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Acquiring supply chain agility through information technology capability: the role of demand forecasting in retail industry

Bingfeng Bai

Kybernetes

ISSN: 0368-492X

Article publication date: 10 August 2022

Issue publication date: 1 November 2023

838

Abstract

Purpose

Despite the importance of demand forecasting in retail industry, its influence on supply chain agility has not been sufficiently examined. From a total information technology (IT) capability perspective, the purpose of this paper is to examine the antecedent of supply chain agility through retail demand forecasting.

Design/methodology/approach

Combining the literature reviews, the quantitative method of algorithm analysis was targeted at, and the firm data were processed on MATLAB.

Findings

This paper summarizes IT dimensions of demand forecasting in retail industry and distinguishes the relationship of supply chain agility and demand forecasting from an IT capability view.

Practical implications

Managers can derive a better understanding and measurement of operating activities that appropriately balance among supply chain agility, IT capability and demand forecast practice. Demand forecasting should be integrated into the firm operations to determine the agility level of supply chain in marketplace.

Originality/value

This paper constructs new theoretical grounds for research into the relationship of demand forecasting-supply chain agility and provides an empirical assessment of the essential components for the means to prioritize IT-supply chain.

Keywords

Acknowledgements

The author would like to thank the anonymous referees for their comments and suggestions, as well as editor Sylvia Josphine and Professor Junjun Gao for the insightful remarks.

Ethics approval: The author confirms that all the research meets ethical guidelines and adheres to the legal requirements of the study country.

Consent for publication: The author confirms that any participant who may be identifiable through the manuscript have been given an opportunity to review the final manuscript and have provided written consent to publish.

Conflict of interest: The author declares that they have no conflict of interest. This article does not contain any studies with human participants or animals performed. Informed consent was obtained from all individual participants included in the study.

Corrigendum: It has come to the attention of the publisher that the article Bai, B. (2023), “Acquiring supply chain agility through information technology capability: the role of demand forecasting in retail industry”, Kybernetes, Vol. 52 No. 10, pp. 4712-4730. https://doi.org/10.1108/K-09-2021-0853, displays Bingfeng Bai's affiliation and correspondence details incorrectly. This error was introduced during the submission process. School of Management, Shanghai University, Shangda str. 99, Shanghai, PR, China has been corrected to School of Business, Jinling Institute of Technology, Nanjing, People's Republic of China, School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, People's Republic of China and Huishang Futures, Hefei, People's Republic of China. The author correspondence has been corrected to Bingfeng Bai, Ph.D., Department of Information Management, Shanghai University, 99 Shangda Road, Baoshan District, Shanghai, People's Republic of China. Email: baibingfeng003@163.com. The article also did not include important funding information. Funding: This work was supported by China Futures Association 17th Joint Research Project (2024370050), Anhui Huishang Futures Technology Center Incubation Project (HSQHBSHZ2023-02) and Jinling Institute of Technology High-level Talent Research Fund Project (JIT-B-202404). The authors sincerely apologise for this error and for any misunderstanding.

Citation

Bai, B. (2023), "Acquiring supply chain agility through information technology capability: the role of demand forecasting in retail industry", Kybernetes, Vol. 52 No. 10, pp. 4712-4730. https://doi.org/10.1108/K-09-2021-0853

Publisher

:

Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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