مقالات رزومه دکتر علی محتشمی

AbstractThe purpose of this research is to identify the competencies of the members of corporate governance committees in public companies, rank the committees and create an optimal combination of competencies in them in order to implement corporate governance.The statistical population, the members of the mentioned committees and the research method are mixed. In the qualitative part, while studying the background and theoretical foundations, with judgmental sampling, twelve members of the corporate governance committees of state-owned companies and university professors were selected and interviewed, and using thematic analysis method, competencies in three dimensions, eleven components and 55 Indexes were identified.In the quantitative part, with judgmental sampling, fifteen members of the board of directors of state-owned companies implementing corporate governance were selected to complete the pairwise comparison questionnaire, and multi-criteria decision-making methods were used for analysis. The findings showed that risk, audit, service compensation, appointments and strategic committees are ranked as the most effective committees with importance coefficients of 0.976, 0.910, 0.904, 0.872 and 0.846 respectively. The most important components of competence are governance knowledge, management skills and governance skills with weights of 0.125, 0.110 and 0.099. In the end, the optimal combination of competencies in each committee was presented for the optimal implementation of corporate governance.

In this paper, we have proposed a model based on Mixed Integer Non-Linear Programming for the blood supply chain under conditions of uncertainty in supply and demand, from the stage of receiving blood from volunteers to the moment of distribution in demand centers. The challenges addressed in this optimization model are the reduction of blood supply chain costs along with minimizing the shortage and expiration rate of blood products. The Markov chain has been used to address the uncertainty of donor blood supply. To estimate the needs of medical centers, the received demand is considered fuzzy. Then, the proposed model is solved in small dimensions by GAMS software and in large dimensions by Bat and Whale meta-heuristic algorithms, and the results are presented. In addition, a case study is presented to show the applicability of the proposed model. The results show a reduction in the level of costs as well as a reduction in the shortage and expiration of blood products in the supply chain.

Supply chain optimization involves the integration of supply chain activities and related information flows by improving the state of chain relationships to achieve a secure and sustainable competitive advantage. In this realization, the issue of supply chain optimization has been chosen because to provide goods and services in the economy, we need a mechanism and system to maximize economic efficiency and productivity and provide return goods and services at lower and easier costs and the circular economy to be realized, the main discussion of which is related to the recycling of returned goods and goods that need to be repaired so that they can be reused. This research also emphasizes the use of healthy parts and components in the reproduction of products and this issue is considered for all goods in each part of the supply chain that cannot be used and must be transferred to the reproduction. The results of the implementation of the model presented in the genetic algorithm show that this algorithm was able to reach an almost optimal answer at the right time. This algorithm requires more computational time than LINGO optimization software to solve problems that have very small dimensions but this algorithm needs much less time to solve problems due to the increase in problem dimensions than LINGO optimization software. Therefor in these examples we observed that this algorithm can reach an acceptable answer in a much shorter interval than LINGO optimization software for large scale problems.

The generational diversity in the human force that today's organizations are facing is one of the factors of the spread of conflict in organizations. The purpose of this study is to design a model for intergenerational conflict management in Iran's government organizations.

Thematic analysis method has been used to conduct this research. The statistical population of this research was formed by academic and organizational experts. In order to collect data, a semi-structured interview was used.

The research resulted in 119 basic themes, 35 organizing themes, as well as 12 comprehensive themes (i.e., civility gap in events of meaningfulness and perceptualization, the gap in the regularization of communication general rules, self-determination framework of job value-driven, environmental-organizational divergences in generational culturalization, authenticity semantic collapse in intergenerational interactions, organizational withdrawal in intergenerational dissimilarity management, intergenerational conflicts in job ideologies, intergenerational uncertainty in job accomplishment quality, task and relational conflict bilinear orientations, selective criteria in choosing conflict management style, functionalist conflict management strategies, and interpretive conflict management strategies).

Based on the findings, it can be claimed that in order to better understand intergenerational conflicts, it is essential to find the root of the disputed areas in the structure of perceptions of generational differences, and in formulating the types of strategies, it is necessary to consider both areas of discord and conflict in the reactional way.

