نشریه مدیریت فردا
پیاپی 70 (بهار 1401)

Public trust in government todays faces serious and increasing challenges which have doubled the necessity of trying to influence its future trend. This study has been done with foresight approach and aims to identify strategic factors affecting the future of public trust in Islamic Republic of Iran on the horizon 2045. This research in terms of nature is descriptive-analytical and methodologically is based on mixed approach (qualitative-quantitative). Therefore, after conducting library studies and literature review and interviews with experts, a list of effective factors of public trust in Islamic Republic of Iran by using Delphi method was found and then these factors were minimized from 58 to 15 items. Then, by using structural analysis and the Cross-Impact Matrix was designed and by forming a panel consisting 11 experts and gathering their opinions about these factors, necessary data were entered into the matrix. By analyzing collected data, the influence of each factor was evaluated in MICMAC software. According to the results of this research, five factors including "combating corruption", "transparency", "not preferring of individual interests on public interest", "realization of social justice", and "honesty and integrity of the authorities" were identified as strategic effective factors on the future of public trust in Islamic Republic of Iran.

The research is to broaden the knowledge about the relationship between management control systems and the organization’s strategies in order to design more effective control systems. Since in the current study, the strategy conceptualization is formed in the organizational capabilities’ level –not in the level of strategic choices- the main purpose of the research is to identify suitable control systems for dynamic capabilities development.

Regarding to the main purpose of the study, positivist paradigm, in general, and the contingent approach, in particular, are used and the cross-sectional survey research strategy is developed to examine the relationship between strategy and control system.

The results showed that in dynamic environments, the relational control systems have a positive relationship with organizational dynamic capabilities, organizational capabilities and organizational performance. Moreover, the dynamic tension resulting from simultaneously and equally diagnostic and interactive usage of control systems in dynamic environments has a significant positive relationship with organizational dynamic capabilities, organizational capabilities and organizational performance. Additionally, control system via dynamic capabilities has an effect on formation and development of organizational capabilities and the system could modify the organizational performance through the processes of dynamic capabilities and organizational capabilities development

Organizations are always seeking competitive advantage in order to compete and to continue to grow. The innovation and diffusion of innovation culture is one of the most important ways to achieve it. In present research, we have attempted to model and explain the direct effect and indirect effects of factors influencing innovation culture, organizational ambidexterity and gaining competitive advantage.

The present study is a developmental and, in terms of approach, a mixture of both qualitative and quantitative. The data gathering tool was interviewed by experts and a questionnaire. Data analysis is a structural equation modeling technique using Spss and Smartpls software. The number of collected questionnaires was 140, which was collected from the managers of the dairy industry of Mazandaran province by stratified random sampling.

The results show that there is a positive and significant effect between the variables of supportive mechanism, leadership, technology, potential absorption capacity, organizational ambidexterity and strategy, on innovation culture. The results also show the positive and significant impact of innovation culture on organizational Ambidexterity, gaining sustainable competitive advantage and implementing innovation. The potential absorption potential has a positive and significant effect on organizational ambidexterity, and also potential absorption capacity through technology and organizational change has a positive and significant effect on organizational Ambidexterity. The organizational change has a positive and significant effect on organizational ambidexterity both directly and through technology.

Strategic alignment of digital marketing activities with the grand corporate strategies is a necessary for new marketing. Increasing development of this type of marketing highlights the necessity for this alignment and synergy. This study aims to identify the factors of e-marketing of commercial organizations that strengthen this type of alignment. The statistical population of this study includes Iranian companies which are active in the field of digital marketing and have received the Enemad. The number of samples was determined via a random sampling method and using the Morgan table as 384 samples. The research data were collected through questionnaires that were provided to managers and e-marketing and planning experts in these companies by e-mail and Google Form. Questionnaire items were designed in two sections: the first one examined the alignment factors in the company, and the second one surveyed the results of its performance through a balanced scorecard. Replied questionnaire analysis was performed using SPSS and Lisrel software. The research method in this study is quantitative and survey. Using the SEM method, a conceptual model for e-marketing alignment and grand strategies of commercial organizations has presented. Performance measurement of organizations that have used alignment factors with the balanced scorecard method in 73% of cases shows better results than other organization.

