سیدجواد ایرانبان

The The purpose of the research is to investigate the effect of using EPI on the acceleration of imports and the transparency of customs affairs Customs of Fars province. This research is applied in terms of purpose and descriptive-survey in terms of month and form of execution. The statistical population of this research includes 111 employees, of which a sample of 68 people was selected using Morgan's table. In this study,questionnaires were used to collect information to test the hypotheses. Cronbach's alpha coefficient was also used to evaluate the reliability of the questionnaire. Spss42 software is used to test hypotheses. The results of this analysis showed that the effect of using the economic performance index has an effect on the acceleration and transparency of customs affairs. The use of economic performance is accelerated. The use of economic performance has an effect on the transparency of customs affairs.

In the contemporary landscape of technology-driven industries, the integration of artificial intelligence into technology scouting is imperative for enhancing innovation and sustaining competitiveness. This research aims to forge a framework for technology scouting based on artificial intelligence, with a specific focus on technology-based companies. Employing a qualitative approach, data collection utilized the meta-synthesis method devised by Sandelowski and Barroso. This involved a systematic review of 28 articles relevant to the research goal out of a pool of 253 primary articles. The final selection of articles was based on predefined inclusion criteria. The research's validity was confirmed through adherence to criteria, team meetings, expert consultations, and an exhaustive audit for theoretical consensus, while reliability was ascertained through the Critical Evaluation Skills Programme. The framework spans five dimensions: technology scouting tools, technology life cycle, firm environment, firm's approach to the environment, and firm's absorptive capacity. The findings underscore the pivotal role of AI-based technology scouting tools, elucidate the nuanced dynamics of the technology life cycle, and reveal the multifaceted aspects of the enterprise environment. The research outlines strategic approaches for navigating the evolving technology landscape, underscoring the imperative of absorptive capacity for the effective utilization of artificial intelligence technologies. By delivering actionable insights and strategic counsel, this research serves to furnish technology-based companies with a robust underpinning for negotiating the intricate intersection of AI and technology surveillance. In doing so, it propels sustainable growth, fortifies competitive advantage, and fosters enduring innovation.

  Financial supply is one of the key factors for the growth and survival of small and medium-sized enterprises (SMEs). This research focuses on identifying and prioritizing the components of financial supply for SMEs. To achieve this, an artificial neural network (ANN) is used as an advanced method. The study consists of three main phases. Firstly, through a review of the literature on the subject, the components of financial supply for SMEs were identified. Then, by using surveys and gathering data from experts and managers of SMEs in Iran, the necessary data for training the neural network were collected. Finally, by analyzing the data using the neural network, the components of financial supply for SMEs were determined based on their priorities. The results showed that the most important components of financial supply for SMEs, in order of priority, are: investment, internal financial supply methods, and external financial supply. This research can help SME managers and decision-makers choose the best financial supply strategies for the growth and development of their businesses. Additionally, the results of this research can assist policymakers and economic planners in identifying and implementing appropriate support policies for SMEs.

During the last years, the emergence of new technologies and the creation of great changes in global markets have made it more necessary to pay attention to technology and project portfolio management.

With the aim of analyzing the factors and components of the portfolio management of health R&D projects.Research

The research is applied in terms of purpose, which was conducted with the qualitative method of Sandusky and Barroso's seven-stage Metasynthesis model. The statistical population is all studies conducted in Iranian articles from 1393 to 1400 and foreign articles from 1998 to 2022, previous researches, databases.

In this regard, 260 researches in the field of the subject were evaluated and finally 60 articles were selected purposefully and by analyzing the content and combining the relevant literature with open, central and selective coding methods, a total of 100 open codes, 19 central codes, 14 The key category was selected and analyzed during the systematic search and combination process, and its validity was confirmed through Kaufman's kappa test.

key categories identified include; Financial management, intellectual capital management, technology management, IT management, R&D management, strategic management, project portfolio management, healthcare services management, health information technology management, quality management, political factors, cultural factors, economic factors and The legal factors were categorized into three categories: main, contextual, and environmental factors, and finally, after going through the seven stages of the research, the portfolio management model of R&D projects in the field of health services based on information technology was formulated.

