Search Results (970)

Where we find and form identity and belonging, meaning and purpose, is often entangled in the dynamics that play out between people and place, and for Aboriginal and Torres Strait Islander Peoples, the legacy and ongoing experience of invasion and colonisation. Place-based understandings of identity and its importance in shaping young people’s experience of what is possible and probable in their futures might be critical to framing cross-cultural work with young people impacted by violence and trauma. This paper draws on practitioner reflections of work with young Aboriginal women both on, and off Country, highlighting common and distinct themes related to identity formation and migration in navigating new futures. These include connection to Country and spiritual connection, family and kinship relationships, Women’s Business and felt cultural safety. The findings illustrate a meaningful parallel instructive to practice; for both young women and practitioners, access to cultural knowledge and connection is strengthened by endorsement and in turn strengthens understanding and experienced safety. This work emphasises the importance of creating culturally connected opportunities, sensitive to dynamics of place, to support positive identity expression and wellbeing. Full article

Lighting Systems (LSs) are a key component of modern cities. Across the years, thousands of articles have been published on this topic; nevertheless, a map of the state of the art of the extant literature is lacking. The present review reports on an analysis of the network of the co-occurrences of the authors’ keywords from 12,148 Scopus-indexed articles on LSs published between 1995 and 2024. This review addresses the following research questions: (RQ1) What are the major topics explored by scholars in connection with LSs within the 1995–2024 time frame? (RQ2) How do they group together? The investigation leveraged VOSviewer, an open-source software largely used for performing bibliometric analyses. The number of thematic clusters returned by VOSviewer was determined by the value of the minimum number of occurrences needed for the authors’ keywords to be admitted into the business analysis. If such a number is not properly chosen, the consequence is a set of clusters that do not represent meaningful patterns of the input dataset. In the present study, to overcome this issue, the threshold value balanced the score of four independent clustering validity indices against the authors’ judgment of a meaningful partition of the input dataset. In addition, our review delved into the impact that the use/non-use of a thesaurus of the authors’ keywords had on the number and composition of the thematic clusters returned by VOSviewer and, ultimately, on how this choice affected the correctness of the interpretation of the clusters. The study adhered to a well-known protocol, whose implementation is reported in detail. Thus, the workflow is transparent and replicable. Full article

This study dives into what drives people to use AR filters in the catering industry, focusing on the Hong Kong market. The main idea is to determine how “perceived value” shapes users’ intentions to engage with these filters. To do this, the research combines concepts from two popular models—the extended Technology Acceptance Model (TAM) and the Satisfaction–Loyalty Model (SLM)—to understand what influences perceived value. The survey data were then analyzed with Structural Equation Modeling (SEM) to see how perceived usefulness, enjoyment, satisfaction, and value connect to users’ intentions. The results showed that “perceived value” is a big deal—the main factor driving whether people want to use AR filters. Things like how useful or enjoyable the filters are and how satisfied users feel all play a role in shaping this perceived value. These findings are gold for marketing teams and AR developers, especially in the catering world. Combining TAM and the Satisfaction–Loyalty Model offers a fresh perspective on how AR technology influences consumer behavior. On top of that, it gives practical advice for businesses looking to make the most of AR filters in their marketing and customer experience strategies. Full article

The rapid evolution of Industry 4.0 technologies has resulted in a scenario in which collaborative networks are essential to overcome the challenges related to their implementation. However, the frameworks to guide such collaborations remain underexplored. This study addresses this gap by proposing Business Rules and Goals Models to operationalize Industry 4.0 solutions through enterprise collaboration. Using the For Enterprise Modeling (4EM) method, the research integrates qualitative insights from expert opinions, including interviews with 12 professionals (academics, industry professionals, and consultants) from Brazilian manufacturing sectors. The Goals Model identifies five main objectives—competitiveness, efficiency, flexibility, interoperability, and real-time collaboration—while the Business Rules Model outlines 18 actionable recommendations, such as investing in digital infrastructure, upskilling employees, and standardizing information technology systems. The results reveal that cultural resistance, limited resources, and knowledge gaps are critical barriers, while interoperability and stakeholder integration emerge as enablers of digital transformation. The study concludes that successfully adopting Industry 4.0 requires technological investments, organizational alignment, structured governance, and collaborative ecosystems. These models provide a practical roadmap for companies navigating the complexities of Industry 4.0, emphasizing adaptability and cross-functional synergy. The research contributes to the literature on collaborative networks by connecting theoretical frameworks with actionable enterprise-level strategies. Full article

