جستجوی مقالات مرتبط با کلیدواژه « مدلسازی ساختاری - تفسیری » در نشریات گروه « علوم انسانی »

The purpose of this study is to identify the strategic factors affecting sales performance and the role of social media marketing with a future research approch. Social media is transforming the classic dynamics of business and fostering a two-way communication between companies and their customers by creating a platform for dialogue, exchange and collaboration. The statistical population of this research was experts familiar with the subject, which included professors, managers and experts of companies. The sampling of the present study was a purposive judgmental sampling according to the interpretive structural modeling approach. 10 experts answered the questions. The reliability of the measuring instrument was confirmed in terms of absolute agreement and in terms of compatibility. The results of Mick Mac analysis showed that eight factors related to sales performance are divided into three categories of influencers, dependent and autonomous, according to social media in terms of permeability and dependence. Factors of sales performance, sales behavior, use of social media and competitive information collection in relation to the research topic are more effective and in contrast to other factors such as media type and goal-oriented education and attitude to media utility have the most impact and Are the least affected. The research findings also showed that in terms of futures research and identification of strategic variables, the variable of customer relationship technology is the most strategic research variable that affects sales performance.

The aim of this research is to identify and stratify the factors affecting sustainable human resource management in order to implement it effectively using structural interpretive modeling (ISM).

The current research is applied in terms of purpose and exploratory in terms of method, which was done in a mixed qualitative and quantitative way. In the first phase of the research, the meta synthesis method was used. In the second phase and the quantitative part, Interpretive Structural Modeling (ISM) method was used to level the factors and identify the most influential components.

According to the results obtained from the research, 7 components and 43 indicators were identified and validated for this purpose.

The results of this research indicate that the components of stakeholder pressure, government policies and regulations, factors related to human resources policy, cultural factors, and factors related to employees are interrelated variables; These variables have high dependence and high guiding power, in other words, the effectiveness and effectiveness of these criteria are very high and any small change on these variables causes fundamental changes in the system. Since the components that are determined as outputs in the last iterations will be more effective in terms of the interpretive structural equation method, therefore the components of government policies and regulations, and economic factors will be more effective and in order to achieve the implementation of sustainable human resources management. You should pay attention to these factors.

identify and level indicators affecting the export behavior of tea exporting companies using the structural-interpretive modeling method.

This is a descriptive applied research. The statistical population is the tea exporting companies in Gilan province, and because of the small number of these companies, the census method was used. The respondents to the questionnaire were the senior managers of the companies, 57 people were selected. The data collection tool is a questionnaire, the criteria studied in the questionnaire were identified through background mining and theoretical framework study. 33 indicators were initially selected and by designing the initial questionnaire through these indicators, 16 indicators were finally approved. In the second questionnaire, which was designed for the interpretive structural modeling technique, 16 final indicators were used for stratification.

Sixteen final criteria were leveled using this method in seven sections. According to the final analysis, twelve indicators were selected as dual variables, that is, they have high influencing power. Two indicators were selected as influential variables and two indicators were selected as influential variables.

Out of sixteen effective indicators, the index of attractiveness of foreign markets and the strategy of the company were identified as the most important factors. In the following, according to the obtained results, suggestions were presented to improve the behavior of tea exporters in Gilan province, the most important of which, according to the presented levels, include determining the export map, marketing according to the market of the target countries, and the use of e-commerce.

The purpose of the present study was the interpretative structural modeling of factors affecting the development of women's employability capacity with emphasis on the seventh development plan. This study was conducted based on the practical objective and with a qualitative and quantitative approach in the inductive-deductive paradigm. Identifying the effective factors on the development of women's employability capacity was done through semi-structured interviews based on theoretical saturation with 23 experts in the field of policy making, entrepreneurship and management. The validity and reliability of the interviews were confirmed by the method of relative content validity and Cohen's kappa index, respectively. In order to model the effective factors on the development of women's employability capacity, the opinions of 73 experts, managers and entrepreneurs who are familiar with the subject of the research were used with the help of a questionnaire. Validity and reliability of the questionnaire were confirmed using content validity and test-post-test method. Coding of interviews using Maxqda 2020 software led to the identification of 34 factors affecting the development of women's employability capacity with emphasis on the seventh development plan. Modeling of the identified factors with interpretative structural method led to the formation of thirteen levels, which support policies,

