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Big data use and its outcomes in supply chain context: the roles of information sharing and technological innovation

Hamza Saleem (School of Management, University of Science and Technology of China, Hefei, China)
Yongjun Li (School of Management, University of Science and Technology of China, Hefei, China)
Zulqurnain Ali (School of Management, University of Science and Technology of China, Hefei, China)
Muhammad Ayyoub (Department of Economics, University of Sahiwal, Sahiwal, Pakistan)
Yu Wang (School of Information Science and Engineering, Shandong Agriculture and Engineering University–Jinan Campus, Jinan, China)
Aqsa Mehreen (School of Public Affairs, University of Science and Technology of China, Hefei, China)

Journal of Enterprise Information Management

ISSN: 1741-0398

Article publication date: 19 August 2020

Issue publication date: 15 July 2021

1739

Abstract

Purpose

This paper aims to investigate the use of big data (BDU) in predicting technological innovation, supply chain and SMEs' performance and whether technological innovation mediates the association between BDU and firm performance. Additionally, this research also seeks to explore the moderating effect of information sharing in the association between BDU and technological innovation.

Design/methodology/approach

Using survey methods and structural associations in AMOS 24.0., the proposed model was tested on SME managers recruited from the largest economic and manufacturing hub of China, Pearl River Delta.

Findings

The findings suggest that BDU is positively related to technological innovation (product and process) and organizational outcomes (e.g., supply chain and SMEs performance). Technological innovation (i.e., product and process) significantly mediates the association between BDU and organizational outcomes. Moreover, information sharing positively moderates the association between BDU and technological innovations.

Practical implications

This research provides deeper insights into how BDU is useful for SME managers in achieving the firm’s goals. Particularly, SME managers can bring technological innovation into their business processes, overcome the challenges of forecasting, and generate dynamic capabilities for attaining the best SMEs’ performance. Additionally, BDU with information sharing enables SMEs reduce their risk and decrease production costs in their manufacturing process.

Originality/value

Firms always need to adopt new ways to enhance their productivity using available resources. This is the first study that contributes to big data and performance management literature by exploring the moderating and mediation mechanism of information sharing and technological innovation respectively using RBVT. The study and research model enhances our insights on BDU, information sharing, and technological innovation as valuable resources for organizations to improve supply chain performance, which subsequently increases SME productivity. This gap was overlooked by previous researchers in the domain of big data.

Keywords

Acknowledgements

We are thankful to the Editor, Associate Editor (specially prof Dr. Muhammad Kamal) and two anonymous reviewers for their supportive comments and suggestions to improve the earlier version of this manuscript.Conflict of interest: This research has no conflict of interest.

Citation

Saleem, H., Li, Y., Ali, Z., Ayyoub, M., Wang, Y. and Mehreen, A. (2021), "Big data use and its outcomes in supply chain context: the roles of information sharing and technological innovation", Journal of Enterprise Information Management, Vol. 34 No. 4, pp. 1121-1143. https://doi.org/10.1108/JEIM-03-2020-0119

Publisher

:

Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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