Search results

Disruptions are appearing more frequently and having an ever greater impact on supply chains (SC), affecting the vulnerability and sustainability of organisations. Our study proposes an innovative approach to address contemporary challenges by introducing coopetition as a strategic capability. The aim of this study is to enable companies to adapt and thrive by applying a tool that measures and monitors different logistical scenarios to improve performance and antifragility.

With the aim of jointly planning transport activities of two competing companies, we present a linear programming model that promotes synergies which enhance resource utilisation. To demonstrate the validity of the model, a case study is conducted to measure, monitor and evaluate the results obtained after collaborating on SC activities.

Current tools to support logistics planning are not effective because they hamper information exchange, cost allocation and performance measurements. Our innovative model optimises collaborative networks (CNs) and monitors economic, environmental and social improvements. The case study shows the reduction of logistics costs (13%), carbon footprint (37%) and the improvement of social antifragility when agility and flexibility emerge.

CNs have become an effective means of enhancing resilience, but there are no empirical contributions to demonstrate how to achieve this. We provide a real case with computational experiments that provide empirical evidence of the effectiveness of the model, which measures, optimises and evaluates SC performance in coopetitive environments. This approach is a guide to researchers and practitioners when creating simulations to reduce risks and facilitate decision-making.

This study examines the decision-making processes and coping mechanisms of mumpreneurs (entrepreneurs who are mothers) as they navigate complex environments characterized by uncertainty and competing goals that are heightened by their circumstances and marginalization.

In-depth interviews were conducted with 26 female entrepreneurs in the United Kingdom who are raising young children.

The research develops a new framework based on regulatory focus theory. It uncovers multiple layers of uncertainty facing mumpreneurs, including traditional business-focused uncertainties such as global crises, market volatility and financial risks, but including uncertainties derived from the challenge of balancing business growth with family responsibilities. Despite these complexities, mumpreneurs pursue multiple competing goals related to their businesses, families and societal contributions. The study identifies four key coping and decision-making mechanisms employed by mumpreneurs in complex environments: intuition, adaptability, confidence and a dynamic interplay between promotion and prevention regulatory focus.

This study contributes to entrepreneurship literature by providing a nuanced understanding of how mumpreneurs are required to navigate uncertainty and competing demands and the key coping and decision-making mechanisms they use to achieve this. It challenges the binary view of regulatory focus theory and offers insights into the unique stress dynamics experienced by mother entrepreneurs. The findings underscore the need for tailored support systems, including coaching and mentoring programs for mumpreneurs with young children. Moreover, the research highlights the importance of policy interventions, such as increased childcare subsidies, to support parental entrepreneurship and advance gender equality goals.

The purpose of Lat-Intersectology is to foster a deeper, more holistic understanding of societal structures, guiding more effective, inclusive policies and social justice initiatives. It champions the complexity of human diversity, urging a shift from linear analytical models to a more expansive, interlaced understanding of social realities.

Lat-Intersectology is a relatively new field of study that emerged from the intersection of Latino critical race and intersectionality theories. Lat-Intersectology seeks to build on Latino Critical theory (LatCrit) by examining the complex ways in which immigration status, race and ethnicity intersect Latino immigrants’ identities. Lat-Intersectology proposes a novel approach that seeks to unravel the deficit layers prevalent among Latino immigrants in the United States. This new approach emphasizes the understanding of these intersections not just as theoretical constructs but as privileged realities, influencing scholarly discourse. By foregrounding new perspectives, Lat-Intersectology contributes to a more nuanced understanding of US Latino immigrants’ social dynamics, promoting strategies for inclusion that are both informed by and tailored to the specificities of Latino immigrants’ context.

Lat-Intersectology provides a critical approach to the complex dynamics of privilege within Latino immigrant populations in the United States. It offers a nuanced analysis that recognizes diverse experiences shaped by race, ethnicity and legal status. The findings underscore that privileges are not monolithic among Latino immigrants; rather, they are fragmented and highly dependent on intersecting identities, providing a way for more inclusive and effective advocacy, tailored to the multifaceted nature of immigrant experiences in the United States.

