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 Relying on the theory of conservation of resources and theory of emotional contagion, the costs and indicators of deviant behavior of customers and the validation of the scale in the banking industry have been identified. Scale development and validation is vital for many fields, especially in social and behavioral sciences. In order to achieve this goal, three stages with nine steps have been taken and samples have been taken in two stages. First, 21 employees were selected in a purposeful manner and their experiences regarding the costs of deviant behavior were collected through interviews and an initial questionnaire was created. After checking the content validity of the questionnaire with the participation of five human resources experts and a preliminary study, the final questionnaire was distributed among 448 employees of various bank branches based on convenient sampling in Tehran and the evidence was analyzed with exploratory and confirmatory factor analysis. The research findings indicate that the costs of deviant behavior include five main dimensions and thirteen components. The dimension of customer misbehavior includes two components: non-communicative misbehavior and communicative misbehavior; The supervisor reaction dimension includes two components: punitive reaction and supportive reaction; The dimension of customer apology includes two components: behavioral apology and verbal apology; The dimension of short-term reaction of employees includes two components: physiological and behavioral reaction, emotional reaction, and long-term reactions of employees include five components: intention to leave the job, job stress, personality analysis, personal success analysis, and emotional analysis.

Abstract Consumer behavior is a critical aspect of marketing strategy that involves understanding customers' buying habits, motivations, and preferences. Better understanding of customer behavior through innovative methods of storing and analyzing customer data and information leads to formulation of more effective strategies. The emergence of new computing technologies has brought about major changes in the ability of organizations to collect, store and analyze big data. Many researches have done customer classification using unsupervised machine learning algorithms such as K-Means using the famous RFM model, but these models are insufficient by ignoring other important parameters according to the field of application. This research is applied in terms of purpose and descriptive in terms of data collection, and it is a quantitative type of research that was conducted using 200,000 transactions of online retail store customers during the period of 2013 to 2018. The model is modified by adding variety "D" as a fourth parameter, referring to the variety of products purchased by a given customer. Classification based on RFM-D is applied in the online retail market in order to identify behavioral patterns for customers. Examining the behavior of cluster customers showed that the variety of products, along with other behavioral variables, provided more profitability than the RFM model.

Abstract The purpose of this research is to investigate the state of knowledge in the field of “employee-organization relationship”, using bibliometric analysis. The research is applied in terms of purpose and descriptive-analytical in terms of data collection, with a quantitative approach. The statistical population of the research includes 289 studies indexed in the Scopus comprehensive database in the time period from 1978 to 2024. By examining the title, abstract and keywords of the studies, it was ensured that all these documents are suitable for analysis; therefore, in the analysis process, all these studies were reviewed. The bibliometric method and VOS viewer software (tool) have been used to analyze, visualize and interpret the collected data. According to the research findings, the most published documents in the field of employee-organization relationship were published in 2023. The United States, China and the United Kingdom respectively have the most published documents in the field of employee-organization relationship. Based on the co-occurrence author's key words, the keywords of perceived organizational support, employee-organization relationship, internal communication, job satisfaction, and human resource management respectively have the highest total link strength; in addition, some of the latest topics in this research field are: fractal organizations, organizational framework, human systems, non-linear modeling and organization relationships. The findings of this research can be considered as a guide for future research in the field of employee-organization relationship.

Abstract Perceived organizational obstruction is a negative phenomenon that can cause organizations to face many problems and make their survival and sustainability face serious risks. Therefore, it is necessary to identify and study the factors affecting the emergence of this phenomenon in a precise and scientific way. Considering this necessity and also due to the lack of a coherent framework related to the antecedents and consequences of this phenomenon, the present study was conducted with the aim of modeling the antecedents and consequences of the perceived organizational obstruction. This study is a practical research in terms of purpose and is qualitative research in terms of the nature of the data, and it was conducted with the meta-synthesis method. The statistical population consists of previous studies whose title, abstract and content were evaluated and finally 29 sources were selected for use in the research (as a sample). The collected data was also analyzed using thematic analysis. In the findings section, the antecedents of perceived organizational obstruction were categorized in the form of 2 dimensions, 7 components and 38 indicators and its consequences were also categorized in the form of 2 dimensions, 4 components and 28 indicators. The results can increase managers' insight and awareness of factors affecting perceived organizational obstruction and support them in planning and implementing necessary measures.

