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Supply chain (SC) configuration has gained increased acceptance as an important issue when evaluating new customization possibilities and this evidence has contributed to the strengthening of the debate between global vs local production locations. This work contributes in enrichment of this topic by studying how local or global SC location decisions influence performances by considering a SC point of view, in terms of cost and time, in traditional and customized productions.

A discrete event simulation approach, based on experimentation through executable configurations, was used to evaluate different SC scenarios for customized as well as traditional products within the footwear industry.

The results indicated that to identify proper SC locations, existing trade-offs between the time and cost performances should be studied, avoiding the evaluation of a single performance independently and, instead, adopting a complete SC point of view while considering these performances.

This evidence has contributed to the reinforcement of the discussion between far-shore destinations vs near-shore production locations. Further studies are encouraged to adopt the present model, in which addition of other variables such as specific manufacturing competences to differentiate suppliers, both local and global suppliers, or the possibility of realizing special types of product customization required by final consumers can be done.

The paper contributes to the academic and practitioners' debate by proposing a systemic approach to assess SCs’ performances in customized contexts and to compare them to traditional collections. Results indicate that cost and time performance must find a balance that does not necessarily correspond to an exclusively local or global production.

This work contributes to the SC configuration issue by considering the trade-off between efficiency and effectiveness (i.e. SC costs and SC times) for customized productions by reviving and enriching it with an SC perspective in customization contexts.

The operational capability of mass customization (MC) allows consumers to obtain products tailored to their idiosyncratic needs. This study aims to provide insights into the potential of this capability for countering a product's liability of foreignness – the negative effect of the out-group status of a product's country of origin (COO) on consumers' evaluations of the product.

Based on the social identity approach, it is hypothesized that this liability is reduced when a consumer product is mass-customized rather than standardized as per a mass-production strategy. This hypothesis is tested using a mixed between- and within-subject experiment.

When evaluating mass-produced sneakers, native German-speaking (Italian-speaking) South Tyrolean consumers rated the quality of Italian (German) sneakers significantly lower than that of German (Italian) sneakers. However, when the sneakers were mass-customized, this difference in perceived product quality was non-significant for both groups of consumers, supporting the research hypothesis.

Future research could replicate this study in other samples, with other product types, COOs and countries of destination, as well as at different degrees of product customization.

Business-to-consumer firms contemplating the development of their MC capability are made aware that the benefits of this operational capability might go beyond the typical advantages highlighted by the existing literature.

This paper joins the discussion on MC value by offering a theoretical explanation and empirical support for another mechanism through which the operational capability of MC can create value, at least in business-to-consumer industries: by countering a product's possible liability of foreignness and thus increasing perceived product quality in export markets.

The use of modern technologies of the fourth industrial revolution, commonly known as “Industry 4.0” (I4.0), is believed to have considerable potential for product customisation. In this context, this paper aims to explore whether or not using these technologies impacts customer participation (CP) in a firm's new product development (NPD) process.

To empirically test the proposed relationships, the authors collected the North Italian manufacturing firms' data and applied regression analysis.

Empirical results indicate that, on the one hand, the technologies have their specific and individual impacts, and on the other hand, the firms which use more I4.0 technologies allow more customer participation in their product design and production process. This positive impact is more robust in product design than in the production process.

Managers aiming to benefit from CP should broaden the scope of adopting I4.0 technologies and consider different roles concerning the design and production phases of the new product development process. Recognising the importance and allowing CP in NPD will enable firms to meet the customised demands.

To the best of the authors' knowledge, the proposed relationships of this study have been extensively debated theoretically in the I4.0 context but never empirically tested before. It is one of the few studies which discusses the strategic adoption and the combined use of I4.0 technologies to create more opportunities for product customisation.

Studies about product customization decision are especially relevant for organizations that decide opening a subsidiary overseas. This scenario requires the company to decide which products should be customized and which products should be standardized when selling products in international markets. The main purpose of this paper is to identify which factors influence the decisions on the customization of industrial products and consumer products to a particular country in the marketing function of a global company.

To do so, a literature review was conducted addressing the following topics: internationalization, international marketing and product customization factors. With regard to methodological aspects, an initial qualitative phase was conducted with four exploratory case studies. In the quantitative phase, an online survey was developed, obtaining 123 records of an intentional non-probabilistic sample.

As a result, six factors were deemed essential to the product customization decision: customers’ characteristics, sustainable return on investment, sustainable profit, legal requirements, sales of other products in the portfolio and weather differences.

The authors expect that the results of this research contribute academically for the management knowledge about the meanings that product customization can assume in internationalized companies, and, additionally, in a business way, the authors expect that they help companies make strategic decisions on the appropriate measure to take regarding product customization in international markets, whether industrial products or consumer products. With these findings, the authors expect to make a valid contribution about product customization decision and suggesting future studies from other perspectives.

The emergence of distributed manufacturing (DM) is examined as a new form of localised production, distinct from previous manifestations of multi-domestic and indigenous production.

Supply network (SN) configuration and infrastructural provisioning perspectives were used to examine the literature on established localised production models as well as DM. A multiple case study was then undertaken to describe and explore the DM model further. A maximum variation sampling procedure was used to select five exemplar cases.

Three main contributions emerge from this study. First, the research uniquely brings together two bodies of literature, namely SN configuration and infrastructure provisioning to explore the DM context. Second, the research applies these theoretical lenses to establish the distinctive nature of DM across seven dimensions of analysis. Third, emerging DM design rules are identified and compared with the more established models of localised production, drawing on both literature and DM case evidence.

