Variety Of Perspectives Research Articles

Contextualising knowledge translation in nursing homes: A transdisciplinary online workshop

Few studies describe workshops as a method for obtaining and integrating diverse participant perspectives for contextualisation. This article describes an online workshop as a transdisciplinary data collection method for contextualising theoretical elements of a framework for knowledge translation to improve wound care in South African nursing homes. Knowledge translation can be more effective when the theoretical components are contextualised and aligned with the specific needs in the context. The online workshop was conducted with 10 participants involved with wound care and change processes in nursing homes across South Africa. The participants consisted of healthcare professionals, family members of those in care and nursing home management staff. Participatory design principles were applied during the online workshop, which was hosted on BlackBoard CollaborateTM Ultra. In this qualitative study, live polls, facilitated discussion, virtual whiteboard posts, and breakaway activities were used to collect the data. The data were analysed and integrated using both deductive and inductive processes for a comprehensive understanding. The workshop enabled the researchers to ascertain integrated perspectives to contextualise the knowledge translation framework’s elements. Barriers to evidence-based wound care in nursing homes and nine values for dignified care for older persons were identified.Transdisciplinary contribution: This article shows how an online workshop was conducted with a group of participants from various healthcare disciplines, family members and institutional management to achieve a contextualised and pragmatic description of theoretical elements. Contextualisation aims to enhance the effectiveness of a knowledge translation framework for use in nursing homes.

Resilience Mechanisms and Coping Strategies for Forcibly Displaced Youth: An Exploratory Rapid Review.

Context: The global escalation of conflict, violence, and human rights violations sets a pressing backdrop for examining the resilience of forcibly displaced youth (FDY) in Canada. This study aims to unpack the multifaceted challenges and resilience mechanisms of FDY, focusing on their health, well-being, and integration into host communities. It seeks to identify current models of resilience, understand the factors within each model, and highlight gaps and limitations. Methodology: Using a university librarian-supported structured search strategy, this exploratory rapid review searched literature from Ovid Medline and open-source databases, published in English between January 2019 and January 2024, that fit specific inclusion criteria. The eligible articles (N = 12 out of 4096) were charted and analyzed by two student researchers with the Principal Investigator (PI). Charted data were analyzed thematically. Results: The selected studies captured diverse geographical perspectives, resilience models (such as Ungar's ecological perspective and Masten's resilience developmental models), as well as protective and promotive frameworks. Key findings indicate the complexity of resilience influenced by individual, familial, societal, and cultural factors. Each model offers insights into the dynamic interplay of these influences on FDY's resilience. However, these models often fall short of addressing the nuances of cultural specificity, the impact of trauma, and the intersectionality of FDY's identities. Conclusions: Recognizing the diverse and evolving nature of FDY's coping mechanisms, this study advocates for a culturally appropriate approach to resilience that integrates an intersectionality framework of individual attributes and culturally sensitive models.

Sentiment analysis of post-COVID-19 health information needs of autism spectrum disorder community: insights from social media discussions.

This study explores the health information needs of individuals with autism spectrum disorder (ASD) and their caregivers in the post-COVID-19 era by analyzing discussions from Reddit, a popular social media platform. Utilizing a mixed-method approach that integrates qualitative content analysis with quantitative sentiment analysis, we analyzed user-generated content from the "r/autism" subreddit to identify recurring themes and sentiments. The qualitative analysis uncovered key themes, including symptoms, diagnostic challenges, caregiver experiences, treatment options, and stigma, reflecting the diverse concerns within the ASD community. The quantitative sentiment analysis revealed a predominance of positive sentiment across discussions, although significant instances of neutral and negative sentiments were also present, indicating varied experiences and perspectives among community members. Among the machine learning models used for sentiment classification, the Bi-directional Long Short-Term Memory (Bi-LSTM) model achieved the highest performance, demonstrating a validation accuracy of 95.74%. The findings highlight the need for improved digital platforms and community resources to address the specific health information needs of the ASD community, particularly in enhancing access to reliable information and fostering supportive environments. These insights can guide future interventions and policies aimed at improving the well-being of autistic persons and their caregivers.

