فهرست مطالب ata harandi

Government budgeting is of great significance in assisting countries to achieve the economic and social objectives. With the expansion of modern technologies, especially artificial intelligence, new opportunities have emerged to improve financial and budgetary processes. With its advanced capabilities in data analysis and needs forecasting, AI can help increase accuracy and efficiency in resource allocation. These technologies not only transform existing processes but can also make a significant improvement in transparency and accountability in government financial affairs.

The objective of this study is twofold: first, to evaluate the efficiency of using artificial intelligence technologies such as neural networks and genetic algorithms in optimizing the allocation of government budgeting resources. Second, to determine the impact of these technologies on the transparency and accountability of budgeting processes to enhance public participation and trust.

The study employs a mixed-method approach. Data analysis is conducted through scenario modeling and and the Multipol software. Additionally, interviews and questionnaires with experts in related fields have been organized to provide our audience with a better understanding of the existing challenges and opportunities.

Findings indicate that the use of artificial intelligence can significantly increase accuracy, transparency, and efficiency in government budgeting. Artificial intelligence enables policymakers to adjust resource allocation based on more accurate data and optimized forecasts.

These days, startups have attracted a lot of attention at the national and international level because countries need innovation in their businesses to create a dynamic in the economy, startups or businesses can grow and improve. Startups are usually created from big ideas and evolve to achieve success, but startups face many obstacles to success. One of the obstacles that start-ups and new businesses face is choosing a partner at each stage of the business life cycle, so doing this process is not an easy task and in this regard aspects and criteria should be considered. Identifying and analyzing the relationship between partner selection criteria can help to increase the probability of success and continue the path of startups formed in the ecosystem so that the active people in this ecosystem can make smarter decisions. One of the vital factors of partnership, sustainability and transparency are at the highest priority level and therefore more attention should be paid to these matters. To obtain a complementary, interconnected, and integrated view to examine the research topic and also to fill the existing gaps, this research seeks to do the following: The performance and scientific approach of researchers and people active in the ecosystem to express some selection criteria To be analyzed as a partner and investor in new businesses and start-ups.

The paper explains the role of perceived overqualification in cyberloafing. This research is based on the dates that collected from Iranian oil companies. The aim is to explore the association between perceived overqualification and increased cyberloafing in the organization. This research is descriptive and positivist with an applied design. The data were collected using cross-sectional surveys and questionnaires. The statistical population consisted of Iranian oil industry employees with a minimum of one computer system. The respondents were selected using randomized cluster sampling, and the sample size was calculated using the Cochran formula. Inferential statistic methods and structural equation modeling (SEM) were employed to test the hypothesis and analyze the data. Our results indicate that employees with perceived overqualification show behaviors such as compensation to balance their effort and payments, energy loss, and emotional exhaustion. Furthermore, emotionally exhausted employees have higher cyberloafing. However, organizational commitment could be a partial moderator between perceived overqualification and cyberloafing.

Economic family businesses make up 70% of all businesses and play a significant role in growth and work of most of countries. The family businesses are the backbone of many economies. Many of these companies have a well-defined governance structures, but still most families operate without a transparent corporate governance system. The increasing volume of studies related to the concept of corporate governance and the concepts derived from it, as well as some of the inconsistencies drawn around the consequences of this concept, was a motivating factor, to inspire   the researchers of this study. We Conducted a review of the introduction, decision and conclusion; in order to integrate the components obtained from the findings of other authors in the field of corporate governance in family companies. Analyzing and fabricating the concept of corporate governance, especially in family companies; 2) knowing the factors and constituents of corporate governance in family companies and 3) introducing the antecedents and messages of corporate governance in private companies were among the main goals of this research. This study was done based on the pattern of four stages of systematic review and search articles. Then, by searching in reliable databases, this research was started and implemented. In the first stage, the top 440 articles in the scientific databases approved in CABS, a list that dealt with the theoretical field of corporate governance in the context of family businesses, were selected in five years period (2019-2023). In the first stage, the best and most qualified articles for in-depth review and finding the appropriate answer to the research question were downloaded, selected, screened and evaluated. Our Research was done in two phases, descriptive analysis and Research analysis.. By conducting this systematic review, 43 eligible articles were selected for final evaluation. The results showed that the main structure of corporate governance in family companies made up of a set of 75 codes, that included 17 antecedent codes, 29 dimension codes and 29 the consequences codes.

Science and technology parks are established to develop a knowledge-based economy since they play a significant role in developing the ecosystem of innovation. In the last two decades, we are witnessing a quantitative surge of science and technology parks in Iran, Now, we need to improve and develop the quality of this important player in the ecosystem of innovation. From the perspective of 1404, a significant contribution is considered for the knowledge-based economy in the national GDP. Currently, this share is very insignificant; less than one percent. The main goal of this research is to design an excellent model of science and technology parks in Iran with the aim of developing the role of companies based in the knowledge-based economy. The present study, using a qualitative approach and relying on symbolic interpretative philosophy, seeks to extract the essence of the excellence model of science and technology parks in Iran. In this regard, the grounded theory strategy has been used to explain the theory's induction. The data was collected through semi-structured interviews with 21 academic and executive experts in the innovation ecosystem and through theoretical sampling until the theoretical saturation point was acheived. The results of the research show that science and technology parks in Iran have the most characteristics of the first and second generation parks, and to excel,they should move towards developing the features of the third and fourth generation (features such as improving the welfare of local communities, having professional management teams, shaping the knowledge city, special innovation zones and digital parks).

External environment of organizations includes in uncertainty, ambiguity and transformation. In these circumstances, strategic directors of organizations track an approach using the intuitive decision making skills and improvisational capabilities which result in quick decisions in facing challenges and help them improve the performance by responding to external changes quickly. The current research look for designing an organized framework in regards to the concepts of strategic intelligence, strategic improvisation and Agility performance in connection with each other and in Iranian knowledge based companies, trying to take action regarding development of available frontiers of knowledge in this area. This research is an applied-surveying type. The required data for this research has been collected through questioners by random sampling of knowledge based companies which are active in the field of information technology in Iran. Meanwhile, structural equations method is used through making use of Smart PLS ˡ software for data analysis. The obtained results indicate that the strategic intelligence and strategic improvisation are effective on Agility performance of Iranian knowledge based companies. Meanwhile the mediation role of strategic improvisation on effectiveness of strategic intelligence on Agility performance of Iranian Knowledge based companies is verified.