نشریه پژوهش های پیشرفت: سیستم ها و راهبردها
پیاپی 3 (پاییز 1399)

Organizational neuroleadership is a new leadership approach that organizations can resort to foster innovative behaviors. This study is aimed at investigating the effect of organizational neuroleadership on the innovative system in knowledge-based companies. Moreover, the role of knowledge sharing as a mediator is also assessed. This applied research follows a descriptive-correlational method. The statistical population includes knowledge-based companies located in science and technology parks in Ilam. Data collection tool contained a standard questionnaire whose validity was confirmed by the experts, and its reliability was confirmed by combined reliability method as well as Cronbach's alpha. Testing the conceptual model and the research hypotheses was performed by structural equation modeling through Smart PLS software. The results indicated that leadership based on organizational neuroscience affects the innovative system significantly, both directly and indirectly, by knowledge sharing. Findings also revealed that knowledge sharing has a significant effect on the innovative system.

Due to the development of the concept of supply chain management in various industries, the evaluation of supply chain performance is being considered a lot. Various models have been proposed to evaluate the flow of organizational processes. The purpose of this study is to ease the complexity of supply chain performance modeling. Dematel method is used to achieve the goals. Reviewing the literature of supply chain performance evaluation, the researchers identified six factors. The special Dematel questionnaire was used for pare comparison of the factors. Using snowball sampling method, a sample of 30 experts were selected, and the direct relationship between the factors affecting the supply chain performance was evaluated by them. Having designed the final model of Dematel method, the cause and effect factors were separated. Four elements including outcomes and results, processes, growth and learning, infrastructure and inputs, were selected as the causes, and two element including finance and stakeholder satisfaction were selected as the effects. Based on the findings of this study, the supply chain evaluation function can easily affect the optimization of influential factors in the model. As a result, it is suggested that decision makers and managers pay attention to cause and effect factors, especially in the situations of limited resource, for improving the supply chain performance evaluation process.</em>

Firewall is known as one of the most widely used security products in computer network security. During its lifespan, this technology has faced a lot of changes. These changes have occurred mostly due to the emergence of new phenomena in network threats. This research is an attempt to introduce the technologies in the creation of firewalls. Accordingly, this research is intended to identify and prioritize factors affecting the success of the integrated threat management system. This is a mixed research, a combination of quantitative and qualitative reseaerch. Data collection tool in the qualitative section of the research includes semi-structured interviews, and in the quantitative section encompasses a questionnaire. In the qualitative section of the research, the data and information obtained from the interviews were used to identify the factors, and the components and indicators of the factors affecting the success of the integrated threat management system were identified. Furthermore, using Expert Choice and SPSS software, the factors affecting the success of the integrated threat management system were identified and ranked in the quantitative part. In other words, the factors affecting success were identified by the use of Fuzzy Hierarchical Analysis, and the factors affecting success were ranked by the use of Fuzzy TOPSIS method. The statistical population of the study contains the employees of Aminpardazan Kavir Company. This Company contains six smaller companies producing integrated local threat management system approved by the Information Technology Organization. Each company contains 10 specialized managers, senior experts and specialists. The questionnaires were proposed to the employees online. 50 of the 60 managers, senior experts and specialists at the companies responded the questions. The research was conducted in the spring and summer of 2018. The results indicated that individual, functional, organizational, and environmental factors were effective on the success of the integrated threat management system using Fuzzy hierarchical analysis. The ranking of these factors through the Fuzzy TOPSIS method revealed that individual factors occupy the highest ranks, and environmental factors are placed at the lowest ranks.

This research is an attempt to design a model for the stock behavior system in the stock market using the dynamic approach of the stock market for predicting possible behaviors based on the model and its results. The patterns of predicting stock price fluctuations of Mobarakeh Steel Company will be assessed in four sections of Tehran Stock Exchange and Mobarakeh Steel Stock Market and its effective variables -production of hot plate, cold plate, galvanized sheet, and variables affecting the production and pricing of these products. The results revealed that production costs, world price, stock attractiveness and P/E ratio are very effective in stock price behavior. On the other hand, the same 25% change in both, the reaction of stock price response to changes in world prices is higher than production costs. The behavioral response of stock prices to changes in world prices is about 34%, while the production cost is about 9%. A 30% drop in world prices and a 60% increase in production costs (due to sanctions and rising exchange rates), the pattern of fluctuations in stock behavior will change and fluctuate, and prices will fall down significantly. Given the greater reaction of stock prices to lower global prices than the rising production costs, it can be predicted that the reaction of the market and shareholders to negative news is more than that of positive news. The results of this study provide a model of stock price fluctuations for capital market decision makers, and offer useful tools for decision-making of industry stakeholders.

This research in aimed at an investigation of the relationship between organizational learning and company performance through the mediating role of strategic human resource management in the Department of Social Security Medical Records of Alborz. Data collection was performed by reviewing the theoretical foundations of literature regarding the explanation of the research subject through library method and documentary studies. For the collection of qualitative data, Kamal Zuhair and Dugan Basar (2016) questionnaire was employed. The statistical population of the study contains all 250 managers and experts of the company. The sample size according to the Morgan table contains 150 people. Smart-PLS statistical software was employed to test the hypotheses. The results indicated that organizational learning has a positive and significant relationship with strategic human resource management. Moreover, organizational learning and strategic human resource management are positively and significantly related to company performance. Finally, organizational learning showed a positive and significant relationship with company performance through mediating role of strategic human resource management.

Since the designing of the first maturity models by Crosby and Nolan in the late 1970s, various maturity models have been developed in a wide range of applied fields such as information technology, knowledge management, human capital management, and so on. However, few methods and theories have been presented on how to design maturity models, and their structure, elements and architecture. Many of the writers have notified the deficiency of a comprehensive and generally accepted method. A review of the present maturity models reveal that most of them, disregarding the methodological foundations of maturity model designing, have only imitated the structure of Crosby and Nolan proposed model.  Researchers who intend to develop maturity models bewildered on how many types of maturation models they can have, what benefits and limitations each of them can have, what the structure and elements of the maturity model is, and what components should be considered in its designing. Since providing an acceptable and comprehensive approach to the development of the maturity model require a deeper understanding of the current approaches and their assumptions and limitations, after giving an introduction to the concept of maturity models using the qualitative interpretive meta-analysis, the researchers identified 14 different and available approaches on how to design a model or maturity network. Based on the principles of designing these models, and according to their main themes, a deeper understanding of the most important components involved in the design of the maturity model was presented. To this end, the most important elements and themes of these 14 approaches are reported by “text to text” technique, according to the time precedence of each of them.