فصلنامه علوم مدیریت ایران
پیاپی 66 (تابستان 1401)

Governments formulate the entrepreneurship policies to affect their societies economic development and public welfare. The purpose of this study is to design an entrepreneurship policy model and validate it. Accordingly, the public sector in different countries seeks to consider and formulate relative policies. The purpose of this article is to design a model of entrepreneurial policies and validate the factor structure of the model. This research is basic from the audience dimension, and descriptive from the purpose dimension. The research approach is quantitative and data collection has done through sample survey. After the initial evaluation of the questions by experts and calculating the CVR coefficient, the questionnaire was gathered from 240 managers and experts related to the field of entrepreneurship and development of knowledge-based companies in the Ministries of cooperatives, labor and social welfare, industry, mine, and trade, and economic affairs and finance, Science, Research and Technology. Data were analyzed using AMOS24 and SPSS26 software. Based on the findings, various indicators of the structural pattern of the research, were in the acceptable range and the proposed conceptual model, are valid. Seven components (regulations, market access, access to technology, promotion, cultural activities, support, financial support, and nonfinancial support to target groups) were extracted using confirmatory factor analysis, and 37 indicators were identified.

Over the past three decades, the supply chain of leading industries has become increasingly manifold. Along with this complexity, there has been a significant increase in related research. The existence of a formal ontology is one of the necessities of development in a area of knowledge. This terminological structure in the ideal situation should be based on a semantic model of the key concepts of this area of knowledge. Despite, the development of literature on supply chain risk management, there is no consensus among researchers on the terms, concepts and definitions of the field and researchers have used their own definitions to refer to the key concepts of the field. The purpose of this study is to develop a conceptual model based on ontology for supply chain risk management. In this study, the critical review method was used to achieve a conceptual model and model-based ontology for supply chain risk management. Based on a systematicl review of 60 related articles, four conceptual frameworks : "effect of risk factors on supply chain", "supply chain resilience", "severe or serious supply chain risk" and "supply chain risk management" were developed and based on these frameworks, analytical definitions for 47 related concepts were presented in the form of a thematic ontology. The ontology presented in this research, can provide a platform for communication and cooperation of researchers, publication of research results and indexing of literature related to supply chain risk management.

In recent years, the importance of social responsibility in hotel industry has been considered by researchers and activists all over the world and several studies have been conducted on this subject. Although researchers have studied the dimensions and effects of social responsibility in various researches, but the factors originating the industry’s social responsibility have not been demonstrated in a model so far. In this study, we used a systematic review  in order to extract related researches from indexing databases.  Then, we went on to analyze data through open coding applying Maxqda software. In next step we used meta-synthesis approach to identify the causal, intervening and contextual conditions and strategies of implementing social responsibility in hotels, such as improving the level of employee responsibility, green marketing, green management, saving, social participation.. Beside these factors, improving stakeholder satisfaction, improving hotel performance and increasing the level of social welfare, branding and sustainability of the hotel were recognized as the consequences of implementing these strategies.

Organizational mentoring is one of the basic concepts of management, which recently has been noticed both scientifically and practically. The purpose of this study is to design and validate an organizational mentoring model in higher education system of Iran with a mixed method approach. This study is a cross-sectional research from time dimension. We used a sample survey questionnaire for data collection. In the first part of the research, we applied a meta synthesis approach to identify the main and sub-components of the research. In order to present the model, the structural-interpretive modeling method and MICMAC software were used. We used   the partial least squares technique with Smart PLS software to validate the model. The statistical population in model designing part composed of 11 experts and professors who were selected via an improbable method   and for model validation, 384 experts were randomly selected from the country’s higher education staff. The results show that the organizational mentoring system in higher education as the underlying factor of the model affects the competency of mentors. The competence of mentors affects their activities, executive actions and the quality of relationships between mentor and disciple. These factors also influence the mentoring culture of the higher education system and ultimately promote mentoring support and behaviors.

This paper is aimed at analyzing and validating the antecedent factors of green innovation based on structural equation modeling in industrial companies. The research is positivist in terms of philosophical assumptions, quantitative in terms of approach, cross-sectional in terms of time and applied from audience dimension. We used a sample survey and standard questionnaire for data collection The research model’s validity was based on construct validity (divergent and convergent). We used the reliability by the Cronbach's alpha, composite and joint reliability. The content validity was also checked and confirmed by a panel of experts and the completion of the CVI and CVR forms. The research statistical population were managers and experts having more than 15 years of work experience in industrial companies at Tehran province. the sample size was 175 people using the G-POWER specialized software at the error level of 0.1 and the power of the test is 0.85% by random sampling method. In order to test research hypotheses and analyze data, structural equation modeling was used with partial least squares approach and using Smart PLS 3 software. The results show the positive effect of green human resources and environmental performance on green innovation in industrial companies. The results of research, also show the effective role of moderating variable of green education between the green human resources and environmental performance on green innovation.

Business clusters play a central role in the development of countries' regions. This occurs because,the innovation and entrepreneurship for new enterprises within the clusters are stablished more easily. In spite of the fact that many of the member companies of the cluster are small and medium in size, the clusters contribute a lot to economic indicators such as employment, production and exports. Therefore, the policies related to business clusters should be formulated in such a way that their implementation, bring about prosperity in produsing domestic products. Hence, the evaluation of industrial policies of business clusters, will show how much success they have achieved so far. The purpose of this research is to identify the main components and indicators shaping the evaluation model of industrial policies aiming at to get as far as production boom in the cluster of small and medium businesses. We used in-depth and semi-structured interviews with fifteen academics and executive experts related to the industry. We analyzed the responces using a thematic analysis technic . The results show that the use of an independent policy evaluation system, the creation of a monitoring and accountability system for policy implementation results, and the need of access to the required statistics and information are among the most important requirements for the evaluation of industrial policies.