نشریه مدیریت پویا و تحلیل کسب و کار
سال سوم شماره 5 (پیاپی 10، زمستان 1403)

The aim of this study is to identify and analyze the relationships between strategic environmental factors affecting the capital market, highlighting the importance of understanding them in the dynamics of the capital market. 

This research is both developmental-applied in terms of its purpose and mixed-method in terms of data collection. The participants in the qualitative and quantitative sections of the study include 16 senior managers and experts from the Tehran Stock Exchange and over-the-counter (OTC) market, selected based on theoretical, purposive, and accessibility sampling methods until theoretical saturation. The components of the model were identified, categorized, and determined through content analysis and semi-structured interviews with experts, and then their relationships and levels were established using the interpretive-structural modeling approach. The validity ratio of the model’s indices was assessed and evaluated through content validity. 

The findings of the qualitative section indicate that the strategic environmental factors in the capital market consist of political, economic, social, technological, environmental, and legal factors, along with 81 indices and 15 factors. According to the findings of the quantitative section, "regional political-economic conditions," "economic policies," "dominant political conditions," and "environmental conditions" are the most influential factors on other factors in the capital market, while "government business regulations on the capital market" and "regulations related to the capital market" are in the second tier of influence. On the other hand, "corporate regulations in the capital market" and "economic factors related to companies in the capital market" are the most affected by environmental factors. 

These findings and the model suggest that managers should improve the capital market through political factors, and investors should focus on macroeconomic and political events when planning.

The aim of this research is to present a model of intellectual capital and competitive advantage in startups.

This research is applied in terms of purpose and descriptive-analytical in terms of methodology. The research method is applied, and in the quantitative section, a researcher-designed questionnaire based on the qualitative model was used after confirming its validity and reliability. The sample population included managers, investors, and entrepreneurs, with a sample size of 400 people estimated through stratified sampling.

The identified pathways in the research were explained in four main categories and their subcategories. The causal factors identified as effective in the intellectual capital and competitive advantage model in startups include: process capital, competence, enhanced bargaining power with competitors in acquiring knowledge and resources, relative power of actors, and the company's strategy. The identified drivers include: human capital index, innovation capital index, customer capital index, and infrastructure capital index. The identified strategic factors include: creating balance and achieving the optimal mix of collaboration and competition in the industry, membership in science and technology parks and incubation centers, the use of lean production processes, and the application of a technology-based competitive strategy. The identified outcomes that affect the intellectual capital and competitive advantage model in startups include: knowledge-based synergy in the structure of startup companies, dynamic and training-oriented re-marketing capability, product enhancement through technological leaps, value creation for customers, and the development and improvement of social, intellectual, and knowledge capital.

The study highlights the critical role of intellectual capital and strategic factors in fostering competitive advantage and sustainable growth for startups, emphasizing the importance of innovation, human capital, and strategic alignment.

This study aims to design a ritual marketing mix model based on interpretive structural modeling.

The research is exploratory in terms of its objective and qualitative in approach. In this study, 15 experts were interviewed for analysis. The snowball sampling method was used to collect data, which was then categorized and analyzed using thematic analysis. Semi-structured interviews and document analysis based on thematic analysis were employed to gather data in line with the research objectives.

Ultimately, one overarching theme, four organized themes, 11 basic themes, and 63 initial codes were identified. The organized themes included: religious advertising and promotional strategies, distribution channels and religious sales locations, religious products, and religious pricing. Based on interpretive structural modeling, the final model was developed.

The results suggest that integrating cultural and religious values into marketing strategies provides a comprehensive approach for engaging audiences in religious communities. This model can not only strengthen deeper connections with customers but also enhance social responsibility and help achieve the economic objectives of organizations. By adopting this approach, a balance is achieved between economic benefits and ethical principles.

In recent decades, the concept of employer branding has become an undeniable reality as a key factor in the growth and development of various industries, especially in the sugarcane industry. Therefore, the aim of the present study is to provide a framework for explaining employer branding in Khuzestan's sugarcane industries. 

This research employs two qualitative methods thematic analysis and structural-interpretive modeling. In the thematic analysis section, all available literature on employer branding was carefully analyzed and examined. For implementing the structural-interpretive modeling methodology, the opinions of 15 experts were collected using a snowball sampling method and were used as the basis for the study. 

