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Scanning the macro-environment for liquid biofuels A comparative analysis from public policies in Brazil, United States and Germany

机译:扫描液态生物燃料的宏观环境来自巴西,美国和德国的公共政策的比较分析

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Purpose - Macro-environmental scanning is a first step in strategic planning, which is essential in an emerging industry such as liquid biofuels. The purpose of this paper is to identify the dimensions within which the governments of Brazil, the USA and Germany have constructed the macro-environment for liquid biofuels over time and to test for similarities between the governments' constructs. Design/methodology/approach - Documentary research was carried out on official public policies and program documents on the topic of liquid biofuels, covering a ten-year period from 1997 to 2006. The database consisted of 624 documents from the Brazilian government, 854 from the American government and 168 documents from the German government. Text mining was used to extract information from the texts by applying a specific analysis structure that was builton macro-environmental dimensions as expressed by their respective dimensional words "d-words". The "d-words" were selected based on their usage frequency in the knowledge fields related to each dimensioa Findings - The results indicate that the macro-environments for liquid biofuels, as configured by the governments under analysis, differ systematically and over time in their emphasis of specific macro-environmental dimensions. Originality/value - There are two primary aspects of this study which are original and valuable: the application of text-mining techniques as a tool for strategic planning and the development of a particular tool to extract knowledge from text documents and to categorize them according to their macro-environmental dimensions.
机译:目的-宏观环境扫描是战略规划的第一步,这对于液体生物燃料等新兴行业至关重要。本文的目的是确定随着时间的推移,巴西,美国和德国政府构建了液态生物燃料宏观环境的规模,并检验了政府架构之间的相似性。设计/方法/方法-对液态液体生物燃料的官方公共政策和计划文件进行了文献研究,涵盖了从1997年到2006年的十年。该数据库包括巴西政府的624份文件,巴西政府的854份文件。美国政府和德国政府的168份文件。文本挖掘用于通过应用特定的分析结构从文本中提取信息,该分析结构是建立在宏观环境维度上的,这些维度由它们各自的维词“ d-words”表示。根据与每个Dimensioa结果相关的知识领域中的使用频率来选择“ d-words”-结果表明,根据所分析的政府配置,液态生物燃料的宏观环境在其时间上存在系统性差异。强调特定的宏观环境维度。原创性/价值-这项研究的两个主要方面具有原创性和价值:将文本挖掘技术用作战略规划工具,以及开发一种从文本文档中提取知识并将其分类的特定工具。它们的宏观环境维度。

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