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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.

Service research offering a view of both the dark and bright sides of smart technology remains scarce. This paper embraces a critical perspective and examines the conflicting outcomes of smart services on the customer experience (CX), with a specific focus on chatbots.

This study uses empirical research methods to examine a single case study where an online retail service provider implemented a chatbot for customer service. Using discourse analysis, we analysed 7,167 conversations between customers and the chatbot over a two-year period.

The analysis identifies seven general themes related to the effects of the chatbot on CX: interaction quality, information gathering, procedure literacy, task achievement, digital trust, shopping stress and shopping journey. We illuminate both positive (i.e. having a pleasant interaction, providing information, knowing procedures, improving tasks, increasing trust, reducing stress and completing the journey) and negative outcomes (i.e. having an unpleasant interaction, increasing confusion, ignoring procedures, worsening tasks, reducing trust, increasing stress and abandoning the journey).

The paper develops a comprehensive framework to offer a clearer view of chatbots as smart services in customer care. It delves into the conflicting effects of chatbots on CX by examining them through relational, cognitive, affective and behavioural dimensions.

This study aims to examine the influence of the derived attributes of embedded artificial intelligence-mobile smart speech recognition (AI-MSSR) technology, namely perceived usefulness, perceived ease of use (PEOU) and perceived enjoyment (PE) on consumer purchase intention (PI) through the chain relationships of attitudes to AI and consumer smart experience, with the moderating effect of consumer innovativeness and Generation (Gen) X and Gen Y in fashion retail.

The study employed a quantitative survey strategy, drawing a sample of 836 respondents from Sri Lanka and India representing Gen X and Gen Y. The data analysis was carried out using smart partial least squares structural equation modelling (PLS-SEM).

The findings show a positive relationship between the perceived attributes of MSSR and consumer PI via attitudes towards AI (AAI) and smart consumer experiences. In addition, consumer innovativeness and Generations X and Y have a moderating impact on the aforementioned relationship. The theoretical and managerial implications of the study are discussed with a note on the research limitations and further research directions.

To multiply the effects of embedded AI-MSSR and consumer PI in fashion retail marketing, managers can develop strategies that strengthen the links between awareness, knowledge of the derived attributes of embedded AI-MSSR and PI by encouraging innovative consumers, especially Gen Y consumers, to engage with embedded AI-MSSR.

This study advances the literature on embedded AI-MSSR and consumer PI in fashion retail marketing by providing an integrated view of the technology acceptance model (TAM), the diffusion of innovation (DOI) theory and the generational cohort perspective in predicting PI.

Although officially ended in July 2020, China’s dispute about its non-market economy (NME) status at the World Trade Organization (WTO) is far from being resolved. The NME status enables China’s counterparts to disregard Chinese prices in antidumping proceedings and instead use the so-called surrogate country methodology. This paper aims to structure and analyze the complex debate, which emerged with the disputes China has filed against the European Union and the USA at the WTO, and therefore provide a point of reference for future analysis of and debates about China’s NME status.

The analysis is based on the existing academic literature on the topic and on the legal WTO-related documents (e.g. multilateral agreements, China’s Accession Protocol, legal findings of the WTO dispute panels).

Four different interpretations of the respective legal documents about China’s NME status are discussed and strong and weak aspects of these interpretations are pointed out. Also, several misunderstandings and mistakes appearing in the debate are clarified.

As the question of China’s position at the WTO and its NME status has not been resolved yet and some authors believe that China will pursue its case again once the WTO Appellate Body revives its functionality, the analysis of the debate can serve as a point of reference for the academic debate and the future research on this topic. Moreover, it offers an introduction to China’s NME position at the WTO for the newcomers to this topic.

Although China’s NME status has been much discussed, there is no literature review that would structure the debate and point out some of the (dis)advantages of the respective arguments and interpretations. Rather than adding to the large corpus of literature about the NME status, this study takes this corpus as the object of its analysis.

This research aims to contribute to the literature on sustainable hospitality and tourism by applying social network analysis to identify sustainable tourism business networks and untangle the role of cognitive and geographical proximity in their formation.

Data mining and machine learning techniques were applied to data collected from the websites of tourism companies located in northeastern Italy, namely, the Veneto region. Specifically, the authors used Web scraping to extract relevant information from the internet.

The results support the existence of geographical clusters of tourist accommodation providers that are linked by strong cognitive proximity based on sustainability principles that are well communicated via their websites. This does not appear to be greenwashing because companies that have agreed on sustainability principles have also implemented concrete actions and tend to signal these actions through a variety of sustainability certifications.

The results may guide tourism managers and policymakers in developing tourism initiatives directed at the creation of fruitful collaborations between similarly oriented organizations and methods to support clusters of sustainable tourism accommodation. Identifying sustainable tourism networks may assist in the identification of potential actors of change, fueling a widespread transition toward sustainability.

In this study, the authors adopted an innovative methodology to detect sustainability-oriented tourism business networks. Additionally, to the best of the authors’ knowledge, this study is one of the first to simultaneously explore the cognitive and geographical connections between tourism businesses.

Adolescence is a period in which autonomy grows and where children develop into independent and active consumers and a period in which their food choices are also becoming more autonomous. Snacking is known to increase during the period of adolescence and the snack choice of adolescents is often unhealthy. Therefore, the purpose of this study is to know when adolescents perceive a snack as healthy. As healthiness perception could be linked to the perception of naturalness and sustainability of a snack, these are interesting product characteristics to study as well.

Semi-structured interviews with 20 adolescents were conducted to characterize their perception of healthiness, naturalness and sustainability. Chocolate snack bars were used as a stimulus product.

All participants mentioned consuming snacks because they like them. Healthiness was seen as important but was not always a priority in adolescents' snack choices. Naturalness and sustainability were concepts which the adolescents were not aware of or did not perceive as important during snack choice. The adolescents mentioned experiencing natural products to be healthier compared to not natural products. The consequences of the discerned dimensions time, impact and effect of choices were rather limited for this target group.

Understanding the healthiness, naturalness and sustainability perception of chocolate snack bars by adolescents may help to better understand drivers for adolescents' snack choices.