Facilitating artificial intelligence powered supply chain analytics through alliance management during the pandemic crises in the B2B context

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

Standard

Facilitating artificial intelligence powered supply chain analytics through alliance management during the pandemic crises in the B2B context. / Dubey, R; Bryde, D J; Blome, Constantin et al.
In: Industrial Marketing Management, Vol. 96, 01.07.2021, p. 135-146.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Dubey, R, Bryde, DJ, Blome, C, Roubaud, D & Giannakis, M 2021, 'Facilitating artificial intelligence powered supply chain analytics through alliance management during the pandemic crises in the B2B context', Industrial Marketing Management, vol. 96, pp. 135-146. https://doi.org/10.1016/j.indmarman.2021.05.003

APA

Dubey, R., Bryde, D. J., Blome, C., Roubaud, D., & Giannakis, M. (2021). Facilitating artificial intelligence powered supply chain analytics through alliance management during the pandemic crises in the B2B context. Industrial Marketing Management, 96, 135-146. https://doi.org/10.1016/j.indmarman.2021.05.003

Vancouver

Dubey R, Bryde DJ, Blome C, Roubaud D, Giannakis M. Facilitating artificial intelligence powered supply chain analytics through alliance management during the pandemic crises in the B2B context. Industrial Marketing Management. 2021 Jul 1;96:135-146. Epub 2021 May 23. doi: 10.1016/j.indmarman.2021.05.003

Author

Dubey, R ; Bryde, D J ; Blome, Constantin et al. / Facilitating artificial intelligence powered supply chain analytics through alliance management during the pandemic crises in the B2B context. In: Industrial Marketing Management. 2021 ; Vol. 96. pp. 135-146.

Bibtex

@article{1ace840505764db1bf52d413caca6df3,

title = "Facilitating artificial intelligence powered supply chain analytics through alliance management during the pandemic crises in the B2B context",

abstract = "The COVID-19 pandemic has disrupted global supply chains and exposed weak links in the chains far beyond what most people have witnessed in their living memory. The scale of disruption affects every nation and industry, and the sudden and dramatic changes in demand and supply that have occurred during the pandemic crisis clearly differentiate its impact from other crises. Using the dynamic capabilities view, we studied alliance management capability (AMC) and artificial intelligence (AI) driven supply chain analytics capability (AI-SCAC) as dynamic capabilities, under the moderating effect of environmental dynamism. We tested our four research hypotheses using survey data collected from the Indian auto components manufacturing industry. For data analysis we used Warp PLS 7.0 (a variance-based structural equation modelling tool). We found that alliance management capability under the mediating effect of artificial intelligence-powered supply chain analytics capability enhances the operational and financial performance of the organization. Moreover, we also observed that the alliance management capability has a significant effect on artificial intelligence-powered supply chain analytics capability under the moderating effect of environmental dynamism. The results of our study provide a nuanced understanding of the dynamic capabilities and the relational view of organization. Finally, we noted the limitations of our study and provide numerous research directions that may help answer some of the questions that arise from our study.",

keywords = "Alliance management, Artificial intelligence, Dynamic capability view, Environmental dynamism, Supply chain analytics",

author = "R Dubey and Bryde, {D J} and Constantin Blome and D Roubaud and M Giannakis",

year = "2021",

month = jul,

day = "1",

doi = "10.1016/j.indmarman.2021.05.003",

language = "English",

volume = "96",

pages = "135--146",

journal = "Industrial Marketing Management",

issn = "0019-8501",

publisher = "Elsevier Inc.",

}

RIS

TY - JOUR

T1 - Facilitating artificial intelligence powered supply chain analytics through alliance management during the pandemic crises in the B2B context

AU - Dubey, R

AU - Bryde, D J

AU - Blome, Constantin

AU - Roubaud, D

AU - Giannakis, M

PY - 2021/7/1

Y1 - 2021/7/1

N2 - The COVID-19 pandemic has disrupted global supply chains and exposed weak links in the chains far beyond what most people have witnessed in their living memory. The scale of disruption affects every nation and industry, and the sudden and dramatic changes in demand and supply that have occurred during the pandemic crisis clearly differentiate its impact from other crises. Using the dynamic capabilities view, we studied alliance management capability (AMC) and artificial intelligence (AI) driven supply chain analytics capability (AI-SCAC) as dynamic capabilities, under the moderating effect of environmental dynamism. We tested our four research hypotheses using survey data collected from the Indian auto components manufacturing industry. For data analysis we used Warp PLS 7.0 (a variance-based structural equation modelling tool). We found that alliance management capability under the mediating effect of artificial intelligence-powered supply chain analytics capability enhances the operational and financial performance of the organization. Moreover, we also observed that the alliance management capability has a significant effect on artificial intelligence-powered supply chain analytics capability under the moderating effect of environmental dynamism. The results of our study provide a nuanced understanding of the dynamic capabilities and the relational view of organization. Finally, we noted the limitations of our study and provide numerous research directions that may help answer some of the questions that arise from our study.

AB - The COVID-19 pandemic has disrupted global supply chains and exposed weak links in the chains far beyond what most people have witnessed in their living memory. The scale of disruption affects every nation and industry, and the sudden and dramatic changes in demand and supply that have occurred during the pandemic crisis clearly differentiate its impact from other crises. Using the dynamic capabilities view, we studied alliance management capability (AMC) and artificial intelligence (AI) driven supply chain analytics capability (AI-SCAC) as dynamic capabilities, under the moderating effect of environmental dynamism. We tested our four research hypotheses using survey data collected from the Indian auto components manufacturing industry. For data analysis we used Warp PLS 7.0 (a variance-based structural equation modelling tool). We found that alliance management capability under the mediating effect of artificial intelligence-powered supply chain analytics capability enhances the operational and financial performance of the organization. Moreover, we also observed that the alliance management capability has a significant effect on artificial intelligence-powered supply chain analytics capability under the moderating effect of environmental dynamism. The results of our study provide a nuanced understanding of the dynamic capabilities and the relational view of organization. Finally, we noted the limitations of our study and provide numerous research directions that may help answer some of the questions that arise from our study.

KW - Alliance management

KW - Artificial intelligence

KW - Dynamic capability view

KW - Environmental dynamism

KW - Supply chain analytics

U2 - 10.1016/j.indmarman.2021.05.003

DO - 10.1016/j.indmarman.2021.05.003

M3 - Journal article

VL - 96

SP - 135

EP - 146

JO - Industrial Marketing Management

JF - Industrial Marketing Management

SN - 0019-8501

ER -

Research

Links

Text available via DOI:

Keywords