Research on the Impact of Big Data Analysis Capability on Enterprise Supply Chain Resilience

Zhang Luyu

doi:doi:10.11648/j.ijefm.20231101.14

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Research on the Impact of Big Data Analysis Capability on Enterprise Supply Chain Resilience

Zhang Luyu

Published in International Journal of Economics, Finance and Management Sciences (Volume 11, Issue 1)

Received: 10 January 2023 Accepted: 30 January 2023 Published: 6 February 2023

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Abstract

Based on the current economic environment and from the perspective of dynamic capability, this paper divides big data analysis capability into big data perception capability, big data capture capability and big data transformation capability, and divides supply chain ambidexterity into supply chain agility and supply chain adaptability. A questionnaire survey was used to quantify the impact of big data analysis capability (BDAC) on supply chain elasticity (SC-RE). A total of 300 questionnaires were distributed to managers of supply chain nodes of enterprises, and 217 valid questionnaires were obtained. The regression results of questionnaire data showed that BDAC was positively correlated with SC-RE. Supply chain duality (SC-AM) is positively correlated with SC-RE. SC-AM plays a partial mediating role in the positive effect of BDAC on SC-RE. Based on the regression results of this paper and the research results of existing scholars, the corresponding conclusions are drawn, and some suggestions are put forward for enterprise managers. BDAC is an effective way to improve the performance level and competitive strength of supply chain enterprises. Enterprises should attach importance to the useful information contained in big data, take certain measures to enhance BDAC, improve the information processing capacity and speed of enterprises, reduce the probability of risk occurrence, so as to improve the supply chain resilience of enterprises and improve the level of supply chain risk management.

Published in	International Journal of Economics, Finance and Management Sciences (Volume 11, Issue 1)
DOI	10.11648/j.ijefm.20231101.14
Page(s)	25-30
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2023. Published by Science Publishing Group

Keywords

Big Data Analysis Capability (BDAC), Supply Chain Resilience (SC-RE), Supply Chain Ambidexterity (SC-AM), Dynamic Capability

References

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[8]	Pettit, Timothy Croxton, Keely Fiksel, Joseph. (2013) Ensuring Supply Chain Resilience: Development and Implementation of an Assessment Tool. [J] Journal of Business Logistics. 34. DOI: 10.1111/jbl.12009.
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[12]	Sun Xin-bo, Qian Yu, Zhang Ming-chao, Li Jin-zhu (2019). Big data the mechanism of realizing the enterprise supply chain agility research [J]. Management world, 35 (9): 133-151 + 200. DOI: 10.19744/j.issn.11-1235/f2019.0123.
[13]	Xu De 'an, CAO Zhiqiang (2022). The impact of big data analysis capability and supply chain collaboration on retail enterprise performance [J]. Business Economics Research, 01: 38-41. DOI: 10.3969/j.issn.1002-5863.2022.01.009.
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APA Style

Zhang Luyu. (2023). Research on the Impact of Big Data Analysis Capability on Enterprise Supply Chain Resilience. International Journal of Economics, Finance and Management Sciences, 11(1), 25-30. https://doi.org/10.11648/j.ijefm.20231101.14

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ACS Style

Zhang Luyu. Research on the Impact of Big Data Analysis Capability on Enterprise Supply Chain Resilience. Int. J. Econ. Finance Manag. Sci. 2023, 11(1), 25-30. doi: 10.11648/j.ijefm.20231101.14

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AMA Style

Zhang Luyu. Research on the Impact of Big Data Analysis Capability on Enterprise Supply Chain Resilience. Int J Econ Finance Manag Sci. 2023;11(1):25-30. doi: 10.11648/j.ijefm.20231101.14

