نشریه مهندسی مدیریت نوین
سال دهم شماره 4 (زمستان 1403)

The purpose of this research is to identify and rank the enablers of implementing knowledge management in the Pars MCS Company. For this purpose, the importance-performance analysis approach has been used. First, by literature review, knowledge management implementation enablers including 7 factors of organizational structure, organizational culture, information technology, strategic approach, people, commitment and management support, and human resource management have been identified. Then the importance and performance of these factors have been evaluated. To determine the importance of enablers, the analytic hierarchy process approach and the opinion of 5 academic experts have been used, and to determine their performance, the opinion of 11 managers and supervisors of Pars MCS Company has been used. Finally, the enablers were categorized by the importance-performance approach. The results showed that the factors of organizational culture and commitment and management support are in the area of excellent status, and it is recommended to continue and maintain their current status. Also, the factors of human resources management and strategic approach are located in the critical area, and the attention and investment of the company in these factors is recommended.

The use of quantitative methodologies for forecasting financial markets has now become an indispensable practice worldwide. Employing investment strategies along with genuine artificial intelligence can enable professional traders to mitigate risk and enhance returns. This study proposes an optimal framework for stock portfolio optimization through momentum and reversion strategies. Mean-variance-skewness optimization techniques were used in this study. Accordingly, the returns of analyzed stocks were ranked in descending order based on fluctuations in their prior earnings. Data from 160 firms listed on the Tehran Stock Exchange between 2014 and 2019 were used to depict the efficacy of the proposed strategies.The results of the objective functions for the specified portfolios were obtained in MATLAB. The data were then employed to facilitate the development and optimization of mean-variance skewness portfolios based on momentum and reversal strategies, which were compared in performance. Data analysis revealed that portfolios optimized using the momentum strategy exhibited superior performance and profitability to other strategies.

This study aimed to examine the outcomes of servant leadership based on the presence of public service motivation among the employees of Kerman Municipality. Servant leadership, as a managerial style emphasizing the enhancement of employee motivation, can foster mutual trust between leaders and followers, thereby strengthening employee motivation. The statistical population of this study included 154 employees of Kerman Municipality. The tools used to measure the research variables were standard questionnaires with a reliability coefficient exceeding 0.8. The Smart PLS3 software was utilized for data analysis and hypothesis testing. The findings indicate that servant leadership has a positive and significant impact on public service motivation among employees. This leadership style, by enhancing mutual trust, improves employees' ability to provide better and more efficient services. Therefore, managers and public organizations should carefully adopt this leadership approach and strengthen employee motivation to deliver more effective services to the community. This study demonstrates that servant leadership, by improving and reinforcing public service motivation, can significantly enhance the performance and services provided by Kerman Municipality. It underscores the importance of public organizations focusing on increasing the capabilities of both employees and managers to optimize service delivery. Managers should consider this aspect carefully to achieve better organizational outcomes.

Since Professor Lotfi Asgarzadeh introduced the fuzzy set to the world in 1965, many new theories about inaccuracy and uncertainty have emerged. Some of these theories, as a secondary development of fuzzy set theory, proposed a new concept called Picture Fuzzy Set (PFS). On the other hand, one of the methods that is widely used in multi-criteria decision making is called TOPSIS method. In this article, the TOPSIS method is first explained in the presence of fuzzy image data, and then a new ranking index is developed using this method, with the aim of improving its performance. In the following, an example is solved using Excel software to explain the method presented in this article. Also, by solving an example with fuzzy numbers that is presented in the definition of image fuzzy numbers in this research, the necessary changes are made using Excel software and the distance to the ideal and anti-ideal state is calculated. Finally, a new ranking is determined.

