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کاربست هوش مصنوعی و مدیریت دانش در بهبود حکمرانی شرکتی مطالعه موردی شرکت مپنا | ||
| مدیریت راهبردی دانش سازمانی | ||
| مقاله 6، دوره 7، شماره 4 - شماره پیاپی 27، دی 1403، صفحه 154-175 | ||
| نوع مقاله: مقاله پژوهشی با اصالت | ||
| شناسه دیجیتال (DOI): 10.47176/smok.2024.1813 | ||
| نویسندگان | ||
| سمیه طحان پور1؛ وحید آرایی* 2؛ مازیار عظیمزاده ایرانی3؛ علی اصغر پورعزت4 | ||
| 1دانشجوی دکترای مدیریت دولتی، گروه مدیریت دولتی و خط مشی گذاری عمومی، واحد تهران مرکزی، دانشگاه آزاد اسلامی ، تهران، ایران | ||
| 2استادیار، گروه مدیریت دولتی و خط مشی گذاری عمومی، واحد تهران مرکزی، دانشگاه آزاد اسلامی، تهران، ایران | ||
| 3استادیار، روزه مدیریت دولتی و خط مشی گذاری عمومی، واحد تهران مرکزی، دانشگاه آزاد اسلامی، تهران، ایران | ||
| 4استاد، گروه مدیریت دولتی، دانشگاه تهران، تهران ایران | ||
| تاریخ دریافت: 21 مهر 1403، تاریخ بازنگری: 27 آبان 1403، تاریخ پذیرش: 01 دی 1403 | ||
| چکیده | ||
| زمینه/هدف: یکی از موضوعات مهم در سال‌های اخیر مفهوم حکمرانی شرکتی است. این مفهوم به شیوه مدیریت و کنترل یک سازمان پرداخته‌است و هدف اصلی آن تضمین شفافیت، مسئولیت‌پذیری و انصاف در تصمیم‌گیری‌های شرکتی است. ازسوی‌دیگر، مدیریت دانش به سازمان‌ها کمک می‌کند تا از تجربیات و اطلاعات موجود بهره‌برداری کرده و به بهبود تصمیم‌گیری و نوآوری پرداخته شود. با ظهور هوش مصنوعی به‌عنوان یکی از فناوری‌های پیشرو، سازمان‌ها به سمت افزایش بهره‌وری هدایت می‌شوند. کاربست هوش مصنوعی و مدیریت دانش در حکمرانی شرکتی می‌تواند به بهینه‌سازی تصمیم‌گیری و افزایش کارایی سازمان‌ها منجر شود. سازمان‌های کشور همواره به یک نظام دانشی نیاز دارند که بتواند به‌صورت هماهنگ، منظم، هدفمند، مستمر و پویا عمل کند. یکی از این سازمان‌ها، شرکت مپنا است. روش پژوهش: رویکرد پژوهش حاضر کیفی است و با استفاده از روش تحلیل مضمون انجام شده‌است. روش‌های گردآوری داده‌ها در این تحقیق شامل مطالعات کتابخانه‌ای و مطالعات میدانی است. در مرحله بعد مدل مفهومی از روش تحلیل مضمون ارائه شده است. مدت زمان انجام مطالعات میدانی و طراحی، توزیع، جمع‌آوری و تحلیل داده‌های کیفی در بازه زمانی اسفند ۱۴۰۱ تا اسفند ۱۴۰۲ صورت گرفته‌است. یافته‌های پژوهش: براساس روش تحلیل مضمون، ابعاد و مؤلفه‌های مؤثر در مدیریت دانش در شرکت مپنا شامل بعد فردی، بعد سازمانی و بعد محیطی هستند. ابعاد و مؤلفه‌های مؤثر در هوش مصنوعی در شرکت مپنا شامل بعد زمینه‌ای، استراتژی‌های سازمان، بعد سازمانی، بعد بازاریابی، بعد ساختاری و بعد محیطی می‌باشد. نتیجه‌گیری: نتایج نشان می‌دهد که مدیریت دانش تأثیر قابل‌توجهی بر حکمرانی شرکتی در شرکت مپنا دارد. همچنین، هوش مصنوعی با ابعاد زمینه‌ای، استراتژی‌های سازمان، ابعاد سازمانی، بازاریابی، ساختاری و محیطی نیز بر حکمرانی شرکتی در این شرکت تأثیرگذار است. حکمرانی شرکتی می‌تواند مزایای قابل‌توجهی برای یک ساختار تجاری یا گروهی به ارمغان آورد. این نوع حکمرانی فرهنگ سازمانی را قوی‌تری و شفافیت را در تمامی سطوح سازمان فراهم می‌آورد و تضمین می‌کند که همه بازیگران نقش شخصی خود را در عملیات درک می‌کنند. با این رویکرد حکمرانی شرکتی تضمین می‌کند که تمامی اطلاعات واحد تجاری به‌روز و دقیق هستند و به هیئت‌مدیره این امکان را می‌دهد تا تصمیمات استراتژیک روشن و دقیقی را بر اساس داده‌های معتبر اتخاذ کند. | ||
| کلیدواژه‌ها | ||
| حکمرانی شرکتی؛ شرکت مپنا؛ مدیریت دانش؛ هوش مصنوعی | ||
| عنوان مقاله [English] | ||
| The use of artificial intelligence and knowledge management in improving corporate governance a case study of mapna company | ||
| نویسندگان [English] | ||
| Somayyeh Tahanpour1؛ Vahid Araei2؛ Mazyar Azimzadeh Irani3؛ Aliasghar Pourezat4 | ||
| 1PhD student in Public Administration, Department of Public Administration and Public Policy Doctoral Program, Central Tehran Branch, Islamic Azad University, Tehran, Iran | ||
| 2Assistant Professor, Department of Public Administration and Public Policy Doctoral Program, Central Tehran Branch, Islamic Azad University, Tehran, Iran | ||
| 3Assistant Professor, Department of Public Administration and Public Policy Doctoral Program, Central Tehran Branch, Islamic Azad University, Tehran, Iran | ||
| 4Professor, Department of Public Administration, University of Tehran, Tehran, Iran | ||
| چکیده [English] | ||
