نشریه آینده پژوهی مدیریت
سال سی و سوم شماره 3 (پیاپی 130، پاییز 1401)

Despite the great importance of branding on the growth and development of businesses in the national economy, and its development implications for various industries in the present and future, the statistical data indicate the low efficiency of the road transport industry of this huge scientific capacity, commensurate with the capabilities. The aim of the present study is to explain the consequential factors of the branding model in the freight transportation industry in Iran for future research. This research has an exploratory-applied nature; With interpretive-structural paradigm; a mixed approach of qualitative data-based methods and quantitative method of structural equations is a futuristic approach to the analysis of processes; Using Max QD software and a small phase of structural equations using LISREL software, its statistical population is a combination of elites and experts in the field of freight transport, business management science and the science of the future of research. They were identified and selected by snowball method. Based on the findings of this study, the most important outcome factors of the branding model of businesses in the freight transport industry are: increasing innovation, providing added value, reducing complexity, compensating for price pressure, reducing road traffic, reducing risk, return on investment, increasing satisfaction Customers, differentiation, quantitative and qualitative growth of services, standardization of services, reduction of fuel consumption and, consequently, recognizing these factors and paying attention to them, help managers in strategic planning for the growth and development of businesses related to the freight transport industry and favorable future. .

Due to the increase in the volume of data and information in recent years, the issue of choosing the most appropriate feature for decision making has become very important. Classic attribute selection methods cannot work well on big data. Because feature selection is a complex problem, it seems appropriate to use meta-heuristic algorithms to solve this problem. In this paper, a new meta-heuristic algorithm inspired by nomadic migration to solve the feature selection problem is presented. This algorithm is named in honor of the Qashqai tribe. In this hybrid algorithm, the proportional function was designed based on the feature selection algorithm and based on minimizing the number of features and the amount of data error using neural network results. Then the Qashqai meta-heuristic algorithm was implemented on this fitness function and the results were compared with the well-known meta-heuristic algorithms of genetics and particle swarm. The results of the hypothesis test showed that the Qashqai optimization algorithm to solve the feature selection problem by the genetic algorithm and particle swarm is not defeated and in terms of convergence to the optimal solution works well.

This article seeks to identify and enumerate the effective infrastructural factors in the future management and development of Iran's clothing industry. Qualitatively-quantitatively located; In this way, in the first stage, using the qualitative method"Data Foundation"; With the help of Mexico City software, the underlying factors of the Iranian clothing industry were identified and then evaluated by quantitative interpretive structural modeling using LISREL software. In terms of time horizonData collection is one-section - from June 1398 to October 1399 - and the time horizon of the analysis is 5 years until 1404 solar. Data collection was used by both documentary methods (with fish-taking tools) and field (interview). The statistical population of this study was 19 elites, experts and related scientific and practical managers. The snowball continued until it reached theoretical saturation.Finally, the three components and 22 sub-components were prioritized, respectively: a) Reform of existing structures B) Completing the clothing industry chain: C) Promoting behavioral patterns: Keywords: Infrastructure, Garment industry, Textile, Future management, Development

Because policy prioritization is limited by existing capacities. Therefore, it is necessary to conduct a comprehensive study that examines the role of psychological variables in driving behavior.

This research aims to use new research methods, under the title of meta-analysis, to analyze and combine the results of research in the field of driving behavior and psychological characteristics in order to provide a roadmap for the prevention of traffic accidents.

The statistical population of this study is the research on driving behavior between the years 89 to 99. Exact information on their number was not available and 25 studies on driving behavior were selected. The research method of this research is meta-analysis method.

All these researches were analyzed in terms of effect size and Pearson r index was used to calculate the effect size. Analysis of the results of the research using a random effects model showed that the total effect size of the psychological variables affecting driving behavior was 0.32. Also, the heterogeneity of the results using Q and I2 indices showed that there is no significant difference between the size of the effects obtained in different studies.

It is suggested that in order to prevent traffic accidents, special attention should be paid to the psychological characteristics of drivers and to provide a driving competency along with written tests and driving skills, a tool should be used to assess the psychological characteristics of drivers. Develop scientific programs to improve the psychological characteristics of high-risk drivers.

This research is done to present the academic entrepreneurship evaluation model . The Descriptive research method is operational and through medley manner. Data of qualitative part were collected according to the documentary approach and a semi-structured interview with 20 professionals. These people have been chosen through purposive sampling style to theoretically saturate the information. The details were analyzed, coded in MAXQDA and based on the preliminary indicates which were identified, the form with 5 dimensions,32 components and 66 indicators was designed. In the quantitative part, a total of 148 people were sampled by simple random sampling among faculty members in the Azad University. The data of this part were validated by the method of structural equations based on partial least squares using the smart-PLS. According to the figures, evaluation of university entrepreneurship (with structural validity of 0.90) includes five components of evaluation of academic entrepreneurship stimuli (12 indicators,0.68), enables (10 indicators,0.83), third flow activities (28 indicates,0.93), effects internal (6 indicators,0.81) and external influences (10 indictors,0.88) that each of the components explains with 22,21,26,24 and 23% changes in the structure of academic entrepreneurship evaluation, respectively. The value of the SRMR fit index of the saturation model is 0.085. This model with presenting the view of actors and university entrepreneurship components and their key indicators creates an optimal understanding of measuring the academic entrepreneurship and its components which can be the basis of comparison of universities and can also be as a criterion for decision-making and selection of strategic of future universities.

The quality of governance plays an important role in the quality of the business environment. Therefore, this study was conducted with the aim of designing a model of business ease governance within the framework of the law of the Sixth Economic, Social and Cultural Development Plan of the country. The research is applied in terms of purpose and survey in terms of data collection and has a quantitative approach. The study population is the business system of the country and 15 qualified experts were selected to form an expert panel. In the quantitative part and in order to test the model, Abbas abad industrial town with 40,000 people was considered as a statistical population and 380 people were selected as a statistical sample according to Morgan table using stratified random sampling method. The data collection method is field and the tool is a questionnaire. The validity of the questionnaires was confirmed by the opinions of professors and experts and the reliability was confirmed by Cronbach's alpha (0.76). After extracting the dimensions and components from the theoretical foundations, theoretical saturation was achieved using the fuzzy Delphi technique and fuzzy inference was used to achieve the desired combination of components. The results showed that in governance, the component of single exchange rate and foreign exchange market stability and coverage of fluctuations; In contractual affairs, the component of domestic and foreign investment and in partnership affairs, the component of familiarity with laws are of the most important importance in the desired combination.