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題名 Development Trends and Strategy Planning in Big Data Industry
作者 Weng, Wei-Hsiu;Lin, Woo-Tsong
林我聰
貢獻者 資管系
關鍵詞 Big data; Industry Development; Nominal Group Technique; SWOT; Strategy
日期 2014-09
上傳時間 14-Jan-2015 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
資料類型 article
DOI http://dx.doi.org/10.7903/cmr.12288
dc.contributor 資管系
dc.creator (作者) Weng, Wei-Hsiu;Lin, Woo-Tsong
dc.creator (作者) 林我聰zh_TW
dc.date (日期) 2014-09
dc.date.accessioned 14-Jan-2015 15:55:05 (UTC+8)-
dc.date.available 14-Jan-2015 15:55:05 (UTC+8)-
dc.date.issued (上傳時間) 14-Jan-2015 15:55:05 (UTC+8)-
dc.identifier.uri (URI) http://140.119.115.13/handle/140.119/72876-
dc.description.abstract (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
dc.format.extent 224605 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Contemporary Management Research, 10(3), 203-213
dc.subject (關鍵詞) Big data; Industry Development; Nominal Group Technique; SWOT; Strategy
dc.title (題名) Development Trends and Strategy Planning in Big Data Industry
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.7903/cmr.12288-
dc.doi.uri (DOI) http://dx.doi.org/10.7903/cmr.12288-