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This study aims to investigate the performance of filament-based material extrusion additive manufacturing (MEX), combined with debinding and sintering, as a novel approach to manufacturing ceramic components.

A commercial ZrO₂ filament was selected and analysed by infra-red (IR) spectroscopy, rheology and thermo-gravimetry. The influence of the print parameters (layer thickness, flow rate multiplier, printing speed) and sintering cycle were investigated to define a suitable printing and sintering strategy. Biaxial flexure tests were applied on sintered discs realised with optimised printing strategies, and the results were analysed via Weibull statistics to evaluate the mechanical properties of printed components. The hardness and thermal conductivity of sintered components were also tested.

Layer thickness and flow rate multiplier of the printing process were proved to have significant effect on the density of as-printed parts. Optimised samples display a sintered density >99% of the theoretical density, 20% linear sintering shrinkage, a characteristic flexural strength of 871 MPa with a Weibull modulus of 4.9, a Vickers hardness of 12.90 ± 0.3 GPa and a thermal conductivity of 3.62 W/mK. Gyroids were printed for demonstration purposes.

To the best of the authors’ knowledge, this work is the first to apply biaxial flexure tests and Weibull statistics to additively manufactured MEX zirconia components, hence providing comparable results to other additive technologies. Moreover, fractography analysis builds the connection between printing defects and the fracture mechanism of bending. This study also provides guidelines for fabricating high-density zirconia components with MEX.

Drawing on the stimulus–organism–response framework, this study examined the environmental stimuli driving tourists' internal, or organismic, states. In addition, the authors investigated the association of the identified organismic variables with the response variables during the COVID-19 pandemic. Specifically, the study examined how the associations between tourists' anticipation of recovery and the national government's smart governance, on one hand, and tourists' desire to travel domestically, their attitude toward domestic travel and their willingness to exhibit prosocial behaviors, on the other, further drive the satisfaction they derive from domestic travel.

The authors used an online questionnaire to collect self-report, single-wave data from individuals residing in India, an emerging market (N = 421).

The findings demonstrate (1) the association of anticipated recovery on the desire to travel and prosocial behavior; (2) the association of smart governance on attitude (although negative); (3) the association of desire, attitude and prosocial behavior on satisfaction; and (4) the lack of any moderation effect for perceived severity.

This study is the first empirical study to investigate the impact of tourists' perceptions and dispositions and the efficacy of the national government on tourists' desire to travel domestically and on their satisfaction with domestic travel. The findings can help emerging market multinationals and global brands engage better with domestic consumers in emerging markets within the context of the current pandemic. In addition, the findings can help to prepare these players to handle future disruptions caused by global health contingencies.

Given the evolution that knowledge management (KM) has undergone since the advent of the digital transition, the purpose of this paper is to evaluate how KM processes have changed as a result of agile organisations’ adoption of digital technologies.

Years have passed since the onset of the fourth industrial revolution, and the technologies unique to this revolution have permeated every organisation to varying degrees. Whether organisations have been at the forefront of technological innovation or have had to adapt to much more advanced digitised processes, they have had to change how they manage operations internally and with the remainder of the supply chain they serve. These changes have been much more significant for agile organisations, which rely heavily on digital systems and have strong supplier and customer interactions. Due to the large amount of data generated, these organisations are referred to as knowledge-intensive businesses, and as a result, their KM processes are of the utmost importance. For this reason, a multiple case study with a grounded theory approach has been implemented to carry out a field analysis.

The results show that Industry 4.0 technological advances can be included in the scientific debate on KM and agile innovation, given the effects that such technologies have on organisations.

In today’s increasingly connected world, these findings have the potential to generate significant economic value by improving coordination and collaboration in KM processes.

This study aims to identify and assess the key ethical challenges associated with integrating artificial intelligence (AI) in knowledge-sharing (KS) practices and their implications for decision-making (DM) processes within organisations.

The study employs a mixed-methods approach, beginning with a comprehensive literature review to extract background information on AI and KS and to identify potential ethical challenges. Subsequently, a confirmatory factor analysis (CFA) is conducted using data collected from individuals employed in business settings to validate the challenges identified in the literature and assess their impact on DM processes.

