| Summary: | 碩士 === 國立中央大學 === 會計研究所企業資源規劃會計碩士在職專班 === 106 === Big data is the most intensively discussed topics today, organizations in all industries are large investing in big data initiatives. Big data analytics has become an important area of research in academia and industry because it has dramatically changed the way information are generated and used in decision making. Nevertheless, this emerging technology takes too much attention to technological aspects and has limited focus on other relevant organizational elements. Previous studies based on resource-based theory or information technology development has shown that organizations need to re-integrate resources that combine to build big data analytics. However, the operation based on organizational capabilities must be carried out by the organization, and the antecedent of this ability must be related to the nature of the organization. In the organization, the big data analytics team will perform this task. The structure and characteristics of the team, and the organization routine will influence the use of organizational capabilities. This study (1) uses Garner's four-level data analysis as a stage for measuring big data analysis, (2) identifies team structure, team characteristics and organization routine that in combination build a big data analytical capability.
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