Planning conservation for multiple species while accounting for habitat availability and connectivity under uncertain land-use changes presents a major challenge. This study proposes a protocol to identify strategic conservation areas by assessing the functional connectivity of key bird species under future land-use scenarios in the Chaco Serrano of Córdoba, Argentina. We modeled three land-use scenarios for 2050: business as usual, sustainability, and intensification. Using the Equivalent Connected Area index, we evaluated functional connectivity for Chlorostilbon lucidus, Polioptila dumicola, Dryocopus schulzii, Milvago chimango, and Saltator aurantiirostris for 1989, 2019, and 2050, incorporating information about habitat specialization and dispersal capacity to reflect differences in ecological responses. All species showed declining connectivity from 1989 to 2019, with further losses expected under future scenarios. Connectivity declines varied by species and were not always proportional to habitat loss, highlighting the complex relationship between land-use change and functional connectivity. Surprisingly, the sustainability scenario led to the greatest losses in connectivity, emphasizing that habitat preservation alone does not ensure connectivity. Using the Integral Connectivity Index, we identified habitat patches critical for maintaining connectivity, particularly those vulnerable under the business as usual scenario. With a spatial prioritization analysis we identified priority conservation areas to support future landscape connectivity. These findings underscore the importance of multispecies, connectivity-based planning and offer a transferable framework applicable to other regions. Full article

This research aims to determine the utilization levels of local products and the challenges and opportunities of creating a recognizable food-centered cultural identity based on collaborative networks developed between agriculture and tourism. This has the potential to strengthen collaborative entrepreneurship. It uniquely contributes to the existing literature by exploring the connections between agri-food and tourism, while proposing strategies to maximize business opportunities centered on food culture. Descriptive and inferential statistics are conducted based on primary data collected by distributing a questionnaire to 59 public and private organizations in the Peloponnese region in Greece, which has significant agricultural production but limited tourist flows. The results indicate a lack of collective action and business recognition of the value of regional food culture among participants. The human resources employed in tourism lack the skills to highlight traditional food heritage. The presence of structural and operational barriers undermines efforts to facilitate communication, manage suppliers, and enhance the visibility of products designated with Geographical Indications. This paper offers preliminary results; however, extensive future studies are needed to validate the findings fully. The study highlights key implications: Improved communication between stakeholders could enhance the management of the local food network. Agri-food and tourism businesses can develop educational programs and food-focused tourism packages that promote social cohesion and preserve cultural heritage. Full article

The HoReCa (Hotels, Restaurants, and Cafes) sector plays a pivotal role in the economy due to its strong connections with various other industries, including agriculture, food and beverage, construction, packaging, waste management, water, and textiles. Given its broad impact, understanding the perceptions of students—emerging consumers and future professionals—could provide valuable insights for businesses seeking to enhance sustainable practices in ways that resonate with younger generations and improve their competitiveness. However, there is still limited understanding of how students perceive and engage with sustainability in this sector. This study explores student perceptions of sustainability practices within the HoReCa sector, examining their awareness levels, expectations, and behavior. The objective is to assess how effectively current business approaches align with student values regarding sustainability initiatives and identify key factors influencing their engagement. A structured questionnaire was distributed among university students, and the collected data was analyzed using statistical techniques to identify meaningful trends and correlations. Findings revealed a notable disconnect between students’ professed sustainability values and their actual behavior. Primary obstacles included price sensitivity, skepticism toward environmental marketing claims, and insufficient access to clear sustainability information from businesses. Despite supporting sustainable initiatives in principle, students often struggle to translate their values into purchasing decisions. The research suggests that greater business transparency, enhanced sustainability education, and incentive programs could foster increased student engagement. Full article

This paper investigates religious encounters between Chinese and Senegalese Muslims in the relatively new Chinatown of Dakar. Chinese Muslims from Kaifeng City, Henan Province first arrived in Senegal in the 1990s following the Henan provincial state-owned construction company. They started a wholesale business mainly of clothing and shoes and brought their relatives and family members to Dakar. However, scholars studying the Chinese community in Dakar have largely ignored their Muslim identity and its significance. Moving beyond the conventional focus on tensions between Muslim and Chinese identities in the study of overseas Chinese Muslims, this paper turns to religious encounters in everyday life. Based on field research and interviews both in Dakar and Henan, this paper argues that for these Chinese Muslim businesspersons in Dakar, Islam as a shared religious identity sometimes provides opportunities to connect with their fellow Muslims in a foreign country. However, differences in religious practices can also lead to misconceptions between them and other Senegalese Muslims. This paper thus contributes to Islamic studies and the study of global China, particularly in relation to overseas Chinese Muslims, China–Africa encounters, and global Chinatowns. Full article

