نشریه مدیریت توسعه و تحول
پیاپی 58 (پاییز 1403)

The growth of employees, as a key factor in improving organizational performance, has a central role in the activities of police officers and their correct role in assigned missions. Therefore, the purpose of this research is to design a model of employee growth in the level of people's satisfaction in the executive units of the General Police Command of the Islamic Republic of Iran (Faraja).In this regard, To achieve the goals of this research, a descriptive-survey method has been used. For this purpose, by reviewing the literature of the growth field and forming an elite panel of experts, the basic components affecting organizational growth and its effect on people's satisfaction have been extracted and validated.Then, through questionnaire design and research data collection with a sample size of 270 people, the conceptual model of the research was evaluated and confirmed. Questionnaires after being verified by experts were distributed among 270 clients to police departments. Finally, the factor load of the effect of police growth on internal and external organizational factors that are part of people's satisfaction by considering the mediating variable of police characteristics was higher than 0.6, and as a result, it was found that police growth has an effect on people's satisfaction by considering the mediating variable of police characteristics

Nowadays, selecting suitable outsourcing companies is one of the strategic issues among companies that are somehow dependent on them to provide the required services. The aim of the present research is to select project management outsourcing companies in the oil and gas industry in Iran. To achieve this goal, a comprehensive review of theoretical foundations and research background was conducted. Initially, the key dimensions and components of project management outsourcing were identified using fuzzy screening and survey techniques with the input of 30 industry experts. Subsequently, the best-worst method was employed to prioritize and weigh the key dimensions and components through expert surveys and Linguo software version 18. Using fuzzy VIKOR technique, the candidate companies for outsourcing project management in the subsidiaries of the oil and gas industry were then ranked. The results of fuzzy screening showed a reduction from 28 to 20 project management outsourcing components, which were further validated and finalized through formal content analysis. The weighting results using the best-worst method revealed that the strategic dimension ranked first, while technological, financial, outsourcing partner selection, and organizational dimensions secured the second to fifth positions, respectively. According to the VIKOR fuzzy calculations, among the examined companies, Company B obtained the first rank, and Companies A and C secured the second and third positions, respectively, in terms of prioritizing outsourcing project management in the oil and gas industry.

The issue of scheduling flow shop is always an important issue in all industries and factories, which undergoes fundamental changes with the emergence of different paradigms. This article aimed to analyze the problem of scheduling and determining the sequence of tasks in production systems with flow shop according to the components of the industry4.0. For this purpose, a data-driven model and its integration with meta-heuristic hybrid algorithms are presented to solve the problem. In the first step the problem model is designed and to deal with uncertainty the data-driven robust optimization approach has been used for the first time in flow shop problems. The important parameters of the model were estimated using SARIMA and SVR algorithms, and then the problem model was solved using hybrid algorithms, and the findings showed that LP-GA-SA algorithm has the best performance. The main innovation of this article is to present a data-driven optimization approach and use the SVR algorithm in parameter estimation and investigate the impact of industry4.0 on flow shop optimization. The findings show that the use of robotics and AI from Industry 4.0 in the flow shop will improve the execution time and costs in the long run. The two main issues that Industry 4.0 directly affects the workshop flow are the learning coefficient and the deterioration rate. The increase in the learning coefficient that is obtained due to the use of Industry 4.0 technologies improves all the target functions. It also minimizes the deterioration effect, which again improves the target functions.

 The research has been carried out with the title of providing a model for assessing the competence of professional managers in government agencies using a descriptive-survey method. The purpose of the research is to identify the effective components in measuring the competence of professional managers in government agencies. The statistical population of the research includes managers of Iranian government agencies. The sample size is based on a relative stratified method from among the staff managers and operational managers of social security and welfare organizations and the Imam Khomeini Relief Committee institution. Through Cochran, there were 384 people and a questionnaire was used to collect information, validity measurement was based on the opinion of experts, and Cronbach's alpha was used to measure reliability, and data analysis was done using spss software, and Colmogrove test was used for inferential analysis of data. Smirnoff was used to determine the normality of the data and independent t-test and one-way analysis of variance were used. Finally, according to the obtained results, the individual knowledge of managers was determined with 0.803, the individual characteristics of managers with 0.604, and the managerial values of managers. with 0.600 and the personal skill of managers with 0.511 respectively, the first to fourth priorities have been effective in measuring the competence of professional managers in the country's government institutions.