Reliability refers to the percentage of equipment success during their operation period. Reliability of hospital equipment after selection and preparation depends on proper maintenance and operation throughout the life of the operation. The aim of the current research is to provide an efficient model for prioritizing hospital equipment for inclusion in the maintenance and repair program. Because one of the most important effective things in maintaining the reliability of the equipment is maintaining this equipment at the proper performance level. From the point of view of the practical purpose, this research is a fuzzy survey and Delphi data collection method. The analysis of information about the weighting of indicators has been done through pairwise comparisons and fuzzy hierarchical analysis, and in equipment prioritization through the fuzzy improved TOPSIS model. The results show that the priority of the equipment of the dialysis department as a sample community according to the main indicators of value, nature, amount and conditions of equipment activity, as well as 9 sub-indices of these main indicators, is as follows. The first priority is UPS, the second is reverse osmosis, and the third is dialysis.

The spread and epidemic of the coronavirus have had various consequences for the daily life of consumers and have significantly affected the way businesses operate, purchase and consumer behavior. Therefore, investigating the influencing factors on consumer behavior in the era of Corona is essential for business managers to monitor changes in purchasing behavior and consumer habits. Hence, the current research aims to investigate the effect of fear caused by the covid-19 epidemic (fear of health and fear of economic conditions) on consumer buying behavior in various Iranian generational groups. The research is descriptive-survey in nature and practical in purpose. The statistical population is all consumers in 5 provinces of Tehran, Isfahan, Fars, Eastern Azarbaijan and Alborz. The sampling method is random and clustered, and the statistical sample size is 368 people. Data is collected using a questionnaire that was distributed electronically and in print. The validity of the mentioned questionnaire was confirmed by experts and the pre-test and its reliability was confirmed by calculating Cronbach's alpha. To analyze, SPSS 26 software was used.The results showed that the fear of health and the fear of the economic situation leads to a change in buying behavior. The fear of health among different generations has a significant difference, and the fear of the economic situation does not differ among different generations. Also, there is no significant difference in buying behavior among different generations.

Oligopoly is one of the common structures of the market and is actually a state between pure competition and pure monopoly. The theoretical literature distinguishes between the behaviors of companies in adopting competitive pricing strategies. It is common to study models where all firms are price-makers or price-takers, but the simultaneous application of price-making and price-taking strategies by firms producing a similar product using game theory has not received much attention. Therefore, the purpose of this article is to use game theory with equilibrium concepts forward-looking equilibrium reasoning, and backward-looking individual learning simulation tools to investigate the behavior of companies. The results of the recent study showed that the Cournot-Nash model is a stable model for the real evaluation of pricing strategies in a dynamic oligopoly market. However, with a larger number of firms, a unilateral deviation from Cournot's behavior becomes profitable. In this paper, we have formally proved that the only possible stable market is the Cornot market, where every firm can be a price taker. Conversely, a market in which all firms accept only prices is never stable, and therefore Walrasian equilibrium is not applicable according to the findings. When there are no stable markets, the market does not evolve toward a fixed composition, but the number of price takers typically decreases. In such a situation, the market composition follows a cyclical pattern that is related to the stability or volatility of crude expectations.

Government policy in the field of security is one of the most important political strategies that protects a society against internal and external risks and provides public satisfaction. Therefore, the competence of policy makers and policy makers in making security decisions is one of the most important tools to achieve this goal. In this regard, this article has been done with the aim of presenting a model of competence of policy makers in the field of security. For this purpose, through a mixed exploratory study (qualitative and quantitative) that used basic data theory as a qualitative approach and descriptive-survey method as a quantitative approach, from the statistical population of security policymakers in Chaharmahal and Bakhtiari provinces of Isfahan. And expert experts with at least 10 years of work experience, 16 people were selected as a sample in a purposeful way, and first, by conducting a semi-structured interview, their opinions about the competencies of policymakers were collected, coded and qualitatively analyzed. In the second stage, questions were extracted from the listeners' interview opinions and after confirming the validity and reliability above 0.70, the questionnaires were completed and collected and analyzed by the second statistical sample. The results of the qualitative part of this research indicate that "from the point of view of security policy makers, the necessary competencies for policy making in order of importance

