نوع مقاله : مقاله پژوهشی
نویسنده
دانشجوی دکتری آیندهپژوهی، دانشکده مدیریت راهبردی، دانشگاه عالی دفاع ملی، تهران، ایران
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسنده [English]
The aim of this study is to examine futures studies research based on the Causal Layered Analysis (CLA) method through a systematic review to provide a clear picture of this field. The CLA method, as one of the prominent approaches in futures studies, is known for its ability to deeply analyze phenomena and its functionality in creating alternative futures. Numerous studies across various domains have utilized this method. To identify relevant research for review, databases including "Comprehensive Humanities Portal," "Scientific Information Database (SID)," and "Google Scholar" were searched for the period from 2011 to 2023 (Iranian calendar years 1390–1402) using keywords such as "Causal Layered Analysis," "Layered Analysis," and "Causal Analysis." For international studies, databases such as Semantic Scholar, Emerald, ScienceDirect, and Google Scholar were searched from 2000 to 2023 using the keywords "CLA," "Causal Layered Analysis," and "Layered Analysis." This search resulted in the extraction of 173 works, including articles, theses, and scientific reports. After screening these works based on the criteria of "futures studies approach," "application of the CLA method," and "publication in reputable journals," 83 studies were selected. Key findings include: a "strong emphasis on social themes in domestic research," "prevalence of social, technological, and political themes in international research," "Australia, Finland, and Iran leading in the application of the CLA method," and "a significant number of international articles published in the journal Futures."
کلیدواژهها [English]
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