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This paper investigates how capital-intensive companies, especially in the automotive sector, navigate the challenge of balancing significant technological investments against market demands for asset-light strategies. It examines the use of innovation platforms as a strategic solution for mediating these goal conflicts and sustaining competitiveness in a technology-driven market.

The study analysed 286 automotive companies from Europe, North America and Asia through a quantitative survey conducted in 2022, focusing on companies using innovation platforms. It applied partial least squares structural equation modelling (PLS-SEM) to assess the relationships between the use of innovation platforms, relational rents and performance.

The research found that companies using innovation platforms can achieve early-stage relational rents through partnerships and resource sharing, although these benefits have not yet translated into profitability. Companies in the sample are still developing their partner network, and while they experience collaborative advantages, they face initial challenges in converting these into financial gains. The study highlights the critical role of scaling in the network, complementarities in production, limiting the outflow of resources and capabilities besides modularisation in achieving long-term profitability.

This study contributes to the literature by providing empirical evidence on how capital-intensive companies use innovation platforms to balance technological investments and asset-light pressures, a topic with limited previous research. It underscores the long-term potential of such digital platforms in innovation ecosystems in generating value and the need for patient investment in promising platform effects. The findings support the strategic value of innovation platforms as capital-intensive industries face intensified competition from high-technology companies.

The increasing adoption of generative artificial intelligence (GenAI) tools in university education has raised significant ethical concerns regarding academic integrity and fairness. This study aims to address these concerns by reviewing existing models and frameworks for ethical GenAI use and proposing a preliminary roadmap to establish ethical standards for GenAI use in higher education.

This study reviews current models and frameworks for ethical GenAI use, identifying their strengths and limitations. Based on this literature review and an approach combining interpretative phenomenological analysis and a hybrid phenomenological qualitative method, a six-phase roadmap is proposed, consisting of awareness and understanding, policy development, curriculum integration, technology and infrastructure, continuous evaluation and adaptation and collaboration and outreach.

This paper emphasizes the need for clear policies, interdisciplinary curriculum integration, robust technological infrastructure and ongoing stakeholder collaboration. Practical recommendations are provided for each phase of the roadmap, offering strategic guidance for universities to navigate the ethical complexities of GenAI implementation.

The proposed roadmap serves as a foundational step for developing policies and guidelines that ensure GenAI supports academic integrity and fosters innovative learning environments. Future research will focus on empirical validation and refinement of the roadmap to enhance its applicability and effectiveness in diverse educational contexts.

Many studies have examined pre-diploma students' backgrounds and academic performance with results showing that some did not achieve the expected level of competence. This study aims to examine the relationship between students’ demographic characteristics and their academic achievement at the pre-diploma level using machine learning.

Secondary data analysis was used in this study, which involved collecting information about 1,052 pre-diploma students enrolled at Universiti Teknologi MARA (UiTM) Pahang Branch between 2017 and 2021. The research procedure was divided into two parts: data collecting and pre-processing, and building the machine learning algorithm, pre-training and testing.

Gender, family income, region and achievement in the national secondary school examination (Sijil Pelajaran Malaysia [SPM]) predict academic performance. Female students were 1.2 times more likely to succeed academically. Central region students performed better with a value of 1.26. M40-income students were more likely to excel with an odds ratio of 2.809. Students who excelled in SPM English and Mathematics had a better likelihood of succeeding in higher education.

This research was limited to pre-diploma students from UiTM Pahang Branch. For better generalizability of the results, future research should include pre-diploma students from other UiTM branches that offer this programme.

This study is expected to offer insights for policymakers, particularly, the Ministry of Higher Education, in developing a comprehensive policy to improve the tertiary education system by focusing on the fourth Sustainable Development Goal.

These pre-diploma students were found to originate mainly from low- or middle-income families; hence, the programme may help them acquire better jobs and improve their standard of living. Most students enrolling on the pre-diploma performed below excellent at the secondary school level and were therefore given the opportunity to continue studying at a higher level.

This predictive model contributes to guidelines on the minimum requirements for pre-diploma students to gain admission into higher education institutions by ensuring the efficient distribution of resources and equal access to higher education among all communities.

Mental health inequalities based on race and ethnicity in the USA and globally persist despite efforts to address them. The COVID-19 epidemic accentuated these inequalities and demonstrated the extent to which they are linked to social determinants. However, the organizations that are best placed to ameliorate mental health inequalities are often underfunded and under-resourced. Investment strategies that restrict funding for programmatic costs rather than general operating costs often disproportionately impact small organizations that serve communities of color. This study aims to argue that effectively addressing mental health inequalities requires investing in these organizations by applying the lessons learned from implementation science.

