Abstract Organizational readiness for digital transformation has become the main topic of discussion in academic and organizational circles, and understanding it is one of the main challenges and priorities in theory and practice. Based on this, the aim of this research is to develop a model that conceptualizes the components of organizational readiness for digital transformation and its antecedents and consequences. To achieve this aim, a mixed research method (thematic analysis-structural equation modeling) has been used. The statistical community of this research is the managers and experts of the Information and Communication Technology Organization of Tehran Municipality. To collect data in the qualitative part, based on theoretical sampling logic, semi-structured interviews were conducted with 22 senior and middle managers in the organization. In the quantitative part, 220 people were selected as a sample using random sampling, and the data collection tool was a researcher-made questionnaire. Data analysis was done sequentially and in two stages: in the qualitative part, Brown and Clark's recipe was used in thematic analysis for data analysis. In the quantitative part, structural equation modeling method based on partial least squares was used. The findings of the research showed that organizational readiness for digital transformation consists of four dimensions: people, structure, processes and interactions, and data governance. The findings also indicate that organizational readiness plays a mediating role in the relationship between the digital environment and the digital organization. Finally, theoretical and managerial guidelines are discussed and suggestions for future researchers are provided.

Abstract Universities are influential and important organizations in society, where large amounts of data and information are produced and used. Considering the importance of using big data technology in universities, it is necessary to check how far Iranian universities have progressed in the subject of big data. The purpose of this article is to evaluate the maturity of big data in Iran's public universities. To achieve this goal, the TDWI model has been used to evaluate the maturity of big data in Iranian public universities. The questionnaire was sent to the entire statistical sample, and finally 50 completed questionnaires were received. Field method and standard questionnaire tools were used to collect data. Face validity was used to evaluate the validity of the questionnaire and Cronbach's alpha coefficient was used to evaluate the reliability.The results of the analysis showed that 2 universities are in the nascent stage of maturity, 27 universities are in the early stage, 16 universities are in the established stage and 5 universities are in the mature stage and there is no university at the advanced level of the maturity model. No relationship was found between the number of university students and big data maturity in universities, and the average level of big data maturity is significantly different between Tehran and city universities.In this study, based on the results, recommendations were provided to each of the universities participating in the survey to promote big data maturity.

Abstract In the contemporary era, the concept of sustainability has gained considerable attention. The increasing emphasis on sustainability can be attributed to the imperative of achieving a balance among the environmental, social, and economic aspects of various human development activities, leading to the emergence of the concept of sustainable development. This research, utilizing the GRI 11 standard as a specific sustainability reporting standard in the oil and gas industry, considers Sustainable Development Goals (SDGS) as valid indicators and evaluates their attention in the Iranian oil and gas industry. For this purpose, companies listed on the stock exchanges, involved in industries related to oil and gas, were selected as samples for study. The necessary research data were obtained through the analysis of integrated reports (board of directors’ reports) published by the studied companies and were used to achieve the research objective .The results of this research, categorized as problem-solving, utilizing an inductive-deductive strategy and a mixed method, reveal a score of 35.8% as the average rating for SDGs concerning their attention in the Iranian oil and gas industry. According to the obtained results, the Iranian oil and gas industry show the highest attention to goals related to the social dimension of sustainable development (average score: 26.4%), followed by economic dimensions (average score: 21.1%), and finally, environmental dimensions (average score: 20.6%) receive comparatively less attention.

Abstract Human resources are one of the most important assets of any organization, and they require intrinsic motivation to achieve effective work outcomes. Organizational social responsibilities can play a significant role in this regard. Despite the development of the concept of social responsibility, the focus on its activities related to the intrinsic motivation of employees has been overlooked. Therefore, this research aims to identify the organizational social responsibilities that impact employees' intrinsic motivation and to explore the gaps between managers and employees. This study employs a mixed-methods approach, utilizing both qualitative and quantitative methods, including thematic analysis and surveys. To this end, interviews were conducted with 25 managers of a public company. After initial coding of the interviews and Delphi test, , 25 basic themes, 8 organizing themes, and 3 inclusive themes emerged as follows: Success (including support for employees, assistance in learning and development, and actions leading to an increased sense of pride among employees), Belonging (including employee participation, provision of services to employees' families, and respect for employees), and Power (including adherence to ethical standards and justice within the company). The quantitative results also indicate significant gaps between managers and employees across all dimensions. The findings of this research contribute to enhancing the theoretical foundations in this area of study

Abstract Leadership and is an important topics in the literature of organization and management. The texts of Iranian classical literature also have many important topics in this field. Based on this, the aim of the current research is modeling the organizational leadership based on classical Iranian literature (Koliyat Saadi, Qabus-Nameh and Siyasat-Nameh). The current study is a mix method and exploratory research. The qualitative statistical population include management experts and the quantitative population includes employees and managers of Shiraz Municipality. After library studies, sem i-structured interviews and receiving the opinion of experts, the relevant concepts were extracted and the final number of 94 codes were confirmed by preliminary data analysis. These codes were categorized into three dimensions, including the thought dimension with 16 codes and three attitudinal, cognitive and character sub-themes; The deed dimension with 60 codes and three sub-themes of individual, group and organizational factors and the words dimension with 18 codes. Experts confirmed the extracted components based on Delphi-fuzzy logistic type 3 approach with Schubert input function. Using the ISM method, the relationships between the research components were classified in three levels. Finally, the structural equation model confirmed the difference in the views of managers and employees compared to the designed model. Managers approved the designed model in organizational leadership more than employees. culture, civilization and religion, which has been highly considered in classical literature can successfully design a leadership model that is more compatible with the conditions of the country's government organizations.

Abstract The automotive industry, as the forefront of the technological revolution, is undergoing a profound transformation with the integration of artificial intelligence (AI) technology. AI and its application in this industry have evolved into a complex technological ecosystem that encompasses numerous stakeholders. The objective of this research is to identify and analyze the position and role of stakeholders within the AI ecosystem in Iran's automotive industry. To this end, a list of stakeholders in the AI ecosystem was initially compiled. Subsequently, the position and role of these stakeholders were analyzed. Data regarding the stakeholders' positions were collected using an interest-power matrix, for which a questionnaire comprising 48 items was designed and completed by 36 experts and specialists. Based on the findings, the stakeholders in this ecosystem were categorized at both macro and micro levels and classified into four groups using the interest-power matrix: key stakeholders (with high interest and high power), contextual stakeholders (with high power and low interest), dependent stakeholders (with low power and high interest), and marginal stakeholders (with low power and low interest). The results indicate that governmental institutions, research centers, and automakers are among the key stakeholders, while financial institutions and some suppliers fall into the contextual stakeholder group. End-users, including consumers and drivers, are considered dependent stakeholders, whereas media and some regulatory organizations are categorized as marginal stakeholders. This classification can assist policymakers and industry players in optimizing interactions and fostering the sustainable development of the AI ecosystem in the automotive industry.