Lat-Intersectology, as a groundbreaking methodology, shifts the paradigm in examining Latino immigrants in the United States by focusing on the intersections of their privileges, a concept often overshadowed by the dominant narrative of marginalization. This novel approach does not negate the systemic challenges faced but instead enriches our understanding by acknowledging the multifaceted identities within this community. By analyzing privileges alongside adversities, Lat-Intersectology facilitates a more nuanced discourse, recognizing that within the struggles, there are varying degrees of social advantages, perhaps tied to factors like skin color, immigration status, economic background or education. This methodology’s originality lies in its balanced view, offering a more comprehensive analysis of Latino immigrants’ experiences. Ultimately, the value of Lat-Intersectology is profound, as it fosters empathy and promotes a deeper comprehension of the complexities within human experiences, encouraging policies and social attitudes that reflect the diversity of experiences within the Latino immigrant community.

Exploring the entrepreneurial process, particularly the role of the entrepreneur’s psychological aspect in business models, has been less emphasized in previous research. This study aims to introduce a business model influenced by psychological factors.

This study reveals psychological factors in the entrepreneurial process through qualitative interviews, identifying two main categories: negative emotions and moderating effects. This study adopts a grounded theory approach using the constant comparative method, analyzing data through systematic coding procedures.

A new theoretical framework, Business Model for Sustainability by Psychology, is established, integrating business processes and psychological factors, and emphasizing the importance of addressing psychological challenges in the success of self-created brands. Furthermore, this study indicates that entrepreneurs are more likely to acquire resources and maintain a positive innovative attitude in a supportive social and cultural environment.

Future research should expand to include various types of stores and entrepreneurs from different age groups. Expanding the research to include other industries would provide more comprehensive and representative results.

This research reveals interdisciplinary observations to better support entrepreneurs in facing challenges and promoting the success of entrepreneurial activities.

The psychological state of entrepreneurs and the social-cultural background are modeled when designing business integration frameworks to enhance the success of entrepreneurship.

This paper aims to provide an integrated legal and marketing perspective on the imminent trademark challenges and opportunities for sports organizations operating in the metaverse.

The approach is a legal commentary that explores the ways in which the current legal framework, especially in the context of trademarks, might need to transform to offer robust protection for sports brands in the virtual marketplaces emerging within the metaverse.

Our analysis reveals that the traditional legal frameworks for trademarks are often inadequate to address the unique challenges posted by the metaverse, such as the issue of virtual goods replication and the global accessibility of branded content. The findings indicate that sport organizations must adopt proactive strategies to monitor and enforce their trademark rights effectively within these expansive digital environments. Moreover, legislative bodies may need to consider reforms or new regulations specifically tailored to the complexities of trademark protection in the digital realm to prevent dilution and misuse of sport brands.

In light of legal and branding issues related to metaverse-based trademarks, this paper is dedicated to examining the legal principles and foundations necessary to enhance the protection of sports brands within the virtual marketplace of the metaverse.

Automatic mesh generation is still a challenge problem for combustion fluid dynamics simulations because of the high-quality requirement and complexity of geometries. This paper aims to find an efficient automatic analysis model creation and mesh generation method to save the time for pre-processing in numerical simulations.

Based on the previous work, we explore effective model processing and mesh generation methods from practical engineering applications. Considering the automation and high quality requirement, we construct an automatic mesh generation procedure for combustion fluid dynamics problems.

The numerical results show that the procedure we proposed in this paper can automatically generate high quality mesh for combustion fluid dynamics simulations. The strategy of fluid model construction is time-saving and with high-precision. The mesh generation method in our procedure is automatic and efficient.

The procedure proposed in this paper is applicable to the practical engineering application model, such as aircraft simulation, aeroengine simulation and so on. The procedure has been integrated into an numerical simulation software.

The method proposed in this paper has very practical application value. It can be used in the practical application and saves a lot of manual processing time for numerical stimulation specialists.

It is suggested that autism assessments are not sensitive to the female autism presentation. Autistic women are often misdiagnosed or delayed in receiving their diagnosis. More guidance for assessing clinicians is required to improve the validity and effectiveness of autism diagnostic assessments of women. This study aims to explore the experiences of autistic women during their diagnostic assessments and understand what they considered important for diagnostic assessments of females.

A focus group with four adult autistic women was conducted, exploring their experiences and recommendations. Thematic analysis was used to identify overarching themes.

The main themes were 1) experience of the assessment; 2) gender-sensitive assessment content; and 3) clinician characteristics and skills. Participants made specific recommendations within these themes for how diagnostic assessments of females should be conducted.

This study differs from previous research by focusing on the experiences of autistic women specifically during diagnostic assessments and what they recommend for future assessments.

This paper aimed to develop a participatory methodology to analyze the disaster risk creation in coastal cities, based on an approach that combines social, urban, environmental and disaster risk elements.