Financing has always been one of the main challenges of creating and developing start-up businesses and small economic industries. Therefore, the purpose of the current research is to identify and present a model for financing small and medium industries with the approach of evaluation laboratory and decision test based on the process of interpretive structural modeling and Fuzzy Dimetal. This article deals with the design of different scenarios in the financing of small and medium enterprises. For this reason, taking into account the previous studies and the fuzzy screening method, a dynamic model has been developed to extract effective factors on the financing of small and medium enterprises and to specify the cause-effect circles. Then, using structural modeling technique and Fuzzy Demetall, relationships and levels between them, the amount of influential and influential coefficients have been determined and included in the model, finally, in order to test the accuracy of the model and determine the behavior of state and rate variables, we collected Information from 30 small and medium-sized enterprises has been requested to know the new methods of financing in a period of 12 months, which was evaluated by analyzing the behavior of the variables in the framework of the model, as well as the sensitivity analysis, and the validity of the designed dynamic model. The results showed that small and medium enterprises can benefit from the designed model and scenarios for optimal financing of their business.

In today's rapidly changing technological and competitive world, industrial companies must develop new products. In this regard, the aim of this research is to provide a new product development model suitable for the conditions of gas refining companies. This research has used the foundational data theory approach. The statistical population of this research is managers, heads of departments, and experts of the studied refining companies. After conducting 20 semi-structured interviews with experts, this research has modeled the model of the product development process based on the qualitative research strategy and using MAXQDA software. The findings showed that the causal conditions of product development, including the pressures caused by system policies, customer-oriented attitude, and internal organizational factors, lead to product development management. Land conditions include financial-economic, political, legal, technical-technological, governance, and investment considerations. Also, the intervening conditions include infrastructure, management characteristics, employee characteristics, and organizational structure. The main phenomenon is product development. Also, the strategies include forming a product development team, sifting ideas, marketing research, market measurement, speeding up the process of idea to action, the feasibility of production preparations, preparation of production preparations, accurate creativity, and adaptation of strategy horizontally and vertically. Finally, the expected outcomes of product development management include the timely presence of the product in the market and increased sales and exports.

Learning as a vital actor for companies to create value for sustainable competitive advantage in today's complex and changing environment. Therefore, the present research was carried out to investigate the relationship between strategic HR management and organizational learning based on the role of knowledge management intermediary. The present research is applied from the perspective of the target. From the perspective of the method of data collection, the research method is descriptive correlation type. The statistical population of the study was employees of Shahr Bank Branch in Fars province. Sampling method was randomized and sample size was determined based on Cochran formula 217 people. A questionnaire was used to collect the information and measure the variables of the research. Data was analyzed using Lisrel software (SPSS 22). The inferential findings of the research showed that all variables are normal based on the Kolmogorov-Smirnov test and the researcher can use parametric statistics to analyse the data. Also, the results of path analysis showed that KM has the highest relationship with organizational learning variable.

Motivation is one of the basic issues and concepts in human capital management, and many works and writings on motivation have been presented by various scholars in which, both theoretically and empirically, motivational techniques used by managers to improve the performance of individuals has been discussed. Therefore, the present study was conducted to investigate the organizational and psychological variables related to job motivation of employees. The purpose of this research is to apply applied knowledge in the field of organizational studies. From the perspective of the descriptive method – correlation, the statistical population of this research is 700 employees in the kowsar Hospital in Shiraz. Sampling method, in the form of random stratified sampling, 248 people were selected as sample size. A questionnaire was used to collect data. Research hypotheses were analyzed using structural equation modeling. The results of data analysis showed that self-efficacy with 0.805 path coefficient with the lowest relationship with employee's job motivation.