Examining the Mediating Role of Attachment Styles Between Perceived Partner Responsiveness and Marital Satisfaction: Evidence from Sikkimese Couples

The dyadic study investigated how attachment (avoidance and anxious styles) mediates the relationship between perceived partner responsiveness and marital satisfaction with a sample of 152 couples from Northeast India. Data were collected through door-to-door surveys, and analysis was conducted using the Actor and Partner Interdependence Mediation Model (APIMeM). Results indicate that husbands’ avoidance attachment played a mediating role between the couples’ perceived partner responsiveness and husbands’ marital satisfaction, while anxious attachment showed no mediating relationship. These findings suggest that interventions aimed at reducing avoidant attachment behaviors could enhance marital satisfaction, particularly in cultural contexts similar to Northeast India. These insights, discussed within the framework of the Attachment Security Enhancement Model (ASEM), highlight the importance of understanding cultural nuances in relationship dynamics. The study emphasizes the importance of considering diverse perspectives beyond traditional West vs East frameworks when examining relationship dynamics.

Dealing with differences (2) inclusive education: Diverse perspectives and pedagogies

Dealing with differences (2) inclusive education: Diverse perspectives and pedagogies

Earth science for all? The economic barrier to European geoscience conferences

Abstract. Scientific meetings are vital for research development and networking. However, these events often reflect unconscious biases and barriers to diversity, particularly affecting marginalized groups. The future success of the geosciences depends on diversity, which enhances problem-solving and innovation through varied perspectives. This study examines the attendance diversity at the European Geosciences Union (EGU) General Assembly from 2005 to 2024, focusing on the impact of economic factors, distance, and population size on participation. Using publicly available data from the World Bank and the EGU, this study finds that gross national income (GNI) is the primary determinant of attendance, especially post-COVID. Distance also influences attendance but to a lesser extent, while population size shows a weak correlation. To improve diversity in academic conferences, we suggest facilitating donations, offering affordable accommodations, establishing additional travel funds, and rotating the conference location. Our actions must go beyond the EGU General Assembly and other geoscience conferences, as these actions can also help dismantle barriers to inclusivity in other areas of our community. By addressing these financial and systemic barriers, geoscience conferences can become more inclusive, benefiting the entire scientific community.

Improving students' openness to artificial intelligence through risk awareness and digital literacy: Evidence form a developing country

The integration of technology, particularly artificial intelligence (AI) in learning process has the potential to enhance learning efficiency by offering diverse perspectives and quick information access. However, this reliance on AI can lead to overdependence, thereby diminishing the overall learning experience. This study aims to explore student acceptance and risk factors for learning using AI through the Technology Acceptance Model (TAM). This cross-sectional study surveyed 218 accounting students using a structured questionnaire. The internal consistency of latent constructs was verified through Cronbach's alpha, followed by exploratory factor analysis to ensure the unidimensionality of these constructs. The theoretical framework was tested using Partial Least Squares - Structural Equation Modeling (PLS-SEM). The result suggests that students with higher self-confidence demonstrate greater enthusiasm for learning AI, while digital literacy significantly influences the perceived ease of use. While accessibility is not prioritized, functionality and information accuracy are deemed more critical. The research model posits that perceived usefulness, perceived ease of use, self-efficacy, digital literacy, and perceived risk impact student acceptance of AI. Perceived usefulness and self-efficacy positively influence student acceptance, while perceived risk has a negative impact. Furthermore, it emphasizes the importance of increasing basic technological literacy among students in online learning environments. Despite these insights, the study is limited by its focus on accounting students, and future research should consider a broader demographic. This study contributes to the existing literature by highlighting the role of digital literacy and self-efficacy in AI adoption, offering valuable implications for educators and AI service providers.

