大数据分析能力:基于工具内容分析的新型综合健身框架

IF 3.9 4区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Enterprise Information Systems Pub Date : 2021-06-11 DOI:10.1080/17517575.2021.1939427

Sunil Pathak, Venkataraghavan Krishnaswamy, Mayank Sharma

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引用次数: 9

摘要

摘要大数据分析能力（BDAC）是企业利用大数据产生商业价值的能力。公司要么通过“做正确的事情”来关注“功能适应性”，要么通过“做出正确的事情来关注“进化适应性”。现有文献显示，BDAC维度不一致，缺乏一个同时解决功能和进化适应度的综合框架。我们通过对BDAC文献的基于工具的定性分析来解决这一问题，并提出了一个以能力为中心的适应度框架。在这样做的过程中，我们研究了企业架构的关键作用，并提出了基于TOGAF的机制来解决BDAC的功能和进化适应度维度之间的一致性问题。

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

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 BDAC’s functional and evolutionary fitness dimensions.

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来源期刊

Enterprise Information Systems 工程技术-计算机：信息系统

CiteScore

11.00

自引率

6.80%

发文量

审稿时长

6 months

期刊介绍： Enterprise Information Systems (EIS) focusses on both the technical and applications aspects of EIS technology, and the complex and cross-disciplinary problems of enterprise integration that arise in integrating extended enterprises in a contemporary global supply chain environment. Techniques developed in mathematical science, computer science, manufacturing engineering, and operations management used in the design or operation of EIS will also be considered.