The purpose of the present study was the interpretive structural modeling of factors affecting the psychological resilience of auditors. This study is based on the practical purpose and from the perspective of the method, it is in the field of mixed studies with the inductive-comparative approach. The identification of factors affecting the psychological resilience of auditors was done through semi-structured interviews based on theoretical saturation with professors and experts in psychology, accounting and organizational behavior management. The validity and reliability of the interviews were confirmed by the method of relative content validity and Cohen's kappa index, respectively. In order to model the factors affecting the psychological resilience of auditors, the opinions of the founders, managers and accountants of the audit institutes in the number of 79 people were used with the convenience sampling method and with the help of a questionnaire. Validity and reliability of the questionnaire were confirmed using content validity and test-post-test method. Coding the resulting data using MaxQda 2020software led to the identification of 14 factors affecting the psychological resilience of auditors. Modeling of the identified factors with interpretative structural method led to the formation of seven levels, where psychological contracts, mindfulness and psychological empowerment were the most effective factors and psychological health was the most impressionable factor.

Green human resources management, as a strong tool that takes the role of human factors, can help organizations to fulfill their social responsibilities in order to protect the environment. This research has been carried out with the aim of systematically reviewing previous researches in the field of green human resources management, as well as identifying key elements and providing a structural model to implement the green human resources management process in the chemical and petrochemical industries of Bushehr province. By studying thematic literature and using the textual content analysis approach, six basic indicators were counted, and in order to localize them in order to implement green human resources management in the chemical and petrochemical industries, the Delphi technique was used in three rounds. The statistical population of the research was formed by managers and experts familiar with the subject and working in the field of petrochemical industries. A researcher-made questionnaire was used to collect data, and its validity and reliability were also confirmed. In order to design the structural model of the effective indicators for the implementation of the green human resources management process, the interpretive structural modeling approach in the fuzzy environment was used to manage linguistic ambiguities in judgments. The results of the modeling and analysis of Mik Mak showed that individual, group and organizational indicators are among the basic and influential indicators in the field of Sabza's human resources management; Therefore, managers are suggested to emphasize and pay more attention to this group of indicators.

The present research was considered with the aim of identifying and explaining the components of managers' popularity with the interpretive structural modeling approach. According to the literature and the theoretical foundations of managers' popularity, AI and ChatGPT were used to identify the components in four stages, and the response of each stage was done with ten components/indicators. Finally, the common components of all four stages were reviewed by 15 public and private sector managers and university professors related to the subject as an expert community. Using the interpretive structural modeling technique, the relationships between the final components were investigated and, while leveling the components, it showed findings in the framework of the level of power/power of influenceand dependence of thecomponents. except forthe component of strategic and visionary thinking which is on thesecond level, the rest of the components were placed on the first level.Also,the componentsof "justice/fairness" and "flexibility and adaptability" were determined astheconnecting components of managers' popularity. These components have great power finfluence nd power of dependence,and atthe same time they affect all thecomponents; They will be affected by allother components.therefore,for he selection and appointment of managers, while keeping inmind the scientific, practical, occupational,managerial, ethical, jihadi standards, adherence to the principles of the Islamic Revolution, the degree f intellectual and religious alignment with the government, the degree of their popularity and acceptance byother managers andall co-workers ,considered and use this spiritual and executive potential to rate the acceptability and popularity of the manager as a reliable item.