One of the most important issues in gas distribution companies in the country is the multi-level agility of processes in their supply chains. Therefore, the main purpose of this study was to investigate various factors in process agility using the systems dynamics approach. The statistical population of this research comprised of all managers of seven provincial gas supply companies. In this research, the Delphi method was used to identify the variables affecting process agility, statistical tests were used to analyze the correlation between data, the Dimtel method was used to classify the causal and effectual variables, and dynamic system analysis was used for dynamic model analysis and simulation. The validity of the model was measured based on structural and behavioral validity tests. The results showed that due to changes in performance, the cost of implementing changes in a system varied in terms of cycle and in the later stages, the cost of development increased. This delay also increased costs and reduced development productivity. Moreover, the simulation illustrated that process agility helped complete more tasks at a lower cost. The dynamics model developed in this research can be used as a tool by an organization to understand and analyze the effects of different rapid development practices and supply chain management strategies.

Companies' efforts to gain more market share and maintain survival have made the integration of companies to use each other's ability as a parent company. One of the main concerns of the parent company is how to control the subsidiary businesses. The present study has been carried out by purpose of design an intelligent model for corporate control strategies with emphasis on the interaction of the parent company with subsidiaries in Holding TAPIKO. This research is applied in terms of purpose and in terms of method, descriptive-follow-up research. Research data includes documentation received from literature and indexed articles in Scopus and Science Direct, as well as semi -structured interviews. First, using qualitative content analysis methods of interviews and articles were coded in maxqda2020 software, 28 sub -categories in the form of 8 short -term profitability categories, long -term profitability, distinctive capability, market trends, fitness, company size, power size, power Politically identified. The following comments were used to identify the coefficients of the importance of components and write fuzzy rules, and were designed using MATLAB software and fuzzy inference system (FIS), which included 31 fuzzy rules. The model was implemented in 3 modes of cellulose, tires as well as petrochemicals. The results of the research for cellulose and tire companies indicate less financial control strategy and interference, and for petrochemical subsidiaries, it shows strategic control and greater interference by the maternal firm. The result of validation review through Surface analysis also indicates the appropriate model validity of the model.

This paper aimed to design a robust blood supply chain model that includes the stages of collection, processing and distribution of blood and blood products taking into account the lifespan and age of demand, which seeks to reduce supply chain costs and reduce the shortage and waste of blood products.

In this paper, MINLP method is used to model the research problem and in order to face the uncertainty in the problem parameters, the MPFRP method based on fuzzy data is proposed. The designed model was first evaluated for validation with numerical examples in small and large size and using real data in a case study in GAMS software?

Using numerical examples and real data, the output indicates the performance of the proposed model. The output also had acceptable flexibility in the face of uncertainty in the parameters of the research model.

Originality/Value:

 In this study, in order to reduce the shortage of blood products in situations where blood product is not available in the same group as the requested blood product, the ABO-RH adaptability principle has been used to replace the received demand with a compatible inventory. And also, to deal with uncertainty in uncertain parameters in the supply chain a solution based onmixed possibilistic-flexible robust programming is proposed.

Although the expansion of parent firms is of great importance to economic development and their central role in the administration of diverse businesses and value creation is undeniable, one of the main concerns of these firms and managers of subsidiaries is how to establish relationships or in other words corporate control. Parent firms can control the entire business process of subsidiaries, and this control can be introduced in the form of three styles of strategic planning, financial control and strategic control, which is commonly known as parent control in theoretical literature. However, the complexity of environmental conditions and increasing uncertainties will not allow the adoption of a fixed control style to meet the goals of the parent firms. Therefore, creating an interactive and scenario -based control system is recommended for subsidiaries for long-term survival. In this article, by reviewing the literature on parent firms control and a critical view of the popular methods and styles of controlling  subsidiary companies, a new method with an emphasis on participation, interaction and internalization of strategic decisions is presented to cover the current shortcomings and offer a more effective control of firms in changing environments. In the current study, the different categories of parent firms along with their configuration and managerial styles under different conditions, the proportion of characteristics, size, diversity and value -making practices are explained and compared. This review article can be effective for corporate control and can open a new horizon for future researchers to analyze the different styles of parent firms under uncertainty.

