[期刊论文][review]


Big data analytics capabilities: a novel integrated fitness framework based on a tool-based content analysis

作   者:
Sunil Pathak;Venkataraghavan Krishnaswamy;Mayank Sharma;

出版年:2023

页    码:暂无
出版社:Taylor And Francis


摘   要:

ABSTRACT Big data analytics capability (BDAC) is a firm’s ability to leverage big data for business value generation. Firms focus either on functional fitness by doing the things right, or evolutionary fitness by doing the right things. Extant literature shows inconsistency in BDAC dimensions and lacks an integrative framework that addresses both functional and evolutionary fitness. We address this through a tool-based qualitative analysis of BDAC literature and present a capability-centric fitness framework. In doing so, we examine the critical role of enterprise architecture and suggest TOGAF based mechanisms to address alignment issues between BDACs functional and evolutionary fitness dimensions.



关键字:

Big data analytics;big data analytics capabilities;enterprise architecture;TOGAF;functional fitness;evolutionary fitness


所属期刊
Enterprise Information Systems
ISSN: 1751-7575
来自:Taylor And Francis