The aim of this research was developing a quality model for performance evaluation in the Bowling, Billiards and Bowls Sports Federation. In this research, Delphi method was used which in the first stage - with qualitative and inductive approach - the data obtained from in-depth interviews with organizational and external experts (11 person) were analyzed using MAXQDA software and thematic analysis method. It led to the drawing and networking of endowment organization performance management themes (441 codes and 26 themes). In the second step - with a quantitative approach - the interpretive structural modeling (ISM) approach was used to structure the experts' views which is one of the soft operational research techniques. As a result, the final conceptual model was drawn by classifying themes from the first stage and exploring the relationships between them. The research findings include eight basic themes that determine performance: Leadership and management, Relationships, Membership, Financial management, Standardization, Positive image, Maintaining the value of sports in the community, and Staff training and skills. Also, 3 themes were identified as performance results, which included the three components of educational activities, internal and external competitions, and changes in the rules for establishing clubs. These 11 components are the components of the final research model. Finally, based on the components in the final model, practical suggestions such as the use of performance reports by managers, establishing manager relations with other federations and how to satisfy customers and employees were presented to managers.

developing a suitable message content strategy is necessary for advertising campaign successful, so much so that some researchers have mentioned it as one of the most important decisions for advertising campaign designers. A review of previous studies reveals that the choice of the appropriate message content strategy depends on various variables. In this regard, previous researchers have mentioned some factors, but so far, no integrated study has been conducted on the factors affecting the choice of message content strategy and the relationship between them. According to this, the current research aims to identify effective factors of advertising message content strategy selection and the relationship between them. Sequential Mixed Method (qualitative- quantitative) used for achieving the purpose of study. In the qualitative part of the research, the data obtained from the meta-analysis of literature of the period 1950 up to 2022 and interviews conducted with advertising campaign experts were thematically analyzed. The results of this stage of the research identified 15 factors, which were obtained from 29 themes. Then, in the quantitative part of the research, in order to investigate the relationship between the factors, Interpretive Structural Modelling (ISM) and MICMAC analysis was used. The results of Interpretive Structural Modelling leveled the factors in five levels, and the results of MICMAC analysis also categorized the factors into three categories of independent variables, Linkage variables and dependent variables. The results of this study will help the practitioner in how to determine the message content strategy.

 The holy defense period is one of the unique moments in the history of Iran. A moment that evokes the authority and honor of recapturing occupied areas and winning amazing military victories. Explaining the method of war by J.A. Iran in the era of sacred defense is the aim of this research, in line with which the authors raised the question that the war method of J.A. How can Iran be explained in the holy defense as an important factor in gaining these victories? After discussing the theoretical issues, the most important features of the war style of the Islamic Republic of Iran in the Tahami War were extracted from the available written sources (mostly from the views and statements of the war commanders). In the following, in order to validate the findings, by using the opinions of experts in the framework of completing the researcher-made questionnaire and distributing it among 15 experts, the identified characteristics were first confirmed, and then by using the structural-interpretive modeling method, the authors sought to identify the characteristics of the method. The war of the Islamic Republic of Iran during the period of holy defense and the ratio of each of the features came out with each other.The findings of this research show that the mentioned features can be divided into three levels: infrastructure, intermediate and superstructure (according to the degree of influence and vulnerability). The main success factor of Iran's war method depends on the fact that that method is "unknown" by the enemy. Being local and faith-oriented is one of the most important features of the Islamic Republic of Iran's war style during the period of holy defense.

The aim of the research:

 considering the growing importance of digital transformation and its necessity for the survival and success of organizations, the present research aims to provide a model of the soft components of digital transformation using the network of themes resulting from theme analysis and then leveling the resulting themes. Thematic analysis was done using the quantitative method of interpretative structural modeling.

This research was conducted using a mixed qualitative-quantitative exploratory method. In the qualitative part, the theme analysis method and MAXQDA software were used, and overarching themes, organizing themes, and basic themes were identified, and then the resulting theme network was drawn. Excel software was used for ISM analysis and the components were leveled and a conceptual framework was obtained. Semi-structured interview tool and researcher-made questionnaire based on the content analysis of the interviews were used to collect information. In the qualitative section, 14 experts from the Ministry of Communications and Information Technology in the field of digital transformation were selected for interviews with a purposeful and judgmental sampling method. In the quantitative part of the research, 30 expert professors in the field of management and digital transformation were selected by purposeful and judgmental sampling.

