Geographical Context Research Articles

The New Paradigm of Russia’s International Financial Relations

The objective of this study is to explore the fundamental features of the emerging international financial framework in Russia, to pinpoint potential risks and central issues in its development. The distinctive characteristics of Russian companies’ international trade activities are explored through a comparative and economic-statistical analysis. The identification of risks was done by creating checklists using logical and analytical methods to organize information about the research topic. The risk analysis was based on the Ishikawa method (“fish bone”). The framework of Russia’s international financial interactions from 1991 to 2014 was centred on the goal of swiftly integrating the country into the global monetary and financial framework, fully embracing the standards set by the global power, while also acknowledging the increasing reliance on the collective West, which could potentially compromise national interests. The New Paradigm envisions a balanced integration of diverse subsystems and individual components — nations and groups of nations — within a cohesive geographical context. This framework envisions the enhancement of mutually beneficial international collaboration with allied nations and the development of novel settlement and payment systems, which are based on the utilization of national currencies and/or cutting-edge digital instruments.

Pyrostories: New Historical Insights into Portuguese Burning Landscapes

This paper examines Portuguese literary texts in which fire is explicitly included in the narrative. These texts include descriptions of various occurrences and uses of fire and their intertwined social and ecological effects. They shed light on the origins, actors, practices, and impacts of fire, and they reveal past perceptions of fire, namely the role fire played in social processes and in the making of landscapes. It becomes evident that in literary texts, fire is not merely a physical element but also a powerful symbolic force of life, death, and transformation. Furthermore, the literary landscapes of different regions describe fire in distinct ways, reflecting particular geographical, social, and political contexts.

Terminological Conflation in Archaeological Site Institutions: Delineating Boundaries through Interviews with Heritage Experts in Europe, China, and Israel

ABSTRACT As a fundamental component of cultural heritage, archaeological sites are protected and interpreted by diverse related institutions. However, the conceptual boundaries of these institutions are increasingly becoming blurred, resulting in theoretical ambiguities and a conflation of terminologies. This trend presents a risk of misinterpretation or misuse of terms, as evidenced in certain academic papers and institutional namings. A review of prevalent concepts across diverse geographical contexts of these institutions, coupled with the proposal of clearer theoretical definitions, may offer novel and valuable insights into their theoretical boundaries and enhance academic and public comprehension of the exact roles and functions of heritage institutions. This study – integrating an interdisciplinary literature review and field case studies with 16 semi-structured in-depth interviews with heritage experts in Europe, China, and Israel – aims to address current misconceptions and overlaps in the definitions of these institutions, analyse their scope variance across cultural regions, and advocate for diverse and open definitions.

Unleashing Lecturer Performance in Malaysian Higher Education through Green Organizational Culture: The Mediating Role of Work Motivation

This study examines the influence of green organizational culture on work motivation and its subsequent effect on lecturer performance within the context of sustainable development education in higher education institutions. Using a sample of 308 lecturers from Malaysian universities, data were collected through a Google Forms questionnaire and analyzed using Smart PLS. The results indicate a significant positive relationship between green organizational culture and work motivation, which in turn, significantly enhances lecturer performance. This study provides both theoretical and practical implications by contributing to the growing body of knowledge on sustainable organizational practices and their role in fostering employee motivation and productivity. Future research should expand the scope to different geographical contexts and employ longitudinal studies to gain a deeper understanding of these dynamics over time. Overall, the findings underscore the importance of integrating sustainability into organizational culture to promote a motivated and high-performing academic workforce.

Comparative Analysis of Women Entrepreneurs in Coastal vs. Non-Coastal Regions of Tamil Nadu