The current research was done with the aim of presenting a digital marketing model based on electronic advertising. The method used in the research is qualitative and based on the strategy of database theory. In-depth interview tool was used to collect data. The target community of academic experts, managers and senior experts in the fields of tourism participated, and by using purposeful sampling after 15 in-depth interviews, theoretical saturation was achieved. A selection of 31 general categories in a paradigmatic format including causal, contextual, intervening conditions, central categories, strategies and consequences has been selected. The results showed that digital marketing based on electronic advertising by causal conditions (Identification of digital marketing in the tourism industry, creating a digital marketing campaign, promoting the influence of tourism culture, digital environment and developing the required infrastructure), contextual (Focus strategy, digital branding and digital marketing implementation, responding to needs and interests in the digital space and optimizing digital activities), interventionist (Customer insight, environmental factors, digital advertising capabilities, digital revolution, price transparency, organizational challenges), core categories (Branding based on behavior, interactive approach and customer expectations from tourism services), Strategies (Improve positioning, promotion of communication channels and value creation for customers through content production, interaction and customer participation based on E-WOM; Development of digital technologies and digital innovation) and consequences (increasing market share; organizational effectiveness, promoting and positioning the brand (company), enhancing the special value of the electronic brand and developing digital business) are realized.

In this, this research is practical in terms of purpose, and concepts were extracted by using theoretical foundations, background and semi-structured interview. From the qualitative aspect, the participating team consisting of academic experts and managers consisting of managers of venture capital companies, venture funds and capital supply, accelerators and investment angels and based on the criteria of experience, sufficient knowledge and research history with a purposeful sampling method in the snowball method in the number of 10 people were chosen. The findings showed that in the sustainable economic sector through venture investment, the categories of venture investment risk acceptance, venture investment liquidity management, venture investment returns, stock valuation, competitiveness, economic participation, financial flexibility, improving the business environment and increasing the quantity or quality of the workforce were identified. The sustainable social sector was identified through risky investment in the categories of social participation, social relations, information transparency, educational facilities, welfare facilities and environmental concerns. The prioritization of sustainable socio-economic dimensions through venture capital showed that social participation with a final weight of 0.079 is in the first priority, social relations with a final weight of 0.057 is in the second priority, increasing the quantity or quality of the workforce with a final weight of 0.038 is in the third priority. The results of model fitting showed that all identified categories were confirmed.

By changing the approach of the budgeting system in the Ministry of ICT to the performance-based budgeting approach, the possibility of performance-based payment, was provided. Despite the use of this method, the goal of using was not achieved. This research by interviews with 15 experts and specialists in the field of human resources,and based on the interpretive structural approach and using the theme analysis method and the MICMAC the requirements for the design and implementation of the performance-based payment model was analyzed. Based on the research findings, 6 components of "organization readiness", "effective interaction and communication", "transparent procedures", "fair system design", "legal procedures" and "documented procedures" were identified as performance-based payment requirements. Based on the drawing of the interaction network model between the components of 4 levels of components, the organizational readiness component at the fourth level was identified as one of the requirements and factors of financial stability and stability, collaborative management style and agile and flexible organizational structure as the themes of this component. The component of effective interaction and communication with high influence and leadership was identified as the most effective and the least affected of other components with the themes of informing the processes, getting feedback from the experience of employees, the existence of program liaisons and holding feedback meetings. 2 components of legal and documented procedures were identified as dynamic components in the model. The components of fair system design and transparent procedures had the most dependence and the least effect on other components.

Efficient and effective customer relationship management increases customer satisfaction and retention. Customer relationship management helps organizations evaluate profitability and customer loyalty using criteria such as repeat purchases, money spent, and durability. The main goal of this research was the dynamic modeling of communication with customers and the dynamic analysis of this model. The current research is applied in terms of purpose and in terms of survey method with model development approach. The time frame of the research is five years (2017-2021). For this purpose, information on the indices of 33 factors affecting competitive advantage in Tejarat Bank were entered into Bayesian averaging models (BMA), dynamic moving average model with parameters that can be changed over time (TVP-DMA) and dynamic selection model with parameters that can be changed over time (TVP). -DMS) Based on the error rate, the BMA model had the highest accuracy. After estimating the model, 8 main variables were identified. which consists of: long-term account balance; the amount of use of mobile bank; the amount of internet bank usage; real customers; legal clients; special or normality of the customer; Type of job and education. These 8 main identified variables were entered into the dynamic model and then the model was validated based on boundary adequacy tests, structure evaluation, integration error and sensitivity analysis.