The green human resource management is a new management philosophy based on the green movement in relation to the protection of our environment and a model in which the concept of green is used in the field of human resource management. The present study was conducted to identify and rank the priorities of green human resource management. The method of this research is descriptive survey and the statistical population included twenty professors of Shiraz University of Medical Sciences. In this regard, a pairwise comparison questionnaire was developed and distributed among research experts and then collected using Expert Choice software. AHP and fuzzy Delphi techniques were used to rank the antecedents. Findings showed that organizational factors with a weight of dimensions of 0.627 were ranked 1st and among its components, the quality of human resources with a weight of 0.359 was ranked first. Technological factors with a weight of 0.289 dimensions were ranked second and its advantage component was ranked first. Environmental factors with a weight of dimensions of 0.084 ranked third and among its components, government support with a weight of dimensions of 0.336 was ranked first. The overall findings demonstrated that organizational factor was ranked first in terms of importance, technology factor was ranked second and environmental factor was ranked third in terms of weight.

the purpose of this article was to investigate green human resource management activities, effective factors, and their consequences in government organizations.

To achieve the purpose of this article, a qualitative research project was selected and the dimensions, components, and indicators of the green human resource management model were identified using the meta-combination method and theme analysis. Then the identified dimensions, components, and indicators were validated using the fuzzy Delphi technique.

The results of the meta-combination led to the identification of the dimensions of leadership, technology, budget, and culture as prerequisites for the establishment of green human resource management. The dimensions of recruitment, training, performance appraisal, and compensation of green services were identified as the executive processes of establishing green human resource management. Finally, the dimensions of economic, social, organizational, and environmental consequences were identified as the consequences of the establishment of green human resource management.

that green human resource management activities can have positive consequences for the development of Iranian government organizations, this article was conducted to identify the prerequisites, processes, and consequences of establishing green human resource management in government organizations and led to the design of a model in this regard.

The purpose of this study is to identify and determine future organizational strategies in the Imam Khomeini Relief Committee.

In terms of methodology, it is a combination (qualitative - quantitative) study. In the first stage, organizational strategies were extracted by grounded theory method through open coding, axial coding and selective coding and then were confirmed after accreditation by nine experts of university professors. In the second stage, using Dematel technique, the causal relationships, effect, influence, direction and intensity of the effects were identified.

The evaluation of Dematel technique has shown that the e-government development strategy is the most effective and the promotion of administrative health is the most effective. Productivity promotion strategy (organization and human resources) among the eleven research strategies has the most relationship or interaction with other strategies. Also, out of eleven strategies, four strategies are causal variables and seven strategies are disabled variables.

The research findings show that the four strategies of streamlining the administrative system, developing e-government, improving productivity and economizing the services of the organization as causal variables are the most effective strategies that help the Imam's Relief Committee in the future. Through them, it can effectively manage the deprived and the needy. Accordingly, the researcher has localized these strategies by segregating and nationalizing organizational strategies, and has determined the most compatible strategies for managing public organizations in the future by influencing and designing an appropriate impact map between the strategies.

The competence of managers, especially at senior levels, is the basis for the success of companies and the development of the country. Corporate governance as a set of principles, requirements and processes for monitoring and governing the company has been notified to the governmental companies by the relevant authorities and its executors are senior managers (members of the board of directors); Therefore, designing the competency model of senior managers according to their role in the optimal implementation of corporate governance is the goal of this research.

This research is developmental in terms of purpose and mixed (qualitative-quantitative) in terms of data type and method of analysis. In the qualitative section, by studying the background and theoretical foundations, the dimensions of competence and the components of corporate governance were identified. Eleven members of the board of directors of governmental companies in various fields of production, services and investment, and selected academic experts were interviewed, and by content analysis method, the themes were identified at three levels: basic, organizer, and comprehensive. In the quantitative part, structural-interpretive modeling, leveling and determining the relationships of the components and dimensions of the model were performed.