Digital twins and biodiversity: a conceptual framework of opportunities and challenge

PurposeThe intersection of digital twins and ecological diversity offers a new and complex landscape that requires interdisciplinary investigation. Recognizing the urgent need for a nuanced approach to the ethical, technological and practical challenges in this area, this paper presents a conceptual framework that serves as a roadmap for future research and policymaking.Design/methodology/approachThis study employs a conceptual methodology deeply rooted in interdisciplinary perspectives. A systematic literature review was conducted using the Scopus database to identify relevant articles. The selected articles were rigorously analyzed to derive key dimensions, which were then validated through expert panel reviews and a pilot study.FindingsOur framework identifies seven critical dimensions: Data Acquisition and Simulation, Impact Assessment, Ecological Protection and Management, Ethical and Legal Considerations, Social and Cultural Impacts, Technological Feasibility and Limitations and Policies and Regulations. These dimensions provide a comprehensive structure for understanding and addressing the intersection of digital twins and biodiversity conservation.Originality/valueThis study contributes a foundational guide for sustainable and ethical engagement between digital twins and biodiversity conservation. It offers a novel, interdisciplinary framework that integrates diverse perspectives and provides practical insights for scholars, policymakers and practitioners in this emerging field.

Impacto de los videojuegos narrativos en la percepción del patrimonio cultural: un análisis cualitativo de Assassin's Creed en estudiantes universitarios

Research on the interaction of students with educational video games that integrate elements of cultural heritage remains limited. Generally, studies focus on the mediation of educators in this interaction or on the direct analysis of the games. This has created a gap in our understanding of the meanings that students develop on their own while playing these video games. This study, based on qualitative interviews, examines the video game franchise Assassin's Creed, which recreates various historical periods and cultures through detailed narratives and settings. Participants indicated that the game offered them an immersive perspective on cultural heritage, different from the traditional educational experience in classrooms. They expressed a personal connection with non-playable characters (NPCs) and gained a more detailed and realistic understanding of the diverse perspectives in these natural, cultural, and social environments. Furthermore, they were willing to let their perceptions of cultural heritage be shaped by the game and reflected on the ethical and social implications of heritage representation in digital media. However, they showed a tendency to overlook opportunities for a more critical and in-depth analysis of these digital experiences. This highlights the need to explore strategies to foster a critical approach in the study of gaming experiences and underscores the importance of strengthening the human connection with heritage in heritage education.

Striking the balance: Fiqh Bi’ah and Productive Waqf Forests (PWFs) for sustainable forest management in Indonesia

Purpose This study aims to address the challenge of balancing economic development with environmental protection in the context of productive waqf forests (PWFs). The inherent tension between forest productivity and protection necessitates a model that ensures sustainable utilization. This research proposes a novel framework by integrating fiqh bi'ah (Islamic environmental jurisprudence) with a model for PWFs development. Design/methodology/approach Using a qualitative approach, the analytical network process (ANP) analyzes data gathered through a literature review of Islamic environmental jurisprudence (fiqh bi'ah) on environment and waqf, in-depth interviews and focus group discussions with academics, practitioners and regulators in fiqh bi'ah and waqf forest management. Findings Three potential PWFs development models emerge from the fiqh bi'ah literature; Harim (maintaining the natural forest state for intangible benefits like oxygen and biodiversity), Hima (sustainable utilization of forest products while preserving ecological components) and Ihya’ al-mawat (developing unproductive land into a future forest). The ANP analysis reveals that Hima is the most preferred model by all stakeholders, followed by Ihya’ al-mawat. The Harim model received lower preference due to limited economic potential. Additionally, experts suggest tourism-based forest management as the most suitable approach for all three PWFs models. Originality/value This study offers a novel PWFs development model grounded in fiqh bi'ah principles. By using ANP to integrate diverse stakeholder perspectives, the research provides valuable insights for sustainable and ethical management of PWFs resources, contributing to the literature on Islamic finance and business models.