Sustainability has also become an increasingly important issue as an international trend for the hospitality industry in recent times, with a positive message for both restaurant operators and consumers. Restaurants can become more sustainable in three main areas: (1) water and energy efficiency, (2) waste management, and (3) employees—social topics. This study examines the role of green practices and innovation in hospitality using three methods in parallel. In connection with a current tourism project, this paper describes some of the green practices for hospitality management in Hungary. Based on the survey, the most common sustainable practices are sourcing from local producers and using seasonal menus. The most popular food waste reduction strategies are Munch, nose-to-tail, and other food utilization options, totaling 65.0%. A total of 72.0% of consumers prefer the green restaurants. Our data show that sustainable operation is not just an environmental issue, but also increasingly a strategic business advantage. The findings are supported by the everyday practices of two of Dining Guide’s member restaurants, Iszkor and Sulyom in the Northeastern Hungary region. Both restaurants focus on locally sourced food and drink ingredients. Some dairy products, domestic fruit, and vegetables come from sustainable farming. For restaurants, adopting sustainable solutions can provide a long-term competitive advantage. Full article

Efficient logistics and transport infrastructure are critical in contemporary urban and interurban scenarios due to their impact on economic development, environmental sustainability, and quality of life. This study explores the use of the Ant Colony Optimization (ACO) metaheuristic applied to the Vehicle Routing Problem (VRP) and the strategic positioning of service stations along major highways. Through a systematic mapping of the literature and practical application to a real-world scenario—specifically, a case study on the Bandeirantes Highway (SP348), connecting Limeira to São Paulo, Brazil—the effectiveness of ACO is demonstrated in addressing complex logistical challenges, including capacity constraints, route optimization, and resource allocation. The proposed method integrates graph theory principles, entropy concepts from information theory, and economic analyses into a unified computational model implemented using Python (version 3.12), showcasing its accessibility for educational and practical business contexts. The results highlight significant improvements in operational efficiency, cost reductions, and optimized service station placement, emphasizing the algorithm’s robustness and versatility. Ultimately, this research provides valuable insights for policymakers, engineers, and logistics managers seeking sustainable and cost-effective solutions in transport infrastructure planning and management. Full article

The importance of real-time big data has become crucial in the digital revolution of modern society, in the context of increasing data flows from multiple sources, including social media, internet connected devices (IOT) and financial systems, real-time analysis and processing is becoming a strategic tool for fast and accurate decision making, we find applications in different domains such as healthcare, finance, and digital marketing, which is revolutionizing traditional business models. In this article, we explore the recent advances and future prospects of real-time big data. Our research is based on recent work published between 2020 and 2025, examining the technological advances, the difficulties encountered and suggesting ways of optimizing the efficiency of these technologies. Full article

Background: In today’s rapidly evolving business environment, organizational agility (OA) has become increasingly critical for companies to maintain competitiveness and sustainability. Business intelligence (BI) is pivotal in enabling organizational agility by providing the necessary tools and insights to navigate uncertainties and capitalize on opportunities. This study aimed to investigate the relationship between BI and organizational agility, particularly within the pharmaceutical manufacturing sector in the Middle East and North Africa (MENA) region. The systematic literature review followed Kitchenham’s guidelines, which was supplemented with a VOS analysis to visualize the interconnectedness of BI and organizational agility. The analysis revealed a direct relationship between BI and organizational agility, with the critical variables of innovation, competitive advantage, firm performance, and dynamic capabilities influencing this connection. The MENA region shows promise in contributing to this field, but further research is needed. Leveraging BI capabilities can enhance organizational agility, positioning companies for sustained success amidst uncertainty. Addressing challenges and fostering a supportive organizational culture is essential for realizing the full potential of BI-driven agility. This study makes an original and timely contribution by examining the relationship between business intelligence (BI) and organizational agility (OA) through a systematic literature review across multiple countries. The study focuses specifically on the Middle East and North Africa (MENA) region, which has received insufficient attention in previous research. Unlike previous studies that focus on isolated cases, this work combines bibliometric analysis with a structured review methodology. It provides a clear summary of how BI supports key outcomes such as innovation, dynamic capabilities, and competitive advantage Full article

