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Polyurethane (PUR) foam parts are traditionally manufactured using metallic molds, an unsuitable approach for prototyping purposes. Thus, rapid tooling of disposable molds using fused filament fabrication (FFF) with polylactic acid (PLA) and glycol-modified polyethylene terephthalate (PETG) is proposed as an economical, simpler and faster solution compared to traditional metallic molds or three-dimensional (3D) printing with other difficult-to-print thermoplastics, which are prone to shrinkage and delamination (acrylonitrile butadiene styrene, polypropilene-PP) or high-cost due to both material and printing equipment expenses (PEEK, polyamides or polycarbonate-PC). The purpose of this study has been to evaluate the ease of release of PUR foam on these materials in combination with release agents to facilitate the mulding/demoulding process.

PETG, PLA and hardenable polylactic acid (PLA 3D870) have been evaluated as mold materials in combination with aqueous and solvent-based release agents within a full design of experiments by three consecutive molding/demolding cycles.

PLA 3D870 has shown the best demoldability. A mold expressly designed to manufacture a foam cushion has been printed and the prototyping has been successfully achieved. The demolding of the part has been easier using a solvent-based release agent, meanwhile the quality has been better when using a water-based one.

The combination of PLA 3D870 and FFF, along with solvent-free water-based release agents, presents a compelling low-cost and eco-friendly alternative to traditional metallic molds and other 3D printing thermoplastics. This innovative approach serves as a viable option for rapid tooling in PUR foam molding.

From the buying club’s perspective, the transfer of a player can be interpreted as an investment from which the club expects uncertain future benefits. This paper aims to develop a decision-oriented approach for the valuation of football players that could theoretically help clubs determine the subjective value of investing in a player to assess its potential economic advantage.

We build on a semi-investment-theoretical risk-value model and elaborate an approach that can be applied in imperfect markets under uncertainty. Furthermore, we illustrate the valuation process with a numerical example based on fictitious data. Due to this explicitly intended decision support, our approach differs fundamentally from a large part of the literature, which is empirically based and attempts to explain observable figures through various influencing factors.

We propose a semi-investment-theoretical valuation approach that is based on a two-step model, namely, a first valuation at the club level and a final calculation to determine the decision value for an individual player. In contrast to the previous literature, we do not rely on an econometric framework that attempts to explain observable past variables but rather present a general, forward-looking decision model that can support managers in their investment decisions.

This approach is the first to show managers how to make an economically rational investment decision by determining the maximum payable price. Nevertheless, there is no normative requirement for the decision-maker. The club will obviously have to supplement the calculus with nonfinancial objectives. Overall, our paper can constitute a first step toward decision-oriented player valuation and for theoretical comparison with practical investment decisions in football clubs, which obviously take into account other specific sports team decisions.

Rural tourism has become increasingly popular given its opportunities to get to know local traditions and lifestyles, to immerse in appealing cultural and natural landscapes and to enjoy a calm and relaxing atmosphere, contrasting stressful city life. Additionally, visitors seek personalised, unique and memorable experiences and immersion in rural places, which could be fostered by co-creative and authentic multisensory experiences. The co-creation of value resulting from tourists' interaction with rural destinations' multiple local agents and resources calls for articulation and even coopetition amongst these agents who may benefit from joining efforts to compete not against each other but together within a wider competitive context to, thus, achieve a stronger, unique market position. This chapter presents a qualitative, exploratory case study, illustrating the overall rural tourist experience lived and co-created in a Portuguese schist village. Semi-structured interviews were applied to visitors, supply and development agents and to the local community in order to understand their perspective regarding the nature, quality and potential of the village experience. Experience co-creation seemed to have a positive impact on visitors' satisfaction. The coopetition approach was also identified in the discourse of supply and development agents who recognised the importance of cooperation, also within the Schist Village Network yielding a more cohesive and attractive tourism product in the village. Aligning locally embedded co-creation experiences and coopetition amongst local actors seems to be a strategic approach for fostering appealing, competitive and sustainable rural tourism experiences.

Purpose: Fintech, as part of technological innovation, has evolved from a small industry trend to the main force transforming the financial environment over the past 10 years. In the beginning, it was associated with small start-ups and garage companies focused on bringing new original products and services to the market to improve people’s lives. The definition of financial innovation is not as simple as it might seem because it aims at changes in the whole financial sector. Therefore, it includes online and mobile banking, digital payments, cryptocurrency and blockchain, insurtech, neobanks, wealthtech, and artificial intelligence. The aim of this article is to present the role of financial innovation in the processes of change in the global economy for sustainable development.