This study investigates the women’s entrepreneurship landscape in the Indian state of Tamil Nadu, with particular emphasis on understanding the differences and similarities between the coastal and non-coastal regions. The coastal regions of Tamil Nadu, with their unique economic activities such as fishing and maritime trade, offer different opportunities and challenges to women entrepreneurs than non-coastal regions, which are characterised by different industries and economic structures. In the situation where men are oppressed and rejected in society, many women face different kinds of challenges with their own efforts and intelligence and excel in this field as woman entrepreneurs in this society, also about the challenges faced by the achiever and the recognition. In this study, we will see in detail how the capital required starting the business and the professional and technical knowledge are available, and in the best way they can expand their business in a visionary way and achieve excellence. And we can all know about all kinds of opportunities between women entrepreneurs in coastal districts and women entrepreneurs in non-coastal districts in Tamil Nadu. The study is qualitative in nature; here, data were obtained from a primary and secondary source, and documents were reviewed to discuss the topic under study using the available resources. This study examined whether coastal women entrepreneurs were dominated in the entrepreneurship of non-coastal women entrepreneurs. Based on the findings of the studies, conclusions have been drawn for the main domains of the study. The results of this study are expected to provide valuable insights to policymakers, business support organisations and researchers interested in promoting women’s entrepreneurship in Tamil Nadu. Understanding the nuances of entrepreneurial ecosystems in different geographic contexts will allow us to develop targeted interventions to empower and support women entrepreneurs, ultimately improving state. It can contribute to the economic development of both the coastal and non-coastal regions.

Emerging trends in cognitive impairment and dementia among older populations in Asia: A systematic review.

Dementia and cognitive impairment rates in Asia have significant policy implications. Contrary to the existing literature, which primarily focused on the Western region, in this study, we provide novel insights into previously unexplored geographical contexts. We aimed to evaluate the prevalence of cognitive impairment and dementia in Asia. Adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines, we searched six bibliographic databases: Web of Science, Medline, Science Direct, Ovid, Google Scholar, and PubMed. We targeted cross-sectional studies on dementia and cognitive impairment in Asia, published between 2019-23. Our extensive search yielded 2593 original articles, of which 39 met eligibility criteria. This selection unveiled a significant rise in dementia and cognitive impairment prevalence in Asia, aligning now with trends observed in Western countries - a novel finding that challenges previous assumptions about regional prevalence disparities. The studies predominantly conducted in East Asia (n = 29), along with limited research from Southeast (n = 2), South (n = 7), and Central Asia (n = 1), underscore the geographical gaps in current research. This shift in prevalence patterns is potentially linked to demographic changes, urbanisation, environmental factors, ethnic diversity, and neuroimaging advancements. Identifying modifiable risk factors associated with dementia in these regions presents new avenues for prevention and intervention strategies. Current dementia research in Asia is concentrated in East Asia, with limited data from Southeast, South, and Central Asia. Comprehensive studies across all parts of Asia are crucial to establishing robust data collection methods and identifying modifiable risk factors. This can help manage and mitigate the growing burden of dementia in these societies.

Unravelling spatial scale effects on elevational diversity gradients: insights from montane small mammals in Kenya

BackgroundMontane ecosystems play crucial roles as global biodiversity hotspots. However, climatic changes and anthropogenic pressure increasingly threaten the stability of montane community dynamics, such as diversity-elevation interactions, creating a challenge in understanding species biogeography and community ecology dynamics in these crucial conservation areas. We examined how varying sampling spatial grains influence small mammal diversity patterns within Kenya’s tallest montane ecosystems.MethodsEmploying a combination of multidimensional alpha diversity metrics and multisite beta diversity characteristics (species richness, phylogenetic and functional diversity and divergence, and multisite beta diversity) alongside spatial generalized additive multivariate regression analyses, we tested how spatial scaling influences elevational diversity gradient patterns and their associations with environmental and human activity variables.ResultsThe diversity-elevation associations were generally homogeneous across spatial grains; however, idiosyncratic patterns emerged across mountains. The total (taxonomic, phylogenetic, and functional) beta diversity, nestedness, and turnover resultant components monotonically increased or decreased with varying spatial grains. The associations between the diversity patterns and the environmental and human footprint variables increased with spatial grain size but also presented variations across mountains and indices. Species richness and phylogenetic and functional richness indices were more strongly influenced by spatial scale variations than were the divergence and community structure indices in both the diversity distribution patterns and their associations with the environmental and human variables.ConclusionsThe diversity-elevation and diversity-environment (including human activity pressure) relationships across spatial grains suggest that montane small mammal diversity patterns portray subtle but systematic sensitivity to sampling spatial grain variation and underscore the importance of geographical context in shaping these elevational diversity gradients. For improved effectiveness, conservation efforts should consider these spatial effects and the unique geographical background of individual montane ecosystems.

