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Managerial perspectives of big data analytics capability towards product innovation

Kar Hooi Tan (School of Technology Management and Logistics, Universiti Utara Malaysia, Sintok, Malaysia)

Strategic Direction

ISSN: 0258-0543

Article publication date: 14 August 2018

Issue publication date: 10 September 2018

2235

Abstract

Purpose

Although published research is limited to big data, some research focuses on the challenges that companies face in implementing big data projects. Specifically, in the field of information systems, researchers realize that the success of Big Data projects is not only the result of data and analytics tools and processes, but also includes broader aspects. To address this issue, people have come up with a perception of big data analytics capabilities, often defined as the ability of businesses to take advantage of data management, infrastructure, and talent to turn business into competencies.

Design/methodology/approach

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Findings

The relationship between analytics and organizational performance has been the subject of the extant research. Prior studies have highlighted the direct influence of analytics on organizational performance. For example, big data analytics capabilities are significantly correlated with market performance and operational performance. The mechanisms through which analytics affect organizations were also examined from various perspectives.

Practical implications

The paper provides strategic insights and practical thinking that have influenced some of the world’s leading organizations.

Originality/value

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Keywords

Citation

Tan, K.H. (2018), "Managerial perspectives of big data analytics capability towards product innovation", Strategic Direction, Vol. 34 No. 8, pp. 33-35. https://doi.org/10.1108/SD-06-2018-0134

Publisher

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Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

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