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The advantages of offshoring are increasingly under scrutiny, and coronavirus disease 2019 (COVID-19) has advanced the debate, calling for a redefinition of firms' production location strategies. While attention has primarily focused on the relocation of second-degree strategies, such as back-shoring, near-shoring and further offshoring, there are also other alternatives, including home country-based domestic product and process innovations, and the development of new business activities. The objective of the authors' paper is to identify which factors influence decision-makers when they select and implement such post-offshoring strategic alternatives.

The authors consider 11 Italian manufacturing companies that implemented these strategies and analyze triggers, drivers, enabling factors and barriers of the decision phase, as well as content, governance mode and timing of the implementation phase.

Based on the collected findings, the authors suggest a set of propositions for further research. First of all, firms can simultaneously manage multiple strategies by adopting an ambidextrous approach through which to mitigate supply chain risks. They may integrate their domestic and international production activities, but the home country remains central for innovations and production of high-end products and Industry 4.0 technologies increases the probability of investing in their home country. At the same time, lack of competence induces selective near- and back-shoring, while full back-shoring is mainly a consequence of managerial mistakes. Competence availability acts as a barrier to relocation in the home country, inducing the implementation of either an insourcing strategy or a combination of insourcing and outsourcing.

The authors' work identifies post-offshoring as a dynamic process and provides insights into the post-pandemic scenario. The conceptual framework may represent a useful tool for company managers in re-evaluating their initial offshoring strategies.

This study aims to draw on cue utilization and irradiation theories to: determine the extent to which country-of-origin image and its sub-dimensions exert an aggregate and relative influence on consumer brand evaluations; and identify the contextual and methodological factors that account for between-study variance in the focal relationship.

A random-effects model was used to examine 166 empirical articles encompassing 499,563 observations, and 282 effect sizes from 1984 to 2020 using Comprehensive Meta-Analysis software.

Results show that country-of-origin image has a positive, moderate effect on consumer brand evaluations. Moreover, findings reveal that each dimension of country-of-origin image – general country image, general product country image, specific product country image and partitioned country image – significantly influences consumer brand evaluation, but the effect of general product country image is the largest. What’s more, the aggregate impacts of country-of-origin image on consumer brand evaluation – brand commitment, brand-specific associations and general brand impressions – show that the effect on brand commitment is the largest. Finally, findings show that contextual factors (brand source, product sector, culture [individualism vs collectivism], brand origin continents and respondents’ continent) and methodological factors (cues, sampling unit, publication year and sample size) significantly account for between-study variance.

This study provides the first meta-analytic review of the relationship between country-of-origin image and consumer brand evaluation to help clarify mixed findings and balance out the literature, which has only seen quantitative reviews on product evaluation and purchase decisions.

This paper explores whether the Euro-area sovereign credit default swap market is prone to contagion effects. It investigates whether the sharp increase in sovereign CDS spread of a given country is due to a deterioration of the macroeconomic variables or some form of contagion.

For this purpose, the authors use an innovative approach, i.e. spatial econometrics. Although modeling spatial dependence is an attractive challenge, its application in the field of finance remains limited.

The empirical findings show strong evidence of spatial dependence highlighting the presence of pure contagion. Furthermore, evidence of wake-up call contagion-increased sensitivity of investors to fundamentals of neighboring countries and shift contagion-increased sensitivity to common factors are well recorded.

This study aims to study a crucial financial issue that gained increased research interest, i.e. financial contagion. A methodological contribution is made by extending the standard spatial Durbin model (SDM) to analyze and differentiate between several forms of contagion. The results can be used to understand how shocks are spreading through countries.