Impact of Mobile Health Interventions on HIV Testing Rates among At-Risk Youths: A Review

HIV remains a significant global public health challenge, particularly among at-risk youths aged 15–24, who accounted for over 30% of new infections in 2022. Barriers such as stigma, socioeconomic disparities, and limited access to healthcare contribute to low HIV testing rates within this demographic. Mobile health (mHealth) interventions, which leverage the widespread use of mobile devices, offer innovative solutions to address these barriers by providing confidential, accessible platforms for HIV testing and care. This review explored the impact of various mHealth interventions, such as SMS-based reminders, mobile apps, and telehealth platforms, on HIV testing rates among at-risk youths in different regions. Several studies demonstrate significant increases in testing rates, with mHealth tools reducing barriers related to confidentiality, stigma, and geographical access. However, challenges remain, including digital access disparities, privacy concerns, and the sustainability of interventions. A comprehensive literature review of studies on mHealth interventions targeting at-risk youth populations were utilized in compiling this educating paper. Future research should focus on refining mHealth strategies, incorporating emerging technologies like AI, and ensuring interventions are tailored to specific cultural and geographical contexts. mHealth has the potential to play a crucial role in combating the HIV epidemic by empowering at-risk youths to access testing and care. Keywords: Mobile health (mHealth), HIV testing, At-risk youths, Digital health interventions. HIV prevention.

Exploring the Impact of Artificial Intelligence on Healthcare Management: A Combined Systematic Review and Machine-Learning Approach

The integration of artificial intelligence (AI) in healthcare management marks a significant advance in technological innovation, promising transformative effects on healthcare processes, patient care, and the efficacy of emergency responses. The scientific novelty of the study lies in its integrated approach, combining systematic review and predictive algorithms to provide a comprehensive understanding of AI’s role in improving healthcare management across different contexts. Covering the period between 2019 and 2023, which includes the global challenges posed by the COVID-19 pandemic, this research investigates the operational, strategic, and emergency response implications of AI adoption in the healthcare sector. It further examines how the impact of AI varies across temporal and geographical contexts. The study addresses two main research objectives: to explore how AI influences healthcare management in operational, strategic, and emergency response domains, and to identify variations in the impact of AI on healthcare management based on temporal and geographical contexts. Utilizing an integrated approach, we compared various prediction algorithms, including logistic regression, and interpreted the results through SHAP (SHapley Additive exPlanations) analysis. The findings reveal five key thematic areas: AI’s role in enhancing quality assurance, resource management, technological innovation, security, and the healthcare response to the COVID-19 pandemic. The study highlights AI’s positive influence on operational efficiency and strategic decision making, while also identifying challenges related to data privacy, ethical considerations, and the need for ongoing technological integration. These insights provide opportunities for targeted interventions to optimize AI’s impact in current and future healthcare landscapes. In conclusion, this work contributes to a deeper understanding of the role of AI in healthcare management and provides insights for policymakers, healthcare professionals, and researchers, offering a roadmap for addressing both the opportunities and challenges posed by AI integration in the healthcare sector.

Psychosocial factors of work-life balance and resilience among Malaysian working women: A qualitative approach

Regardless of cultural or geographical contexts, women worldwide often bear the primary responsibility for childcare and household management. For women pursuing careers, these responsibilities are amplified, creating a challenging dynamic as they strive to balance professional duties with domestic obligations. The onset of COVID-19 profoundly disrupted lives, with working women being particularly impacted. The pandemic necessitated a rapid transition to a "new normal," where remote work became the standard. This shift required women to juggle childcare, household chores, and professional tasks within the confines of the same physical space. Work-life balance refers to the equilibrium between personal, family, and professional responsibilities, while resilience is defined as an individual's capacity to cope with and recover from adversity. This paper examines the psychosocial factors contributing to work-life balance and resilience, which are vital for achieving a balanced and fulfilling life among working women in Malaysia. Data was collected through a qualitative approach using focus group discussions with eleven working women from diverse professional backgrounds, and the data was analyzed using thematic analysis. The findings reveal that the psychosocial factors affecting work-life balance and resilience are deeply interconnected. Three major themes emerged from the analysis: social support, individual factors, and spirituality. These factors enable working women to adapt, persevere, and thrive despite challenges, especially with the support of their families, including spouses and parents. This study underscores the critical role of psychosocial factors in enhancing work-life balance and resilience among working women, highlighting their importance in navigating the complexities of modern life.

