فصلنامه پژوهش های مدیریت راهبردی
پیاپی 87 (زمستان 1401)

The rapid spread of the Internet, the diversity of emerging media, and the easy access to cyberspace are among the factors that show the importance and necessity of media literacy in cyberspace. Students also need media literacy as a part of society who are connected with virtual space. Therefore, this study examines enhancing the level of media literacy of students in cyberspace. Identification and prioritization of these components has been done based on the pattern of social marketing mix. The strategy of this research is an Exploratory Sequential Mixed Method. First thematic analysis method has been used to analyze qualitative data and in the second stage, the importance-performance analysis has been used to quantitatively prioritize those components. The statistical population consisted of experts, professors and experts in the field of media and cyberspace literacy, of whom14were purposefully selected for interview. In the first stage, 313 basic themes, 37 organizing themes and 8global themes were counted and then a network of themes related to the research question was drawn. In the second stage, the organizing themes were considered for the importance-performance analysis of a questionnaire. According to the findings of this research, "explaining the necessity of analyzing media messages for the audience", "considering the student's profile in the transmission of the message", "centered audience", "reforms of information technology policies" and "reforms of educational policies" as four priority components in the field of executive activities regarding the promotion of virtual space literacy of students was counted.

Production strategy is one of the most important types of applied strategy that plays a role in shaping the necessary competencies for competition among organizations. In this research, according to the background of the research and interviews with the experts of the special tactical vehicle industry, the competitive priorities and strategic measures of production in the mentioned industry were identified and the conceptual model of the research was formed. Then by finding the strategic production actions that has been affected by competitive priorities, we discussed their effects on export performance. Analysis of research data was done using inferential statistics such as correlation coefficient and multiple linear regressions; First, by using Kendall's correlation coefficient, the relationship of each of the four competitive priorities of quality, flexibility, cost reduction, and delivery capability was investigated with each of the twenty-seven selected strategic measures and significant relationships were identified. Then we analyzed the effect of the mentioned actions that has been affected by competitive priorities on the performance related to priorities in order to know its extent. On the other hand, we answered the question that to what extent, the mentioned combination of measures can improve the export performance of the studied units. The results showed that the specified set of measures can improve performance by 74.6% of quality, 9.2% of cost reduction, 61.1% of flexibility and 49.9% of delivery capability. Also, the set of strategic production measures can affect profitability by 44.5% at most. So, it can be concluded that other factors such as marketing, effective and appropriate communication, etc. are also effective on profitability. At the end, the limitations of the research were mentioned and suggestions for future research were presented.

Strategic foresight is the central core of many strategic management theories and increases the possibility of success of strategies in the four environments of volatility, uncertainty, complexity and ambiguity (VUCA). This study hinges on the complexity of mental representation. According to research literature, the degree of complexity of representation is contingent due to different contexts but it has not been investigated before. In this study, we extend the past literature to determine the patterns governing the relationship between representational complexity and strategic foresight in four different contexts (VUCA) using the Raugh set theory.However, the theoretical gap in the research literature is focused on what level of complexity of representation in what context of the four environments creates an acceptable strategic foresight. we have used the Raugh set theory to discover the patterns of the representational complexity achieving desired strategic foresight in different VUCA environments. The input of Raugh set theory includes two general types of decision and conditional variables. The conditional variables include "representational complexity" and "environmental context," and the decision variable also encloses "strategic foresight." The results show that when the future is difficult to predict (environments with uncertainty and ambiguity), simple and less complex representations create more useful strategic foresight. At the same time, when it is easy to predict the results of an action (complex and volatile environments), whether understanding the current situation is simple or intricate, using complex representations is more effective

Complex technologies require the existence of research and development units with high capabilities. This need is very vital in industries that do not have the possibility to transfer technology under the prevailing conditions. The purpose of this research is to identify effective and key components in improving the level of research and development capability in one of the strategic industries with complex technology. This research is applied in terms of purpose and in terms of qualitative research method, which was carried out with the foundation's data theory strategy. The statistical population is the experts of design and research and development units of the nuclear industry. In order to analyze and identify components and dimensions, the exploratory analysis and "Atlas.ti" software have been used. Based on the results analysis, 332 open codes, 28 sub-categories and 6 main categories were identified and extracted. According to the findings of the research, dynamic organization has the highest emphasis from the interviewees and, in order, reliable management, leading technology governance, knowledge-based mediating institutions, organizational social capital, and local product commercialization are among the other components identified in order to improve research capability and development in studied industry. Better understanding and recognition of the enabling components and criteria of research and development and knowing the importance of each of them in relation to each other, while developing theoretical concepts in this field, creates this possibility for research and development managers and influencers in decision making to make more favorable decisions regarding the proper allocation of resources and increase the possibility of success in obtaining technology.

One of the important issues that can be seen in most resilience methodologies is the relatively weak integration of resilience criteria in terms of physical infrastructure with social and economic systems. Based on this, the purpose of this article was to present a causal model of improving community resilience with the approach of theme analysis and structural-interpretive modeling in Tabriz metropolis. This research is applied-developmental from the point of view of the goal and it is considered to be exploratory from the point of view of the method of doing the work. The statistical population of this research is divided into two groups, including the group of experts and all the citizens of Tabriz city. Based on theoretical saturation, 12 experts have been used. Also, due to the unlimited statistical population of citizens, the number of samples has been determined based on the unlimited population of 384 people. To collect data, two questionnaires were used, which were distributed among the members of the statistical sample of the research after determining the validity and reliability. In order to analyze the data, theme analysis, confirmatory factor analysis and structural-interpretive modeling were used. The findings of the research in the theme analysis section show that the components of the causal model of improving community resilience in Tabriz metropolis are classified into eight main themes and thirty-three sub-themes. Also, the model fit values ​​of the confirmatory models and their factor loadings indicate the appropriateness of sub-themes classification based on the main themes and the confirmation of the main themes based on the sample data. The results of structural-interpretive modeling also show that economic factors are the most influential component of the model of resilience promotion and learning capacity, the most influential component of the model of resilience promotion in Tabriz metropolis.

The purpose of this paper is to provide data quality model of a university portal with an integrated approach of system dynamics and quality function deployment. The present study is applied in terms of descriptive – survey method research. Following paper aims to provide a model and identify the concept and its dimensions for an academic portal and through using library study methods as well as field methods such as questionnaires, content analysis methods and Fuzzy Delphi method simultaneously, collect the voices of different users regarding data quality and finally, with the formation of four quality house matrices, it led to design requirements. Based on Quality Deployment Function analysis, found out that Extensible Markup Language (XML) could be more proper programming language to achieve flexibility as one of the most important engineering characteristics to fulfill user’s requirements. The important ambiguous issue in this context was how the internal communication between the requirements was; As a result of simulating these relationships, it was found that the way of communication overshadows the whole results. At the time of planning in the field of data quality and presenting a model in this regard, it should be considered that the factors may have conflicting relationships and unilaterally addressing a requirement or characteristic without considering its relationship with other cases could have the opposite result and efforts related to it will be fruitless.