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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.

This article aims to contribute to the digital servitisation literature by investigating the interrelations amongst Industry 4.0 technologies, servitisation and the performance of manufacturing small and medium-sized enterprises (SMEs).

The research uses survey data drawn from 200 manufacturing SMEs operating in the metals and machinery sector in Italy.

The study shows that Industry 4.0 technologies – Internet of Things (IoT), advanced simulation, cloud computing and Big Data Analytics (BDA) – positively moderate the relationship between servitisation and the performance of SMEs.

The study supports the need for firm managers of manufacturing SMEs to align servitisation and technological investments, suggesting that the synergic deployment of Industry 4.0 technologies supports servitisation performance.

The study supports the need for firm managers operating in business-to-business contexts to align their technological investments and servitisation strategies, suggesting that the synergic deployment of these Industry 4.0 technologies empower the effectiveness of servitisation strategies in terms of performance achieved.

The study highlights the moderating role played by specific Industry 4.0 technologies in the servitisation–performance relationship, opening avenues for future research exploring the mechanisms that underpin this complex relationship.

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 contribution on the diffusion of Industry 4 (I4.0)-related knowledge in industrial districts (IDs). The main goal is to examine the dissemination of I4.0 knowledge, exploring the main mechanisms for its spreading and highlighting the main factors shaping such processes. Focus is on dissemination processes in IDs active in traditional industries, which could represent the “periphery” of I4.0 application context.

The methodology is qualitative. Notably, this paper presents a case study of the Pesaro ID specialized in furniture/woodworking machinery sector. A total of 18 in-depth one-to-one interviews have been conducted with relevant informants from a variety of organizations within the cluster: companies, institutions and universities.

The complexity of I4.0 requires a combination of traditional mechanisms with innovative ones within IDs characterized by the emergence of new players, activities and resources. These changes led to three main evolving patterns: the horizon of I4.0 upgrading shows blurred boundaries in terms of sectors and geographic location, the I4.0 diffusion appears fragmented in terms of initiatives and projects by both firms and institutions and the dissemination of I4.0 knowledge pushes ID firms and institutions to pursue deliberate initiatives leading to innovative forms of “collective” cooperation.

This paper contributes to both theory and practice. From the theoretical point of view, this paper contributes to the literature on innovation in IDs and clusters on two interrelated grounds. First, it provides further research on I4.0 and IDs and clusters. Second, it contributes to the stream of research on knowledge creation and diffusion in IDs and clusters, providing empirically based insights over emerging local learning processes in IDs. Moreover, relevant managerial and policy implications stem from the analysis.

This study aims to analyze the territory as a distinctive factor through which the concept and practice of “Made in Italy” operates. Specifically, the study considers the role of local and sub-national entrepreneurial collaborations that preserve and enhance factors such as history, style and talent as the essence of Italian “quality” and as the pillar of Italian territorial capitalism.

The research examines this Italian phenomenon by investigating small and medium enterprises (SMEs) that successfully compete abroad (and also in the domestic market) with a “glocal” approach, adopting the entrepreneurial formula of industrial districts.

The results indicate that international expansion is becoming increasingly more complex (as is every growth/development strategy) but that “glocalism” could represent a potential driver for the success of internationalization strategies. Specifically, for SMEs operating in industrial districts, territorial capitalism could emerge as a unique competitive factor, because it is a component of local structural capital and global reputational capital, as in the case of “Made in Italy.”

In an increasingly globalized market environment, many companies look to foreign markets to maintain and expand competitive advantage and business performance. Once the companies embark on this endeavor, organizations are involved in governing and managing these networks of finance, production and communication and the distribution-related relationships that constitute globalization. The push to engage in international development is currently imperative for SMEs, which need to extend their business engagement beyond conventional local markets and identify and exploit their distinctive competitive advantage to be able to succeed. One possible way of achieving this is the close interaction with the local territories in which these enterprises reside.

The existing literature expresses a strong need to develop tools that support the manufacturing reshoring decision-making process. This paper aims to examine the suitability of analytical hierarchy process (AHP)-based tools for initial screening of manufacturing reshoring decisions.

Two AHP-based tools for the initial screening of manufacturing reshoring decisions are developed. The first tool is based on traditional AHP, while the second is based on fuzzy-AHP. Six high-level and holistic reshoring criteria based on competitive priorities were identified through a literature review. Next, a panel of experts from a Swedish manufacturing company was involved in the overall comparison of the criteria. Based on this comparison, priority weights of the criteria were obtained through a pairwise analysis. Subsequently, the priority weights were used in a weighted-sum manner to evaluate 20 reshoring scenarios. Afterwards, the outputs from the traditional AHP and fuzzy-AHP tools were compared to the opinions of the experts. Finally, a sensitivity analysis was performed to evaluate the stability of the developed decision support tools.

The research demonstrates that AHP-based support tools are suitable for the initial screening of manufacturing reshoring decisions. With regard to the presented set of criteria and reshoring scenarios, both traditional AHP and fuzzy-AHP are shown to be consistent with the experts' decisions. Moreover, fuzzy-AHP is shown to be marginally more reliable than traditional AHP. According to the sensitivity analysis, the order of importance of the six criteria is stable for high values of weights of cost and quality criteria.

The limitation of the developed AHP-based tools is that they currently only include a limited number of high-level decision criteria. Therefore, future research should focus on adding low-level criteria to the tools using a multi-level architecture. The current research contributes to the body of literature on the manufacturing reshoring decision-making process by addressing decision-making issues in general and by demonstrating the suitability of two decision support tools applied to the manufacturing reshoring field in particular.

This research provides practitioners with two decision support tools for the initial screening of manufacturing reshoring decisions, which will help managers optimize their time and resources on the most promising reshoring alternatives. Given the complex nature of reshoring decisions, the results from the fuzzy-AHP are shown to be slightly closer to those of the experts than traditional AHP for initial screening of manufacturing relocation decisions.

This paper describes two decision support tools that can be applied for the initial screening of manufacturing reshoring decisions while considering six high-level and holistic criteria. Both support tools are applied to evaluate 20 identical manufacturing reshoring scenarios, allowing a comparison of their output. The sensitivity analysis demonstrates the relative importance of the reshoring criteria.