درخت حوزه‌های تخصصی

Purpose: Considering the quantitative growth of university growth and technology centers in the country and the need for solutions to facilitate the success of these companies in global competition, this study identifies the indicators of innovation ecosystem of university growth and technology centers with the knowledge-based economy approach with data foundation approach. Methodology: This research was based on empirical philosophy and has been done with a deductive-inductive approach. From the perspective of the goal, it was a fundamental research that has been done with a mixed research method. The study population of this study includes entrepreneurship professors and managers who have work experience in knowledge-based companies. Sampling was done by non-probabilistic and purposeful sampling method. Data collection tools are interviews and questionnaires. In the analysis of the interviews, the data theory of the foundation (selective, open and pivotal) was used. Also, the identified indicators have been validated by fuzzy Delphi method. Finally, the final model of the research is presented. Research data analysis was performed in the qualitative phase with MAXQDA software and in the quantitative phase with Matlab software. Findings: To achieve the objectives of the research, by analyzing interviews with experts, a set of practical indicators of the innovation ecosystem were identified. In the open coding stage, 517 codes were identified, which with the observed observations, 9 main categories and 41 sub-categories were obtained. Conclusion: Based on the achievements of this study, issues such as organizational management, growth center rules and regulations, innovation ecosystem infrastructure, knowledge ecosystem, innovation ecosystem, ecosystem capital, economic ecosystem, innovation ecosystem challenges and key players are key elements in the success of these universities in knowledge-based economy was considered. These cases also interact with each other in 41 minor areas.

Purpose: One of the main organizational planning is human resource planning. The purpose of this study was to design a model for the implementation of human resource strategies in the field of health. Methodology: The combined research method and research design were also of the type of mixed exploratory research design. In the qualitative section, using the method of "samples contain rich information" with 20 heads of medical universities and senior managers of the Ministry of Health and Medical Education, using the Delphi method and using semi-structured questionnaires; Was interviewed. In the quantitative part of the research, a researcher-made questionnaire with multi-stage relative stratified sampling method was distributed among 334 senior and middle managers of the country's medical universities and the data were used by exploratory and confirmatory factor analysis. Analyzed with SPSS and AMOS software. Findings: The results indicate that "human resource strategies" have six dimensions: 1. Human resource provision, 2. Training, 3. Performance evaluation, 4. Development and improvement, 5. Service reward and 6. Participation And "strategy implementation" has three dimensions and nine components as described: a- Structural dimension (1. structure of the implementing organization, 2. Capacities, 3. Resources), b- Environmental dimension (4. Macro environment, 5. Intermediate environment 6. Execution environment) and c- Behavioral dimension (7. Performers 'behavior, 8. Target community behavior and 9. Developers' behavior). The results of the quantitative section showed that the impact of all dimensions of human resource strategies on the structural, environmental and behavioral dimensions of strategy implementation was confirmed. Conclusion: Special attention to human resources, especially in organizations providing health services and health in the community as the most vital element of organizational success and creating a sustainable competitive advantage is always important in management.

In this study, the issue of using Instagram social network by different groups of Iranian women and their interests and desires in publication of photos is investigated. The purpose of the study is to identify the common aspects and differences in women’s lives reflected in their self-expression efforts based on their social characteristics. Therefore, the women were classified into eight groups based on the elements affecting the way they show their daily lives, such as education level, occupation and marital status. Then, qualitative method, including virtual ethnographic techniques, content analysis and online interviews, was used. Photos posted on Instagram by 32 users were studied and analyzed, and these users were interviewed. Questions were asked about their tendency towards posting photos of their daily lives on Instagram via direct messages. The conceptual framework of the study included Bourdieu’s theory of ‘distinction’ and Baudrillard’s concept of ‘system of objects’. Results showed that women in each group select specific approaches to the publication of photos based on their social conditions. In the present article, these differences are discussed in detail. The significance of this research lies in the<span class="tlid-translation"> possibility of understanding different aspects of women’s everyday life and their individual identity through self-reports in the new media as opposed to the traditional media which only presents a standardized type of identification. Since studying women’s efforts in presenting themselves on social media has been neglected in studies conducted on social networks in Iran, this study leads to a better understanding of Iranian women’s diverse identities.

Internet Addiction Among Cyberkids in China: Risk Factors and Intervention Strategies by Qiaolei Jiang, 2019, Singapore: Springer, 199 pp., €84.99(h/c), ISBN 978-981-13-3791-8