After analyzing the data in the qualitative section, 184 basic themes were identified in the form of 44 organizing themes and 6 comprehensive themes including organization manager, digital leader, culture, digital strategy, digital innovation and human capital. Then, by using the quantitative method of interpretive structural modeling, comprehensive themes were leveled and the final model of digital transformation was obtained. The findings of the research showed that digital strategy as an underlying component of soft digital transformation requires a lot of attention and the components of culture, organization manager, digital leader and digital innovation as linked variables are considered the most important components of soft digital transformation. Finally, the human capital component was placed as a dependent variable that is affected by other components.

Since the digital transformation consists of two parts, hard and soft, and the current research aims to identify the components of the soft part of this transformation, and according to the findings of this research, the managers of organizations should be familiar with and understand the components of this transformation. The soft parts of digital transformation in their organizations, which is specific to the soft part of digital transformation, should create and promote the necessary technical and non-technical platform for this tremendous transformation in their organization and avoid paying attention only to the hard part of digital transformation, because neglecting the soft part Digital transformation will lead to the failure of this transformation.

Mental health disorders pose a significant threat to human well-being, particularly affecting urban populations. Despite the paramount importance of addressing urban mental health, effective strategies for improvement remain elusive. This concern has garnered heightened significance in Tehran, a city with a pressing need for viable solutions. This research aims to identify key strategies to enhance the mental health of the city. Employing a descriptive-analytical research method, the study utilizes content analysis and structural analysis to pinpoint crucial solutions. The findings reveal that three primary strategies — the formulation and execution of a comprehensive mental health plan, the integration of aesthetically pleasing urban design to promote mental well-being, and the adoption of innovative approaches such as mobile health programs and online services — are deemed pivotal variables. Consequently, the implementation of these solutions holds the potential to significantly enhance urban mental health in Tehran.

The present study was conducted with the aim of identifying and leveling the effective factors in the implementation of blended learning in the preparation of student teachers of Teacher Training University. In this research, a combined method was used. Sampling in both quantitative and qualitative phases of this research was done theoretically. In the qualitative part, interviews with professors and experts in the field of technology continued until reaching the theoretical objects. The tool for collecting information in the qualitative part was a semi-structured interview, and in the quantitative part, a researcher-made questionnaire. In order to measure and evaluate the questionnaire, the criterion of content validity was used. Also, the results obtained using the interpretive-structural modeling technique were analyzed and finally the relationship and sequence of factors were extracted. The results showed that executive and educational structuring, technical infrastructure, financial support and educational incentives form the basis of using combined education. The insight that this model provides to university officials can help them in strategic planning in critical situations.

Today, production, especially in the clothing industry, is undergoing rapid and continuous changes in customer needs. With the increasing customization of products, the production paradigm has shifted to increasing decentralization and socialization. Social manufacturing is a new paradigm in production systems that is decentralized, participatory, service-oriented, collectively-based, intelligent, and customized. In social production, the active customer is identified as a person who is both producer and consumer, and can contribute to the entire life cycle of a personalized product. This study seeks to explain the factors affecting the establishment of a social manufacturing system in the Iranian clothing industry. The purpose of this study is practical and the effective factors on the establishment and implementation of social manufacturingn system were identified by studying the literature and opinions of experts. 21 factors influencing the establishment of this system in the Iranian clothing industry were confirmed. In this paper, a fuzzy Dematel-ISM method is used to identify and investigate the interrelationship between criteria and to classify them. As a result, "shared production business model design" and "production credibility assurance" as well as the "macro clothing industry plan" have the most interaction with other factors such as "training", "cloud manufacturing platform", "configuration and organization platform" and "managing information system and shared data" will have the most impact on the system. On the other hand, factors such as "collaborative production management", "social networks", and "customer social relationship management" are the most influenced by the social production system.

