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

Dubey, Rameshwar; Bryde, David; Blome, Constantin; Roubaud, David; Giannakis, Mihalis

doi:10.1016/j.indmarman.2021.05.003

Cited by 127 publications

(113 citation statements)

References 131 publications

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“…Firstly, we show that the resource orchestration theory (ROT) is a robust and adherent approach ( Sirmon et al, 2011 ) for understanding and proving an adequate response by orchestrating the firm's resources in highly disruptions crises such as the COVID-19. Our proposed and validated model supported by the ROT advances the literature focused on disruptions ( Ambulkar et al, 2015 ; Yu et al, 2019 ), more specifically about the COVID-19 disruptions in O&SCM ( Dubey et al, 2021 ; El Baz and Ruel, 2021 ; Xiong et al, 2021 ). Thus, following the literature on supply chain resilience that reported the direct and indirect effects of supply chain alertness ( Shin and Park, 2021 ), our work found that supply chain alertness exerts direct and indirect effects in supply chain resilience considering highly disruptive scenarios.…”

Section: Discussionmentioning

confidence: 99%

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Supply chain resilience in the UK during the coronavirus pandemic: A resource orchestration perspective

Queiroz

Wamba

Jabbour

et al. 2022

International Journal of Production Economics

124

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The COVID-19 pandemic caused significant disruptions to global operations and supply chains. While the huge impact of the pandemic has nurtured important literature over the last couple of years, little is being said about the role of resource orchestration in supporting resilience in highly disruptive contexts. Thus, this study aims to this knowledge gap by proposing an original model to explore supply chain resilience (SCRE) antecedents, considering supply chain alertness (SCAL) as a central point to support resilience. This study focuses on the resource orchestration theory (ROT) to design a conceptual model. The partial least squares structural equation modeling (PLS-SEM) served to validate the model, exploring data from the UK supply chain decision-makers. The study reveals a number of both expected and unexpected findings. These include the evidence that supply chain disruption orientation (SCDO) has a strong positive effect on the SCAL. In addition, SCAL plays a strong positive effect in resource reconfiguration (RREC), supply chain efficiency (SCEF) and SCRE. We further identified a partial mediation effect of RREC on the relationship between SCAL and SCRE. Surprisingly, it appeared that SCAL strongly influences SCEF, while SCEF itself does not create any significant effect on SCRE. For managers and practitioners, the importance of resource orchestration as a decisive approach to adequately respond to huge disruptions is clearly highlighted by our results. Finally, this paper helps to grasp better how important resource orchestration in operations and supply chains remains for appropriate responses to high disruptions such as the COVID-19 impacts.

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Section: Discussionmentioning

confidence: 99%

“…Table 4 reports the non-response bias (NRB) by comparing the early and late respondents ( Armstrong and Overton, 1977 ; Pu et al, 2021 ; Um and Oh, 2020 ). We performed independent samples t -test ( Dubey et al, 2021 ). To perform the t -test, we used IBM SPSS v.27.…”

Section: Methodology Designmentioning

confidence: 99%

Supply chain resilience in the UK during the coronavirus pandemic: A resource orchestration perspective

Queiroz

Wamba

Jabbour

et al. 2022

International Journal of Production Economics

124

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“…Pandemics and epidemics may have severe impacts on manufacturing and industrial operations (Dubey et al 2021a ; Dwivedi et al 2020 ; Ivanov and Dolgui 2021 ; Wang and Wang 2021 ). Social distancing, remote work imposition and lockdowns are examples of the drivers for the adaptation of the manufacturing activities to a “new normal” (Belhadi et al 2021 ; Aldrighetti et al 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Analysis of the COVID-19 pandemic’s impacts on manufacturing: a systematic literature review and future research agenda

Ardolino¹,

Bacchetti

Ivanov

2022

Oper Manag Res

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The COVID-19 pandemic has affected manufacturing companies and necessitated adaptations of firms’ operations. Despite the increasing interest in this subject, a scarcity of systematic analysis can be observed. The present study systematically reviews the existing research on the COVID-19 pandemic concerning the manufacturing industry. This paper aims to highlight the main impacts of the COVID-19 pandemic on the manufacturing sector from the operations management perspective, the practical adaptation actions, and future research opportunities. Open research questions and directions for further investigation are articulated and triangulated across organisational, process and technology perspectives.

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“…Artificial intelligence (AI) is undoubtedly one of the most epoch-making innovations in contemporary history; it has probably contributed more than expected and accelerated the development of other industries and fields [6,7,21]. Artificial intelligence (AI) is intelligence that is performed by machines or software by thinking and behaving intelligently like humans [3,4,22]. Furthermore, when distinguishing between "humanity" and "rationality", artificial intelligence is differentiated into human performance and idea performance [1,23].…”

Section: What Is Artificial Intelligence (Ai)?mentioning

confidence: 99%

“…More concretely, artificial intelligence (AI) systems are designed to resemble the human brain, leading to the ability of deep learning. As a result, the system is capable of tasks such as self-driving, medical diagnosis, program coding, financial problems, fraud detection, market prediction, product recommendations, image classification, and language translation [3][4][5]. In recent years, with the further development of artificial intelligence, we have also witnessed and been surprised at how AI has become part of our popular culture.…”

Section: Introductionmentioning

confidence: 99%

Analyzing Determinants for Adoption of Intelligent Personal Assistant: An Empirical Study

Sun

2021

Applied Sciences

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With the accelerating advances in artificial intelligence (AI) technologies, the rising demand for the intelligent personal assistant is expected to rapidly increase in the following decades. As customer loyalty has become a critical element in gaining a competitive advantage and many marketers pay great attention to it, this research aims to explore the factors that directly affect customer loyalty toward the intelligent personal assistant. The main motivation is to investigate and identify the direct effects that variables such as customer innovativeness and perceived value have on customer loyalty. Additionally, both product knowledge and corporate image will be examined as moderators. The results obtained demonstrate that perceived value has a positive influence on customer loyalty. Furthermore, product knowledge moderates the influence of functional and hedonic innovativeness on customer satisfaction. The study’s main contributions provide a better understanding of customer loyalty. This research aims to be viewed as a specific guide to provide effective practices that companies should implement to help them reallocate resources appropriately and enhance customer value creation. The results indicate that the higher the level of customer perceived value, the better the customer loyalty will be. The findings represent that corporate image has a positive moderating effect on the influence of customer innovativeness on perceived value. This study draws on the outcomes of administrative suggestions and recommends a few observational strategies to improve the monetary administration in the intelligent personal assistant industry.

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

Cited by 127 publications

References 131 publications

Supply chain resilience in the UK during the coronavirus pandemic: A resource orchestration perspective

Supply chain resilience in the UK during the coronavirus pandemic: A resource orchestration perspective

Analysis of the COVID-19 pandemic’s impacts on manufacturing: a systematic literature review and future research agenda

Analyzing Determinants for Adoption of Intelligent Personal Assistant: An Empirical Study

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