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@article{10.11648/j.ijefm.20231101.14,
  author = {Zhang Luyu},
  title = {Research on the Impact of Big Data Analysis Capability on Enterprise Supply Chain Resilience},
  journal = {International Journal of Economics, Finance and Management Sciences},
  volume = {11},
  number = {1},
  pages = {25-30},
  doi = {10.11648/j.ijefm.20231101.14},
  url = {https://doi.org/10.11648/j.ijefm.20231101.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijefm.20231101.14},
  abstract = {Based on the current economic environment and from the perspective of dynamic capability, this paper divides big data analysis capability into big data perception capability, big data capture capability and big data transformation capability, and divides supply chain ambidexterity into supply chain agility and supply chain adaptability. A questionnaire survey was used to quantify the impact of big data analysis capability (BDAC) on supply chain elasticity (SC-RE). A total of 300 questionnaires were distributed to managers of supply chain nodes of enterprises, and 217 valid questionnaires were obtained. The regression results of questionnaire data showed that BDAC was positively correlated with SC-RE. Supply chain duality (SC-AM) is positively correlated with SC-RE. SC-AM plays a partial mediating role in the positive effect of BDAC on SC-RE. Based on the regression results of this paper and the research results of existing scholars, the corresponding conclusions are drawn, and some suggestions are put forward for enterprise managers. BDAC is an effective way to improve the performance level and competitive strength of supply chain enterprises. Enterprises should attach importance to the useful information contained in big data, take certain measures to enhance BDAC, improve the information processing capacity and speed of enterprises, reduce the probability of risk occurrence, so as to improve the supply chain resilience of enterprises and improve the level of supply chain risk management.},
 year = {2023}
}

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TY  - JOUR
T1  - Research on the Impact of Big Data Analysis Capability on Enterprise Supply Chain Resilience
AU  - Zhang Luyu
Y1  - 2023/02/06
PY  - 2023
N1  - https://doi.org/10.11648/j.ijefm.20231101.14
DO  - 10.11648/j.ijefm.20231101.14
T2  - International Journal of Economics, Finance and Management Sciences
JF  - International Journal of Economics, Finance and Management Sciences
JO  - International Journal of Economics, Finance and Management Sciences
SP  - 25
EP  - 30
PB  - Science Publishing Group
SN  - 2326-9561
UR  - https://doi.org/10.11648/j.ijefm.20231101.14
AB  - Based on the current economic environment and from the perspective of dynamic capability, this paper divides big data analysis capability into big data perception capability, big data capture capability and big data transformation capability, and divides supply chain ambidexterity into supply chain agility and supply chain adaptability. A questionnaire survey was used to quantify the impact of big data analysis capability (BDAC) on supply chain elasticity (SC-RE). A total of 300 questionnaires were distributed to managers of supply chain nodes of enterprises, and 217 valid questionnaires were obtained. The regression results of questionnaire data showed that BDAC was positively correlated with SC-RE. Supply chain duality (SC-AM) is positively correlated with SC-RE. SC-AM plays a partial mediating role in the positive effect of BDAC on SC-RE. Based on the regression results of this paper and the research results of existing scholars, the corresponding conclusions are drawn, and some suggestions are put forward for enterprise managers. BDAC is an effective way to improve the performance level and competitive strength of supply chain enterprises. Enterprises should attach importance to the useful information contained in big data, take certain measures to enhance BDAC, improve the information processing capacity and speed of enterprises, reduce the probability of risk occurrence, so as to improve the supply chain resilience of enterprises and improve the level of supply chain risk management.
VL  - 11
IS  - 1
ER  -

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Author Information

Zhang Luyu

School of Business Administration, Guizhou University of Finance and Economics, Guiyang, China

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APA Style

Zhang Luyu. (2023). Research on the Impact of Big Data Analysis Capability on Enterprise Supply Chain Resilience. International Journal of Economics, Finance and Management Sciences, 11(1), 25-30. https://doi.org/10.11648/j.ijefm.20231101.14

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ACS Style

Zhang Luyu. Research on the Impact of Big Data Analysis Capability on Enterprise Supply Chain Resilience. Int. J. Econ. Finance Manag. Sci. 2023, 11(1), 25-30. doi: 10.11648/j.ijefm.20231101.14

