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This study aims to explore the constituents of artificial intelligence (AI)-augmented knowledge management (AIKM) capability and its impact on clinical performance (CP) in the health-care sector. It further examines the mediating role of absorptive capacity (Abs Cap) and discusses the implications of these findings for marketing strategies, highlighting how enhanced CP through AIKM can lead to more effective and patient-centered marketing approaches.

This research uses a mixed-method design. A qualitative study through semi-structured interviews was conducted to explore the facets of AIKM. The synthesis of qualitative findings infused with the relevant literature to develop a hypothesized model of AKM, Abs cap and CP metrics (e.g. diagnostic accuracy, patient satisfaction and treatment effectiveness). A survey of health-care professional in India was conducted to assess the proposed model by using structural equation modeling (PLS-SEM).

The results demonstrate a significant positive relationship between AIKM and CP. Moreover, Abs Cap mediates this relationship partially, highlighting its crucial role in translating improved knowledge access and analysis enabled by AI into enhanced clinical outcomes.

The findings suggest that health-care organizations should invest in developing AIKM alongside strengthening Abs cap to maximize the positive impact of AI on CP and ultimately improve patient care. Future research can explore specific AIKM components and Abs cap facets influencing different aspects of CP.

This study represents a pioneering effort to conceptualize AIKM within the health-care context and empirically establish it as a higher-order factor. The inclusion of marketing strategies underscores the potential of AIKM not only in improving clinical outcomes but also in transforming health-care marketing. The mediating role of Abs Cap emphasizes the importance of organizational structures and processes that facilitate the absorption and utilization of knowledge, thereby contributing to both clinical and marketing excellence.

This study aims to explore the relationship between global unity and cultural diversity in an interconnected world, examining how globalization influences cultural exchange while preserving identities. Using hybrid thematic content analysis (HTCA), it reveals how cross-cultural collaboration can be fostered amid global challenges like climate change, health crises and technology. The research offers insights into integrating global efforts with local cultural nuances to create sustainable solutions. By bridging qualitative and quantitative approaches, it provides new perspectives on harmonizing global interconnectedness with cultural preservation in governance, technological innovation, diplomacy and education.

This research applied content analysis, thematic analysis and HTCA to examine global unity and cultural diversity. Content analysis highlighted key themes in international frameworks, whereas thematic analysis delved into elements promoting cultural preservation and adaptation. HTCA synthesized these insights, combining content-focused themes with broader cultural, economic and policy perspectives. Data sources included academic literature, international policy documents and case studies from UNESCO and regional cultural policies.

The findings reveal that while globalization drives global unity, cultural diversity remains crucial for preserving individual identities. Key themes include multiculturalism, cultural exchange, hybridization and resistance to homogenization. While globalization can erode local traditions, it also fosters cultural enrichment, seen in fusion cuisine, multilingualism and ethical fashion. The research identifies strategies for balancing global unity and cultural diversity, such as hybrid approaches to environmental sustainability, integrating cultural insights into global health and inclusive technological innovations like AI and virtual reality. It also highlights the role of institutions like UNESCO in promoting cultural diplomacy and the challenges in balancing global governance with cultural diversity.

This research is limited by its reliance on secondary data from policy documents and literature, without primary data from affected communities or policymakers. Future studies could incorporate interviews and surveys to gain first-hand perspectives. In addition, the geographic focus on documented globalization effects limits broader applicability; more inclusive case studies across diverse cultural contexts are recommended.

The study offers actionable insights for policymakers, educators and cultural leaders to promote inclusive cultural exchange and hybridization strategies. It emphasizes balancing globalization benefits with cultural heritage protection. Practical applications in education, health and technology should consider cultural differences for more inclusive and effective solutions, such as integrating global citizenship and cultural sensitivity in educational policies.

The study emphasizes how intercultural understanding and collaboration can enhance social cohesion in multicultural societies. It advocates for celebrating diversity, fostering cultural dialogue and promoting inclusive global policies to build peace and address global issues while maintaining diverse identities.

This study’s originality lies in its methodological triangulation, using HTCA as a novel approach to unify content and thematic insights. By integrating content analysis, thematic analysis and HTCA, this research offers a unique multidimensional analysis of global unity and cultural diversity, revealing how these aspects can coexist within globalization.

The motivation to choose an electric vehicle (EV) is guided by principles of personal values, perceived rewards and preferences. While the benefits of sustainable transportation are known, the acceptance of EVs and the motivation to purchase them is not satisfactory in India. An assessment of the motivation continuum, a range of intrinsic to extrinsic personal and societal drives that encourage specific choices, explains the lack of EV adoption in the country. This study aims to examine the effect of motivation types on EV adoption intentions and also explores the moderating role of gender in this context.

By incorporating constructs from the self-determination theory, the study expands on the technological acceptance model. It uses the structural equation modelling method to test the hypotheses and presents an analysis of responses from 351 participants.