Finding the new potential research on diabetic kidney disease and hemodialysis in healthcare insurance databases: A bibliometric analysis

To the best of our knowledge, bibliometric analysis has not been performed for studies related to diabetic kidney disease (DKD) and hemodialysis using healthcare big data. Herein, the aim of this bibliometric analysis was to identify emerging research trends in DKD and hemodialysis within healthcare insurance databases by exploring authors, co-author networks, and countries to discover new potential research areas. A bibliometric study was conducted, utilizing data obtained from the Scopus database. Keywords such as diabetic kidney disease, hemodialysis, insurance or big data, and prediction were employed. Inclusion criteria were original articles and review articles written in English published between 2010 and 2022. VOSviewer and the Bibliometrix package in R were used for comprehensive bibliometric analysis. VOSviewer facilitated keyword co-occurrence analysis to identify clusters and visualize relationships among keywords, emphasizing distinct research themes, keyword density, and network visualization. Meanwhile, Bibliometrix allowed exploration of key metrics such as prolific authors and institutions, publication trends, co-authorship networks, citations, document types, emerging trends through keyword analysis, and network visualizations, including co-authorship and keyword co-occurrence. Results from both tools were integrated for a thorough analysis. The present study yielded 2,199 articles, which was reduced to 1,828 after removing duplicates and applying inclusion criteria. This bibliometric analysis found that machine learning and artificial intelligence are emerging yet remain relatively under-researched in the context of hemodialysis and DKD. The prominence of topics such as diabetic nephropathy, non-insulin treatments, and lifestyle modifications highlighted ongoing research priorities in DKD and hemodialysis. Taiwan's dominance in publications suggested robust research activity in this field, while international collaboration underscored global interest and the potential for diverse research perspectives. The need for similar research development in Indonesia, leveraging big data and machine learning, indicates opportunities for advancing the understanding and management of DKD and hemodialysis within the region.

"This Verdict was Created with the Help of Generative AI...?" On the Use of Large Language Models by Judges

In selected jurisdictions like the USA, China, and Singapore, the integration of AI into judicial proceedings has become a tangible reality. Algorithms play a pivotal role in supporting decision-making processes during the formulation of judicial verdicts. Large Language Models (LLMs), such as ChatGPT, are also being increasingly used by judges, often in circumstances where the legal parameters surrounding their usage remain unclear. This comment delves into the realm of interdisciplinary research inquiries surrounding the application of AI in the judiciary. It begins by exploring how judges currently use ChatGPT in rendering verdicts within cases that have been publicly disclosed so far. Subsequently, it navigates through the array of questions different disciplines might pose concerning this development and discusses strategies for harmonizing these diverse perspectives in collaborative projects, potentially employing frameworks like the “orders of change” taxonomy. The article concludes with a call for increased research endeavors, particularly emphasizing the need for interdisciplinary cooperation to comprehensively address the application of AI in the judiciary.

Barriers and enablers to a coordinated MHPSS response in Lebanon: A case study of the MHPSS Taskforce

During humanitarian crises, under-resourced and overstretched health systems may not be able to fully meet mental health and psychosocial support (MHPSS) needs of affected populations, including refugees, internally displaced persons and host communities. Health system governance is vital to humanitarian health response, but there has been little research on this, particularly for MHPSS. We present a case study of a national MHPSS coordination mechanism (the MHPSS Taskforce) in Lebanon, a country which has experienced multiple crises and hosts over 2 million refugees. The aim was to explore the barriers and enablers facing the MHPSS Taskforce in responding to the needs of displaced and host populations in Lebanon. Interviews were conducted with 34 key stakeholders, including Taskforce members, representatives from non-governmental organisations, United Nations agencies, and government Ministries. Our findings show that the positioning of MHPSS within the humanitarian cluster system acts as a barrier to mounting an effective response, with the MHPSS Taskforce sometimes siloed rather than integrated across clusters. Coordination within the Taskforce was reported to be effective in some respects, but limited by a lack of clarity about its decision-making processes, affiliation, mandate, and inclusion of regional perspectives and key groups such as mental health services users in Lebanon. While the technical capacity of the Taskforce is strong, limited funding and staffing were seen to impact its capacity to effectively oversee the MHPSS response in Lebanon. Key recommendations include: the need for stronger mechanisms and operating procedures for interagency and inter-sectoral collaboration on MHPSS within the humanitarian cluster system; greater clarity on the role of the Taskforce and key Taskforce actors, streamlined reporting channels and greater inclusion of diverse perspectives, particularly mental health service users; and greater financial and human resources within coordination mechanisms to support the national MHPSS response in Lebanon.