The results revealed a core theme of employer branding, with six organized themes: economic factors, functional factors, social factors, developmental factors, psychological factors, and political factors, as well as 18 basic themes. In the second step, using structural-interpretive modeling and establishing pairwise relationships, the relationships between the core themes were discovered and prioritized at four levels. 

A strong employer brand can help companies attract and retain top talent.

The present study aims to identify and rank the antecedents and consequences of career path resilience among employees in the banking industry. 

This research is applied in terms of its objective and classified as a mixed-method study within the deductive-inductive paradigm. The qualitative population comprises university professors and experts in public management and human resource management. For this segment, purposive sampling was employed, resulting in 21 participants. The quantitative population includes senior, middle, and human resource managers, as well as branch managers of Tejarat Bank, with a sample size of 47 determined using non-probability convenience sampling. 

In the qualitative phase, data obtained from interviews were analyzed using MaxQda 2020 software and coding methods. The quantitative phase and final analysis employed the fuzzy Delphi method. Based on the exploratory interviews, 28 factors were identified as antecedents and consequences of career path resilience, which were subsequently ranked through quantitative research. 

The results indicate that environmental awareness, coping strategies, and career path evaluation are the most critical antecedents of career path resilience. Among the consequences, psychological well-being, promotability, and enhanced problem-solving capacity are the most significant outcomes of career path resilience

This study aims to identify and rank the key components influencing Iran's strategic model of trade diplomacy in World Expo exhibitions. 

The research adopts a mixed-methods approach. Initially, the components of Iran’s trade diplomacy in World Expo exhibitions were identified through a literature review and semi-structured interviews with experts. The interviews were analyzed using open, axial, and selective coding, resulting in 33 categories and eight key components. These components include cultural showcase, presentation of trade and economic opportunities, trade negotiation, resource management, national branding, private sector participation, development of a trade diplomacy framework (clear articulation of trade diplomacy policy), and research and development (R&D). In the quantitative phase, an interpretive structural modeling (ISM) approach was employed to develop Iran’s trade diplomacy model for World Expo exhibitions based on input from 15 stakeholders, including trade diplomats, business professionals, academics, and Expo organizers. Subsequently, MICMAC analysis was utilized to assess the influence and dependency levels of these components. 

The results indicated that private sector participation ranks at the highest level in Iran's strategic trade diplomacy model for World Expo exhibitions. Following this, national branding and the development of a trade diplomacy framework occupy the next level. Research and development, along with trade negotiation, were identified at the third level, while cultural showcase and the presentation of trade and economic opportunities were positioned at the fourth level. Resource management was placed at the lowest level of the strategic trade diplomacy model. 

Using interpretive structural modeling, the position of these factors was mapped in a variable scatterplot with the help of MICMAC analysis, allowing for the identification of key variables’ roles and interrelations within the strategic framework.

This study aims to explicate the developmental aspects of a managerial dashboard within the administrative automation system.

This study is correlational-survey and applied in nature. The statistical population comprises 1,750 experts and managers at various levels of Tejarat Bank. Utilizing Cochran's sample size formula, a sample size of 316 individuals was determined and selected through stratified random sampling. Data collection tools included observation, interviews, questionnaires, and documents. Three main dimensions—customer-related factors, technical factors, and organizational factors—were examined.

Data analysis revealed that operational features, customer information personalization, dashboard content, tangible features, ease of use, structural factors, managerial decision-making, and monitoring and control significantly impact the development of the managerial dashboard.

The implementation of a managerial dashboard in the administrative automation system, considering customer, technical, and organizational factors, can enhance organizational management and control and adapt to environmental changes.

The present study aims to identify the key factors influencing human resource governance based on national culture in the public sector of Kerman City. 

The research, in terms of its objective, is applied and, in terms of its method, qualitative, using a descriptive and thematic analysis approach. The statistical population of this study included 30 academic experts and human resource managers of public sector organizations in Kerman City, selected based on the principle of theoretical saturation using purposive and snowball sampling methods and according to the inclusion criteria of the study. The data collection tool was a semi-structured interview. Data were analyzed using MAXQDA2020 software and the six-step thematic analysis approach of Braun and Clarke (2006). To ensure the validity and reliability of the findings, the four criteria of credibility, dependability, transferability, and confirmability as outlined by Lincoln and Guba were employed. 

