درخت حوزه‌های تخصصی

Dynamic capabilities refer to an organization's capacity to purposefully create, expand, or change its resource base. In all countries of the world, the gas industry of each country plays an important role in its economy and growth. And we are in an era where rapid global changes and technological innovations occur, and gas refineries are not unaffected by these changes. The objective of this research is to identify dynamic capabilities within knowledge-based companies in the gas refining industry. This study employs a mixed-methods approach to develop a model of dynamic capabilities specific to knowledge-based gas refining enterprises. By analyzing 54 articles through a meta-synthesis method and conducting semi-structured interviews with 12 experts in this field, the components of dynamic capabilities were identified through thematic analysis. Following this, the factors were evaluated using confirmatory factor analysis, and a questionnaire was distributed to specialists, with all components being validated in the initial phase. To develop the final model, the research utilized structural interpretive modeling (ISM), and the corresponding questionnaire was completed by 15 managers of knowledge-based companies in Tehran

Money laundering refers to the concealment of the illegal origin of proceeds obtained from criminal activities, making it appear as if they stem from legal sources. This phenomenon has numerous negative impacts on various economic and social spheres; thus, the countries` authorities - alongside international bodies - have sought to combat it by enacting the necessary laws and regulations and enforcing them. This collaboration occurs to prevent the establishment of a free zone for money laundering and ensures that the efficiency of enforcing these regulations is not disrupted. Iran, due to being in the financial Action Task Force (FATF) blacklist, is considered a free zone from this perspective. This makes the research on evaluating money laundering methods applicable to this country and also makes selecting suitable methods significant and appealing. Therefore, this study utilized the findings of the study by Hendriyetty and Grewal (2017) and, considering the information limitations in Iran, employed a combination method using capital flight approach as an index for measuring money laundering. The results of the research indicate that over a 28-year period, from 1995 to 2022, approximately 553 billion dollars have been laundered in Iran, averaging about 20 billion dollars annually. The highest amount of money laundering in Iran occurred in 2011, during which nearly 55 billion dollars was laundered in the country. Additionally, the observations show the lowest amount of money laundering at around 4.8 billion dollars in 2001.