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Fashion products such as clothes, accessories, bags and footwear created using 3D printed technology are referred to as 3D printed fashion (3DPF) products. This study investigates consumers' motivation to purchase 3DPF products. In particular, this study adopts a multi-dimensional approach to explore the effects of personality-related traits such as innate, domain-specific and actualized innovativeness, as well as examine the effects of perceptions toward 3D printing technology (3DPT) (i.e. perceived security risk, performance expectancy). Based on the concepts of consumer innovativeness and the Unified Theory of Acceptance and Use of Technology (UTAUT), the authors expect the effects of consumers' innovativeness and perception of 3DPT and confirm its significant effects on a positive attitude toward 3DPF products and future purchase intention of 3DPF products.

A quantitative research design (i.e. survey) is utilized to examine the suggested relationships and application of existing theory in this study. All measurement items are adapted from previous literature and use a Likert-scale. The authors examined a total of 326 responses using a series of statistical analyses, including descriptive statistics, structural equation modeling and conditional process modeling.

The results of this study confirmed that innate and domain-specific innovativeness are critical antecedents of creating a positive attitude toward using 3DPF products through perceptions toward 3DPT. In addition, 3DPF innovativeness, as actualized innovativeness, was validated to strengthen the relationship between personal innovativeness and attitude, providing evidence that innovation-related traits can predict behaviors. Interestingly, technological innovativeness was not found to be a predictor of perceived security risk. It may be due that 3DPF products are still novel to consumers.

The study participants were people who were interested in technology, not consumers who had prior experience with using 3DPF products. Future studies are encouraged to include consumers who have actually purchased or used 3DPF products.

The findings of this study indicate that consumers' use of new technology is determined by personality and interest in specific product categories. Practitioners may use this information to segment/target consumer groups to introduce a new/unfamiliar product.

The findings of this study contribute to the existing literature on consumer adoption of innovation by combining two approaches, the hierarchy of consumer innovativeness and the UTAUT, in the context of advanced technology adoption behavior.

Researchers have paid little attention to elucidating how customer-perceived innovative apparel attributes are linked to brand reputation and consumer buying behaviors. This study intends to bridge that gap by providing empirical evidence on the effects of product novelty, product difference and product inimitability on brand reputation and behavioral intentions in the context of garment purchasing. We also investigate the moderating effects of self-congruity and value consciousness on the attribute‒brand reputation linkages, as well as their immediate influence on the domain variables.

The proposed model was estimated using data from a web-based survey of 299 female apparel customers. Structural equation modeling was employed to test the relationships between variables.

The results indicate that product novelty, product inimitability, self-congruity and value consciousness significantly influence brand reputation. The results also demonstrate that self-congruity, value consciousness and brand reputation have direct effects on behavioral intention, while self-congruity and value consciousness appear to moderate the relationship between innovative product attributes and brand reputation.

This study is the first to present a conceptual model that systematically encompasses product innovation, brand perceptions and behavioral links in the field of women's clothing. The findings have important implications for both academics and practitioners in the field of fashion marketing.

The purpose of this study is to explore consumer innovativeness as a personality trait and addresses the hedonic, social, cognitive and functional motivational elements that lie behind consumer innovativeness. It explores the weak relationship between consumer innovativeness and really new product (novel innovation) adoption and challenges the classic relationship between consumer learning, attitude and intention.

This study adopts a quantitative approach, gathering survey data via an institutional online platform. A total of 300 participants were recruited. Participants were directed to a website presenting the information of the product with the inclusion of 2D and 3D images and an avatar. For data analysis, CFA and structural equation modelling (SEM) were used.

Results indicate a positive impact of attitude on comprehension and intention. In addition, hedonic innovativeness positively impacts customer's attitude, whereas there is a negative relationship between social innovativeness and attitude. Motivational elements of innovation, with the exception of hedonic motivation, positively influence purchase intention.

The main limitation of the study lies in the measurement of purchase intention, as actual purchases cannot be assessed as the products are not yet available. The findings encourage marketers to target innovators first, ideally innovators motivated by hedonic needs.