The advancement of artificial intelligence (AI) offers new opportunities for business model innovation in digital platform enterprises. Despite growing interest in AI applications, the specific mechanisms through which digital platform firms leverage AI to drive business model innovation remain insufficiently explored, particularly from the integrated perspective of resource mobilization and organizational capability reconfiguration. To address this gap, this study conducts a single-case analysis of a highly successful digital platform enterprise in China. This study explores how digital platform enterprises can effectively utilize AI technologies to support business model innovation. The findings reveal that AI technologies enable digital platform enterprises to develop organizational capabilities in intelligent connectivity, intelligent development, and intelligent governance. AI-enabled organizational capabilities in digital platform enterprises evolve through three progressive stages: AI-assisted, AI-augmented, and AI-integrated. At each stage, these capabilities are shaped through different types of resource actions—namely, entry-oriented resource patchwork, depth-oriented resource arrangements, and coordination-oriented resource orchestration. This study offers practical insights for digital platform enterprises seeking to leverage AI technologies for business model innovation. By integrating the concepts of resource actions and organizational capabilities, it provides a dynamic explanation of how AI drives innovation in digital platform business models. The research contributes to the theoretical advancement of human-AI integration and resource action frameworks, offering actionable intelligence for the broader industry. Full article

Heightened environmental policies along with the necessity for a resilient supply chain (SC) network have driven companies to adopt circular economy (CE) strategies. Although CE initiatives have shown significant effects on SC operations, the advent of digital technologies is encouraging businesses to digitize their SCs. However, the relationship connecting SC digitalization with CE practices remains underexplored. This study presents a novel framework that bridges the gap between CE principles and SC digitalization by identifying and prioritizing critical success factors (CSFs) for implementing SC4.0 in a circular economy context. We conducted a comprehensive literature review to determine CSFs and approaches relevant to Supply Chain 4.0 (SC4.0), and expert insights were gathered using the Delphi method for final validation. To capture the complex interrelationships among these factors, the study employed a combined approach using Intuitionistic Fuzzy Set (IFS), Analytic Network Process (ANP), decision-making trial and evaluation laboratory, and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) techniques to assess the CSFs and strategies. The findings highlight that an intelligent work environment, performance tracking, and data accuracy and pertinence are the top three critical CSFs for SC digitalization. Furthermore, enhancing analytical capabilities, optimizing processes through data-driven methods, and developing a unified digital platform were identified as key strategies for transitioning to SC4.0. By embedding CE principles into the evaluation of digital SC transformation, this research contributes a novel interdisciplinary perspective and offers practical guidance for industries aiming to achieve both digital resilience and environmental sustainability. The study delivers a comprehensive evaluation of CSFs for SC4.0, applicable to a variety of sectors aiming for digital and sustainable transformation. Full article

This paper explores the evolution and contextual background of an 18th-century dyer’s manuscript originating in Antwerp, covering the period between 1778 and 1802. This manuscript offers a unique glimpse into the operational practices of a small enterprise specializing in red hues for a middle-class clientele. The manuscript includes dye recipes, accounting records, and business correspondence, along with dyed textile samples that provide a tangible connection between written instructions and their visual outcomes. Our study aims to go beyond content analysis to examine the manuscript as a dynamic document in which the dyer’s craft knowledge and experiential learning are visibly embedded. Unlike most available technical treatises, this manuscript appears to be an evolving draft marked by corrections and additions. This fluidity in structure sheds light on the process of knowledge formation and codification in the craft, aligning with devices of precise knowledge transmission and especially with the concept of “codification of error” (Codification of error refers to how early modern artisans and scholars began systematically recording mistakes in their work rather than hiding them. This shift recognized failure as a valuable part of the learning process, helping to refine techniques and support more empirical, experimental approaches to knowledge in the crafts and sciences)—an approach developed within the artisan community to refine practices over time and theorized by Professor Sven Duprè. Through a selection of annotated pages, we highlight the manuscript’s traces of iterative thought and method development. We propose that these elements illustrate the dialectic between transmitted knowledge and individual experimentation, where mistakes, followed by correction, reflection, and refinement, play a central role. Additionally, we discuss the manuscript as evidence of the thin boundaries between practical trade knowledge and the field of scientific inquiry. Through the abovementioned and the comparison with contemporary manuals, this research positions the manuscript as a valuable case study in understanding craft knowledge evolution and its transmission within the historical context of 18th-century European textile dyeing. Full article