Perspectives on Suicide: Bosnian and Herzegovinian and Croatian views from the 1880s to the 1930s

The phenomenon of suicide is a profoundly intricate topic, influenced by a myriad of factors encompassing biological, biochemical, cultural, sociological, interpersonal, psychological, philosophical, conscious, and unconscious components. The examination of press publications, patient records from Croatian psychiatric institutions, and scholarly discourse on suicide in medical literature dating back to the late 19th and the early 20th century reveals that among the diverse perspectives of journalists and psychiatrists of that era, there are notable variations in terms of defining the reasons for suicide attempts. The absence of consistent explanations underscores the enigmatic nature of the ultimate resolution end one’s life. Although numerous experts and laypeople have claimed to know the exact motives behind someone resorting to suicide, some have continued to look for an explanation in otherworldly forces or individuals with supernatural powers. In essence, the multifaceted nature of suicide necessitates a nuanced and comprehensive approach, integrating various disciplines and perspectives to attain a deeper understanding of this phenomenon.

Correlates of spatial structure variability in Bushehr port-city: A comprehensive analysis using fuzzy cognitive mapping methodology

It is critical for urban and regional planners to examine spatial relationships and interactions between a port and its surrounding urban areas within a region’s spatial structure. This paper seeks to develop a targeted framework of causal relationships influencing the spatial structure changes in the Bushehr port-city. Hence, the study utilizes Fuzzy Cognitive Maps (FCMs), a computational technique adept at analyzing complex decision-making processes. FCMs are employed to identify concepts that act as drivers or barriers in the spatial structure changes of Bushehr port-city, thereby elucidating the causal relationships within this context. Additionally, the study evaluates these concepts’ relative significance and interrelationships. Data was collected through interviews with ten experts from diverse backgrounds, including specialists, academics, policymakers, and urban managers. The insights from these experts were analyzed using FCMapper and Pajek software to construct a collective FCM, which depicts the influential and affected concepts within the system. The resulting collective FCM consists of 16 concepts, representing the varied perspectives and expertise of the participants. Among these, the concepts of management and planning reform, economic growth of the city-port, and port development emerged as the three most central concepts. Moreover, the effects of all influential concepts on the spatial structure change in Bushehr port-city were evaluated through simulations conducted across four different scenarios. The analysis demonstrated that the system experiences the most significant impact under the fourth scenario, where the most substantial changes are observed in commercial and industrial growth and the planning of port-city separation policies.

A proposed model to measure the maturity level for social, organizational and technological determinant factors of social entrepreneurships