This study demonstrates how organizational factors such as leadership, supervision and organizational culture and climate are key to programmatic success and how implementation strategies can target these factors. As promoting health equity is increasingly recognized as a priority outcome for implementation science research, these organizational approaches can inform funders on how to support small organizations that serve marginalized communities, giving them the capacity and flexibility to address mental health inequalities.

This paper applies the findings from implementation science to consider how best to support mental health organizations, particularly those well suited to serving the mental health needs of diverse communities.

Brands are increasingly committing to improving diversity, equity and inclusion (DEI) within their marketing practices. One way that brands can show their commitment to DEI is by offering inclusive product lines. This paper aims to examine the strategic implications of offering inclusive product lines by investigating consumer perceptions of product lines with more (versus fewer) options as well as product lines that cater primarily to minority (versus majority) consumers.

This research uses three online experiments and one secondary data set to test the hypotheses across two consumption contexts (makeup and clothing).

Consumers perceive product lines with more options and a distribution of options that skews toward minority (versus majority) consumers to be more inclusive and moral, which leads to more favorable attitudes toward the brand. In addition, consumers perceive product lines with balanced options to be as inclusive and moral as those with minority-skewed options.

This research provides practitioners with valuable insights on how to increase favorable consumer perceptions of their brands’ DEI strategies.

This paper contributes to the emerging literature on brand inclusivity in the marketplace. Specifically, it sheds light on why brands have been criticized for launching product lines that, ostensibly, include many options but may not go far enough to address marketplace inequalities that disadvantage underrepresented consumers.

This paper aims to examine the role of bullying victimization in predicting psychopathology, encompassing post-traumatic stress disorder (PTSD), risk of developing prodromal psychosis and emotional and behavioural problems, among in-school Nigerian adolescents.

A total of 351 junior secondary students (n = 173 males, 178 females; age range: 9–17 years) were recruited from five randomly selected public secondary schools in Nigeria. Students completed a variety of self-report measures, including a socio-demographic questionnaire, the prodromal questionnaire – brief version, the strengths and difficulties questionnaire (SDQ) and the multidimensional peer victimization scale. They were also interviewed using the PTSD module of the Mini International Neuropsychiatric Interview-Kid Version.

Although bullying victimization was not found to predict the presence of PTSD, it predicted the risk of developing prodromal psychosis. All SDQ subscales also held significant positive associations with bullying victimization. This indicates that higher levels of victimization are associated with increased behavioural and emotional difficulties among adolescents.

The study findings add support to whole system approaches involving relevant stakeholders in health, education, social and criminal justice sectors via protective policies to address the problems of bullying in schools.

The study contributes to evidence demonstrating a need for improved understanding regarding the role of exposure to bullying victimization in predicting various forms of psychopathology. Furthermore, there is specifically a need for research with this focus in developing countries in sub-Saharan Africa and the Nigerian education system.

The purpose of this paper is to argue the relationship between chief sustainability officer, sustainability performance and corporate governance. Specifically, this paper aims to empirically examine the mediation role of corporate governance on the relationship between chief sustainability officer and sustainability performance.

The study sample includes 484 European companies that were listed on STOXX Europe 600 index between 2010 and 2022. There are 15 supersectors and 17 nations.

Results of this study show that the profile of chief sustainability officer has a positive impact on sustainability performance. In addition, the corporate governance mediates the relationship between chief sustainability officer and sustainability performance.

The findings may be of interest to the academic researchers, investors and regulators. For academic researchers, the results would be interesting in discovering the dynamic relation between chief sustainability officer, sustainability performance and corporate governance. For investors, these show that the existence of chief sustainability officer provides sustainability performance from good corporate governance mechanisms. For regulators, these advise the worldwide policy maker to give the importance to chief sustainability officer roles to improve the engagement of firms in sustainability performance reporting.

This paper extends the existing literature by examining the mediation impact of corporate governance on the relationship between chief sustainability officer and sustainability performance in the European context.

Businesses are increasingly vulnerable and exposed to physical climate change risks, which can cascade through local, national and international supply chains. Currently, few methodologies can capture how physical risks impact businesses via the supply chains, yet outside the business literature, methodologies such as sustainability assessments can assess cascading impacts.

Adopting a scoping review framework by Arksey and O'Malley (2005) and the PRISMA extension for scoping reviews (PRISMA-ScR), this paper reviews 27 articles that assess climate risk in supply chains.

The literature on supply chain risks of climate change using quantitative techniques is limited. Our review confirms that no research adopts sustainability assessment methods to assess climate risk at a business-level.

Alongside the need to quantify physical risks to businesses is the growing awareness that climate change impacts traverse global supply chains. We review the state of the literature on methodological approaches and identify the opportunities for researchers to use sustainability assessment methods to assess climate risk in the supply chains of an individual business.