Architecting and Developing Big Data-Driven Innovation (DDI) in the Digital Economy

被引：71
|
作者：
Sultana, Saida [1 ]
Akter, Shahriar [1 ]
Kyriazis, Elias [1 ]
Wamba, Samuel Fosso [2 ]
机构：
[1] Univ Wollongong, Sch Business, Wollongong, NSW, Australia
[2] TBS Business Sch, Toulouse, France
来源：
JOURNAL OF GLOBAL INFORMATION MANAGEMENT | 2021年 / 29卷 / 03期
关键词：
Big Data; Big Data-Driven Innovation (DDI); Big Data Analytics; Stages in DDI; PRODUCT DEVELOPMENT; MARKET ORIENTATION; DYNAMIC CAPABILITIES; SERVICE DEVELOPMENT; CO-CREATION; ANALYTICS; INFORMATION; SYSTEMS; PERFORMANCE; MANAGEMENT;
D O I：
10.4018/JGIM.2021050107
中图分类号：
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号：
1205 ; 120501 ;
摘要：
To revamp with new creative age characterized by ongoing digital transformation, more and more industries are capitalizing on digital innovation for their sustainable business growth. Drawing on a systematic literature review, thematic analysis, and using the theories of dynamic capabilities and market orientation, this research scrutinizes a systematic process for developing analytics-based data-driven innovation (DDI). Findings suggest a standardized seven-step process for DDI, including product conceptualization, data acquisition, data refinement, data storage and retrieval, distribution, presentation, and market feedback.
引用
收藏
页码：165 / 187
页数：23
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