This study aims to provide design and validation of the effective size model of internal audit department in Iranian companies. The purpose of this research is an applied-developmental research that has been done by cross-sectional survey method. The statistical population of this study includes the partners and managers of the Iranian Association of certified public accountants and the employees of auditing firms. Sampling of managers was done in a non-probabilistic and purposeful manner and staff sampling was done by random sampling method. The data collection tool is a questionnaire. The validity of the questionnaire was confirmed by construct, convergent and divergent validity. The reliability of the questionnaire was also confirmed by two methods of calculating Cronbach's alpha and combined reliability. Structural-interpretive modeling method was used to design the initial model and partial least squares method was used to validate the designed model. Data analysis was performed with MicMac and Smart PLS software. The results show that "comprehensive internal audit plan" and "corporate governance structure" have the greatest impact on determining the effective size of the internal audit department. These elements affect the "internal audit methodology approach" and the "description of internal audit tasks". Similarly, "human resource management", "risk management" and "internal audit mission" affect the "quality of the audit committee". The quality of this committee affects the "value added of the internal audit" and leads to the determination of the "size of the internal audit".

The present study was conducted with the aim of designing the model of the emergence of the similar-to-me effect in the selection of government organizations with the interpretive structural modeling method.

This research is based on mixed qualitative and quantitative researches in inductive deductive philosophy and is practical in terms of purpose and survey in terms of descriptive method.The statistical population of the current research is experts including university professors in the field of organizational behavior management and human resource management,as well as senior managers of government organizations,whose sample members were selected by convenient method and based on the principle of theoretical sufficiency.The data collection instrument in the qualitative part is a semi-structured interview. Its validity and reliability were tested using theoretical validity and intra-coder and inter-coder reliability.Also,the data collection instrument in the quantitative part is a questionnaire whose validity and reliability were measured by content validity and retest reliability.In this research,in the qualitative part content analysis and coding method with Atlas.ti software were used to analyze the data.Also,in the quantitative analysis, structural equation modeling method was applied.

The findings of this study include factors affecting formation of the phenomenon of similar-to-me effect and presenting its model.

The results of the research include the design of the model of the emergence of the similar-to-me effect, the similar-to-me effect in this research has been developed in four main levels and based on the platforms of formation, the causes of the similar-to-me effect, the dimensions of the similar-to-me effect and its consequences.

In marketing management, there is a situation in which a group of customers advertise for a brand based on common beliefs and prejudices in the virtual space. In line with the need to support the production of domestic industries, brand tribalism can be a suitable strategy to guide these industries and their products towards success by taking advantage of common prejudices and creating interest and loyalty to the products produced by domestic industries. . Therefore, the present research was conducted with the aim of providing a model of the emergence of brand tribalism and how brand tribalism is formed with the interpretive structural modeling method.This research based on mixed research and qualitatively and quantitatively in an inductive comparative paradigm, which is practical in terms of purpose and survey in terms of nature and descriptive method. The statistical population of the research is experts whose sample members were selected by snowball sampling method and based on the principle of theoretical adequacy. The data collection tool in the qualitative part is a semi-structured interview, whose validity and reliability were tested with the content method and theoretical validity and reliability within the coder of the intermediary. Also, the data collection tool in the quantitative section is a questionnaire whose validity and reliability were measured by content validity and retest reliability methods. The research results include identifying the components of brand tribalism and presenting a model of how this concept is formed. The model of brand tribalism in this research has been developed in four main levels based on the formation platforms, interrelated and intervening factors, dimensions of brand tribalism and its consequences.

The purpose of this study is to present a conceptual model using interpretive structural modeling in order to achieve an organizational crisis management model with a human resource management system approach in the Iranian Red Crescent population. The present study is a survey and the method used to present the model and analyze the data is interpretive structural modeling. For this purpose, library study and opinions of experts in the field of crisis management and human resource management have been used. Modeling is done in two stages. In the first stage, 30 indicators were identified in library studies and in 3 stages, using Delphi method with the opinions of 15 experts consisting of population managers and experts in the field of human resources, 3 indicators were removed and 27 indicators were finalized. From a questionnaire with the opinions of 13 university professors in the field of management of the organization; Structural self-interaction matrices, initial achievement and final achievement matrices were extracted. The results show that in the stage of determining the level, 27 indicators are located in five levels and by categorizing the criteria using motivational power and dependence; Key, dependent and link variables are represented using the MICMAC method.