The findings encourage marketers to target innovators first, perhaps for a long-term, innovators motivated by hedonic needs, as they are the ones who change their attitude positively towards novel innovation when presented in an aesthetically pleasant manner.

This study challenges the classic theories identifying the link between comprehension, attitude and purchase intention within the field of innovation. The findings indicate that while interacting with really new products, comprehension does not necessarily lead to attitude and intention but attitude does positively influence both intention and comprehension.

This study aims to produce textile-like surfaces using fused deposition modelling (FDM) 3D printers and create a garment collection.

Experiments were conducted using different types of materials in FDM 3D printers until the sufficient flexibility was achieved to create textile-like structures. During the research, properties of polylactic acid (PLA), acrylonitrile butadiene styrene (ABS) and thermoplastic polyurethane (TPU) were observed. Geometrical patterns were printed and each of them gave a different result depending on the pattern. Based on the information obtained from the experiments, a garment collection with four total looks was designed inspired by Vivaldi’s “Four Seasons”.

Among the materials used, TPU, a flexible filament, yielded the best results. Because of the rigid properties of PLA and ABS, chain-like structures were printed to create relatively flexible surfaces, but the results were still not successful enough to create a clothing material. Therefore, TPU was preferred for the garment material selection.

In this study, combinations of 3D printed flexible structures and different types of fabrics were used to create a garment collection. It was concluded that, with the right material selection, 3D printing can be used as an alternative method to create a new aesthetic language in fashion design.

To explore the influence of various factors on the adhesion strength of 3D printing materials and chiffon fabrics, and to develop an original design clothing prototype with an extended functionality that would be compatible with the specifics of the circular design.

Four different chiffon fabrics and four 3D printed materials were chosen as the research subjects to determine the influence of various factors on the adhesion strength and ductility. The uniaxial tensile test was used to determine pull-out force and the pull-out elongation from the interlayer.

3D printed TPU elements can be used to join clothing parts made from low-elasticity chiffon fabrics to improve wearing comfort. In order to comply with the circular economy concept, it is important to select such adhesion parameters of the 3D printed elements and the material system that would ensure wear comfort and withstand wear-level loads; and at the end of the life cycle of a garment, the 3D printed elements could be separated from the product and recycled.

The systems developed can be used to renew and repair products, adding originality, individual touch or additional decorative features, while extending the functional possibilities of clothing items in accordance with circular design principles.

Global economic growth provides new opportunities for the development of clothing enterprises, but at the same time, the rapid growth of clothing customization demand and the gradual increase of clothing costs also pose new challenges for the development of clothing enterprises. In this context, 3D printing technology is injecting new vitality and providing a new development direction for the vigorous development of clothing enterprises. However, with the application of 3D printing technology, more and more clothing enterprises are facing the problem of business model innovation. In view of the lack of relevant research, it is necessary to carry out exploratory research on this issue.

The business model canvas method was adopted to design business model for clothing enterprises using 3D printing. The simulation model of the designed business model was constructed by a system dynamics method, and the application of the designed business model was analysed by a scenario simulation.

Mass selective customization-centralized manufacturing (MSC-CM) business model was constructed for clothing enterprises using 3D printing, and a static display was carried out using the BMC method. A dynamic simulation model of the MSC-CM business model was constructed. The future scenario of clothing enterprises using 3D printing was developed, and a simulated enterprise was analysed. The results show that the MSC-CM business model has a good application value. The simulation model of the MSC-CM business model performs the function of a business strategy experiment platform and also has a good practical application value.

The MSC-CM business model is only a typical business model for clothing enterprises using 3D printing. It is necessary to further develop other business models, and some elements of the MSC-CM business model need to be further improved. In addition, the MSC-CM business model simulation uses a general model, which is not suitable for all clothing enterprises using 3D printing. When the model is applied, the relevant enterprises can further adjust and optimize it, thereby improving the validity of the simulation model.

To the best of the authors’ knowledge, this is the first paper on the MSC-CM business model for garment enterprises using 3D printing. Secondly, it is the first time that the business model of clothing enterprises using 3D printing has been simulated. In particular, the proposed business model simulation provides the possibility for testing the business strategy of clothing enterprises using 3D printing. In addition, a positive attempt has been made in the collaborative research of using both a static display business model and a dynamic simulation business model.

