Shocks, resilience and regional industry policy: Brexit and the automotive sector in two Midlands regions

Bailey, David; Ruyter, A. de; Hearne, David; McCann, Philip

doi:10.1080/00343404.2022.2071421

Cited by 12 publications

(5 citation statements)

References 36 publications

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“…Our research suggests that, overall, Midlands-based SMEs face extra costs (including transactions costssee Bailey, de Ruyter, Hearne, et al 2022;Bailey, de Ruyter, MacRae, et al 2022), delays and disruption in getting supplies to EU customers. In some cases, EU customers have started looking instead to EU-based suppliers, and in other cases, Midlands-based firms have opened or expanded operations in the EU.…”

Section: Introductionmentioning

confidence: 89%

“…Customs checks in particular have introduced delays at the UK-EU border for UK manufacturing firms, adding to costs and disrupting tightly interwoven supply chains. Manufacturers have found ways to mitigate risks such as delays, such as by stockpiling and/or changing supply or distribution routes, but such actions have brought higher costs, in turn impacting negatively on the competitiveness of UK manufacturing (Bailey, de Ruyter, Hearne, et al 2022;Bailey, de Ruyter, MacRae, et al 2022).…”

Section: Brexit Trade and Manufacturing: A Brief Summarymentioning

confidence: 99%

“…the costs of completing declarations) given that the EU has not waived customs checks. In this regard, there is an asymmetry that disadvantages British manufacturers; the latter have had to spend much time and money on complying with customs rules while EU competitors can still trade freely with the UK (Bailey, de Ruyter, Hearne, et al, 2022).…”

Section: Brexit Trade and Manufacturing: A Brief Summarymentioning

confidence: 99%

See 2 more Smart Citations

Brexit, Trade and UK Advanced Manufacturing Sectors: A Midlands' Perspective

et al. 2023

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Section: Introductionmentioning

confidence: 89%

Section: Brexit Trade and Manufacturing: A Brief Summarymentioning

confidence: 99%

Section: Brexit Trade and Manufacturing: A Brief Summarymentioning

confidence: 99%

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Brexit, Trade and UK Advanced Manufacturing Sectors: A Midlands' Perspective

et al. 2023

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“…The danger of component supply disruptions frequently presents a barrier to the automotive industry's pursuit of just-in-time production, which is intended to expedite manufacturing operations and cut costs [43,44]. A well-known automaker operating in this complex ecosystem used the suggested framework to improve the robustness of its supply chain and maximize its just-in-time production method.…”

Section: Automotive Industry: Just-in-time Production Optimizationmentioning

confidence: 99%

Predictive Analytics and Machine Learning for Real-Time Supply Chain Risk Mitigation and Agility

Aljohani

2023

Sustainability

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Supply chain agility has become a key success factor for businesses trying to handle upheavals and uncertainty in today’s quickly changing business environment. Proactive risk reduction is essential for achieving this agility. To facilitate real-time risk prevention and improve agility, this research study proposes an innovative strategy that makes use of machine learning as well as predictive analytics approaches. Traditional supply chain risk management frequently uses post-event analysis as well as historical data, which restricts its ability to address real-time interruptions. This research, on the other hand, promotes a futuristic methodology that uses predictive analytics to foresee possible disruptions. Based on contextual and historical data, machine learning models can be trained to find patterns and correlations as well as anomalies that point to imminent dangers. Organizations can identify risks as they arise and take preventative measures by incorporating these models into a real-time monitoring system. This study examines numerous predictive analytics methods, showing how they can be used to spot supply chain risks. These methods include time series analysis and anomaly detection as well as natural language processing. Additionally, risk assessment models are continuously improved and optimized using machine learning algorithms, assuring their accuracy and adaptability in changing contexts. This research clarifies the symbiotic relationship among predictive analytics and machine learning as well as supply chain agility using a synthesis of theoretical discourse and practical evidence. Case studies from various sectors highlight the usefulness and advantages of the suggested strategy. The advantages of this novel technique include improved risk visibility and quicker response times as well as the capacity to quickly modify operations. The development of a holistic framework that incorporates predictive analytics and machine learning into risk management procedures, setting the path for real-time risk identification as well as mitigation, is one of the theoretical contributions. On the practical side, the case studies offered in this paper show the actual benefits as well as the adaptability of the proposed approach across a wide range of businesses.

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“…On the other hand, 2018 is a key moment for the Brexit process, before the UK's procedures for leaving EU started. Even though the UK notified the EU of its withdrawal in 2017, the exit procedures actually started in 2019, after almost two years of negotiations (Oberhofer & Pfaffermayr, 2021;Bailey et al, 2023). Thus, we considered the period 2013-2018 so that the results are not biased by the responses from the individuals, companies and international institutions, engaged by the Brexit procedures.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Prospective Impact of Brexit on the Global Architecture of Power. A Multidimensional Approach Focusing on Uk and Eu

Aursulesei,

Maha,

Topliceanu

et al. 2024

Journal of Business Economics and Management

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Brexit has undeniably had effects on power relations in the world economy and beyond. This article aims to measure the dimensions of power for the European Union, the United States and the BRICS countries and to provide a case study about the prospective impact of Brexit on the EU’s and the UK’s positions within the global architecture of power. In this regard, the paper proposes a new method of measurement of the world power by using six dimensions of power, using data before the Brexit procedures started. The highlights of the empirical findings are that the exclusion of the UK has strengthened EU’s position only for the economic dimension of power, while for the UK, the most dominant repositioning within the power architecture due to the Brexit is recorded for the political & governance. The findings can contribute to raising awareness among policy–makers, companies, institutions and the population, both at European and at national level, about populist tendencies and attitudes towards potential separations of some member countries from the European community and their consequences for the European development from multiple perspectives.

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Shocks, resilience and regional industry policy: Brexit and the automotive sector in two Midlands regions

Cited by 12 publications

References 36 publications

Brexit, Trade and UK Advanced Manufacturing Sectors: A Midlands' Perspective

Brexit, Trade and UK Advanced Manufacturing Sectors: A Midlands' Perspective

Predictive Analytics and Machine Learning for Real-Time Supply Chain Risk Mitigation and Agility

Assessing the Prospective Impact of Brexit on the Global Architecture of Power. A Multidimensional Approach Focusing on Uk and Eu

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