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Within the theoretical framework of global value chains (GVCs), much importance has been given to industrial districts (IDs) and their role as localized manufacturing systems. The regionalization of GVC has opened new questions on the location of manufacturing activities and the potential consequences at the ID level. The reshoring phenomenon challenges internationalization processes, changing the configuration in trade dynamics for IDs. This paper aims to investigate which are the main internationalization patterns followed by district small and medium enterprises (SMEs) under the perspective of the regionalization of GVCs. This will help both practitioners and policymakers to better understand internationalization trajectories aimed at sustaining the economic development of district firms and territories.

The analysis has been conducted using a survey carried out on 210 ID SMEs in the furniture, mechanics and fashion industries located in Veneto and Friuli Venezia Giulia regions, in northeastern Italy. Moreover, data released from the Italian Customs Agency have been merged to detect the trends of interviewed firms’ internationalization between 2005 and 2019.

The results highlight how the geography of internationalization has changed over time, in particular following the regionalization of the GVCs. There are also differences among the industry specializations of IDs. This could be attributable to the strategy pursued by each firm to control the competition both in the domestic market and abroad, also in relation to GVC lead firms’ location strategies.

This paper applies new data on the analysis of ID SMEs related to international transactions over a long period of time. In doing this, this paper adds new insights to the GVC literature and future policies to be implemented to foster the participation of district firms in the global scenario.

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 paper aims to analyze the characteristics and performance of university–industry (U-I) collaboration for knowledge transfer in relation to environmental sustainability, considering for both parties of the collaborations.

The study is explorative in nature, based on an original data set of more than 350 U-I research and consultancy contracts signed by more than 70 professors specializing in environmental sustainability-related academic disciplines at the University of Padova (Italy) for the period 2008-2012. A mixed-method approach is adopted. Social network analysis and regressions are used to explore the impact of U-I on performance considering for characteristics of the firms, the professors and the collaboration. Interviews with key informants at University of Padova is used to complement and validate the emerging evidence.

Results suggest that U-I positively impacts the performance of firms, but not of professors. Indeed, the hypothesis that professors’ performance (measures in terms of academic publications) is positively associated with academic engagement is not supported. On the contrary, firms’ financial performance is positively associated with U-I collaboration focused on knowledge transfer for environmental innovation; the higher the contracts activated the better the economic performance.

While most previous research has focused either on the university or the firm side of U-I, this study looks at both sides and focuses specifically on engagement in green contracts. The analysis of the geographical scope of U-I collaborations contributes to the growing body of literature by outlining geography’s role in U-I collaborations related to sustainability.

This paper aims to investigate the impact of Industry 4.0 (I4.0) technologies on knowledge creation for innovation purposes by assessing the relationships among the variety of I4.0 technologies adopted (breadth I4.0), the penetration of these technologies within the firm’s value chain activities (depth I4.0) and the mediating role of both internal (inter-functional (IF)) and external [with knowledge-intensive business services (KIBS)] collaborations in this process.

The study employed a quantitative research design. By administering a survey to entrepreneurs, chief operation officers or managers in charge of the operational and technological processes of Italian manufacturing firms, the authors collected 137 useful questionnaires. To test this study's theoretical framework and hypotheses, the authors ran regression and mediation analyses.

First, the results highlight the positive link between breadth I4.0 and depth I4.0. Moreover, the results show the key role played by increased collaboration among the firm’s business functions and by relationships with KIBS in creating knowledge to innovate processes and products when I4.0 technologies are adopted.

The variety of I4.0 technologies adopted enables a firm to use such technologies in various value chain activities. However, the penetration of I4.0 into the firm’s value chain activities (depth I4.0) does not per se directly imply the production of new knowledge, for which a firm needs internal collaboration among different business functions, in particular with the production area, or collaboration with external partners that favor I4.0 implementation, such as KIBS.

To achieve innovation goals by creating new knowledge, especially in the manufacturing industries, firms should encourage internal and external collaboration when I4.0 technologies are adopted. Moreover, policy makers should not only consider fiscal incentives for the adoption of such technologies, but also encourage the building of networks between adopting firms and external actors.

The study is one of the first attempt that provides empirical evidence of how I4.0 enables the creation of knowledge to innovate processes and products, highlighting the relevance of collaboration both within the company and with external partners.

The purpose of this paper is to analyze how important is co-location of R&D and production for firms originated from high-cost countries and to provide evidence of the relationship between the different strategies of location choices and co-location.

In order to investigate the relationship between R&D/design-production co-location and strategies of location choices for production, this paper uses a cluster analysis of 37 Italian firms that operate in fashion industry.

This article finds that co-location results in a dominant strategy for firms under the following conditions: high level of product customization, coordination difficulties between R&D and production, rapid change in production process technologies and product complexity difficult to be coded.

This paper presents some limitations in that it focuses only on fashion industry without considering other sectors.

