Proceedings of the 2025 10th International Conference on Financial Innovation and Economic Development (ICFIED 2025)

A Study of Antecedent Grouping for Digital Transformation of Food Companies

Authors
Xianyun Wu1, Qian Li1, *, Chun Wan1
1Dallian Polytechnic University, Dalian, China
*Corresponding author. Email: 15515679660@163.com
Corresponding Author
Qian Li
Available Online 5 May 2025.
DOI
10.2991/978-94-6463-702-1_34How to use a DOI?
Keywords
digital transformation; food companies; configuration analysis
Abstract

The digital transformation of food enterprises is a general trend, which will inject new vitality into the development of the industry. It is of great significance to discuss how food enterprises realize digital transformation. This paper tries to construct the Technology-Organization-Environment framework from the group perspective, applying Necessary condition analysis and Qualitative comparative analysis of fuzzy sets, to explore the multiple driving modes of food enterprise multiple driving modes of digital transformation in food enterprises. The results show that, firstly, a single condition does not constitute a necessary condition for high digital transformation of food enterprises, and there are seven paths leading to high digital transformation of food enterprises, which confirms the problem of “different paths leading to the same destination”. There is no single optimal path for food companies to achieve a high level of digital transformation. The driving paths show both differences in the coupling of factors and the equivalence of effects. Second, investment in digital technology has a universal role in enhancing the digital transformation of enterprises. It appears as a core condition in all seven different condition groupings, which highlights its central driving role in the process of firms undergoing digital transformation.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 10th International Conference on Financial Innovation and Economic Development (ICFIED 2025)
Series
Advances in Economics, Business and Management Research
Publication Date
5 May 2025
ISBN
978-94-6463-702-1
ISSN
2352-5428
DOI
10.2991/978-94-6463-702-1_34How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Xianyun Wu
AU  - Qian Li
AU  - Chun Wan
PY  - 2025
DA  - 2025/05/05
TI  - A Study of Antecedent Grouping for Digital Transformation of Food Companies
BT  - Proceedings of the 2025 10th International Conference on Financial Innovation and Economic Development (ICFIED 2025)
PB  - Atlantis Press
SP  - 309
EP  - 315
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-702-1_34
DO  - 10.2991/978-94-6463-702-1_34
ID  - Wu2025
ER  -