Methodology: To underline the importance of ongoing changes, trends in fintech subsectors are described using statistical tools. The statistical analysis will be carried out both for time series and for geographical areas, showing the regions with the strongest and weakest positions in the implementation of fintech.

Implications: The classification of financial technologies, with their complicated linkages and relations with other industries, will be a background of the research. In addition, an attempt will be made to diagnose the future of technological processes in the financial sector, with potential consequences for the sustainable development of countries.

The study aims to outline and hierarchically rank the key enablers that support the digital nomad lifestyle, identifying their interrelationships and contextual importance within the ecosystem.

The study utilizes a multi-method approach encompassing modified total interpretive structural modeling (m-TISM) and matrice d’impacts croisés multiplication appliquée à un classement (MICMAC) analysis, complemented by a one-tailed t-test to validate the model.

The research identified nine crucial enablers that facilitate the digital nomad lifestyle. The study effectively maps out their hierarchical relationships and the dynamics of their interactions.

While the study offers significant insights, it relies heavily on expert opinions, which may introduce subjective bias. Additionally, the dynamic nature of digital nomadism might limit the long-term applicability of the findings.

The findings have substantial implications for policymakers and corporate leaders. By understanding the key enablers and their interactions, stakeholders can develop targeted strategies that enhance support for digital nomads, potentially increasing organizational flexibility and global reach.

This study contributes original insights by applying an advanced m-TISM approach to the digital nomad sector, a topic of growing relevance in post-pandemic work arrangements. It provides a comprehensive framework that integrates various theoretical and practical perspectives, which were fragmented previously.

This bibliometric analysis aims to comprehensively explore the intersection of artificial intelligence (AI) and high-to-room-temperature superconductors. Focusing on scientific literature, the study investigates trends, collaboration patterns and impactful publications in this interdisciplinary field.

The research employs an advanced search query in the Scopus database, targeting articles on the development of superconductors using artificial intelligence. Data collection involves executing the query, saving the results as a CSV file and analyzing it using R-Studio and VOSviewer. Statistical tools, T-tests, regression analysis and Python coding are utilized to enhance the depth of analysis.

The analysis spans various dimensions, including the overview of bibliometric characteristics, annual scientific production, average citations per year, sources of publications and source production over time. Noteworthy findings include a sustained growth in annual scientific production, a peak in average citations in specific years and the identification of influential journals shaping the field.

While the analysis provides valuable insights, limitations include the potential influence of research biases and the exclusion of non-English articles. Further exploration is encouraged to address these limitations and gain a more nuanced understanding of the field.

Practically, this study aids researchers, practitioners and stakeholders in staying informed, identifying collaboration opportunities and contributing meaningfully to the ongoing growth and impact of high-to-room-temperature superconductors using artificial intelligence.

Socially, the study underscores the collaborative and global nature of research in this field, emphasizing the shared endeavor worldwide to advance the understanding and application of superconductors through artificial intelligence.

This research contributes to the originality of the scientific landscape by offering a comprehensive analysis of the development of high-to-room-temperature superconductors with artificial intelligence. The utilization of advanced bibliometric techniques and the identification of key trends and sources enhance the understanding of this emerging and interdisciplinary research domain.

The teaching and learning of anatomy has experienced a significant paradigm shift. The present study assessed the level of knowledge in anatomy in medical postgraduate students and explored the impact of interventions in the form of anatomical videos on knowledge obtained. An awareness of the importance of human anatomy for clinical skills was created to ensure a certain level of competence be achieved by the end of the anatomy course.

Postgraduate medical students were recruited from various specialties on voluntary basis. The first step was to conduct a preliminary screening exam to determine the level of anatomical knowledge. The students were then divided into two groups at random, one of which received no intervention (the control group), and the other of which watched the videos with content that was pertinent to the practical demonstrations (intervention). To assess the effects of the video intervention, a post-test was administered to all students.

Both spot tests (SPOTs) and short answer question (SAQ) components for scores of all the regions from the intervention groups were comparable to the scores obtained by the post-test control group, although the findings were not significant (p > 0.05). However, the intervention group from the abdomen (ABD) region did perform significantly better (p < 0.05) than the screening test score.

