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The objective of the article is to reveal the effects of the Covid-19 pandemic on the businesses in the European automotive sector, with a special focus on Central and Eastern Europe. The further objective is to identify how these effects relate to the ongoing transformational megatrends in the sector (digitalisation, electrification). Research Design & Methods:We have collected a large (>700 items) sample of relevant business decisions in the European automotive sector over four years (2017)(2018)(2019)(2020)(2021), including those taken especially due to the Covid-19 pandemic. In our research, we transformed our qualitative inputs into a quantitatively analysable database through coding. Then, we applied descriptive statistical analysis on the retrieved data combined with qualitative analysis of the contents behind these data. Findings: Based on our sample, our primary finding is that the Covid-19 pandemic does trigger the already existing trends of digitalisation and electrification in the European automotive sector. Very similar effects characterise the relatively less developed but deeply integrated Central and Eastern European periphery, although to a lesser extent. Obviously, the Covid-19 pandemic has induced numerous temporary business decisions, mainly plant closures. Layoffs occurred as well but these were not prevalent. Then, the second wave of the pandemic in early 2021 brought about the global shortage of semiconductor chips, which substantially affected the sector in Europe. Implications & Recommendations:The longer lasting impact of the short-term pandemic-related European automotive business decisions is yet to be explored. Nevertheless, the global shortage of semiconductor chips is already showing signs of influencing the industry over a longer time scale, in Europe as well. Forward-looking, future-oriented, and brave responses to the pandemic can well be the keys for businesses to successfully overcome the negative effects of the Covid-19 pandemic. Contribution & Value Added: Our sample of more than 700 items and a four-year-long timespan is in itself a unique collection of business decisions in the European automotive sector. In addition, by processing the inputs through coding, our sample becomes a treasury of potential information. In this article, we conduct an exploration along the events to which the decisions can be related, and along the decision types. We also look at the involvement of Central and Eastern Europe. Obviously, our ongoing primary research was ready to be extended to the firm level analysis of the effects of the Covid-19 pandemic, immediately upon its outburst.

Purpose – The purpose of this study is to assess how the recent financial and economic crisis has affected European Union (EU) member states’ ability to attract intellectual capital. The issue was found to be relevant, as one of the key elements of competitiveness today is the ability to attract intellectual capital and the question how the recent financial and economic crisis has changed this ability of EU member states can be asked. The question is relevant in relation to the diversity of effects that the crisis had on EU member states, including, the different levels of real economy adjustment constraints. Design/methodology/approach – The concept of competitiveness applied by the World Economic Forum (WEF) in constructing the Global Competitiveness Index (GCI) was used. Based on selected WEF GCI sub-indicators and the WEF’s methodology, we a new index named “Ability to attract intellectual capital” was generated. EU member states’ performance was compared along this indicator for the 2007-2008 (pre-crisis) and the 2013-2014 (post-crisis) periods. In this way, EU member states can be ranked before and after the crisis; their performance can be compared in the two periods, relatively to each other, and in relation to their performance along other relevant indices. Findings – The findings show interesting results. First, many peripheral EU member states, deeply affected by the crisis, could considerably improve their relative positions between 2007 and 2013. Second, the Central and Eastern Europe (CEE) countries show a rather mixed picture, drawing up rather different individual development paths. Third, the advancements in some countries do not imply that overall convergence is proceeding in the EU. Nevertheless, some countries have not wasted the “good” crisis to take those steps of structural reform. Research limitations/implications – Because we only look at two time periods (pre-and post-crisis), the authors are not able to describe the processes that were going on in the EU member states during the years of the crisis; the results can only show the difference between the two periods. Furthermore, there may be other methodological approaches to countries’ abilities to attract intellectual capital that may bring results different from this study’s results. For the countries who, according to our investigations, could improve these abilities, enhanced competitiveness is likely to occur in a few years’ time. Practical implications – For those countries aiming at improving their abilities to attract intellectual capital, or for EU policy design, this research may provide useful results. Moreover, not only this study’s results but also the methodology can be used by others, for other purposes: to compare different years, different sets of countries included in the WEF GCI or even along different dimensions. Social implications – This study’s research findings, the authors believe, will help EU member states and the EU as a whole in getting to know their abilities to attract intellectual capital better. In the introductory part of this paper, the aim was also to collect arguments from the economic theory to explain why such abilities are crucial for future competitiveness of countries. Originality/value – The methodology that was used is the adoption of WEF methodology, and the data are from the WEF GCI dataset. However, to the authors’s knowledge, no other research work has applied this methodology on this set of WEF GCI sub-indicators, with such purposes as to compare EU member states’ abilities to attract intellectual capital before and after the crisis.

The EU can be regarded as a club where integration is the main club good. For decades, club convergence applied; however, currently there is insufficient level of convergence. The club theory approach becomes increasingly significant with Brexit and the remaining EU-27 heading towards a multi-speed Europe. Overall, the economy of the EU constructs a complex system implying the existence of sub-systems: clubs within the club. Dynamism is an inherent feature of the system. There are outside effects as well as factors influencing the system from inside, many of the latter rooting in the various capitalism models of the member states. In this work we analyse how the varieties of capitalism is related to convergence and complexity in the EU. In this context, the EU is an entity interpreted as a dynamic complex system of clubs comprised by countries performing a variety of capitalism.

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