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Big data for small and medium-sized enterprises (SME): a knowledge management model

Shouhong Wang (Charlton College of Business, University of Massachusetts Dartmouth, Dartmouth, Massachusetts, USA)
Hai Wang (Sobey School of Business, Saint Mary’s University, Halifax, Canada)

Journal of Knowledge Management

ISSN: 1367-3270

Article publication date: 21 April 2020

Issue publication date: 29 May 2020

4335

Abstract

Purpose

Big data has raised challenges and opportunities for business, the information technology (IT) industry and research communities. Nowadays, small and medium-sized enterprises (SME) are dealing with big data using their limited resources. The purpose of this paper is to describe the synergistic relationship between big data and knowledge management (KM), analyze the challenges and IT solutions of big data for SME and derives a KM model of big data for SME based on the collected real-world business cases.

Design/methodology/approach

The study collects eight well-documented cases of successful big data analytics in SME and conducts a qualitative data analysis of these cases in the context of KM. The qualitative data analysis of the multiple cases reveals a KM model of big data for SME.

Findings

The proposed model portrays the synergistic relationship between big data and KM. It indicates that strategic use of data, knowledge guided big data project planning, IT solutions for SME and new knowledge products are the major constructs of KM of big data for SME. These constructs form a loop through the causal relationships between them.

Research limitations/implications

The number of cases used for the derivation of the KM model is not large. The coding of these qualitative data could involve biases and errors. Consequently, the conceptual KM model proposed in this paper is subject to further verification and validation.

Practical implications

The proposed model can guide SME to exploit big data for business by placing emphasis on KM instead of sophisticated IT techniques or the magnitude of data.

Originality/value

The study contributes to the KM literature by developing a theoretical model of KM of big data for SME based on underlying dimensions of strategic use of data, knowledge guided big data project planning, IT solutions for SME and new knowledge products.

Keywords

Acknowledgements

The constructive comments of two anonymous reviewers have contributed significantly to the revision of the paper.

The second author is supported in part by the NSERC Discovery Grant RGPIN-2019-05787.

Citation

Wang, S. and Wang, H. (2020), "Big data for small and medium-sized enterprises (SME): a knowledge management model", Journal of Knowledge Management, Vol. 24 No. 4, pp. 881-897. https://doi.org/10.1108/JKM-02-2020-0081

Publisher

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Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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