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تحلیل کارکرد فناوری فراجهان در نگهداشت و جذب دانش با استفاده از رویکرد تلفیقی مدل‌سازی ساختاری تفسیری و معادلات ساختاری | ||
| مدیریت دانش سازمانی | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 12 تیر 1403 | ||
| نوع مقاله: مقاله پژوهشی با اصالت | ||
| شناسه دیجیتال (DOI): 10.22034/jkm.2024.237091.1723 | ||
| نویسندگان | ||
| سید مجتبی حسینی بامکان* 1؛ هاجر سلیمانی زاده2؛ مهران ضیائیان3 | ||
| 1دانشیار/ دانشگاه یزد | ||
| 2دانشجوی دکترا مدیریت صنعتی دانشکده، اقتصاد، مدیریت و حسابداری، دانشگاه یزد، یزد، ایران | ||
| 3دکترا مدیریت صنعتی دانشکده، اقتصاد، مدیریت و حسابداری، دانشگاه یزد، یزد، ایران | ||
| تاریخ دریافت: 23 بهمن 1402، تاریخ بازنگری: 14 اسفند 1402، تاریخ پذیرش: 27 خرداد 1403 | ||
| چکیده | ||
| با توجه به اهمیت مدیریت دانش در بهبود عملکرد صنایع مختلف از جمله صنعت برق در زمینه-هایی همچون کاهش خطرات ایمنی، استفاده از سیستم‌های پیچیده و ...، نگهداشت و جذب دانش به منظور ارتقاء سطح مهارت کارکنان ضروری است. هدف از انجام این پژوهش بررسی چگونگی کارکرد فناوری فراجهان در نگهداشت و جذب دانش در صنعت برق کشور است. به منظور انجام پژوهش حاضر در ابتدا 12 دستاورد حاصل از کارکرد فناوری فراجهان با مرور پیشینه پژوهش شناسایی و به تأیید خبرگان و مدیران صنعت برق کشور رسید. در ادامه با استفاده از روش نمونه-گیری قضاوتی و نظرخواهی از 15 نفر از خبرگان دانشگاهی و مدیران صنعت برق کشور، نحوه ارتباط میان دستاوردهای حاصل از کارکرد فناوری فراجهان شناسایی و مدل مفهومی چگونگی کارکرد فناوری فراجهان در نگهداشت و جذب دانش در صنعت برق کشور با استفاده از رویکرد مدل‌سازی ساختاری تفسیری ارائه شد. مدل‌سازی ساختاری تفسیری دارای کاستی‌هایی از جمله اتکاء به شهود و قضاوت شرکت‌کنندگان است. این مشکل اعتبار رویکرد مدل‌سازی ساختاری تفسیری را تحت تأثیر قرار می‌دهد. برای حل این مشکل و به منظور اعتبارسنجی مدل ارائه شده حاصل از رویکرد مدل‌سازی ساختاری تفسیری، از رویکرد مدل‌سازی معادلات ساختاری و نرم‌افزار Smart PLS استفاده شد. با استفاده از روش نمونه‌گیری در دسترس تعداد 350 پرسشنامه میان کارکنان و مدیران صنعت برق کشور توزیع و تعداد 307 پرسشنامه بازگشت داده شد. نتایج حاصل از این پژوهش نشان داد که فناوری فراجهان از طریق قابلیت‌هایی همچون هوش مصنوعی محیطی، شبیه‌سازی، پردازش زبان طبیعی، استفاده از شبکه‌های اجتماعی، تحلیل داده‌ها، سازماندهی دانش، همکاری، به اشتراک‌گذاری دانش، دسترسی به منابع گسترده، آموزش تعاملی، ذخیره‌سازی دانش و به روز رسانی دانش در نگهداشت و جذب دانش نقش اساسی دارد. | ||
| کلیدواژه‌ها | ||
| مدیریت دانش؛ نگهداشت دانش؛ جذب دانش؛ فناوری متاورس؛ هوش مصنوعی | ||
| عنوان مقاله [English] | ||
| Analyzing the function of metaverse technology in the retention and absorption of knowledge using the integrated approach of interpretive structural modeling and structural equations | ||
| نویسندگان [English] | ||
| seyed mojtaba Hosseini Bamakan1؛ hajar soleymanizadeh2؛ Mehran Ziaeian3 | ||
| 1Department of Industrial Management, Faculty of Economics, Management and Accounting, Yazd University | ||
| 2PhD student in Industrial Management, Faculty of Economics, Management and Accounting, Yazd University, Yazd, Iran | ||
| 3student in Industrial Management, Faculty of Economics, Management and Accounting, Yazd University, Yazd, Iran | ||
| چکیده [English] | ||
| Considering the importance of knowledge management in improving the performance of various industries, including the electricity industry, in areas such as reducing safety risks, using complex systems, etc., it is necessary to maintain and absorb knowledge in order to improve the skill level of employees. The purpose of this research is to investigate how Metaverse technology works in retention and absorbing knowledge in the electricity industry of the country. In order to carry out the present research, at first, 12 achievements resulting from the operation of Metaverse technology were identified by reviewing the background of the research and were approved by the experts and managers of the country's electricity industry. In the following, by using judgmental sampling method and asking opinions from 15 academic experts and managers of the country's electricity industry, the relationship between the achievements of Metaverse technology in the country's electricity industry was identified and a conceptual model of how Metaverse technology works in retention and absorbing knowledge. It was presented in the electricity industry of the country. In order to fit the presented model, structural equation modeling approach and Smart PLS software were used. Interpretive structural modeling has shortcomings such as relying on the intuition and judgment of the participants. This problem affects the validity of interpretive structural modeling approach. To solve this problem and in order to validate the presented model resulting from the interpretive structural modeling approach, the structural equation modeling approach and Smart PLS software were used. Using available sampling method, 350 questionnaires were distributed among the employees and managers of the country's electricity industry, and 307 questionnaires were returned. The results of this research showed that metaverse technology through capabilities such as environmental artificial intelligence, simulation, natural language processing, use of social networks, data analysis, knowledge organization, cooperation, knowledge sharing. Access to extensive resources, interactive education, knowledge storage and knowledge updating play a fundamental role in retention and absorbing knowledge. | ||
| کلیدواژه‌ها [English] | ||
| Knowledge management, Knowledge retention, Knowledge absorption, Metaverse technology, Artificial intelligence | ||
| مراجع | ||
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آمار تعداد مشاهده مقاله: 27 |
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