The study examines the relationship between components of emotional intelligenc ( self-awareness , self-management , social awareness and relationship management) and organizational learning , also the relationship between components of emotional intelligence and organizational performance in Shiraz Water Organization. The purpose of the study in terms of applied research and field work research branch , in terms of time and in terms of data collected is cross correlation. The study population included all employees of the Water Organization in Shiraz in 1395 and a sample of 169 employees who were the availability of individuals will be selected. Measuring tools research were Bradberry and Greaves emotional intelligence questionnaire , Gomez organizational learning questionnaire , Mousavijad organizational performance. SPSS and LISREL are two software that using for both descriptive and inferential data analysis. The result showed a significant and positive correlation self-awareness and organizational learning , a significant and positive correlation relationship management and organizational learning , a significant and positive correlation self-awareness and organizational performance , a significant and positive correlation relationship management and organizational performance. There are no significant relationship between two other components ( self-management and social awareness) and organizational learning and organizational performance. In other words two components of emotional intelligence ( self-awareness and relationship management) predict organizational learning and organizational performance.

The present study with the aim Identification and Prioritization of the Factors Effecting on Establishment Knowledge Management (KM) and its relationship to competitive advantage and organizational performance in NIGTC – ZONE 1. The statistical population of this study is composed of all bachelor staff to up with at least 5 years work. Whose number is equal to 300. Which according to Morgan’s table, the sample size is 169, which were selected by random sampling method and questionnaires were distributed among them. Questionnaire reliability was confirmed by combinational test methods and a Cronbach's alpha test. Questionnaire validity was confirmed in terms of content validity, diagnostic validity, construct validity and convergent validity. The Shapiro–Wilk test was conducted in order to test the normality of the variables and, structural equation modeling and was conducted in order to test the hypotheses. Results showed among the factors affecting on implementation knowledge management with competitive advantage and organizational performance have a significant relationship. Also, among the factors affecting on implementation knowledge managementº human resources, strategy and objectives, organizational culture, organizational structure and infrastructure had the greatest impact on competitive advantage. And among the factors affecting on implementation knowledge management ºInfrastructure, human resources, strategy and objectives, organizational culture and organizational structure, had the greatest impact on organizational performance. Also, among the factors competitive advantage of the time, cost, flexibility greatest impact on organizational performance. Among the factors affecting on implementation knowledge management, human resources, infrastructure, strategy and objectives, organizational culture and organizational structure were ranked .

Today، one of the tools for Environmental sustainability، along with increasing manufacturers'' performance is Green Supply Chain Management (GSCM). In this way، the purpose of this paper is to study «Identifying & prioritizing the effective factors on Green Supply Chain Management in chemical and detergents manufacturers by using Path Analysis Approach». The empirical data used in this study consists of questionnaire responses from 36 managers chemical and detergents manufacturers. Statistical analysis of data was done in two stages; Kendall''s Tau-b Correlation study and use of statistical method of Path Analysis. The results show the rejection of influence on internal drivers on Green Supply Chain Management practices (third hypothesis)، while the influence of external drivers on internal drivers and GSCM practices have been approved. This indicates that external drivers can provide positive bias of internal drivers towards a GSCM practice and manufacturers have to do this in order to stay in this competition.

The present study is on investigation of the possibility of establishing school-based management from principals’ point of view. School-based management is based on participatory management and is a move towards decentralization in educational system and more independence in schools.
Statistical population consisted of all principals of female high schools in Shiraz. Since the population was small, no sampling was done.
The data collection instrument was a school-based management questionnaire. The reliability of the instrument was established using Cronbachs Alpha. Reliability coefficient of the questionnaire was 0.22. using one – parameter t – test, we found that the principals saw school-based management as part of designating authority to schools and welcomed such arrangements.

Today necessary and important of new product, conversion as a necessary strategy for stay in business. Chief companies try to use new approaches for improvement of new product development (NPD) process. One of these new approaches is concurrent engineering (CE). Many researches and studies about this approach was carried out or is doing now. In the general perspective, concurrent engineering presenting the pattern that have three aspects of design, production and customer. In other words, concurrent engineering approaches try to consider the design, manufacturing and customer of product for achievement the significant improvements in business. In this article try to consideration all three aspects of concurrent engineering and finally presenting the conceptual model of new product development (NPD) in this environment.