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Big data management: implications of dynamic capabilities and data incubator

S.M. Riad Shams (Graduate School of Economics and Management, Ural Federal University, Yekaterinburg, Russian Federation)
Ludovico Solima (Department of Business, University Della Campania “L. Vanvitelli”, Napoli, Italy)

Management Decision

ISSN: 0025-1747

Article publication date: 2 April 2019

Issue publication date: 20 September 2019

784

Abstract

Purpose

Big data management research and practice, however, have received enormous interest from academia and industry; the extant literature demonstrates that the authors have limited understanding and challenges in this knowledge-stream to fully capitalize with its potentials. One of the contemporary challenges is to accurately verify data veracity, and developing value from the verified data for an organization and its stakeholders. Consequently, the purpose of this paper is to develop insights on how the authors could strategically deal with the contemporary challenges in strategic management of big data, related to data veracity and data value.

Design/methodology/approach

The inductive–constructivist approach is followed to develop insights at the intersection of dynamic capabilities theory and stakeholder relationship management concept, in order to strategically deal with the contemporary challenges in big data management, related to data veracity and data value.

Findings

At the intersection of dynamic capabilities theory and stakeholder relationship management concept, an implication is acknowledged, which has research and practical significance to strategically verify data source, its veracity and value. Following this implication, a framework of a data incubator is proposed to proactively develop insights on veracity and value of data. Empirical insights are also presented in this study to support this initial framework.

Practical implications

For future research in strategic management of big data, academics will have contextual understanding on the particular interconnected and interdependent attributes from dynamic capabilities and stakeholder relationship management research streams to further enhance the understanding on big data management. For practice, these insights will be useful for executives to focus on specific attributes of the proposed data incubator to confirm data veracity and develop insights on how to design, deliver and evaluate stakeholder value based on the verified data.

Originality/value

Following a synthesis at the intersection of dynamic capabilities theory and stakeholder relationship management concept, this study introduces a data incubator to meaningfully deal with the big data management challenges, related to veracity and value of data.

Keywords

Citation

Shams, S.M.R. and Solima, L. (2019), "Big data management: implications of dynamic capabilities and data incubator", Management Decision, Vol. 57 No. 8, pp. 2113-2123. https://doi.org/10.1108/MD-07-2018-0846

Publisher

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Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

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