating the use of mobile insurance technology. Moreover, the results revealed that gender can also moderate the relationship between privacy risk and intention to use, with a stronger relationship existing among females.}, keywords = {Mobile Insurance,Technology acceptance model (TAM),privacy policy,Perceived Usefulness}, url = {https://www.ijiems.com/article_139014.html}, eprint = {https://www.ijiems.com/article_139014_56df634fb959ead29614b5de5a5843a7.pdf} } @article { author = {Mouna, Derbel and Wafik, Hachicha}, title = {The Impact of Demand Dependence on Optimal Inventory Level and Pooling Effect}, journal = {International Journal of Industrial Engineering and Management Science}, volume = {7}, number = {2}, pages = {55-63}, year = {2020}, publisher = {University of Hormozgan}, issn = {2409-1871}, eissn = {}, doi = {10.22034/ijiems.2021.277913.1037}, abstract = {In supply chain inventory management it is generally approved that inventory pooling is a suitable practice and studied its impact on expected profits under restrictive assumptions on demands distribution (Demands are often assumed to be independently and identically distributed and whenever demands dependence is included, it has been assuming bivariate or multivariate normal distribution). In this paper, we investigate the impact of pooling on stocks levels in addition to the impact of dependence on stocks levels when demand distributions do not follow the normality assumption. In addition, we analyze the impact of marginal distribution of demand (identical or no-identical) and distribution demand with different Skewness on the inventory level. Furthermore, we prove that the dependence structure, the coefficient of dependence, and the distribution of the local demands affect the value of the benefit of pooling using various copulas. Finally, the conditions under which the pooling is preferred to the no pooling case are likewise affected.}, keywords = {Pooling Effect,Demand Dependence,Copulas,Optimal Inventory Level,Marginal Distributions}, url = {https://www.ijiems.com/article_139015.html}, eprint = {https://www.ijiems.com/article_139015_5fbe74651a662e7ac2d4a45aa62a5e5d.pdf} } @article { author = {Ghanbari, Milad and Ramezani, Saeed and Maquez, Adolfo}, title = {The Optimal Prioritization of the Replacement of Critical Equipment in Industrial Complexes by Combining LCC and NSGA-II}, journal = {International Journal of Industrial Engineering and Management Science}, volume = {7}, number = {2}, pages = {64-72}, year = {2020}, publisher = {University of Hormozgan}, issn = {2409-1871}, eissn = {}, doi = {10.22034/ijiems.2021.290126.1040}, abstract = {The management of capital assets in industrial complexes is very complicated given the large number of existing equipment in them. This becomes even more complicated when several equipment units need to be replaced simultaneously. Since the replacement program is costly and time-consuming, the critical equipment should be identified and prioritized. Thus, the main objective of this research is to develop a decision-making support system (DMSS) for prioritizing the critical equipment. A practical and scientific framework is developed for the optimal prioritization of the replacement of the critical equipment in industrial complexes. This optimization framework is multi-criteria and consists of two mathematical steps. In the first step, life cycle costing (LCC) is used to measure the economic life of the equipment and to identify the critical equipment. In the next step, the optimal time for replacing the equipment and their priorities are determined. An optimization application is designed for this purpose using an NSGA-II method and the Java software. A case study was conducted on Iran’s gas transmission operations in Khuzestan province. Out of 595 equipment available in this study, 110 units were identified as critical equipment and were prioritized.}, keywords = {Asset Management,critical equipment,Prioritizing,replacement of equipment,Reliability}, url = {https://www.ijiems.com/article_139018.html}, eprint = {https://www.ijiems.com/article_139018_ef1aac1dcd7d56c4f285b6b58a434d6d.pdf} } @article { author = {Safari, Ehram and Yari, Ali reza}, title = {Evaluating the Key Factors for the Success of International Data Transit}, journal = {International Journal of Industrial Engineering and Management Science}, volume = {7}, number = {2}, pages = {73-82}, year = {2020}, publisher = {University of Hormozgan}, issn = {2409-1871}, eissn = {}, doi = {10.22034/ijiems.2020.139016}, abstract = {Access to international cable systems (often submarine) or satellite systems and manage incoming and outgoing international voice, and data traffic is provided by connecting national networks to regional and global systems. In this connectivity provided through the international gateways in each country, there is a capacity to transmit data between different countries or points outside the country to help this overall connectivity called data transit. In this paper, we will evaluate the key factors that lead to the success of data transit. Fuzzy cognitive mapping is used for this purpose. The statistical population of this study is selected from experts and professors in the field of telecom capacity. In the first step, the key success factors are identified based on the opinions of 15 experts and then based on four initial impact matrices, fuzzy impact matrix, impact power matrix, and the final effect matrix, and Mental Modeler software creates the fuzzy cognitive mapping.}, keywords = {International Data Transit,Fuzzy cognitive mapping,Key Successful Factor}, url = {https://www.ijiems.com/article_139016.html}, eprint = {https://www.ijiems.com/article_139016_478115487fef0d5590c90a79f75e828a.pdf} } @article { author = {Doostmohammadi, Mohammad}, title = {Incomplete Single Assignment Hierarchical Hub Median Problem with/without Network Flow Consideration}, journal = {International Journal of Industrial Engineering and Management Science}, volume = {7}, number = {2}, pages = {83-97}, year = {2020}, publisher = {University of Hormozgan}, issn = {2409-1871}, eissn = {}, doi = {10.22034/ijiems.2020.139017}, abstract = {In this paper we present the problem of designing a three level hub median network. In our network, the top level consists of an incomplete network where a direct link between all central hubs is not necessary and an incomplete network may lead to having lower total costs. The second and third levels are consisted of star networks that connect the hubs to central hubs and the demand nodes to hubs and thus to central hubs, respectively. We also propose a hierarchical hub median problem with single assignment where there are no flows among nodes and the transportation costs depends on the distance between nodes. We analyze this problem in both complete and incomplete network among central hubs, and propose mathematical models for both problems.We conduct computational studies for these three developed models by using the CAB data.Hubs are facilities that serve as points for switching, transshipment and sorting flows in many-to-many distribution systems. In a particular hub location problem the objective is to determine locations of hubs and also assigning other nodes to these hubs with minimum distribution costs.}, keywords = {CAB Data,MIP Formulation,modelling}, url = {https://www.ijiems.com/article_139017.html}, eprint = {https://www.ijiems.com/article_139017_28d5aa3b63bdd5fc16df1639b44e4812.pdf} }