Abstract Recently, water has become a scarce resource in many countries, particularly in Iran. This study examines sustainable development strategies in the water sector and the agricultural industry, with the main aim of enhancing water consumption efficiency through the design of effective strategies. To achieve this goal, two methods of exploratory scenario writing and backcasting were employed. In the first phase, key scenarios were identified and critical decisions were extracted using exploratory scenario writing. Subsequently, the priority of these decisions was assessed through robustness analysis. In the next phase, backcasting was utilized to outline a desirable future and identify pathways to achieve it. These pathways were evaluated using the Delphi technique to identify the most significant ones. The results from both methods indicate the robustness of options emphasizing investment in water infrastructure, development of drought and salinity-resistant crops, and increased water recycling. It was also found that these two methods complement each other, providing complementary pathways and decisions. This research can serve as a solid foundation for policymakers and planners in managing sustainable water resources in the agricultural sector.

Abstract This study was conducted with the aim of identifying the components of charlatan behavior and investigating the effect of authentic leadership with the moderating role of moral identity on it in government organizations of South Khorasan province. The research philosophy is pragmatism and its approach is exploratory mixed method. The strategy of the qualitative part is phenomenology, which is based on the lived experience of 16 government employees who were selected purposefully. The data were analyzed using MAXQDA software and Colaizzi's method. Based on the results of this section, the primary model of charlatan behavior in the organization was extracted in the form of four components, fifteen sub-components and a total of thirty-four main themes. In the quantitative part, a questionnaire was prepared based on the initial model. After confirming its validity and reliability, it was distributed to 612 government employees who were selected through stratified sampling. Structural equation method and Amos software were used to analyze the data of this section and perform confirmatory factor analysis. Based on the results, all 34 main themes of charlatan behavior were confirmed. The comparative fit index for the research model was estimated 0.983, which showed the good fit of the model. The results showed that authentic leadership has a negative and significant effect on charlatan behavior. Employees' moral identity also moderates the effect of authentic leadership on charlatan behavior. Considering its context-oriented nature, this research led to identifying new angles for charlatan behavior in the public sector.

Abstract The developments of the last few decades in the economy, even capitalism and the crisis of 2007, show that it is impossible to talk about the withdrawal of the government in the development process. The level of government involvement in the development process is one of the important issues of the economy. The main goal of this research is to describe the way and scope of government intervention. The research method of this research is descriptive-analytical. Government production of goods and services, transfer payments, taxes and regulations are the four main channels of the government to influence economic activities. And the regulation of the government's optimal intervention based on investment, commercial and industrial policy has been investigated. Based on the results of the research, contrary to liberal beliefs that government intervention hinders development in East Asian countries, the conscious intervention of government agents is the main factor in the development of these countries, and the main focus in these countries is on the manner and scope of government intervention instead of interference or non-interference. In our country, the presence of the government should be comprehensive and focused on development. With the intervention of the government in the processes of development, regulation and guidance of the market mechanism, inadequacies can be eliminated and the economic system can be driven to a better situation in terms of resource allocation and economic capacity creation.

Abstract Since the design, implementation, and execution of any policy require consensus and alignment among its stakeholders, identifying these mindsets is a crucial first step in advancing such an initiative. National production, with its various dimensions, has been a key topic of interest for scholars and policymakers. Accordingly, this study aims to categorize the mindsets of actors in the field of national production in Iran, using Q methodology to identify and classify these perspectives. In this research, key propositions concerning national production were extracted through document analysis and subsequently presented to 28 stakeholders, including government officials, parliament members, and experts. Data analysis with Q methodology identified five distinct mindset types: "National Production Advocates," "Self-sufficiency Champions against Rent-seeking," "Pro-competition Opponents of Intervention," "Institutionalist Technocrats," and "Outward-looking Developmentalists." Despite some differences, stakeholders agreed on certain issues, including the regulatory role of the government, the need for targeted support for national production, the importance of completing the value chain in major industries, and the necessity of deepening production. A primary point of consensus is that national production requires a guiding entity capable of creating coherence and consensus among stakeholders, to implement cohesive and effective policies in this field.