The methodology uses some aspects of three theoretical approaches in a complementary way: i) the Pressure and Release (PAR) framework for the identification of dynamic pressures that contribute to disaster risk creation; ii) the application of Drivers, Pressure, State, Impact, Response (DPSIR) framework to analyze environmental dimensions; and iii) urban analysis, applying the Strengths, Weaknesses, Opportunities and Threats (SWOT) tool to classify urban processes. The methodology combined the use of satellite remote sensing data to analyze the urban sprawl and citizen science methods to collect social and environmental data, using the case study of the watershed of the Juqueriquerê River in the coastal city of Caraguatatuba, Brazil. The pilot project was part of a local university extension project of the undergraduate course on Architecture and Urban Planning and also engaged residents and city hall representatives.

The satellite remote sense data analysis indicated a continuous urban sprawl between 1985 and 2020, especially in the south of the Juqueriquerê watershed, reducing urban drainage and increasing the extension and water depth of urban flooding and riverine floods. Using citizen science methods, undergraduates identified settlements with limited economic resources to elevate houses and a lack of infrastructure to promote a resilient coastal city. After identifying the dynamic pressures that contribute to disaster risk creation and the weaknesses and strengths of a resilient city, undergraduate students proposed urban planning interventions and gray and green infrastructure projects to mitigate disaster risks.

The paper identifies urban sprawl in disaster-prone areas as one of the risk factors contributing to disaster. It also comprehensively analyzes differences between different zones in the Juqueriqere River, which will be useful for policy-making.

The method presented an interdisciplinary approach that used satellite remote sensing data and citizen science techniques to analyze disaster risks in coastal cities. The multidimensional approach used to evaluate risks is useful and can be replicated in other similar studies to gain a more comprehensive understanding of disaster risks.

A comprehensive understanding of the determining factors and implications of the frameworks for appreciating the relationships between climate risks and cultural heritage remains deficient. To address the gap, the review analysed literature on the management of climate risk in cultural heritage. The review examines the strengths and weaknesses of climate risk management (CRM) frameworks and attendant implications for the conservation of cultural heritage.

The study adopted a two-phased systematic review procedure. In the first phase, the authors reviewed related publications published between 2017 and 2021 in Scopus and Google Scholar. Key reports published by organisations such as the United Nations Educational, Scientific and Cultural Organisation (UNESCO) and International Council on Monuments and Sites (ICOMOS) were identified and included in Phase Two to further understand approaches to CRM in cultural heritage.

Results established the changes in trend and interactions between factors influencing the adoption of CRM frameworks, including methods and tools for CRM. There is also increasing interest in adopting quantitative and qualitative methods using highly technical equipment and software to assess climate risks to cultural heritage assets. However, climate risk information is largely collected at the national and regional levels rather than at the cultural heritage asset.

The review establishes increasing implementation of CRM frameworks across national boundaries at place level using high-level technical skills and knowledge, which are rare amongst local organisations and professionals involved in cultural heritage management.

The review established the need for multi-sectoral, bottom-up and place-based approaches to improve the identification of climate risks and decision-making processes for climate change adaptation.

This study examines the influence of succession planning and the incumbents’ willingness to step aside on the sustainability of family businesses, a critical but often overlooked aspect that can determine the long-term viability of these enterprises. The study further explores the moderating effect of the incumbents’ willingness to step aside in the relationship between succession planning and sustainability.

The study employs a cross-sectional survey design. Data were collected through structured questionnaires from 190 successors of family businesses in Tanzania. Confirmatory factor analysis was used to validate the measurement model, and hypotheses were tested using the PROCESS macro.

The findings indicate that both succession planning and the incumbents’ willingness to step aside significantly enhance the sustainability of family businesses by ensuring a smooth and structured leadership transition, which minimizes disruptions and safeguards business continuity. Additionally, the incumbents’ willingness to step aside was found to be a significant moderator of the relationship between succession planning and sustainability, meaning that the influence of succession planning on sustainability is much stronger when the incumbents are fully supportive and cooperative during the transition. This implies that without the incumbents’ active participation, even well-designed succession plans may not achieve their full potential.

This study contributes to the limited empirical evidence on the influence of succession planning on the sustainability of family businesses. Additionally, it advances current understanding by identifying the moderating effect of the incumbents’ willingness to step aside on the relationship between succession planning and sustainability, an area not previously explored in the literature. The findings have significant implications for both practitioners and researchers, offering new perspectives on managing generational transitions in family businesses.