This study provides a rich SN configuration and infrastructural provisioning view on DM leading to a set of design rules for DM adoption, thus supporting practitioners in their efforts to develop viable DM implementation plans.

The authors contribute to the intra- and inter-organisational requirements for the emerging DM context by providing new perspectives through the combined lenses of SN configuration and infrastructural provisioning approaches.

This study aims to examine factors that determine the adoption of additive manufacturing by small- and medium-sized industries. It provides insights with regard to benefits, challenges and business factors that influence small- and medium-sized industries when adopting this technology. The study also aims to expand the domain of additive manufacturing by including a broader range of challenges and benefits of additive manufacturing in literature.

Using data collected from 175 small- and medium-sized industries, the study has examined through Mann–Whitney test to understand the difference between owners and design engineers on additive manufacturing technology adoption in small- and medium-sized companies.

This study suggests contribution to academic discussion by providing associated factors that have significant impact on the adoption of additive manufacturing technology. Related advantages of additive manufacturing are reduction in inventory cost, lowering the wastage in production and customization of products. The study also indicates that factors such as cost of machinery, higher level of cost in integrating metal components have a negative impact on the adoption of this technology in small- and medium-sized industries.

Because of the chosen research approach, the research results may lack generalizability. Therefore, researchers are encouraged to test the proposed propositions further in the field of challenges and growth in other areas of application of additive manufacturing, for instance, medical sciences, fabric and aerospace.

The study provides important implications that are of interest for both research and practitioners, related to technology management in small- and medium-sized industries, e.g. foundry and machining industries.

This work/study fulfills an identified need of the small- and medium-sized companies in adopting new technologies and contribute to their growth by understanding the need to accept and implement technology.

This paper fulfills an identified need to study how small- and medium-scale companies accept new technologies and factors associated with implementation in the manufacturing process of the organization.

This papers aims to study lattice structures in terms of geometric variables, manufacturing variables and material-based variants and their correlation with compressive behaviour for their application in a methodology for the design and development of personalized elastic therapeutic products.

Lattice samples were designed and manufactured using extrusion-based additive manufacturing technologies. Mechanical tests were carried out on lattice samples for elasticity characterization purposes. The relationships between sample stiffness and key geometric and manufacturing variables were subsequently used in the case study on the design of a pressure cushion model for validation purposes. Differentiated areas were established according to patient’s pressure map to subsequently make a correlation between the patient’s pressure needs and lattice samples stiffness.

A substantial and wide variation in lattice compressive behaviour was found depending on the key study variables. The proposed methodology made it possible to efficiently identify and adjust the pressure of the different areas of the product to adapt them to the elastic needs of the patient. In this sense, the characterization lattice samples turned out to provide an effective and flexible response to the pressure requirements.

This study provides a generalized foundation of lattice structural design and adjustable stiffness in application of pressure cushions, which can be equally applied to other designs with similar purposes. The relevance and contribution of this work lie in the proposed methodology for the design of personalized therapeutic products based on the use of individual lattice structures that function as independent customizable cells.

The purpose of this paper is to identify and describe the drivers of lean approaches and successful management of wearable technology start-ups. The paper is a descriptive study that employed a case study methodology based on semi-structured interviews with ten start-ups’ managers in Wearable Technology 2017 conference. Participants were selected based on convenience sampling and the pre-set criteria. The current study contributes to this field through the main findings, which suggest that four stages need to be considered by starts-up for a successful market readiness, including the time of entry and overcoming market entry barriers, product attributes, product development process, and commercialization. Finally, findings were categorized in the form of an iterative learning loop model and also, practical strategies and methods were recommended for successfully going through each stage.

The objective of this paper is to study the role of artificial intelligence (AI) in supporting the supplier scouting process, considering the information and the capabilities required to do so.

Twelve cases of IT and information providers offering AI-based scouting solutions were studied. The unit of analysis was the AI-based scouting solution, specifically the relationship between the provider and the buyer. Information processing theory (IPT) was adopted to address information processing needs (IPNs) and capabilities (IPCs).

Among buyers, IPNs in supplier scouting are high. IT and information providers can meet the needs of buyers through IPCs enabled by AI-based solutions. In this way, the fit between needs and capabilities can be reached.

The investigation of the role of AI in supplier scouting is original. The application of IPT to study the impact of AI in business processes is also novel. This paper contributes by investigating a phenomenon that is still unexplored and unconsolidated in a business context.

Since the outbreak of the Covid-19 pandemic, many restaurants and catering businesses have introduced or improved online food ordering and delivery services (OFODSs). This study aims to identify service quality expectations about OFODSs, to examine their content and to suggest management strategies to meet these expectations.

Adopting a qualitative method, four focus groups were conducted amongst Italian users of OFODSs.

The results reveal three dimensions of expectations, each comprising two categories that can be set along a continuum: (1) basicness of expectations (ranging from implicit to explicit), (2) accuracy of expectations (ranging from fuzzy to precise) and (3) attainability of expectations (ranging from realistic to unrealistic). Content may refer to technical, social, economic, legal and technological aspects. To meet customer expectations, the following strategies are suggested: customer reassurance, flexibility, continuous improvement, customer education, adaptation to customers' requirements and monitoring of exceptions.

This study provides specific activities in which restaurants and catering businesses could invest to enact the management strategies that emerged from the analysis.

This paper proposes a new classification of expectations and framework for improving OFODS quality by managing customer expectations.