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Recently, many firms have reshored manufacturing activities back to their home countries to increase customer perceptions of product quality. However, there is no evidence that relocating production to the home country improves customer-perceived quality. This study intends to address this gap by assessing the variations between pre- and post-reshoring product quality, as perceived by domestic customers.

Data were collected through a questionnaire, which used the case of an Italian fashion brand that had reshored its manufacturing from Romania to Italy as the stimulus. Two analyses of the collected data (n = 399) were conducted, applying both 2 × 2 × 2 factorial design and partial least squares–structural equation modelling (PLS–SEM) multigroup analysis.

Reshoring increased the level of perceived product quality only for customers that both were aware of the firm's past offshoring decision and had high levels of affective ethnocentrism. For all other customers, no significant variations between pre- and post-reshoring product quality were observed.

This study challenges previous findings, revealing that only a minor share of customers perceived products to be of higher quality after reshoring.

Increasing customer-perceived quality may not be a sufficient motivation to select the reshoring strategy. In addition, when announcing reshoring strategies, producers should appeal to customers' emotions and not use rational arguments about objective product quality.

This is the first study to assess variations between pre- and post-reshoring customer-perceived quality and to identify factors that explain such variations.

This paper investigates the suitability of fuzzy-logic-based support tools for initial screening of manufacturing reshoring decisions.

Two fuzzy-logic-based support tools are developed together with experts from a Swedish manufacturing firm. The first uses a complete rule base and the second a reduced rule base. Sixteen inference settings are used in both of the support tools.

The findings show that fuzzy-logic-based support tools are suitable for initial screening of manufacturing reshoring decisions. The developed support tools are capable of suggesting whether a reshoring decision should be further evaluated or not, based on six primary competitiveness criteria. In contrast to existing literature this research shows that it does not matter whether a complete or reduced rule base is used when it comes to accuracy. The developed support tools perform similarly with no statistically significant differences. However, since the interpretability is much higher when a reduced rule base is used and it require fewer resources to develop, the second tool is more preferable for initial screening purposes.

The developed support tools are implemented at a primary-criteria level and to make them more applicable, they should also include the sub-criteria level. The support tools should also be expanded to not only consider competitiveness criteria, but also other criteria related to availability of resources and strategic orientation of the firm. This requires further research with regard to multi-stage architecture and automatic generation of fuzzy rules in the manufacturing reshoring domain.

The support tools help managers to invest their scarce time on the most promising reshoring projects and to make timely and resilient decisions by taking a holistic perspective on competitiveness. Practitioners are advised to choose the type of support tool based on the available data.

There is a general lack of decision support tools in the manufacturing reshoring domain. This paper addresses the gap by developing fuzzy-logic-based support tools for initial screening of manufacturing reshoring decisions.

As focal firms in supply networks reflect on their experiences of the pandemic and begin to rethink their operations and supply chains, there is a significant opportunity to leverage digital technological advances to enhance socially responsible operations performance (SROP). This paper develops a novel framework for exploring the adoption of Industry 4.0 technologies for improving SROP. It highlights current best-practice examples and presents future research pathways.

This viewpoint paper argues how Industry 4.0 technology adoption can enable effective SROP in the post-COVID-19 era. Academic articles, relevant grey literature, and insights from industry experts are used to support the development of the framework.

Seven technologies are identified that bring transformational capabilities to SROP, i.e. big data analytics, digital twins, augmented reality, blockchain, 3D printing, artificial intelligence, and the Internet of Things. It is demonstrated how these technologies can help to improve three sub-themes of organisational social performance (employment practices, health and safety, and business practices) and three sub-themes of community social performance (quality of life and social welfare, social governance, and economic welfare and growth).

A research agenda is outlined at the intersection of Industry 4.0 and SROP through the six sub-themes of organisational and community social performance. Further, these are connected through three overarching research agendas: “Trust through Technology”, “Responsible Relationships” and “Freedom through Flexibility”.

Organisational agendas for Industry 4.0 and social responsibility can be complementary. The framework provides insights into how Industry 4.0 technologies can help firms achieve long-term post-COVID-19 recovery, with an emphasis on SROP. This can offer firms competitive advantage in the “new normal” by helping them build back better.

People and communities should be at the heart of decisions about rethinking operations and supply chains. This paper expresses a view on what it entails for organisations to be responsible for the supply chain-wide social wellbeing of employees and the wider community they operate in, and how they can use technology to embed social responsibility in their operations and supply chains.

Contributes to the limited understanding of how Industry 4.0 technologies can lead to socially responsible transformations. A novel framework integrating SROP and Industry 4.0 is presented.

