نوع مقاله : مقاله پژوهشی
نویسندگان
1 استاد، گروه مدیریت. دانشکده علوم اقتصادی و اداری. دانشگاه قم. قم. ایران
2 استاد، گروه مدیریت عملیات و علوم تصمیم، دانشکده مدیریت صنعتی و فناوری، دانشگاه تهران، تهران، ایران
3 دانشجوی کارشناسی ارشد، دانشکده علوم و اقتصاد اداری، دانشگاه قم، قم، ایران.
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
This study aims to design a model to enhance economic resilience with a focus on emerging technologies. In this research, two quantitative methods—fuzzy Delphi and cross-impact analysis—were employed to identify, refine, and evaluate the factors influencing economic resilience. Initially, through a systematic review of the literature and semi-structured interviews with 10 experts in the fields of economic resilience and emerging technologies, 26 primary factors were identified. Subsequently, these factors were refined using the fuzzy Delphi method, resulting in 11 factors with desirable fuzzy Delphi scores selected for final analysis. In the next phase, cross-impact analysis was applied to assess the degree of influence and interdependence among these factors to determine the most critical elements affecting economic resilience. This study is a multi-method quantitative and applied research, with purposive sampling of experts possessing at least ten years of relevant experience. The concurrent use of expert interviews and two types of questionnaires—expert evaluation and impact assessment—ensured the validity and reliability of the collected data. The findings revealed that the factors with the greatest impact on strengthening economic resilience include: “understanding macroeconomic trends for faster crisis response using big data,” “reducing contract execution costs and increasing trust in economic interactions through smart contracts,” “enhancing transparency and security in financial transactions via blockchain technology,” and “providing alternative financial instruments during crises through cryptocurrencies.” Additionally, other significant factors comprised improving the accuracy of economic forecasting through artificial intelligence, automating production with advanced robotics, and expanding access to financial services through fintech. The policy recommendations derived from the key influential factors emphasize the development of information technology infrastructure, enhancing financial transparency and security, facilitating contractual processes, and employing novel financial instruments in crisis situations.
کلیدواژهها [English]
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