The findings of the qualitative section were obtained by combining theoretical studies and content analysis of interviews, 55 basic themes (index), eleven organizer themes (component) and three comprehensive themes (dimension). The dimensions of the model include knowledge, skills and character. 

Based on the results of quantitative analysis of the research, the main components of the competency model are classified into four levels. Dimensions of character (including moral virtues, personal characteristics and values) are the most effective role models and guider of other components. All the main components have two-way influence on each other. The output of the study led to the design of a competency model for senior managers of governmental companies with a corporate governance approach.

One of the ways to acquisition a competitive advantage is the tendency toward strategic innovation; because innovative products provide valuable opportunities for long-term growth and survival of companies. Researches has shown that strategic learning and strategic flexibility with the prospective view can improve strategic innovation. Therefore, the purpose of this study was to present and test the structural model for examining the effect of Collaborative Open Foresight on Strategic Innovation with regard to the mediating role of strategic learning and strategic flexibility in aviation industry.

This research is a cross-sectional study in terms of type of use, and descriptive-correlational in terms of data collection, and based on structural equation modeling and cross-sectional study in terms of time horizons. The statistical population consisted of 430 executives of selected active companies in the aviation industry and with Simple random sampling, 229 people was considered as a statistical sample. Data were collected by structured questionnaire and analyzed by structural equation modeling and LISREL software.

The results of data analysis show that collaborative open foresight, directly and indirectly due to strategic flexibility and strategic learning has a positive and significant effect on strategic innovation.

According to the technology-based and nature of corporate cooperation in the in the aviation industry, promotion of strategic innovation depends on strategic learning and strategic flexibility, which is obtained by collaborative open foresight.

Four - level supply chain is a chain of different products because of continuous and significant changes in the quality of food products throughout the supply chain. The aim of this paper is designing a fuzzy multi - objective model for optimization of facility location in a perishable products of supply chain using the combination of two heuristic Banders and Lagrange algorithms. The present study is applicable in terms of purpose and data collection method. in this study, the mathematical model for the problem of locating facility in a four - level supply chain for perishable products is presented at the same time the supply chain costs, order delivery time, emissions and customer satisfaction level. to evaluate the validity of the research, the mathematical model was studied in Kaleh food industries and the research problem was presented in the form of a nonlinear model of complex integer programming. the results of the proposed algorithm in the case study of the solution and the results of the algorithm performance based on standard indices and finally computational results show the performance of the algorithm for a wide range of different.

AbstractThe present study by identifying and determining the drivers of complexity affecting the performance of complex government organizations, the researcher designed a paradigm model of complexity drivers and defines complex government organizations. To achieve this, it conducts research using a combination of qualitative and quantitative methods. The researcher uses open source, axial and selective data method to analyze the interview data. To validate the initial model, the quantitative method "Content Validity Evaluation of CVR" has been used. After validation, 123 focal variables were identified in the form (causal conditions of 14 categories, phenomena 13, action / interaction 21, consequences 14, intervening conditions 39 and context 22 categories) with these drivers paradigm model of complexity drivers in evaluating the performance of organizations The Iranian government complex was designed. As can be seen in the research model, the focal categories of intervention conditions as drivers of legal complexity and the underlying categories of drivers as bedridden complexity drivers with the impact on the action / interaction and consequences of the model cause organizational performance complexity that should be evaluated. The performance of these organizations should be considered.

The purpose of the present study is to design a multi-cycle cold supply chain based on multiple cross-ports in regional transportation and its role in land development and planning. In the first step, we first identified the factors and variables of the model. In the second stage, by selecting the study period by designing data collection forms and using the methods of document review, the raw data required to measure the final indicators were collected and in the form of a design model, the necessary processing was performed on them. Then, according to the research topic and using two techniques of genetic algorithm and particle swarm optimization are analyzed. In this research, the problem had three different and opposite objective functions. The primary objective function is to minimize the cost of transportation and warehousing throughout the supply chain. The second objective function, which aims to minimize the total time of operations within the supply chain and the number of vehicles, and finally the third objective function, which aims to maximize the product freshness time. It has been shown that simply saving on the cost function, regardless of the delivery time of the products, is in good condition. Then, using simulated examples, it is shown that the L 1 metric method can make a good agreement between cost and time objective function. In the next step,