Abstract Adopting a scientific approach to management and human resource management in Iran is less than a century old. This study has studied the evolution of "human resource management knowledge" in Iran using the qualitative research strategy of the Grounded Theory. The research data were obtained from interviews with a group of veteran professors of Iranian management knowledge, supplemented with data collected from written sources. The oral and written data of the research were then analyzed using open coding, central coding, and selective coding. The final theory based on the systematic model of the Strauss and Corbinchr('39')s Grounded theory categorizes the evolution of human resource management knowledge in Iran into four historical periods: "period of formation", "period of growth", "period of separation" and "period of re-creation" of human resources.

Abstract Customer relationship management provides the basis for customer optimal communication, customer loyalty and customer retention. This requires the design of customer-based strategies, the proper implementation and applying of technology, employee empowerment and increasing the level of customers knowledge. Given the advances in e-banking and the reduction of face-to-face contact points, the use of business intelligence tools to effectively use large volumes of customer information also seems necessary. The purpose of present study is to provide a conceptual framework for customer relationship management in electronic banking using business intelligence tools in Sepah Bank and merged banks. For this purpose, a qualitative research has been conducted and first, by reviewing the studies, the initial framework has been identified and then, Theme Analysis has been used for its development in electronic banking. The research population is 7 experts of case study. Semi-structured interviews were used to collect data and credibility and confirmability were used to assess the validity of the results. After analyzing the data, the customer relationship management framework in e-banking is classified into 6 dimensions, 16 components and 35 indicators. The main dimensions of which are Customer reach and acquisition, Customer identification, Customer attraction, Customer relationship development, Customer retention and customer relationship review.

Abstract The global banking industry, driven by new technologies and changing customer behavior, has undergone major changes unprecedentedly all over its history. As banks contend with innovation challenges in their processes, fintech companies benefiting from digital capabilities, deliver innovative and customer-centric services. In the business world, the collaboration between these two institutions has taken many forms. This has also attracted the attention of the academic community, and several papers have been written in this field. The purpose of this article is to review these articles, and its main question is: What has the scientific literature contribute toward bank-fintech collaboration? To answer this question, a systematic literature review, based on PRISMA Checklist, has been utilized and various specific areas have been examined to understand the necessity, evolution, challenges, drivers, benefits, barriers, and types of bank-fintech collaboration in the scientific articles. The most significant achievements of the articles are discussed in the paper; furthermore, different types of bank-fintech collaboration in the scientific literature are listed, and a bank-fintech collaboration algorithm is presented. Ultimately, the gaps in the literature and suggestions for future research are expressed.

Abstract Industrial groups have interactions within and outside groups. In this paper, twelve industrial groups of companies listed in Tehran Stock Exchange are reviewed in order to evaluate linear information dynamics. Conservatism measures of “ratio of sum of price to sum of book value” and “mean of price-to-book ratio” are considered. In sample periods, in order to remedy the effects of special factors in sample industries, later ratio is de-trended. For controlling effects of each industry, inflation, and some other factors on the various industry indices, two measures of “average annual difference between price and book value” and “each industry index” are considered. Industry analysis shows that "sum of price to sum of book value" criterion has a significant correlation with the average of market value to book value and the correlation would be stronger if using the de-trended criteriun. Finally, comparing scaled variables on the average annual difference between price and book value, it concluded that scaled variables based on the index of each industry led to a much stronger coefficient of valuation models. Therefore, for assessment and analysis of linear information dynamics in industrial groups (including environmental factors such as conservatism in accounting policies, industry, stock market indices, cost of capital rate, inflation, the policy of dividend distribution, past and present of book value and securities) can be used for developing residual income valuation models.

Abstract One of the main challenges constantly facing the majority of the organizations is planning to develop and improve processes and operations based on the adoption of new technologies, especially digital technologies, to react to the requirements of markets and competitive environments. Therefore, by using hybrid research approach (qualitative and quantitative), the present study explores the applications of digital technologies in terms of technical needs and business performances in the supply chain network of the bedding industry. The method includes developing an efficient measurement tool to evaluate the digitalization and automation specifications for integrated management of the supply chain operations and flows in manufacturing industries and validating it using the multi-criteria decision-making approach DANP (DEMATEL-based ANP), which is considered the study’s contribution to knowledge and the literature. Therefore, in the first step, the list of influential factors was determined as 6 process areas and a total of 22 related attributes using the desk-based research and Delphi method. Then, the weights and relationships among factors were evaluated using the DANP technique. According to the obtained results, the process area of inventory and warehouse management is considered the most critical factor with the highest weight. However, the process areas of sourcing and buy and business management were identified as the most effective factors in improving critical areas.