Maryam Hemmati, Abdolrahim Navehebrahim, Hassanreza Zeinabadi, Hossein Abbasian,
Volume 8, Issue 4 (1-2017)
Abstract
Introduction: Institutes of Applied Science &Technology and other related centers in Red Crescent Society should be prepared to deal with the effective uncertainties for disasters in the country; therefore, they have to set a pattern for development. However, this article aims to present a model of development.
Methods: This research was a descriptive and applied; in the qualitative section, 24 elites were selected and interviewed from centers of applied-science, foresight and higher education development by using purposeful sampling. Interviews were implemented and coded and primary codes of interviews were mainly delivered during two-step Delphi. However, initial development pattern obtained by interviews. In the quantitative section, an 84-item questionnaire was provided. Cronbach's alpha of all components was above 0/7. The statistical population included heads of applied-science centers, directors of departments, faculty members, visiting professors of institute (2071 persons). About 325 people were selected based on Morgan table by stratified sampling. The data were analyzed using confirmatory factor analysis (CFA) method and Lisrel.
Finding: standard factor load to measure the power of the relationship between factors; applied education and research, employment and entrepreneurship, planning with foresight approach, Spatial Planning, finance, and budget, as well as the appropriateness of infrastructures with items in all cases was larger than 0.3, and statistics at a confidence level of 5% was more than 1.96.
Conclusion: According to the results, these six components must be prioritized than others such as applied education and research, employment and entrepreneurship, planning with foresight approach, land use logistics, financial and budget discussions, and adaptation of capital development in order to provide an optimal model for development in Iran Helal Institute of Applied Science & Technology and other related centers in Red Crescent Society.
Mojtaba Akbari, Hossein Didehkhani , Samereh Shojaei, Ahmad Mehrabian,
Volume 13, Issue 1 (3-2021)
Abstract
INTRODUCTION: Relief organizations, especially the Red Crescent, lack any specific entrepreneurial strategy and program for production, identification, and distribution of relief supplies. These organizations mainly focus on the preparation and distribution of supplies in times of crisis. In this regard, the present study aimed to design an entrepreneurial supply chain model with an emphasis on technology in 2020 in Iran.
METHODS: The present study was conducted based on a qualitative and quantitative design. In the first phase, some indicators were obtained by observing the current situation and interviewing 30 experts. Following that, the final model was achieved by considering all indicators and categorizing the topics. In the Delphi process, experts' interviews and theoretical consensus suggested some hypotheses. In other words, in the second phase, structural equation modeling was used to finalize the model. In the next stage, the final questionnaire was provided to 186 Red Crescent employees.
FINDINGS: After the analysis and extraction of the criteria from the interviews, components of the model were retrieved, and two questionnaires were designed. The first questionnaire was about supply chain management encompassing four main components of customer integrity, supplier integrity, internal integrity, and innovative orientation. The second questionnaire was related to technology, including seven components: personal characteristics, attitudinal factors, educational factors, technical factors, economic factors, environmental factors, as well as human and managerial factors. Considering the KMO value (˃0.7) and the significant value of the Bartlett Sphericity test, it can be concluded that the data are suitable for factor analysis. The model fit values all exceeded 0.9, indicating that the model has a “good fit. The path coefficients were significant for seven relationships at the level of 0.05.
CONCLUSION: As evidenced by the obtained results, the supply chain in disasters requires experts' comprehensive approach and innovative perspectives. The tendency of countries to take innovative measures in disasters requires macro-policies at the national and regional levels. Therefore, all dimensions and aspects of the entrepreneurial supply chain in disasters must be considered in order to attain the final goal which is effective and efficient disaster management.