Despite the interest of prospective managers and researchers, the implementation of green supply chain management in the country's dairy industry has not been satisfactory. The real challenge for the country's managers is to prioritize the implementation of green supply chain management to achieve the best possible advantage in the implementation of green supply chain management in the country's dairy industry. In this paper, the effect of external pressures and internal motivation on the company's performance with respect to the role of acceptance of green supply chain management in the dairy industry. The statistical population of the study is dairy companies in Iran in which 82 managers of the company were analyzed as a sample. The non-probability and available sampling method and data collection tool was a questionnaire. Structural equation modeling and SmartPLS software were used to analyze the data. The research findings show that market pressures and suppliers are effective in accepting green supply chain management in the dairy industry. In addition, it was found that the adoption of green supply chain management in the dairy industry has an impact on environmental, operational and economic performance. However, the effect of controlling pressures on the acceptance of green supply chain management in the dairy industry was not confirmed. The research results highlight the managerial commitment and the key role of suppliers in the successful adoption of green supply chain management

The subject of pricing in the oil market has undergone changes as the market evolves over time. Today, PRA reporting to private institutions that disseminate information, and especially prices in the world oil market, play an important role in determining the price of oil in the physical and paper markets. Concerns over the activities of these institutions have led to the formation of oversight bodies. However, the question remains as to what is the appropriate model for the interaction of price reporting institutions and supervisory bodies in a way that results in a more efficient oil pricing mechanism. The purpose of the present study is to review the theoretical foundations of the activities of price reporting institutions and supervisory institutions, using a data-base theory and using the opinions of experts in global oil markets, to provide a model for the relationship of these actors. Following the implementation of the foundation's data strategy, 60 concepts were constructed, categorized into 7 sub-categories and 4 main ones. At the theoretical coding stage, a conceptual model was developed for the relationship between supervisory bodies and price reporting institutions.

 This study was conducted to identify the dimensions of organizational architecture in the Tax Affairs Organization. The research method was qualitative and its participants were experts and experts in the field of economics and academia who were selected by purposive sampling method. The sample size through theoretical saturation was 17 people. It was an interview measurement tool whose validity and reliability were confirmed by triangulation method and reliability by Kappa Cohen (k = 0.561). Data analysis was performed through open, axial and selective coding. The results showed that the dimensions of organizational architecture in the Tax Affairs Organization are: 1- Dimensions of organizational aspects. 2- Maturity dimension of human resources. 3- The dimension of information technology governance. 4- The dimension of the support of the committed board of directors.

In order to assess the risk of exploration and development of oil and gas fields, which is mentioned as one of the ‎most important determining parameters in the economic development of oil- countries, an expert system using ‎the inference fuzzy system approach was designed. First, the system inputs, which are in fact the characteristics ‎of risk assessment for the exploration and development of oil and gas fields, were extracted. In continuation, ‎the knowledge base of the system, the most important part of which is considered to be in the form of if-then ‎rules and based on the opinions of experts in the upstream part of the oil industry. To do this, the degree of ‎system accuracy is measured in two stages based on expert comments. Based on the Likert scale and presenting ‎a questionnaire to the experts, Student's t-test was performed and out of 48 defined indicators, 42 indicators ‎were selected as the final index. In the next step, the data validation of an oil field in the south of the country ‎was provided to the oil industry experts and they were asked to evaluate the output of the system‏.‏‎ Finally, the ‎opinions of experts were compared with the output of the expert system and based on the criterion of mean ‎square error (MSE) and a small difference between the average opinion of experts and the output of the system, ‎it was determined that the designed expert system has sufficient accuracy and validity for future studies.‎