The fourth wave of corporate foresight that is called "open foresight"; is an approach that seeks to understand, anticipate and shape future changes through broad social interactions and knowledge sharing between internal and external stakeholders. However, open foresight literature is at the development stage. So the purpose of this article is to deep understanding and cognition the nature of open foresight in the form of three axes of "why, what and how". This research has been conducted by systematic literature review and summarizing articles indexed in valid international scientific databases in the interval (2000-2020). Research findings show that "why" open foresight is explained in two topics of environmental drivers and supportive theoretical perspectives. Out of box thinking, synergy of resources, external knowledge absorption, collaborative knowledge management, inspiration for open innovation and open vision represent "what" open foresight. The process of open foresight includes three stages: pre-foresight, foresight and post-foresight; and requires individual, team and organizational preconditions. In addition, the role of the strategist is very important for trust building, facilitating information flow, coordinating and evaluating programs. This research, with systematic literature review, offers a deep insight into "why, what and how" open foresight; and while developing open foresight theory, opens a new window for future researchers.

Cross docking is an appropriate method to reduce the warehouse space requirements, inventory management costs, and turnaround times for customer orders .This paper focuses on the optimization of the transportation cost and the planning of the movement of inbound and outbound trucks with multi cross dock and two different types of objective functions of minimizing total cost, minimize the number of transportation into the network inside the supply chain.. Since the paper model is a linear programming integer of zero and since these models belong to the NP-hard class, their solving time severely increases with increasing the problem dimensions. In this paper, to solve the model meta-heuristic algorithms have been used. The algorithms used in solving the model are Multiple Objective Simulated Annealing (MOSA) and Multiple Objective Ant Colony (MOACO) Algorithm. Finally, the model has been solved using two algorithms and computational experiments reported carefully to illustrate and compare designing and computational.

Artificial neural networks and fuzzy sets theory is one of appropriate techniques to solve engineering problems in order to predict variables of supply chains and, also, of systems with high complexity and implicitly which provide no sufficient data. The main advantage of this technique over others, which lies in the short time of data examination and algorithm discovery, is in the line with that prediction and/or its influence on the future. Adaptive neuro-fuzzy inference system (ANFIS) combines neural networks with fuzzy logic concepts and is able to use capabilities of both in one framework, the inference system of which is in conformity to fuzzy "if-then" rules having potential for learning how to approximate non-linear functions. Among applications of this technique are to define variables based on the past data and their impacts on the past temporal sequences in order to predict future conditions. This research, therefore, uses neuro-fuzzy technique in order to blood donation based on data from the past years. Since each technique has its own error rates, Metaheuristic Whale Algorithm is used to reduce errors of ANFIS by improving the parameter values of neuro-fuzzy systems. The obtained results show a reduction of the RMSE of prediction from 0.00261 to 0.00153 in the ANFIS-WOA and a 41% improvement over the ANFIS method.

Understanding the complex institutional interactions plays a vital role in adapting human resource approaches to the needs of society and its cultural and social missions. Accordingly, this study is intended to design a model for human resource management in education in line with the document of fundamental transformation document in the framework of the new theory of institutionalism. This applied research follows mixed method including content analysis, survey, and Fuzzy Expert System. The statistical sample in the survey section includes 219 senior managers, policy makers and experts of the Ministry of Education. In mathematical modeling method, 10 organizational experts are selected as the sample. To confirm the validity of the scale, confirmatory factor analysis is used, and the correlation and a standard questionnaire are used for convergent validity. Confirmation of the dimensions, components and extractive indicators of the research model suggest that methods of human resource for harmonizing the objectives of the document of fundamental transformation, require the use of different combinations of components of rationality, environment and uniformity, which must be considered in the configuration of each dimension of management, human resource, and education. Reaching to these optimal combinations can facilitate the implementation of human resource approaches to achieve the goals of the fundamental transformation document.