作為對資料導向研究的反思與補充,強調意義開發的厚資料研究途徑於2013年被提出,國內外的相關研究至今仍在探索階段。本文以中國研究中的政治經濟議題作為例子,展示如何以厚資料研究途徑突破與研究對象相關之數據失真的問題。本文主張有意義的數據資料使用是立基於相關行動者的辨認之上,研究者必須能夠釐清兩個問題:形成數據資料趨勢的相關行動者是誰,以及相關行動者的利益與行為動機結構為何。後者將促使研究者將行動者行為之所以產生的脈絡帶入分析中,以此瞭解人類從事該行為的意義。
As a reflection and supplement to data-driven research, thick data was firstly proposed as a complementary method of using data to engage in mean- ing mining in 2013. Through the case of Chinese political economy, this ar- ticle demonstrates how the use of thick data enables researchers to overcome the problem of data distortion. It argues that meaningful use of data sources is based on the identification of actors. In order to do so, researchers are required to answer the following two questions: Who are the actors contributing to the tendency shown by the data? What are the interests and incentives of those actors? The second question necessitates an extensive analysis, which makes sense of human behavior in relation to the data we collect.
本文主要從日本政治經濟結構當中非正式制度的轉變來探討 1990 年之後日本經濟衰退的主要原因。在過去分析日本經濟衰退的原因大多是從國際層次與國內層次兩個面向來分析,在國際層次方面包括自由化的衝擊與日圓的急遽升值;在國內層次方面則包括政府主導模式的失調與規制緩和的調控,而這些面向主要焦點都集中在國際化與自由化的轉變對日本國內政經制度的衝擊,而忽略日本國內制度轉型的重要性。本文認為在過去這些文獻探討大多集中在日本正式制度的調整,而忽視非正式制度的存在與轉變。本文..
The goal of this paper is to explore the roots of Japanese economic recession in the 1990s from the transition of informal institutions in Japan. In the past, analysis of the Japanese economic recession in the 1990s was used to the aspect of international dimension and domestic dimension; focuses on the formal institutions such as political reform, fiscal reform, administrational reform, and financial reform, and neglected the changes of informal institutions. The argument of this paper bases on the fact that Japan has reform..
厚資料(thick data)這個名詞大約在 2013 到 2014 年間被創造出來。先在網路上流傳,後來出現在管理學的評論及期刊之中。一開始,這個詞的意思是強調「質化」方法的知識建構,多是從人類學的視角出發。但這並不新。其實,「厚」的核心內涵很早就在人類學中被運用,原稱叫作厚實描述(thick description),因此,現在使用「厚資料」一詞者,不少是從「厚描述」或「厚敘事」(thick descriptions)的人類學民族誌研究方法(ethnog..
As a reflection and supplement to data-driven research, thick data was firstly proposed as a complementary method of using data to engage in meaning mining in 2013. Through the case of Chinese political economy, this article demonstrates how the use of thick data enables researchers to overcome the problem of data distortion. It argues that meaningful use of data sources is based on the identification of actors. In order to do so, researchers are required to answer the following two questions: Who are the actors contributing to the tendency..
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