درخت حوزه‌های تخصصی

The current research was conducted with the aim of providing a model of international strategic business renewal in the country's pharmaceutical industry in a combined manner in two qualitative and quantitative phases. In the first phase, the research data was obtained from in-depth and semi-structured interviews with 18 subject matter experts, including entrepreneurs, managers, and senior experts in the pharmaceutical industry in Tehran province, which was based on purposeful sampling dependent on the selection criteria and until reaching the theoretical saturation of this process continued. The validity of the research data was checked and confirmed by going back to the participants and external auditors. Data analysis was done based on the Strauss and Corbin model in the form of open, axial, and selective coding in the Atlas TI8 software. The results of the research showed that entrepreneurial, organizational, managerial, environmental, marketing, international strategy, lean supply chain, social component, organizational performance, and financial performance components are important in designing the international strategic renewal model of pharmaceutical industry businesses. In the second phase of the research, according to the managers and experts of the Ministry of Privacy, there were 681 elites of the Ministry of Privacy, of which 248 research samples were identified using Morgan's sample size table; The tool for collecting information in this section was a researcher-made questionnaire in a five-point Likert spectrum; In order to estimate the validity of the questionnaire, content validity was used using the CVR method and confirmatory factor analysis; Also, the reliability of the tool was estimated to be higher than 0.7 through Cronbach's alpha. The results showed that causal conditions with (0.39), contextual conditions with (0.55), and intervening conditions with (0.34) have an effect on strategies, and strategies have an effect on outcomes with (0.85).

The aim of present study is to identify the characteristics of human resource management with a strategic thinking approach in the Organization for the Collection and Sale of Proprietary Property in Iran. In terms of aim, the present study is an exploratory study based on semi-structured interviews, and in terms of results, it is developmental. The statistical population of the study included executive experts who were fully familiar with the Organization for the Collection and Sale of Proprietary Property. The sampling method in the qualitative section was snowball sampling. A total number of 15 managers and officials of the Organization for the Collection and Sale of Proprietary Property of Iran, including members of the Board of Directors, consultants and managers, and deputies and heads of departments was selected in this section. The first step involved identifying human resource management indicators with a strategic thinking approach through interviews with experts and qualitative data analysis (thematic analysis). Also, to confirm the extracted themes and check the reliability of the interviews and reach a consensus on the extracted themes, a questionnaire was designed based on the findings of the thematic analysis and completed by experts and fuzzy Delphi analysis was performed. Based on results of research regarding the indicators for human resource management with a strategic thinking approach in the Organization for the Collection and Sale of Proprietary Property, five main indicators, including situational factors, stakeholders’ group, and selection of human resource policy, achievements and long-term results were identified.

The purpose of this study is to make investment decisions with the approach of data envelopment analysis and making decision on selection of optimal stock portfolio employing meta heuristic algorithms for multi-objective functions subject to real-life constraints. The statistical population of this research in capital decision-making and selection of the optimal capital composition is 183 of the selected companies of Tehran Stock Exchange, which were finally 42 companies as justified investment options. After measuring the risk and return of efficient companies, the real limitations of the budget, requirements and expectations of the investor, determination and composition of the investment were formulated as a multi-objective model. For optimal decision, the modified genetic meta heuristic algorithm and MATLAB software with dual operators were used. Elimination of the risk minimization function in sensitivity analysis improved the level of decision return but also led to more risk. Eliminating the maximizing return function improved decision-making risk but also reduced investment return. Elimination of investment requirements and expectations improved returns and increased investment risk, but more companies became involved in optimal investment.