The Exergo-Economic and Environmental Evaluation of a Hybrid Solar–Natural Gas Power System in Kirkuk

The increasing environmental challenges posed by the widespread use of fossil fuels and the fluctuating nature of renewable energy have driven the need for more efficient and sustainable energy solutions. Current research is actively exploring hybrid energy systems as a means to address these issues. One such area of focus is the integration of Organic Rankine Cycles (ORCs) with gas and steam turbines, utilizing both natural gas (NG) and solar parabolic trough collectors (PTCs) as energy sources. This study examines the performance of a hybrid system implemented in Kirkuk, Iraq, a region known for its substantial solar radiation. Previous research has shown that hybrid systems can effectively enhance energy conversion efficiency and reduce environmental impacts, but there is still a need to assess the specific benefits of such systems in different geographical and operational contexts. The analysis reveals a thermal efficiency of 59.32% and an exergy efficiency of 57.28%. The exergoeconomic analysis highlights the optimal energy cost at USD 71.93/MWh when the compressor pressure ratio is set to 8 bar. The environmental assessment demonstrates a significant reduction in CO2/emissions, with a carbon footprint of 316.3 kg CO2/MWh at higher compressor pressure ratios. These results suggest that integrating solar energy with natural gas can substantially improve electricity generation while being both cost-effective and environmentally sustainable.

Levelling up in a ‘decentralised’ England: place-based or ‘one-size-fits-all’ strategies?

ABSTRACT English policymaking has traditionally been centralised, assuming homogenous needs across regions and contributing to economic inequalities. The Levelling Up Agenda aims to address these disparities through a place-based approach using devolved Combined Authority (CA) organisations. Despite being the first national strategy with an extensive place-based focus, it faces criticism as a potentially centralised political tool. Concerns also exist about whether Combined Authorities can deliver regional economic development as they have centrally controlled aspects. If regional planning approaches are identical, decentralisation through Combined Authorities would essentially be futile. This paper uses a novel quantitative method with Strategic Economic Plans to determine if regional planning inhibits a place-based or ‘one-size-fits-all’ approach, contributing data-driven insights to the debate regarding the efficacy of Combined Authorities. Through exploratory text analysis, hierarchical and K-means clustering, findings indicate regions adopt place-sensitive planning with varying sector priorities. A northern-southern and an inland-coastal distinction emerge, with London as an outlier. This suggests Combined Authorities are fit for purpose at this quantitative clustering level and do consider their geographical context in planning despite a devolved yet centrally controlled oxymoronic landscape. Collaborations like an inland and a coastal CA network are recommended to potentially maximise place-based growth.

Bridging the AI Divide: Human and Responsible AI in News and Media Industries

Artificial intelligence (AI) is revolutionizing media and journalism, reshaping processes, content, and audience relationship. This editorial report discusses the opportunities and challenges AI brings to these industries raised by this collection of studies, emphasizing the importance of integrating ethical principles and human-centric approaches to its development. These articles examine how AI reshapes content creation, distribution, and audience interaction while addressing the ethical, political, and economic implications of its integration. Key contributions include discussions on the ethical challenges posed by AI—such as bias, transparency, and accountability—and the need for robust governance structures to foster trust and fairness in AI-driven media systems. A recurring theme in this issue is the AI divide, highlighting the disparity in access to AI technologies between the Global North and South. The special issue offers insights into how this divide exacerbates existing inequalities in media production and consumption. It also advocates for interdisciplinary approaches and collaborative efforts to ensure AI's benefits are equitably distributed across geographical and socio-economic contexts. By exploring both the opportunities and perils of AI adoption in media and news industries, this special issue serves as a comprehensive examination of the evolving relationship between AI, media, and society, offering pathways for responsible innovation and inclusive AI adoption worldwide.

What is the “best” way to measure the relative location variables in the market value assessment? An econometric method applied to an Italian case study

