Theme Analysis

The purpose of this study is to investigate the role of e-commerce marketing capabilities in enhancing Iranian carpet export capabilities via a paradigmatic model. In fact, the present study seeks to identify various factors that may influence the role of electronic marketing capabilities in promoting Iranian carpet export capacity. The identified strategies obtained from the paradigmatic model in this study are ranked in order to develop an understanding of the strength of their effects on the outcomes of e-marketing at the international level. In terms of research philosophy, the present study is based on interpretive paradigm and is considered an applied-developmental research in terms of research orientation. The data were collected using semi-structured interviews and a standardized questionnaire. The study population consisted of experts and managers of the carpet industry in Iran, who were selected using purposive sampling. Data analysis was carried out using theme analysis approach in MAXQDA software, and quantitative data were analyzed using interpretive structural modeling in Excel software. The main finding of the present study is to introduce a paradigmatic model of the role of e-commerce marketing capabilities in promoting Iranian carpet export capability. This model identifies and introduces contextual, causal, strategic, and intervening factors as well as the implications of developing e-marketing capabilities with the primary concern of promoting the country's carpet export capabilities. In addition, in the quantitative phase of the study, thirteen strategies affecting two categories of short-term and long-term outcomes were ranked based on the strength of their impact on outcomes.

Retailers need to take care of their customers and attract new customers through introducing and advertising their products, considering that social network marketing communication has created a new and profound transformation in businesses. Retailers need to exploit and be more effective. Making their connections in the created space. Therefore, in this research, we present a model for the effectiveness of marketing communication in social networks for the first time in the retail industry in Iran. The statistical population of the research was determined by using targeted sampling among experts, including academic professors and marketing managers of retail companies, and using coding in the software, four main themes were extracted from interviews with the statistical population and related to the subject of research and information. Among the researcher's notes, the codes (concepts) of branding, brand preference, sales increase, word of mouth, and commercial advertising have been the most frequent. This model can be used by retail owners and business managers to create a sustainable competitive advantage through social networks, increasing the effectiveness of market communication.

Labor relations are a solution for solving organizational problems in order to solve the gaps in government organizations based on the macro policies of the administrative system. The purpose of the research is to identify and validate the drivers of labor relations for digital human resources in government organizations. The current research method is mixed (qualitative-quantitative) in terms of philosophical presuppositions of pragmatism (pragmatism), in terms of cross-sectional data collection, and in terms of exploratory nature, researchers use purposeful sampling in the qualitative phase to collect data using From the method of theme analysis (topic) to interviews with human resource experts in the executive field in the administrative and employment organization with 15 people, they reached theoretical saturation and in the quantitative stage by using G-power specialized software using the sampling method. A simple random sampling of 155 people with the position of executive expert was selected as a sample. The tool of data collection in the qualitative stage was an interview and in the quantitative part, a questionnaire. Validity and reliability were confirmed in the qualitative phase by experts and in the quantitative phase by using composite, Cronbach, and shared reliability in Pls software. The findings of the article showed that digital communication, structural innovation, organizational factors, digital culture, employee retention, and legal factors were introduced as drivers of labor relations.

Purpose: The purpose of this study is to design an organizational performance model based on the digital status of the organization in the Corona pandemic with a theme analysis approach in the Ministry of Industry, Mine, and Trade (MIMT).Method: This research was conducted with a qualitative approach. The research tool (data collection) was a semi-structured interview in which 27 elites and qualified specialists in MIMT (statistical population of this study) were selected using a purposive sampling approach to qualitative sampling.Finding: The results of data analysis in the qualitative section in the open coding stage identified 79 codes, which finally through axial coding achieved  3 categories (main category) and 21 indicators (subcategory).Conclusion: The main mission and goal of the managers of any organization is the effective and efficient use of various resources and facilities such as labor, capital, materials, energy, and information. Digital transformation, which has always been important as a fundamental and strategic action in organizations, has become more important in recent years following the outbreak of coronavirus; the pressures of the coronavirus epidemic have accelerated the efforts of organizations to create digital transformation

School principals' ethical considerations and organizational decisions can improve schools' image and social credibility. This study designed and validated Lorestan principals' conceptual, ethical decision-making model. The study has an exploratory mixed-methods design. The qualitative section included grounded theory, paradigm-based theme analysis, and interpretive structural modeling. Exploratory, descriptive methods underpinned the quantitative section. Education experts with scientific experience in decision-making and ethics and one or more articles in those fields constituted the qualitative section's research field. The quantitative section's statistical population comprised Lorestan's nearly 1,000 school principals. Semi-structured interviews with 18 purposively selected school principals provided data for the qualitative section. Random cluster sampling and Krejcie and Morgan's table selected 181 people for the quantitative section. A researcher-made questionnaire was used to collect data in this section. The qualitative data were analyzed using thematic analysis based on the paradigm model and interpretive structural modeling in three stages (open, axial, and selective coding) using MAXQDA 18. Management experts' opinions and Cronbach's alpha coefficient of 0.95 ensured the questionnaire's content validity and reliability. Quantitative data was analyzed using SPSS-25 and SPSS Amos software for confirmatory factor analysis and partial square model. Qualitative findings identified 15 organizing and five overarching themes: contextual factors, causal factors, strategic factors, intervening factors, and outcomes. The quantitative results from structural equation modeling demonstrated that Lorestan school principals' ethical decision-making model fits well.

Purpose: The purpose of this research was to provide a model for dynamic knowledge management in Iranian government organizations.Method: This research is applied in terms of purpose, survey-exploratory in terms of approach, and qualitative in terms of type. The statistical population of this research was a group of experts, including university professors, and senior managers of the Zanjan Province Industry, Mining and Trade Organization, and based on theoretical sampling, 11 of them were selected as a statistical sample and were interviewed. The approach adopted in this research to analyze the interviews was theme analysis.Findings: The results of the research led to the presentation of a new model in the field of dynamic knowledge management in Iranian government organizations, including five main variables (including: promotional levers of dynamic knowledge management, intra-organizational factors of dynamic knowledge management, extra-organizational factors of dynamic knowledge management, executive levers of dynamic knowledge management, and expected consequences of dynamic knowledge management).Conclusion: The results of this research showed that if dynamic knowledge management is implemented well in Iran's government organizations, it can be expected that organizational productivity and agility and the satisfaction of stakeholders will improve.