The findings reveal that challenges related to privacy and data protection, bias and fairness and transparency and explainability are particularly significant in DM. Moreover, challenges related to accountability and responsibility and the impact of AI on employment also show relatively high coefficients, highlighting their importance in the DM process. In contrast, challenges such as intellectual property and ownership, algorithmic manipulation and global governance and regulation are found to be less central to the DM process.

This research contributes to the ongoing discourse on the ethical challenges of AI in knowledge management (KM) and DM within organisations. By providing insights and recommendations for researchers, managers and policymakers, the study emphasises the need for a holistic and collaborative approach to harness the benefits of AI technologies whilst mitigating their associated risks.

There is currently a lack of comprehensive examination in the research field exploring the relationship between digitalization and environmental performance (EP) in manufacturing small and medium-sized enterprises (SMEs). This study investigates the relationship between digital technologies, digital organizational culture (DOC), environmental dynamism and EP through the mediation of innovation capacity (IC) and moderation of perceived environmental volatility and green strategic intent (GSI).

The data were gathered from 473 managers of manufacturing SMEs in Pakistan. Partial least square structural equation modeling (PLS-SEM) was applied to examine the mediation and moderation effects. Multiple regression analysis was used to see the influence of digital technologies, DOC, environmental dynamism, innovation capacity, perceived environmental volatility and GSI on SMEs environmental performance.

Results indicate a statistically significant direct relationship between digital technologies, environmental dynamism and EP. While there is an insignificant direct relationship between DOC and EP. Furthermore, the results reported a significant result between digital technologies, DOC, environmental dynamism and IC. Similarly, IC significantly mediated the relationship between digital technologies, DOC, environmental dynamism and EP. Moreover, results reported that perceived environmental volatility does not moderate the relationship between IC and EP, while GSI significantly moderates between IC and EP.

Policymakers must emphasize advancing digital integration to enhance manufacturing SMEs’ efficiency and environmental effectiveness.

This is the first research that incorporates digital technologies, environmental factors and innovation capacity to measure environmental performance in line of natural resource orchestration theory (natural ROT). All the variables significantly measure environmental performance instead of digital organizational culture. Perceived environmental volatility also does not moderate.

The primary objective of this research is to draw a comparative analysis between Turkey and Italy in terms of how festival events function as catalysts for the endorsement of regional culinary delicacies. The study endeavours to elucidate the role of these festivals in fortifying the regional gastronomic landscape of both nations.

Adopting a comprehensive comparative methodology, this study meticulously scrutinises the gastronomy festivals spanning diverse geographical locales in both Turkey and Italy. Consideration is given to the standout food and beverage items spotlighted at these events and the venues where they are hosted. The research design takes into account the extensive cultural and geographical spectrum that characterises Turkey and Italy. The primary research method comprises web content analysis techniques. This method involves analysing textual data from online sources pertaining to gastronomy festival events in both countries. Web content analysis is instrumental in evaluating how such festivals are deployed in promoting indigenous gastronomic products and exploring the intricate dynamics between brand identity and brand image.

The research outcomes underscore the pivotal role that festival events play in elevating regional gastronomic products' profile in Turkey and Italy. It highlights the top 10 festivals and the most popular local culinary items on digital platforms. Additionally, the study offers a side-by-side comparison of the most celebrated gastronomic products in Turkey versus those that receive prominence in Italy.

This study enriches academic understanding by dissecting the nuances of how festivals contribute to the promotion of local gastronomic treasures. By juxtaposing Turkey and Italy, this research provides valuable insights into the influence of festivals on regional culinary promotion across diverse cultural milieus. This study makes substantial contributions to the fields of gastronomy, tourism, and brand promotion.

This research comprehensively analyses the profound impact of Digital Transformation and Process Innovation (DT&PI) on business models (BMs) in the Food Service Sector (FSS), especially in the post-pandemic context. The study is guided by three primary research questions: (1) Identifying key FSS players and their interconnections, (2) Understanding the differentiation strategies these entities employ and (3) Assessing how COVID-19 has altered their BMs.

The study utilises a rigorous methodology, starting with a thorough analysis of the Business Model Canvas (BMC) for 100 prominent Spanish FSS firms, culminating in a comprehensive sector-wide BMC. Cluster analysis is then applied to group firms based on common attributes and relationships identified in the overall BMC. Additional insights are gathered through semi-structured interviews with representatives from FSS companies.