The present research is dedicated to investigating the explanatory power of relative location variables in assessing and forecasting market values. Here, relative location refers to the spatial position (geographical context) of a building or property in relation to a given Point Of Interest (POI). Specifically, a methodological approach is proposed for identifying the most suitable quantification modality based on statistical performance and consistency with the market mechanisms of the specific reference context. For a case study in Northern Italy, we collected data on 615 residential properties and 2673 POIs, including cultural facilities, school and education institutions, commercial services, sports, entertainment, and leisure facilities, health and care services, public transport systems, urban parks, and green areas. The relative location between the collected properties and the POIs is assessed using an automated calculation procedure developed in the Python programming language, in conjunction with Geographic Information Software (GIS). This automatism allows the assessment of relative location in terms of different Units Of Measure (UOM), such as straight-line distance, travel time by car, travel time on foot, travel time by public transport, and the number of POIs in a 400 m/1 km ring buffer. Since 615 residential buildings and 2673 POIs were analysed, with their relative locations measured using six different UOMs, a database of 9'865'215 data was produced. Furthermore, for each category of POI, a feature importance analysis guides the selection of the best UOM, i.e., the most statistically significant one. Considering the chosen UOM, an optimised econometric technique is finally implemented to analyse the functional relationships between the market values of residential properties and the set of identified relative location variables.

Image-Based Quantitative Analysis of Epidermal Morphology in Wild Potato Leaves.

The epidermal leaf patterns of plants exhibit remarkable diversity in cell shapes, sizes, and arrangements, driven by environmental interactions that lead to significant adaptive changes even among closely related species. The Solanaceae family, known for its high diversity of adaptive epidermal structures, has traditionally been studied using qualitative phenotypic descriptions. To advance this, we developed a workflow combining multi-scale computer vision, image processing, and data analysis to extract digital descriptors for leaf epidermal cell morphology. Applied to nine wild potato species, this workflow quantified key morphological parameters, identifying descriptors for trichomes, stomata, and pavement cells, and revealing interdependencies among these traits. Principal component analysis (PCA) highlighted two main axes, accounting for 45% and 21% of variance, corresponding to features such as guard cell shape, trichome length, stomatal density, and trichome density. These axes aligned well with the historical and geographical origins of the species, separating southern from Central American species, and forming distinct clusters for monophyletic groups. This workflow thus establishes a quantitative foundation for investigating leaf epidermal cell morphology within phylogenetic and geographic contexts.

Communication dynamics and media interactions of young adults who have attempted suicide: a qualitative thematic analysis

ObjectiveThe study examines the potential effects of communication processes and media consumption habits on suicide ideation among male and female young adults aged 18–29 who have attempted suicide at least once.MethodsIn-depth interviews were analyzed using MAXQDA Analytics Pro 2024, and thematic analysis was applied according to Braun and Clarke’s model.ResultsFour themes emerged: (1) Family-related factors, (2) sociopsychological factors, (3) sociocultural factors, and (4) media-related factors. Regarding family-related factors, most participants come from broken family structures and commonly report issues with family communication and experiences of violence. Regarding sociopsychological factors, anger issues, despair, and addictions among participants were observed to increase suicide tendencies. Regarding sociocultural factors, most participants expressed difficulties in conforming to society and feeling pressures from cultural or religious expectations. Regarding media-related factors, it was noted that a vast majority of participants spend long hours consuming media daily and frequently interact with content that leads them into adverse emotional states, primarily for time passing on social media platforms.DiscussionThis research not only reinforces information in the literature but also presents unique findings compared to similar studies, particularly in cultural and geographical contexts. The results uniquely highlight the diversity in perceptions of the relationship between religion and suicide. While literature generally notes religion as a deterrent to suicide, this study reveals that intense religious pressure could increase suicidal tendencies through effects like rejection and hatred of religious values. Media also plays a reinforcing role in this context.ConclusionIn conclusion, this study elucidates the complex interactions underlying suicide attempts among young adults and provides a solid foundation for policies and interventions aimed at better managing media interactions, which play a critical role in suicide prevention efforts.

Combining OpenStreetMap mapping and route optimization algorithms to inform the delivery of community health interventions at the last mile.