3D printing has been warmly welcomed by clothing enterprises for its customization capacity in recent years. However, such clothing enterprises have to face the digital transformation challenges brought by 3D printing. Since the business model is a competitive weapon for modern enterprises, there is a research gap between business model innovation and digital transformation challenges for 3D-printing garment enterprises. The aim of the paper is to innovate a new business model for 3D-printing garment enterprises in digital transformation.

A business model innovation canvas (BMIC), a new method for business model innovation, is used to innovate a new 3D-printing clothing enterprises business model in the context of digital transformation. The business model canvas (BMC) method is adopted to illustrate the new business model. The business model ecosystem is used to design the operating architecture and mechanism of the new business model.

First, 3D-printing clothing enterprises are facing digital transformation, and they urgently need to innovate new business models. Second, mass customization and distributed manufacturing are important ways of solving the business model problems faced by 3D-printing clothing enterprises in the process of digital transformation. Third, BMIC has proven to be an effective tool for business model innovation.

The new mass deep customization-distributed manufacturing (MDC-DM) business model is universal. As such, it can provide an important theoretical reference for other scholars to study similar problems. The digital transformation background is taken into account in the process of business model innovation. Therefore, this is the first hybrid research that has been focused on 3D printing, garment enterprises, digital transformation and business model innovation. On the other hand, business model innovation is a type of exploratory research, which means that the MDC-DM business model’s application effect cannot be immediately observed and requires further verification in the future.

The new business model MDC-DM is not only applicable to 3D-printing garment enterprises but also to some other enterprises that are either using or will use 3D printing to enhance their core competitiveness.

A new business model, MDC-DM, is created through BMIC, which allows 3D-printing garment enterprises to meet the challenges of digital transformation. In addition, the original canvas of the MDC-DM business model is designed using BMC. Moreover, the ecosystem of the MDC-DM business model is constructed, and its operation mechanisms are comprehensively designed.

The purpose of this paper is to show how 3D digital technology can bring value to the fashion industry by analysing the specific benefits it offers along the value chain. Additionally, the authors show some of the challenges ahead identified for both software and fashion firms.

The authors present by means of a case study the experience of an haute couture designer who used 3D digital technology – in collaboration with a recognised 3D software company – for developing his first luxury footwear collection.

The enhancement of creativity and a better communication with suppliers are just some of the benefits identified in the case study from the use of 3D digital technology. In addition, challenges such as the development of a digital culture or the need for technology simplification are drawn from the case.

Apart from the benefits and challenges drawn from the case study, which can be useful to practitioners in this industry, the authors also identify the collaboration through which the experience took place as an interesting practice to implement as a previous step of a digital transformation strategy.

Despite the growing interest the fashion industry is showing in the use of new digital technologies, academic research on this topic is still scarce. Therefore, the case study presented in this paper adds value to the literature showing how 3D technology can help fashion from concept to consumer.

3D food printing technology is an emerging smart technology, which because of its inbuilt capabilities, has the potential to support a sustainable supply chain and environmental quality management. This new technology needs a supportive ecosystem, and thus, this paper identifies and models the enablers for adopting 3D printing technology toward a sustainable food supply chain.

The enablers were identified through an extensive literature review and verified by domain experts. The identified enablers were modelled through the hybrid total interpretive structural modelling approach (TISM) and the decision-making trial and evaluation laboratory (DEMATEL) approach.

It emerged that stakeholders need technical know-how about the 3D printing technology, well supported by a legal framework for clear intellectual property rights ownership. Also, the industry players must have focused and clear strategic planning, considering the need for sustainable supply chains. Moreover, required product innovation as per customer needs may enhance the stakeholders' readiness to adopt this technology.

The framework proposed in this research provides managers with a hierarchy and categorization of adoption enablers which will help them adopt 3D food printing technology and improve environmental quality.

This research offers a framework for modelling the enablers for 3D food printing to develop a sustainable food supply chain using the TISM and DEMATEL techniques.