The results of the research study imply that interventions like anatomical videos can bridge the postgraduate trainee’s anatomy knowledge gap in a practical method which will immensely help in increasing their knowledge.

This study aims to investigate the impact of service quality (SQ), perceived value (PV) and consumer satisfaction on Thai street food, with customer satisfaction (CS) as a mediator for customer loyalty and repurchase intention (RI). It also explores how consumer trust (CT) in Thai street food safety moderates these relationships.

Structural equation modelling (SEM) was utilised to analyse the complex interrelationships between various constructs. Multi-group analyses were conducted to investigate the moderating effects of CT on the structural model, considering two distinct groups based on trust levels: low and high.

The findings revealed that SQ and PV significantly influenced CS and behavioural intention, while the perceived quality of Thai street food had no significant impact on post-COVID-19 consumer satisfaction. The study highlighted the critical role of CT in moderating the relationships between SQ, PV and CS, with distinct effects observed in groups with varying trust levels.

The research emphasises the importance of enhancing SQ and delivering value to customers in the context of Thai street food, which can contribute to increased CS, RI and positive word-of-mouth. Furthermore, the study underscores the critical role of building CT in fostering enduring customer relationships and promoting consumer satisfaction and loyalty.

This research offers valuable insights into consumer behaviour and decision-making processes, particularly within the realm of Thai street food. It underscores the significance of understanding and nurturing CT, especially in the post-COVID-19 landscape, emphasising the need for effective business strategies and consumer engagement.

Short food supply chains (SFSCs) have been extensively researched for their environmental and economic implications. However, these are now confronted with shortcomings such as supply chain resilience (SLR) and societal livelihood (SL) hindering growth. The purpose of this study is to revisit and critically analyze existing SFSC literature, with a focus on SLR, SL, sustainability and human-centricity elements, to propose redesigning attributes for SFSCs in the era of Industry 5.0.

The systematic review scope is confined to the SFSC domain with an analysis of contemporary articles published in the British Food Journal (BFJ). The meta-data and research papers are sourced from the Scopus database and the VOSviewer software is used for the analysis. The thematic, diversified geographies and method-wise investigation bring theoretical insights toward building sustainable and resilient SFSCs.

The study findings could serve as a fitting theoretical framework to redesign the SFSCs for resiliency, sustainability and societal aspects of the economy, environment and human livelihood, respectively. The results also discuss the prior accomplishments and elaborate on avenues for future research.

Emphasizing recent trends, challenges, policy design, conceptual framework and future research directions for the SFSC domain, considering SLR and SL, has extended the literature in line with the United Nations' Sustainable Development Goals.

This study offers comprehensive guidelines to the concerned stakeholders for redesigning the SFSCs by linking sustainability, resilience and societal livelihood dimensions.

The study derives comprehensive insights into how redesigning SFSCs has contributed to more sustainable and resilient food systems worldwide over 2 decades. It extends the BFJ’s literature body by establishing the linkages between SLR and SL concerning human-centric SFSC.

To promote long-term sustainability and improve consumers’ quality of life, marketers can use artificial intelligence (AI) chatbots to initiate conversations about mindful consumption. Although anthropomorphic designs are integral for successful persuasion, there is scant research on how anthropomorphizing chatbots’ internal traits influences consumers. Integrating the Uncanny Valley Effect (UVE) and the Arousal-Biased Competition (ABC) theory, this study aims to investigate how a chatbot with a higher experiential mind shapes attitudes toward mindful consumption messages by examining people’s emotional responses (i.e. eeriness and amazement) and cognitive engagement.

Incorporating real-time interactions with a chatbot, this research adopted an online experiment with a one-factor, two-condition (a higher vs a lower experiential mind) design with eeriness and amazement as parallel mediators, leading to cognitive absorption and, consequently, attitudes toward mindful consumption messages in a serial manner.

This study found that a chatbot with a higher (vs lower) experiential mind simultaneously triggers higher levels of eeriness and amazement, leading to higher cognitive absorption and a more positive message attitude.

This study expands the current anthropomorphism literature by examining the effects of imbuing nonhuman agents with an experiential mind and emphasizing a nuanced view of emotional responses to anthropomorphized chatbots. The findings contribute to establishing a theoretical link between a chatbot’s experiential mind level and persuasion outcomes, offering strategic and ethical insights for anthropomorphized AI use in sustainability marketing.