Copy | Download

AMA Style

Zhang Luyu. Research on the Impact of Big Data Analysis Capability on Enterprise Supply Chain Resilience. Int J Econ Finance Manag Sci. 2023;11(1):25-30. doi: 10.11648/j.ijefm.20231101.14

Copy | Download

@article{10.11648/j.ijefm.20231101.14,
  author = {Zhang Luyu},
  title = {Research on the Impact of Big Data Analysis Capability on Enterprise Supply Chain Resilience},
  journal = {International Journal of Economics, Finance and Management Sciences},
  volume = {11},
  number = {1},
  pages = {25-30},
  doi = {10.11648/j.ijefm.20231101.14},
  url = {https://doi.org/10.11648/j.ijefm.20231101.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijefm.20231101.14},
  abstract = {Based on the current economic environment and from the perspective of dynamic capability, this paper divides big data analysis capability into big data perception capability, big data capture capability and big data transformation capability, and divides supply chain ambidexterity into supply chain agility and supply chain adaptability. A questionnaire survey was used to quantify the impact of big data analysis capability (BDAC) on supply chain elasticity (SC-RE). A total of 300 questionnaires were distributed to managers of supply chain nodes of enterprises, and 217 valid questionnaires were obtained. The regression results of questionnaire data showed that BDAC was positively correlated with SC-RE. Supply chain duality (SC-AM) is positively correlated with SC-RE. SC-AM plays a partial mediating role in the positive effect of BDAC on SC-RE. Based on the regression results of this paper and the research results of existing scholars, the corresponding conclusions are drawn, and some suggestions are put forward for enterprise managers. BDAC is an effective way to improve the performance level and competitive strength of supply chain enterprises. Enterprises should attach importance to the useful information contained in big data, take certain measures to enhance BDAC, improve the information processing capacity and speed of enterprises, reduce the probability of risk occurrence, so as to improve the supply chain resilience of enterprises and improve the level of supply chain risk management.},
 year = {2023}
}

Copy | Download

TY  - JOUR
T1  - Research on the Impact of Big Data Analysis Capability on Enterprise Supply Chain Resilience
AU  - Zhang Luyu
Y1  - 2023/02/06
PY  - 2023
N1  - https://doi.org/10.11648/j.ijefm.20231101.14
DO  - 10.11648/j.ijefm.20231101.14
T2  - International Journal of Economics, Finance and Management Sciences
JF  - International Journal of Economics, Finance and Management Sciences
JO  - International Journal of Economics, Finance and Management Sciences
SP  - 25
EP  - 30
PB  - Science Publishing Group
SN  - 2326-9561
UR  - https://doi.org/10.11648/j.ijefm.20231101.14
AB  - Based on the current economic environment and from the perspective of dynamic capability, this paper divides big data analysis capability into big data perception capability, big data capture capability and big data transformation capability, and divides supply chain ambidexterity into supply chain agility and supply chain adaptability. A questionnaire survey was used to quantify the impact of big data analysis capability (BDAC) on supply chain elasticity (SC-RE). A total of 300 questionnaires were distributed to managers of supply chain nodes of enterprises, and 217 valid questionnaires were obtained. The regression results of questionnaire data showed that BDAC was positively correlated with SC-RE. Supply chain duality (SC-AM) is positively correlated with SC-RE. SC-AM plays a partial mediating role in the positive effect of BDAC on SC-RE. Based on the regression results of this paper and the research results of existing scholars, the corresponding conclusions are drawn, and some suggestions are put forward for enterprise managers. BDAC is an effective way to improve the performance level and competitive strength of supply chain enterprises. Enterprises should attach importance to the useful information contained in big data, take certain measures to enhance BDAC, improve the information processing capacity and speed of enterprises, reduce the probability of risk occurrence, so as to improve the supply chain resilience of enterprises and improve the level of supply chain risk management.
VL  - 11
IS  - 1
ER  -

Copy | Download