The study identifies five distinct clusters of FSS companies, each defined by unique BM strategies. These strategies mainly focus on sales and distribution channels, differentiating between those using multiple channels and those solely relying on digital platforms. Importantly, the study shows that digital transformation in the FSS was already in progress before the pandemic but was greatly expedited by it. COVID-19 stimulated the digitalisation of services, expanding sales channels and diversifying customer engagement.

This research enriches the dynamic capabilities theory by examining how DT&PI influence BM innovation in the FSS, highlighting adaptation to technological trends. It offers a fresh perspective on value creation and stakeholder interaction, contributing to the foundational theory for future FSS BM research.

The research aims to provide a longitudinal case study to understand how digital transformation can be embedded in municipal reporting frameworks. The central role of such technology becomes increasingly evident as citizens demand greater transparency and engagement between them and governing institutions.

Utilising a longitudinal case study methodology, the research focusses on Turin’s Integrated Popular Financial Report (IPFR) as a lens through which to evaluate the broader implications of digital transformation on governmental transparency and operational efficiency.

Digital tools, notably sentiment analysis, offer promising avenues for enhancing governmental efficacy and citizenry participation. However, persistent challenges highlight the inadequacy of traditional, inflexible reporting structures to cater to dynamic informational demands.

Embracing digital tools is an imperative for contemporary public administrators, promoting streamlined communication and dismantling bureaucratic obstructions, all while catering to the evolving demands of an informed citizenry.

Different from previous studies that primarily emphasised technology’s role within budgeting, this research uniquely positions itself by spotlighting the transformative implications of digital tools during the reporting phase. It champions the profound value of fostering bottom-up dialogues, heralding a paradigmatic shift towards co-creative public management dynamics.

This systematic literature review examines the domain of sports sponsorship involving controversial industries. We delve into the shared patterns, differences and overarching themes prevalent across various dark consumption industries (i.e. alcohol, food and beverages high in fat, salt and sugar, gambling and tobacco).

This study systematically reviews research on controversial sports sponsorships (CSS). Literature searches in Web of Science and Scopus, and additional searches in reference lists resulted in a total of 90 publications meeting the inclusion criteria, which can be grouped into three research clusters: prevalence, impact and (in)appropriateness of CSS.

This review revealed a high prevalence of so-called controversial sponsors in sports, particularly in – but certainly not limited to – soccer. Especially gambling sponsorships have become more prominent in recent years. Ethical concerns surfaced since CSS are positively related to attitudes, preferences, purchase intention and consumption, potentially causing health-harming consequences for children and adults.

This study provides scholars and practitioners with insights to advocate for policy measures curbing CSS.

In light of the identified research gaps, we propose a research agenda to particularly investigate causal relationships between exposure to CSS and its impact by conducting longitudinal and experimental research. Additionally, we propose to establish a consumer-centered framework for processing CSS.

This study comprehensively reviews the Fourth Industrial Revolution, which refers to Industry 4.0 (IR 4.0) applications in small and medium enterprises (SMEs). Multinational companies and big corporations have the capacity and resources to implement IR 4.0, but SMEs are limited due to financial constraints, expertise and lack of resources. Even so, IR 4.0 is required as technologies evolve and market demand has changed how firms do business.

To uncover the potential of IR 4.0 and critical determinants of SMEs’ adoption of IR 4.0, this study presents a bibliometric analysis to evaluate the current research streams in IR 4.0 adoption among SMEs through bibliographic coupling. Furthermore, this review provides a glimpse of the future by analyzing prospective trends on IR 4.0 in SMEs.

Bibliographic coupling produces five clusters: (1) challenges and barriers in IR 4.0 implementation among SMEs, (2) technological adoption of IR 4.0, (3) opportunities and benefits of IR 4.0, (4) business model innovation and (5) implication of IR 4.0 on SMEs technologies. On the contrary, co-word analysis produces three clusters: (1) technologies in IR 4.0, (2) strategy and management of IR 4.0 among SMEs and (3) IR 4.0 model for SMEs.

Implications are directly related to business owners, policymakers and technology developers meeting the needs of the industry and SMEs, which are the focus of this review.

The findings contribute significantly to the body of knowledge by presenting a state-of-the-art science mapping approach to uncover the knowledge structure and intellectual linkage of IR 4.0 adoption within SMEs.