This study aims to investigate the manufacturing reshoring decision-making content from an Eclectic Paradigm perspective.

Data were collected through a six-step systematic literature review on factors influencing manufacturing reshoring decision-making. The review is based on 100 peer-reviewed journal papers discussing reshoring decision-making contents published from 2009 to 2022.

In total, 80 decision factors were extracted and then categorized into resource-seeking (8%), market-seeking (11%), efficiency-seeking (41%) and strategic asset-seeking (16%) advantages. Additionally, 24% of these were identified as hybrid, which means that they were classified into multiple categories. Some decision factors were further identified as reshoring influencing factors (i.e. drivers, enablers and barriers).

Scholars need to consider what other theories can be used or developed to identify and evaluate the decision factors (determinants) of manufacturing reshoring as well as how currently adopted theory can be further advanced to create clearer and comprehensive theoretical frameworks.

This research underscores the importance of developing clearer and more comprehensive theoretical frameworks. For practitioners, understanding the multifaceted nature of decision factors could enhance strategic decision-making regarding reshoring initiatives.

To the best of the authors’ knowledge, this is the first study to investigate the value and practicality of the Eclectic Paradigm in categorizing factors in manufacturing reshoring decision-making content and presents in-depth theoretical classifications. In addition, it bridges the gap between decision factors and influencing factors in the decision-making content research realm.

Since its development by Tinbergen (1962), the gravity model of international trade has widely been applied to analyse the effect of various factors on trade relationships between countries. Past studies on trade gravity vary not only in the mix of model variables but also in how they have come into the analysis. This study reviews existing literature on bilateral trade with an aim to identify influential predictors such as changes of trade policy and national development strategy and highlight important yet understudied factors such as transport and logistics infrastructure, and sustainable development. To demonstrate the needs to examine these critical factors across industry sectors, the study presents the case of textiles and clothing (T&C) production and trade between China and its trading partners as an illustration. Through the literature review, it shows how the gravity model can be applied to address current issues in international trade arena such as the potential trade war between the US and China, China’s Belt and Road Initiative (BRI), and other important factors shaping global T&C trade. This study offers future research directions for analysis of global trade in the T&C industry and contributes to the wider literature of international business and trade.

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 paper investigates how sustainability requirements modify supply strategies at different levels in the food industry companies. The paper integrates single supply decisions into firm-level supply strategy and views supply strategy as one coherent strategy in which the decision-making is based on the values and principles of a firm.

The paper captures the decade of change and studies the renewal of supply strategy by utilising two qualitative data sets with a ten years of difference. The data contain 41 interviews from a retailer and 5 of its food supplier companies.

Results confirm that a decade ago only minor attention was channelled towards sustainability whereas today sustainability is a key driver behind supply decisions and supply strategies because firms need to respond to sustainability requirements and challenges. The study presents a framework for analysing different levels (firm, category and supply market levels) of changes and sustainability requirements faced by food companies and their supply strategies.

Previously, sustainability has rarely been connected to firm-level supply strategy. This study presents the supply strategy elements that were important for Finnish food industry companies over a decade ago and matches these elements to the needs of today’s firms. As a result, the study incorporates the concept of sustainability with the supply strategy frameworks.

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.

While localized small-series production is a significant opportunity, various tensions challenge implementation in high-cost contexts. This paper explores how managers view and respond to different tensions in small-series production implementation by adopting a paradox-based perspective.

The paper presents a multiple case study addressing small-series production within EU's apparel industry, as key context to address managerial awareness, and responses to tensions regarding location and supply network configuration decisions. Seven cases were selected for variation in customization and implementation (early/established), ownership, location and company size, to identity commonalities.

The study highlights performing tensions related to sustainability, and risk, in addition to confirming traditional goal-related tensions predominantly impacting small volume production. With on-demand/custom production, tensions include costs in conflict with process scale, and several process-related tensions (flexibility, expansion/development, risk management). Identified multidimensional responses do not include location or structural decisions, instead focusing on synthesis, through product-operations efficiency, knowledge development and process innovation and supply chain collaboration. Temporal separation is found with customization, including reducing product/process complexity short-term with enhancing process development, which suggests latent learning tensions and limited awareness.

Future research should address the extent to which tensions can be resolved or remain paradoxical, as well as dynamic decision-making and latent tensions.

The paper shows how paradox theory facilitates a deeper understanding of complex network configuration decisions, including reshoring/localization. The findings identify organizing tensions/elements and elaborate upon performing/performing-organizing tensions suggested with small-series production, location decisions and supply chain management.