Business Analytics and Competitive Advantage: A Review and a Research Agenda

被引：38
|
作者：
Sharma, Rajeev [1 ]
Reynolds, Peter [1 ]
Scheepers, Rens [1 ]
Seddon, Peter B. [1 ]
Shanks, Graeme [1 ]
机构：
[1] Univ Melbourne, Dept Informat Syst, Melbourne, Vic 3010, Australia
来源：
BRIDGING THE SOCIO-TECHNICAL GAP IN DECISION SUPPORT SYSTEMS: CHALLENGES FOR THE NEXT DECADE | 2010年 / 212卷
关键词：
Business analytics; data warehouse; data analysis; performance gains; competitive advantage; dynamic capabilities; DYNAMIC CAPABILITIES; INFORMATION-SYSTEMS; KNOWLEDGE; PERFORMANCE; TECHNOLOGY; COMPLEXITY;
D O I：
10.3233/978-1-60750-577-8-187
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Business analytics has the potential to deliver performance gains and competitive advantage. However, a theoretically grounded model identifying the factors and processes involved in realizing those performance gains has not been clearly articulated in the literature. This paper draws on the literature on dynamic capabilities to develop such a theoretical framework. It identifies the critical roles of organizational routines and organization-wide capabilities for identifying, resourcing and implementing business analytics-based competitive actions in delivering performance gains and competitive advantage. A theoretical framework and propositions for future research are developed.
引用
收藏
页码：187 / 198
页数：12
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