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فرصتها و چالشهای سیاستگذاری حکمرانی داده در معاونت علمی، فناوری و اقتصاد دانشبنیان ریاستجمهوری | ||
| مدیریت راهبردی دانش سازمانی | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 28 تیر 1405 اصل مقاله (1.7 M) | ||
| نوع مقاله: مقاله پژوهشی با اصالت | ||
| شناسه دیجیتال (DOI): 10.47176/SMOK.2026.2028 | ||
| نویسندگان | ||
| زهرا فقیهی1؛ نسترن پورصالحی2؛ علیرضا نوروزی* 2 | ||
| 1دانشجوی کارشناسی ارشد مدیریت اطلاعات، گروه علم اطلاعات و مدیریت دانش، دانشکده مدیریت دولتی و علوم سازمانی، دانشکدگان مدیریت، | ||
| 2گروه علم اطلاعات و مدیریت دانش، دانشکده مدیریت دولتی و علوم سازمانی، دانشکدگان مدیریت، دانشگاه تهران، تهران، ایران | ||
| تاریخ دریافت: 0-747 فروردین 786، تاریخ بازنگری: 0-723 فروردین 786، تاریخ پذیرش: 0-708 فروردین 786 | ||
| چکیده | ||
| هدف: این پژوهش، فرصتها و چالشهای سیاستگذاری حاکمیت داده را در معاونت علمی، فناوری و اقتصاد دانشبنیان ریاست جمهوری ایران شناسایی و اولویتبندی میکند. روششناسی: ابتدا مؤلفههای حاکمیت داده از طریق بررسی متون شناسایی شدند و پرسشنامهای که توسط محقق تهیه شده بود، بین مدیران، متخصصان داده و کارکنان فناوری اطلاعات در مرکز همکاریهای تحول و پیشرفت توزیع شد. دادهها با استفاده از آزمونهای فریدمن، اسپیرمن، من-ویتنی و کروسکال-والیس در نرمافزار SPSS تجزیه و تحلیل شدند. یافتهها: ده مؤلفه سیاستگذاری حاکمیت داده بر اساس چارچوب انجمن مدیریت داده شناسایی شدند. مدلسازی و طراحی داده به عنوان بزرگترین فرصت و مهمترین چالش شناسایی شد. هفت مؤلفه وضعیت فرصت مطلوبی را نشان دادند، در حالی که سه مؤلفه نسبتاً مطلوب بودند. در مورد چالشها، هفت مؤلفه نامطلوب و دو مؤلفه نسبتاً مطلوب بودند. همبستگیهای معناداری بین همه مؤلفهها یافت شد، در حالی که متغیرهای جمعیتشناختی هیچ تأثیر معناداری نداشتند. بحث: مدلسازی و طراحی داده به دلیل نقش دوگانه خود، به بالاترین اولویت سیاستگذاری نیاز دارد. مؤلفههایی که فرصتهای مطلوبی دارند باید تقویت شوند، در حالی که مؤلفههایی که در شرایط نسبتاً مطلوبی هستند باید قبل از پرداختن به نقاط ضعف بحرانیتر بهبود یابند. روابط قوی بین مؤلفهها، نیاز به سیاستگذاری هماهنگ را برجسته میکند. نتیجهگیری: شناسایی فرصتها و چالشهای سیاستگذاری حاکمیت داده، نقشه راهی برای مؤسسات دولتی فراهم میکند. یک مدل سیاستگذاری یکپارچه که همزمان فرصتها را تقویت، چالشها را کاهش و تعاملات بین همه مؤلفهها را در نظر میگیرد، میتواند عملکرد سازمانی را بهبود و از حاکمیت داده مؤثرتر پشتیبانی کند. | ||
| کلیدواژهها | ||
| حکمرانی داده؛ سیاستگذاری حکمرانی داده؛ فرصتهای سیاستگذاری حکمرانی داده؛ چالشهای سیاستگذاری حکمرانی داده؛ معاونت علمی؛ فناوری و اقتصاد دانشبنیان ریاستجمهوری | ||
| عنوان مقاله [English] | ||
| Opportunities and Challenges of Data Governance Policy-Making in the Vice Presidency for Science, Technology and Knowledge-Based Economy | ||
| نویسندگان [English] | ||
| Zahra Faghihi1؛ Nastaran Poursalehi2؛ Alireza Noruzi2 | ||
| 1Department of Information Science and Knowledge Management, Faculty of Public Administration and Organizational Science, College of Management, University of Tehran, Tehran, Iran | ||
| 2Department of Information Science and Knowledge Management, Faculty of Public Administration and Organizational Science, College of Management, University of Tehran, Tehran, Iran | ||
| چکیده [English] | ||
| Purpose: This study identifies and prioritizes the opportunities and challenges of data governance policymaking within the Iranian Vice Presidency for Science, Technology, and Knowledge-Based Economy. Methodology: A quantitative survey was conducted. Data governance components were identified through a literature review, and a researcher-developed questionnaire was distributed among managers, data specialists, and information technology staff at the Center for Transformation and Progress Cooperation. Data were analyzed using the Friedman, Spearman, Mann–Whitney, and Kruskal–Wallis tests in SPSS. Results: Ten data governance policymaking components were identified based on the Data Management Association (DAMA) framework. Data modeling and design was identified as both the greatest opportunity and the most significant challenge. Seven components showed favorable opportunity status, whereas three were relatively favorable. For challenges, seven components were unfavorable and two were relatively favorable. Significant correlations were found among all components, while demographic variables had no significant effects. Discussion: The findings indicate that data modeling and design requires the highest policy priority because of its dual role. Components with favorable opportunities should be reinforced, whereas those in relatively favorable condition should be improved before addressing more critical weaknesses. The strong relationships among components highlight the need for coordinated policymaking. Conclusion: Identifying the opportunities and challenges of data governance policymaking provides a roadmap for governmental institutions. An integrated policy model that simultaneously strengthens opportunities, mitigates challenges, and considers interactions among all components can improve organizational performance and support more effective data governance. | ||
| کلیدواژهها [English] | ||
| data governance, data governance policy‑making, policy‑making, opportunities and challenges of data governance policy‑making, Vice Presidency for Science, Technology and Knowledge‑Based Economy | ||
| مراجع | ||
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