Based on the semi-structured interviews, 11 overarching themes (legal factors, technological factors, economic factors, social factors, environmental factors, political factors, cultural factors, organizational and managerial factors, educational factors, individual factors, labor market factors, and the values of national culture), 68 organizing themes, and 144 basic themes were identified. 

The academic and practical contributions of this research lie in its focus on the factors influencing the establishment of human resource governance at the national level from an institutional perspective.

This study aimed to identify the factors influencing energy consumption behavior among Ardabil citizens and to propose a comprehensive model for promoting optimal consumption of various types of energy.

The research was conducted using a qualitative method (Grounded Theory) and based on the criterion of theoretical saturation. Data were collected through semi-in-depth interviews with 30 Ardabil citizens. Sampling was conducted using the snowball method, and interviews continued until theoretical saturation was achieved. The data were coded, analyzed, and validated using the MAXQDA software and were verified through member checking and triangulation testing.

In this study, six categories, 19 components, and 165 indicators were identified to examine the type of energy consumption behavior among residential users, and strategies were subsequently proposed. The findings of this research indicate that energy consumption behavior among Ardabil citizens is influenced by several factors, including economic and social conditions, environmental awareness and attitudes, policies, governmental actions, and urban infrastructure.

By presenting a comprehensive model of the factors affecting energy consumption behavior, this study contributes to a deeper understanding of this complex phenomenon.

The purpose of this research is to examine the impact of political factors on financial statement fraud in companies listed on the Iranian stock market.

This research is applied in terms of its objective and uses a mixed exploratory (qualitative-quantitative) data approach. The statistical population for the qualitative part includes document analysis, literature review, and interviews using the Delphi method. The sample for the qualitative part was selected non-randomly and purposefully from a community of financial, economic, and academic experts. The statistical population for the quantitative part comprises all university professors and economic and financial managers in the country during the year 2023. Sampling was performed using multi-stage cluster sampling, with a sample size of 210 individuals determined through structural equation modeling. The research objectives were analyzed using a questionnaire and structural equation modeling in SmartPLS software.

The results showed that the political factors are composed of two components: 1) Individual factors, including political orientation and major shareholders, and 2) Organizational factors, which in this study include political communications, retirement of provincial officials, political stability, economic policy, political changes, and government supervision. Fraud consists of two components: 1) Internal factors, including corporate governance, financial forecasting goals, active personality traits, operational characteristics, liquidity, financial stability, external pressure expectations, declining product industry customers, and industry decline, and 2) External factors, including decreased industry profit margins due to external pressures and political conditions, rapid technological changes, monopolistic conditions in suppliers and wholesalers of the industry, the need for capital increase by management, increased use of estimation bases that are allowed according to standards for a specific industry, failure to apply a reasonable basis in accounting estimates by management, the necessity for investors to compare the company with similar companies, and the lack of timely and appropriate documentation for transactions. Additionally, the results indicated that political factors have a significant impact on financial fraud in companies listed on the Iranian stock market.

The research results showed that political factors have a significant impact on financial fraud in Iranian stock market companies.

The present study examines the impact of a company's sustainability performance on related party transactions and firm-specific risk. 

The statistical population and sample of this qualitative study include 143 (1144 company-years) companies accepted and active in the Tehran Stock Exchange during the years 2015-2022. 

The research results indicate that with the increase in sustainability performance, the level of related party transactions rises. This is because a company's sustainability performance signifies its ability to continue and sustain its business, which can enhance the trust of shareholders, customers, suppliers, and other related institutions. This trust can lead to increased cooperation and positive interactions with related parties. Additionally, sustainability performance negatively affects firm-specific risk, which may be attributed to various reasons, including increased tolerance and resilience against market fluctuations, reduced financial and operational risks, and the development of effective managerial strategies that aid in adapting to changing market conditions. 

Thus, this study provides significant findings that can assist in improving companies' managerial and investment strategies.