Purpose The primary aim of this study is to create a comprehensive model quantifying the maturity levels of key determinants crucial for the sustained success of public sector entrepreneurship (PSE) [social entrepreneurship (SE)]. By integrating social, organizational and technological elements with Max-Neef's human needs, the model offers a holistic perspective for SE measurement. Notably, it emphasizes Max-Neef's existential needs (being, having, doing, interacting) to analyze variables crucial for sustainability, from diverse perspectives within SE. Design/methodology/approach This study presents a quantitative approach to develop a maturity model for assessing SE based on Max-Neef's human needs. The model integrates social, organizational and technological dimensions, using K-means algorithm for data processing. A panel of experts assigns weights to variables, and the maturity levels are adapted from the Capability Maturity Model. Data from 47 SEs in Ecuador's Zone 6 inform model construction, validated with two textile sector SEs. The methodology comprises three stages: variable selection, model construction and nonprobabilistic sample validation in Zone 6. Findings The research yields a maturity model enabling the quantification of PSE entrepreneurship maturity over time. It incorporates social, organizational and technological variables with Max-Neef's human needs, providing a broader perspective for SE evaluation. The model allows assessing the maturity level of each determinant, performance per variable in a Likert Scale, and facilitates comparisons between individual entrepreneurship and the overall population or sample. Visualization is enhanced through a color scale based on the Capability Maturity Model. Research limitations/implications Limitations may stem from the nonprobabilistic convenience sample used for validation, potentially affecting the generalizability of findings. The model's application is specific to Zone 6 of Ecuador and may require adjustments for broader contexts. Although the K-means algorithm aids data processing, its limitations should be considered. Future research could explore the model's applicability in diverse geographical and sectoral settings for a more comprehensive understanding. Practical implications This research has led to the development of a model that quantifies the maturity level of key determinants crucial for the long-term sustainability of PSE. This model integrates elements from social, organizational and technological dimensions, offering a comprehensive framework for assessing SE. Social implications This model offers valuable insights for the development and sustainability of social entrepreneurship by providing a structured approach to measure and enhance key social, organizational and technological determinants. By integrating Max-Neef's framework of human needs, the model helps social enterprises better align their efforts with fundamental human needs, ensuring that initiatives not only address societal challenges effectively but also contribute to long-term social well-being. This approach encourages the development of more resilient and impactful social enterprises that are capable of adapting to diverse socioeconomic contexts. Originality/value The model's uniqueness lies in its integration of social, organizational and technological variables with Max-Neef's human needs, offering a nuanced assessment of PSE entrepreneurship determinant factors from a human perspective. By applying existential needs (being, having, doing, interacting) as analysis levels, the model provides a distinctive and insightful approach to evaluating the impact of key variables. Its value lies in identifying strengths and weaknesses in each entrepreneurship, guiding support strategies and informing discussions for constructing effective public policies.

Flame‐Retardant Polymer Electrolyte for Sodium‐Ion Batteries

AbstractSodium‐ion batteries present an appealing option for large‐scale energy storage applications due to their high natural abundance and low production costs. However, the safety issue remains a major obstacle in current development, primarily owing to the use of liquid electrolytes (LEs), which can lead to leakage and combustion. To achieve both high energy density and enhanced safety, researchers are increasingly focusing on solid‐state electrolytes (SSEs). Solid‐state polymer electrolytes (SPEs) have garnered notable attention due to their superior mechanical flexibility and electrochemical stability. Nonetheless, traditional SPEs can also undergo combustion and decomposition under extreme conditions due to polymer inherent flammability. Therefore, it is imperative to conduct research and design flame‐retardant SPEs in order to enhance their reliability and safety in practical applications. This review provides a comprehensive overview of the mechanisms underlying battery thermal runaway and offers guidance for designing batteries with enhanced safety. In addition to reviewing recent advancements in flame‐retardant polymer solid‐state sodium battery research, it also presents a systematic classification and introduction of studies on high‐safety polymer electrolytes. Furthermore, it delves into diverse perspectives and approaches towards addressing the issue of safety in polymer sodium battery, ultimately outlining future research directions for this particular field.

The Immigration‐Related Political Ideology Scale: Development, factor structure, and validity evidence