The purpose of this study is to determine managerial and personality traits. Managers with modesty from the third, in this study, the qualitative method of content analysis was used, after reviewing studies and research backgrounds and using the data obtained from interviews with 12 elites and qualified professionals, in three stages, Open, axial and selective coding were analyzed. The face and content validity of the interview questions were confirmed by experts and the reliability of the analyzes was confirmed by the open-test reliability method (0.90) and inter-coder reliability (0.76). The data were analyzed using Atlas Ti 8 software and the identified components were identified. It was categorized into two distinct dimensions including the personality traits of managers with modesty and the managerial characteristics of managers with modesty. In the quantitative part, the data obtained from the exploratory factor analysis questionnaire were analyzed with the help of SPSS26 statistical software. In the confirmatory factor analysis outputs of the software, because the standard unit loads of all items are higher than 0.3 and the significant coefficients of the model are all higher than 1.96, and also the indices of the fit tables indicate the suitability of the model. All factor loads and model path coefficients are significant

The effects of exchange rate uncertainty and interest rate uncertainty on economic growth and development are among the economic issues that still face a research gap. The purpose of this research is to investigate the effects of uncertainty of exchange rate and interest rate on economic growth and development in selected Islamic countries. The current research is analytical and descriptive in terms of content and practical in terms of purpose. Content information from the present research has been extracted using the document-library method and the statistical data related to the research has been extracted using global statistical websites. The models used in this study have been estimated using the annual data of 40 selected Islamic countries for the period of 2010-2021 using the system of simultaneous equations. In order to calculate the index of uncertainty of exchange rate and interest rate, the method of recursive network has been used. The results of the research showed that the fluctuations of the exchange rate and interest rate had a negative effect on the economic growth of the studied countries. It was also observed that the fluctuations of exchange rate and interest rate had a negative effect on the economic development of the studied countries.

The purpose of the current research was to identify the themes of professional development of training managers in industrial organizations with emphasis on digital culture. This research was exploratory and was done with thematic analysis method. The participants in the research included managers and education experts in the field of industry, who were selected purposefully and with the snowball technique and with the criterion of theoretical data saturation. For this purpose, semi-structured interviews were conducted with 3 of them. The validity of the research was checked and confirmed based on transferability, reliability and verifiability. The findings obtained from the conducted interviews are a total of 33 basic themes and 9 organizing themes (digital vision, digital customer orientation, digital strategies, digital attitude, mental and environmental agility, digital literacy, ecosystem thinking, digital dreaming, Digital Ambassadors) was identified under 1 overarching theme of professional development based on digital culture. The results showed that the professional development of education managers in industrial organizations based on digital culture, based on the themes identified in this research, is the basis for intellectual growth and development and the basis for the maturity of digital transformation and the realization of human capacities, and education managers should Professionals should be developed to successfully carry out this mission and provide the field of organizational excellence with the movement of industrial organizations towards digitalization.

In today's digital landscape, Artificial Intelligence (AI) has emerged as a transformative force in marketing strategies, with organizations leveraging this technology to enhance customer experiences and boost purchase intentions. However, limited research has explored the direct impact of AI on consumer purchase intentions through mediating variables such as perceived value, consumer engagement, and satisfaction. This study addresses this gap in the literature by examining the influence of AI on consumer purchase intentions. In this study, data were collected from users who were at least 18 years old and had experience purchasing clothes through Instagram. The results were analyzed using Structural Equation Modeling (SEM) .Findings revealed that AI positively and significantly impacts purchase intentions by enhancing perceived value and increasing consumer engagement. Additionally, perceived value serves as a critical mediator between AI, satisfaction, and ultimately purchase intention, highlighting the importance of this variable in amplifying AI's effects on consumer behavior. This research contributes to the field by innovatively incorporating perceived value into marketing research models, offering a deeper understanding of how AI influences consumer behavior. It provides companies with insights into how they can leverage AI to optimize their marketing strategies and elevate customer experiences.