This paper has some managerial implication in that offers some insight on decision making in organization. In particular offers some insights of how important is having an internal R&D/design function rather than collaborating with external designers in order to achieve competitive advantage in terms of product quality, product design and also brand name reputation.

This paper suggests that the co-location of R&D and production may improve the firms' performance considering the need for constant interaction between the two units. Moreover, it suggests that the co-location of R&D and production both within and external (within the firms' region and/or within the country) to the firms might be important. Furthermore, larger firms in terms of turnover have a greater preference to locate the R&D function close to the production function.

The paper refers to the framework of ambidexterity to explain the strategic paths of manufacturing SMEs in turbulent times, by investigating SMEs' strategic reaction to the COVID-19 pandemic.

The authors adopted an inductive approach methodology. Using a qualitative research method, Italian manufacturing SMEs in different industries were interviewed to outline how they have faced the negative effects of the COVID-19 by considering the strategies implemented during the pandemic.

The study identifies three ambidextrous strategies for manufacturing SMEs to positively overcome the COVID-19 crisis: (1) playing different roles within the same market (business-to-business and business-to-consumer) simultaneously, (2) simultaneous entrance and management of multiple markets and (3) exploiting manufacturing knowledge for exploring product and business model innovation (simultaneous learning processes).

Results enrich the theoretical discussion on ambidexterity and SMEs, by stressing the strategic dimension of ambidexterity and including a more fine-grained analysis of the different firm’ strategic paths in times of crisis.

The paper provides practical suggestions for manufacturing SMEs on how they can react during turbulent times and crises by implementing ambidextrous strategies also thanks to the use of digital technologies.

This paper contributes to outlining the conditions for SMEs' resilience in the international competitive context by highlighting the perspective of ambidexterity based on the analysis of multiple case studies from manufacturing industries.

This paper aims to explore if firms located in industrial districts (IDs) have different adoption paths concerning Industry 4.0 technologies and get different results with respect to other similar firms located outside IDs.

The study is based on a quantitative analysis related to an original data set of 206 Italian manufacturing firms specializing in made in Italy industries and adopting Industry 4.0 technologies. A case study of a district firm is also presented to explain the rationale of investment strategies and results obtained.

The analysis shows that there are differences between district and non-district firms when Industry 4.0 technology investments are concerned (higher investment rate in big data/cloud and augmented reality for district firms than non-district ones). In contrast to a breakthrough view of the fourth industrial revolution, the study suggests that 4.0 technologies emphasize the peculiarities and competitiveness factors typical of the district model in terms of customization and flexibility. There are differences in the motivations of adoption (product diversification for district firms vs productivity enhancement for non-district firms) and in the results achieved.

The paper is one of the first attempts to empirically explore the technological innovation paths related to Industry 4.0 within IDs, therefore, contributing to the debate on the possible evolution of the district model

This paper aims to provide a snapshot of various countries’ contributions to value produced along global value chains (GVCs). It focusses on manufacturing activities and their evolution over time, in the context of GVC regionalisation.

The Trade in Value Added (TiVA) and World Integrated Trade Solution databases for the period of 2005-2015 were used to explore the case of Italy and its industries’ specialisations (Made in Italy): fashion, furniture, automotive and machinery traditionally organised into clusters. Various analyses were used to show the dynamics of gross import–export and imported–exported value-added. Moreover, the revealed comparative advantage index was computed to test whether the Made in Italy sector remains a source of competitive advantage for Italy within GVCs.

The results highlight how the geography of value-added is changing over time, with growing importance placed on the countries close to Italy and with a different pace according to each considered GVC.

The paper applied new methods to compare trade and analyse value-added dynamics through a recent database released by the Organization for Economic Co-operation and Development within the TiVA initiative that is useful for scholars and policymakers.

Industry 4.0 technologies are promising to increase manufacturing companies' performance through the new knowledge that such digital technologies allow to create and manage within the firm boundaries and through customer interactions. Despite the great attention on the Industry 4.0 adoption paths, little is known about the relationships with previous waves of digital technologies, namely, information and communication technologies (ICTs), and how different groups of both types of technologies link to knowledge and its related performances.

The study employed a quantitative research design using a survey method. Submitting the questionnaire to entrepreneurs, chief operation officers or managers in charge of the operational and technological processes of Italian manufacturing firms, 206 respondents stated that their firm has adopted at least one of the seven Industry 4.0 technologies investigated.

The findings of the study highlight the positive relationship between ICT and Industry 4.0 technologies in terms of both intensity and groups of technologies (Web-based, Management and Manufacturing ICT; Operation, Customization and Data-processing 4.0), and how technologies affect knowledge-related performances in terms of products and processes, job-learning, product-related services and customer involvement.

This study is one of the first attempts to link groups of ICT to groups of Industry 4.0 technologies and to explore the effects in terms of knowledge-related performances as a measure of technology use. The study shows strong path dependency among ICT, Industry 4.0 and knowledge performance, enriching the literature on technological innovation and knowledge management.