AbstractThe aim of the present study was to develop and validate the Immigration‐Related Political Ideology Scale (IRPIS), designed to measure diverse political perspectives on immigration among US voters. The IRPIS was developed following a series of focus groups and refined through a systematic item‐generation process involving expert panels. The scale was validated using a two‐step factor analysis with a nationally representative sample of 1292 US voters, divided into exploratory (n = 632) and confirmatory (n = 660) sub‐samples. The exploratory factor analysis identified seven distinct factors: conservative views, welcoming attitudes, world regions, flexibility, assimilationist expectations, multicultural expectations, and undocumented immigrant rights. Confirmatory factor analysis provided an acceptable fit (CFI = .901; RMSEA = .050), and the scale demonstrated high internal consistency (Cronbach's alphas ranging from .89 to .97). Inter‐factor correlations varied, with strong links observed among welcoming attitudes, flexibility, and multicultural expectations (r’s > .80), confirming a polarization between liberal and conservative stances on immigration. These findings suggest that the IRPIS is the first scale specifically designed to assess immigration‐related political orientations in a polarized US context. This tool has important implications for political strategy and policymaking, especially in the context of rising immigration rates and political polarization.Public Significance StatementThe present study validates the Immigration‐Related Political Ideology Scale (IRPIS) using a nationally representative sample of 1292 US voters. Immigration remains a highly polarizing issue, with deeply entrenched ideological differences influencing policy preferences and public discourse. Exploratory factor analysis identified seven distinct factors and confirmed a clear polarization between liberal and conservative views on immigration. The IRPIS represents a critical tool for research, political strategy, and policymaking.

CSR as a catalyst: Examining the effects of board gender diversity on earnings management

AbstractThe importance of board gender diversity (BGD) is well recognized due to its potential to enhance corporate governance and bring diverse perspectives to decision‐making processes. However, empirical evidence on its benefits, particularly for earnings management (EM), remains inconclusive, reflecting the complex dynamics within corporate boards. Given the inconsistent BGD–EM relationship, researchers are left to examine how, if at all, the two are associated, often encountering mixed results that complicate the narrative. Building on agency and stakeholder perspectives, this paper provides deeper insights into the BGD–EM relationship, emphasizing the mediating role of corporate social responsibility (CSR) as a catalyst that enables BGD to impact EM. We sample 10,252 firm‐year observations from publicly listed firms in 15 European countries from 2010 to 2020. The results show that BGD positively impacts CSR performance by indicating that diverse boards prioritize and implement socially responsible initiatives, leading to strategies that constrain EM practices through a culture of transparency and accountability. The results suggest that women directors are committed to enhancing CSR performance and restraining unethical activities such as financial manipulation and EM, reflecting their tendency to uphold higher ethical standards. Our findings alert firms to the need to focus not only on the importance of BGD but also on CSR activities to ensure higher earnings reporting quality and curb EM practices. By integrating BGD and CSR into their core strategies, firms can create a robust framework that mitigates the risks associated with EM. The results also have important implications for regulators, policymakers, and managers in understanding the drivers of higher EM practice quality. The results highlight the need for regulatory frameworks that encourage gender diversity and CSR, thereby promoting sustainable and ethical business practices.

Beyond the Digital: Analogue Games´ Creative Potential in Deepening Data Literacy

: In an era where digital technology often dominates the educational landscape, the enduring appeal and educational potential of analogue learning games remain significant. These traditional, non-digital games, offer a tactile and interactive approach to learning that is both unique and impactful. Unlike their digital counterparts, analogue games require physical presence and direct interaction, which bring benefits to the educational process (Ribeiro, 2019; Medeisiene et al., 2021). This small case study explores, through a sociocultural lens, how analogue learning games influence creative learning processes in Continuing Education students. The results of a questionnaire to 43 participants enrolled in a course on Data Literacy in Norway, show that analogue learning games promote active engagement, foster social interaction, and stimulate innovative thinking connected to the course content when the setting around the activity feels safe for the participants. Participants also expressed that the tactile and social nature of analogue games encouraged more profound group discussions, leading to diverse perspectives and novel ideas. This resonates with findings from Medeisiene et al. (2021) who highlight the pedagogical value of game-based learning in enhancing engagement. These interactions not only bolstered creativity but also enhanced and deepened understanding and retention of knowledge from the Data Literacy course content. Moreover, the study highlights the importance of context and facilitation in maximising the benefits of analogue games for Continuing Education students. The findings suggest a promising avenue for further exploration into using analogue games in educational contexts. The study concludes with advocating conducting more research on the integration of learning games into continuing education curricula as a strategy to leverage the benefits of social interaction and active engagement, and to enhance creative learning that can deepen learning of course content.