فصلنامه علوم مدیریت ایران
پیاپی 61 (بهار 1400)

This study aimed at designing a model of empowerment for knowledge based small and medium-sized enterprises. We conducted this study, considering the shortages of previous studies on comprehensive empowerment model of SMEs. We used a mixed method to collect data. The statistic population in both qualitative and quantitative parts of the study included academicians and the experts from SME enterprises.  In qualitative part of the study, we conducted a semi-structured interviews and in quantitative part, pairwise comparison questionnaire was used to be filled by experts.  Data were collected in qualitative part of the study by a semi-structured interviews and in quantitative part; pairwise comparison questionnaire was used for expert survey. We used theme analysis in the qualitative part of the study and the DEMATEL method for quantitative part of the study. The findings of theme analysis showed that the knowledge-based SME empowerment model is consisted of five dimensions; individual, financial, entrepreneurial, marketing and technology empowerment. The quantitative findings indicated that the factors affecting SME empowerment are individual and financial empowerment and impressible factors are entrepreneurial, marketing, and technology empowerment.

In recent decades, the traditional economic-centric development model of management education has been questioned and criticized for its destructing social and environmental consequences. Meanwhile, the role of business schools in educating future managers and development influencers in many societies has been contemplated and demand for paying more attention to management education in areas of responsibility and sustainable development has increased. As a aresult of these demands, the concept of "Responsible Management Education", which focuses on corporate responsibilities and social impact of private sector activities on societies was born. The RME focal points refers to the environment, sustainable development, and business ethics in business school curriculums. In the last two decades, important developments have taken place in reference to RME and have opened up new discourses and paths in the field of management education and research. In this paper, we review a significant volume of related articles from reputable international publications, aiming at classifying the drivers and challenges business schools are facing, while introducing the evolution of RME.  Findings of this critical review of the literature indicate that following the first wave of changes in the curriculum of management schools, a new wave of demands for RME has been formed, which beyond just adding a limited number of optional or compulsory courses, calls for more fundamental changes and seeks to integrate these issues in the entire curriculum of business schools.

The purpose of this paper was to design an effective Environmental Scanning model for Iran’s sports strategic foresight based on the STEEPELD model. This exploratory and mixed research was aimed at setting the critical uncertainties through a sample survey method. The statistical population were25  faculties of sports management who at least holding an associate professor degree. They were selected based on simple random sampling method.  In order to adjust the environmental factors, a 61-item questionnaire with convergent validity of (0.622) and composite reliability coefficient of (0.868) was designed. We used, Friedman test, structural equation modeling (PLS) and panel of experts for analysis of questionnaires. The results confirmed the overall fit of the model with eight environmental indicators and GOF = 0.745. The components of increasing social capital, expanding mass media and social networks, and developing a legal system were identified as key uncertainties. Therefore, the research model can be effective as a guide in predicting the future of sports organizations.

The literature on CSR branding models show that little attention has paid to service industries such as banking industry. The aim of this research is to present a CSR branding model in Iran’s banking industry by applying the SEM method. We interviewed eighteen banking experts via a semi-structured interview and used a thematic analysis approach to analyze the data.  This process helped us to figure out the components associated with CSR branding model in Iran’s banking system which in turn helped us to design a questionnaire for quantitative phase of our study. The questionnaire were distributed among 520 customers in three branches of each sixteen public and private banks which had chosen on the basis of multiple cluster sampling method. We analyzed the collected data by applying SEM method and the l i s r el software. The results show that the hypothesis of the research were confirmed and all effective factors on the CSR brand in the conceptual model were effectual in creating a strong social brand in the banking industry. Furthermore, the brand social identity variable had the most effective impact in creating a social brand. The findings, also indicate that the three brand image, brand reputation, and brand performance were reflective and can be measurement component of the CSR brand in the bank.

The advent of artificial intelligence in recent years has led to many changes in the global arena. Despite technological advances, governments still provide services in traditional ways. To take advantage of artificial intelligence in the public sector, administrators need dramatically to increase the use of AI-based systems. This paper aimed at reviewing the research related to artificial intelligence in the public sector. We use meta analysis for studies on the application of artificial intelligence in the public sector utilizing the PRISMA protocol. In this study, 400 articles from Gail, Science Direct, ProQuest and Web of Science databases were reviewed for the period from 2015 to 2020. After two stages of screening, 29 studies were identified as high and medium quality articles for deeper analysis. We presented a framework on usability of artificial intelligence in the public sector. The results of the study showed that artificial intelligence can be applied in almost all public sectors activities  and governments can use artificial intelligence to provide better services in the public sector by appropriate policy-making and ethical considerations. However, more extensive studies are recommended.

The purpose of this study is to develop a model of dynamic marketing capabilities. We used grounded theory approach to conduct this qualitative research. A semi-structured interview with eight experts was performed to collect data. Data analysis was carried out in three stages of open, axial and selective coding in order to develop the research model. Based on the research findings, the axial category is marketing dynamic capability. Causal conditions include characteristics of industry competitive, individual and human, managerial and organizational and environmental monitoring systems. Contextual conditions include collective culture based on discourse and knowledge, customer relationship management, information technology platforms, and efficient manpower. confounding conditions include the government's macro policy, domestic economic factors, productive factors, developments in international communities, and social and cultural factors. Strategies include forming environmental monitoring teams, idea generation, holding discourse-based meetings, updating monitoring and environmental information systems, market orientation, facilitating knowledge sharing, and strengthening organizational learning processes; Finally, the consequences include sustainability of the business, better identification and understanding of customer needs, rapid reaction to environmental changes, new product development, increasing the quality of products, better adaptation to market conditions and strengthening the export vision.