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政大機構典藏 > 商學院 > 資訊管理學系 > 期刊論文 > Item 140.119/72876

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题名:	Development Trends and Strategy Planning in Big Data Industry
作者:	Weng, Wei-Hsiu;Lin, Woo-Tsong 林我聰
贡献者:	資管系
关键词:	Big data;Industry Development;Nominal Group Technique;SWOT;Strategy
日期:	2014-09
上传时间:	2015-01-14 15:55:05 (UTC+8)
摘要:	Big data refers to technology for storing, converting, transmitting, and analyzing large quantities of structured or unstructured data, which may be dynamic and diversified d, for the purpose of social or commercial applications. Big data applications need to be able to undertake high-complexity and real-time analysis of vast amounts of data to help users make decision within the shortest possible timeframe. As a result, big data technology and the related industry are becoming ever more important. However, the scope, development trends, and possible strategy of big data industry have not been clearly addressed so far. To fill this gap, this paper presents a comprehensive assessment of the development trends and a systematic planning of business strategy in big data industry. The study utilizes nominal group technique (NGT), in-depth interviews, and focus group discussions among industry professionals. The research framework includes defining industry scope, assessing business environment by SWOT analysis, forecasting production value and growing trend, and outlining strategy for the emerging big data industry. The results provide a practical reference for vendors interested in entering the emerging big data market
關聯:	Contemporary Management Research, 10(3), 203-213
数据类型:	article
DOI 連結:	http://dx.doi.org/10.7903/cmr.12288
DOI:	10.7903/cmr.12288
显示于类别:	[資訊管理學系] 期刊論文

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