Community health programs are gaining relevance within national health systems and becoming inherently more complex. To ensure that community health programs lead to equitable geographic access to care, the WHO recommends adapting the target population and workload of community health workers (CHWs) according to the local geographic context and population size of the communities they serve. Geographic optimization could be particularly beneficial for those activities that require CHWs to visit households door-to-door for last mile delivery of care. The goal of this study was to demonstrate how geographic optimization can be applied to inform community health programs in rural areas of the developing world. We developed a decision-making tool based on OpenStreetMap mapping and route optimization algorithms in order to inform the micro-planning and implementation of two kinds of community health interventions requiring door-to-door delivery: mass distribution campaigns and proactive community case management (proCCM) programs. We applied the Vehicle Routing Problem with Time Windows (VRPTW) algorithm to optimize the on-foot routes that CHWs take to visit households in their catchment, using a geographic dataset obtained from mapping on OpenStreetMap comprising over 100,000 buildings and 20,000 km of footpaths in the rural district of Ifanadiana, Madagascar. We found that personnel-day requirements ranged from less than 15 to over 60 per CHW catchment for mass distribution campaigns, and from less than 5 to over 20 for proCCM programs, assuming 1 visit per month. To illustrate how these VRPTW algorithms can be used by operational teams, we developed an "e-health" platform to visualize resource requirements, CHW optimal schedules and itineraries according to customizable intervention designs and hypotheses. Further development and scale-up of these tools could help optimize community health programs and other last mile delivery activities, in line with WHO recommendations, linking a new era of big data analytics with the most basic forms of frontline care in resource poor areas.

Investigating awareness and implementation of adrenaline auto-injectors (AAI) via the ‘Spare Pens in Schools’ scheme in Wales: a cross-sectional pilot study

ObjectiveTo investigate awareness and implementation of the Spare Pens (ie, adrenaline auto-injectors (AAIs)) scheme in primary and secondary schools in two regions in Wales.DesignA cross-sectional pilot study employing a mixed...

Initial upper Palaeolithic on the Iranian Plateau: Sorheh Rockshelter, Southern Alborz mountains

The Late Pleistocene of southwestern Asia witnessed hominin diversification, admixture, and adaptation to new environments. The Iranian Plateau in southwestern Asia lies at the crossroads between Africa, Europe, Central Asia, and the Far East, and therefore, has contributed substantially to the history of hominin migration. On the Iranian Plateau, the Middle to Upper Palaeolithic transition is a puzzling phase that lacks chronological precision and stratified archaeological materials. The timing and geographical context of this transition are essential for understanding the spread of modern humans and their interactions with other species, including the Neanderthals. Sorheh Rockshelter in the southern piedmonts of the Alborz Mountains on the northern Iranian Plateau is a newly discovered site on high altitude of 1903 m asl., with the potential to answer some of these questions. In 2019 and 2022, excavations at Sorheh revealed distinct hominin behavioural and settlement systems, falling under the description of the Initial Upper Palaeolithic in the Levant, eastern Europe, Siberia, and Mongolia. In the chronological window covered at Sorheh (∼50–35 ka), the Upper Palaeolithic cultures had already been developed in other regions of the Iranian Plateau. The new data we obtained from Sorheh determines, for the first time, a physiogeographic, chronostratigraphic, and anthropogenic picture of the Initial Upper Palaeolithic on the Iranian Plateau, filling the gap in the distribution of this techno-complex between the Levant and eastern Eurasia. Deciphering the Initial Upper Palaeolithic in Sorheh indicates the complex and diverse nature of hominin behaviours during the transitional Middle-Upper Palaeolithic phase and reveals the critical role of the northern Iranian Plateau in hominin expansion towards Central Asia.

Unravelling the Dynamics of Necessity-Driven Entrepreneurs (NDEs) and Opportunity-Driven Entrepreneurs (ODEs): A Study of Immigrant Micro Enterprises (IMEs) in the Hospitality Industry

The purpose of the study is to investigate the notion of Necessity-driven Entrepreneurs (NDEs) and Opportunity-driven Entrepreneurs (ODEs) among IME (Immigrant Micro Enterprise) owners in the hospitality industry and how changes in motivational traits influence business practices, innovation, and growth aspirations. In many geographical contexts, the ever-challenging hospitality industry is dominated by businesses that are immigrant-owned and of micro sizes that experience additional challenges compared to their native and large counterparts. Through qualitative research and interviews with 18 owners of restaurants and eateries in the IME category in eastern Norway, the study found that while NDE traits are dominant during start-ups, ODE traits also exist, revealing a dynamic relationship between the two and thus problematic to classify hospitality IMEs as either NDE or ODE. Experiences and close customer interactions rather than formal R&D activities inspire changes and innovations in business practices, growth aspirations, and perceptions of success. This study offers new insights into hospitality IME owners’ motivations and goals, which may be relevant in other similar industries and geographical contexts. It underscores the importance of understanding the interplay of NDE and ODE traits among IME owners and their impact on business success in the challenging industry in which they operate.