Currently, the rapid development of digital technology has attracted a lot of attention from researchers, media and policy makers, The purpose of this research is to know and understand the experiences of experts in the field of presenting the corporate governance model in the age of information technology.

In this research, 88 questionnaires were answered by experts such as members of the audit committee, internal audit manager, board members and financial managers who had professional activities in corporate governance.

The obtained results show that the factors of increasing expertise and updating, administrative controls and responsibility centers, independent and internal audit, internal controls, performance management control, service compensation system, incentive system, reward system, performance evaluation system, virtual network organizations and Without borders, media control, legal system control, stakeholder control, market control, and increasing effectiveness and efficiency are the dimensions that constitute the ideal corporate governance model in the age of information technology.

To improve and provide better information, it should be aligned with technology, and certainly the development of technology, as well as knowing and using it correctly, can be effective in the effectiveness of corporate governance.

s.Abstract This research was done with the aim of designing an organizational disclosure model in government organizations. This research is developmental in terms of practical purpose, in terms of approach, and mixed (qualitative-quantitative) in terms of data analysis. In the qualitative phase of the research, using the theoretical sampling method, 10 experts were selected as the statistical population and subjected to in-depth interviews. In the quantitative phase, all senior and middle managers of government organizations in Kermanshah province were considered as the population, and 210 people were selected as a statistical sample based on random sampling. The main tool of data collection in the qualitative phase of the research was in-depth and unstructured interviews with experts. In the quantitative phase of the research, a closed and researcher-made questionnaire consisting of 30 items was used as the main tool for data collection. In the qualitative phase of the research, the data obtained from the questionnaire were analyzed based on the theme analysis method. In the quantitative phase of the research, SPSS and smart-PLS software were used to perform descriptive and inferential analyses. Finally, the results of the research led to the design of the organizational disclosure model in government organizations, and the hypothetical relationships and the complete structure of the model were tested and verified in a large society.Based on the research findings, the proposed model includes three categories of factors, which are: causal factors; mediating factors; And finally, consequential factors.

Today, societies and countries strive for growth and development to achieve superiority over others. Sustainable development encompasses all aspects of growth that each society aims to realize based on its resources and circumstances. This research aims to create a model for advancing sustainable development policies in Iran, drawing from partial successes. The study employs an applied research method with a descriptive-survey approach. It involved ten influential specialists in policy implementation, with sampling continuing until theoretical saturation was reached. Utilizing a qualitative approach and classical grounded theory, data was collected through interviews, which were then coded and analyzed using the emergent (Glaser) method. The findings indicate that multiple factors influence the promotion of sustainable development policies. Based on the new concept of partial successes and extensive coding, six key factors—economic, social, cultural, strategic, environmental, and organizational—were identified, along with 18 sub-indicators. Iran has prioritized these factors to advance sustainable development. Developing countries, including Iran, consider these indicators crucial for formulating sustainable development policies to achieve this significant global objective.

The current research was carried out with the aim of presenting indicators of culture, religious spirituality and professional ethics of human capital with the approach of transformation and development of human resources in the organization (the case study of Tehran Municipality Organization). The qualitative research method is based on the foundation's data theory. In the content analysis section of the articles, 160 articles were collected, 80 of which were classified as domestic (from 2018 to 2018) and foreign (2018 to 2022). The qualitative part was using open coding, central coding and selective coding, the basic indicators were extracted. The interview questions were designed under the supervision of the scientific committee and designed as a semi-structured interview. Using the purposeful snowball sampling method, 30 of them were selected as a sample until theoretical saturation. The results of the current research led to the identification of 6 codes and 18 codes out of 275 were open codes. The main index includes the identity of individual religious spirituality, including sub-components, establishment of organizational spirituality, individual professional ethics, establishment of organizational professional ethics, organization's human resources management and leadership style. It was an organization. In the second round, a Likert questionnaire was sent to 30 experts in order to determine the agreement coefficient of each component, which in this research was using Kendall coefficient w and comparing the average and the agreement of two groups of experts above 0.80%. Was .