| Purpose: One of the most important issues in recent years is the concept of corporate governance. This concept deals with the way of managing and controlling an organization and its main goal is to ensure transparency, accountability and fairness in corporate decisions. On the other hand, knowledge management helps organizations to take advantage of existing experiences and information and improve decision-making and innovation. With the emergence of artificial intelligence as one of the leading technologies, organizations are driven to increase productivity. The application of artificial intelligence and knowledge management in corporate governance can lead to optimization of decision-making and increasing the efficiency of organizations. Organizations of the country always need a knowledge system that can work in a coordinated, regular, purposeful, continuous and dynamic manner. One of these organizations is Mapna. In this company, until now, organizational knowledge management models that are based on corporate governance have not been investigated, and knowledge management has only been dealt with separately and superficially. Therefore, this research area needs more extensive studies. In this regard, this study presents the model of artificial intelligence and knowledge management in corporate governance. Methodology: The approach of the current research is qualitative and it was done using thematic analysis method. Data collection methods in this research include library studies and field studies. In the first stage, with comprehensive library reviews and evaluation of past studies, including English and Persian books and articles, theses, effective factors and components of artificial intelligence and knowledge management in Mapna company were identified and extracted. In the second stage, in the field method, the factors and components of artificial intelligence and knowledge management were identified from the tools of interviews with professors and experts of the studied society and the method of content analysis. In the next step, a conceptual model of the theme analysis method was presented. The duration of conducting field studies and design, distribution, collection and analysis of qualitative data was done in the period of March 1401 to March 1402. Findings: Based on the theme analysis method, the effective dimensions and components in knowledge management in Mapna include individual dimension, organizational dimension and environmental dimension. The effective dimensions and components in artificial intelligence in Mapna include contextual dimension, organization strategies, organizational dimension, marketing dimension, structural dimension and environmental dimension. The results show that knowledge management, including individual, organizational and environmental dimensions, has a significant effect on corporate governance in Mapna Company. Also, artificial intelligence with contextual dimensions, organization strategies, organizational, marketing, structural and environmental dimensions also affects corporate governance in this company. Corporate governance can bring significant benefits to a business or group structure. This type of governance is able to create a stronger organizational culture and place compliance and reputation at the center of the organization's activities. Also, it provides transparency at all levels of the organization and ensures that all actors understand their personal role in the operation and when and why they are expected. With this approach, growth opportunities are clearly visible, as corporate governance ensures that all business unit information is up-to-date and accurate, allowing the board to make clear and accurate strategic decisions based on valid data. Research limitations: The most important obstacles and limitations of this research include the following: Lack of cooperation from some managers and experts of MAPNA Company due to the volume of executive activities, Due to the researcher's efforts to explain the objectives and benefits of the research to managers and experts, as well as to increase accuracy in answering the questionnaire questions, conducting the research took some time in some stages. The diversity of the field of corporate governance activities in MAPNA Company led to the expansion of categories in the field of artificial intelligence and knowledge management, which inevitably led to some of them being omitted according to the elites' opinion. The findings of this research and the presentation of the corporate governance model are within the time frame of data collection, and the passage of time may change the prioritization of the dimensions and indicators of the model. | ||
| کلیدواژه‌ها [English] | ||
| artificial intelligence, corporate governance, knowledge management, Mapna Company | ||
| مراجع | ||
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آمار تعداد مشاهده مقاله: 210 |
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