The findings suggest that there are significant relationships between external, identified, integrated motivation and EV buying intentions. The influence of gender on EV adoption is also explored.

This study provides an in-depth analysis of varied motivational types on EV buying intentions and the moderating effects of gender on these relationships.

The purpose of this study was to examine the experiences of college-age mentors in a school-based mentoring (SBM) program with the aim of understanding mentor perceptions of “power.”

Seventeen mentors, comprising both undergraduate (9) and graduate (8) students, participated in this exploratory qualitative study. One-on-one semi-structured interviews and Focus Groups served as the primary methods of data collection. The modified Grounded Theory approach guided the data analysis process. Mentor narratives were scrutinized within the Indian context while also considering a global perspective.

Three major role execution styles emerged from examining mentor behavior: leadership, coaching and companionship. These charted the trajectory of equitability, revealing two major aspects of mentor perception: (1) within a tightly monitored and firmly structured program in a collectivist context, mentors believed they had the power to promote equitability in their dyads and (2) raising awareness about inequity is not sufficient to activate equitability, but additionally, an open mindset is essential for making conscious efforts to disrupt hierarchy.

The findings hold significant implications for higher education institutions and program creators in advocating school–college partnerships using SBM to promote equitable program structures and to develop a socially responsible next generation of leaders.

The study modestly fills critical gaps in the literature related to the understanding of power dynamics in mentoring relationships and understanding mentorship from mentors’ views. Future research could explore how college-age mentors perceive their own social capital.

The objective of this study is to examine how perceived augmentation of virtual makeup influences consumers’ perceived value (utilitarian and hedonic value).

This research conducts an empirical study, and investigates 474 respondents.

The results show that perceived augmentation positively influences utilitarian and hedonic value. The wow-effect mediates the impact of perceived augmentation on utilitarian value. Immersion mediates the impact of perceived augmentation on two types of perceived value. Perceived ease of use moderates the influence of perceived augmentation on utilitarian value. Recreational shopper does not moderate the effect of perceived augmentation on hedonic value.

The study provides practical implications for beauty e-retailers.

This study examines the effect of perceived augmentation, supplements the literature on virtual makeup and AR technology application and enriches the literature on consumer experience of using AR technology.

The construction industry faces public criticism for issues like wastefulness, inefficiency, slim profits, scheduling setbacks, budget overruns, quality concerns, trust deficits, transparency, coordination, communication and fraud. This paper aims to assess the nexus between barriers and drivers for adopting blockchain in construction and its impact on construction lifecycle.

A quantitative research approach was used to collect data using a well-structured questionnaire survey. The survey, which used snowball sampling, included 155 Nigerian construction experts that included architects, builders, quantity surveyors and engineers in the built environment. The data were analysed using partial least squares structural equation modelling (PLS-SEM), which allowed for a thorough evaluation of the proposed relationships as well as industry-specific insights.

The study's findings validate the conceptual framework established. The results indicate that implementing blockchain across all stages of construction projects has the potential to improve the construction process by 88.2% through its drivers. However, there were no significant relationships found between the barriers to adopting blockchain and the potential application areas in the construction lifecycle.

This research was carried out in the South-western which is one of the six geo-political zones/regions in Nigeria, using a cross-sectional survey method. The study did not investigate the interdependence of the identified categories of drivers and barriers, limiting a comprehensive understanding of the complex dynamics and interactions influencing blockchain adoption in construction. The study is expected to stimulate further exploration and generate new insights on how blockchain technology (BT) can influence various stages of the construction lifecycle.

The findings will be immensely beneficial to both professionals and practitioners in the Nigerian construction industry in learning about the potential of BT application in improving the construction lifecycle.

This paper developed and assessed a conceptual framework by investigating the interrelationships between the constructs. The findings have important implications for the construction industry, as they offer opportunities to improve the construction process and overall lifecycle. The findings are useful for researchers interested in the potential impact of BT on the construction lifecycle and its wider implications.

The primary purpose of this paper is to examine the role of perceived trust, information quality, positive word of mouth and societal norms toward real estate purchase intention. The study also examines how pro-environmental self-identity mediates the relationship between positive word of mouth and real estate purchase intent, as well as between societal norms and real estate purchase intention. This research aims to delve into these intricate dynamics through a multidimensional lens.

The research employs existing scholarly works and measurable variables evaluated through a five-point Likert scale, hypothesis testing and mediation analysis to examine the proposed framework. A structured survey comprising six sections was administered, yielding 385 valid responses. The data analysis process included the use of confirmatory factor analysis and structural equation modelling techniques.

The analysis indicates that pro-environmental self-identity has the most significant influence on real estate purchase intention, closely followed by positive word of mouth. Incorporating eco-friendly themes in marketing campaigns significantly boosts purchase intentions. However, perceived trust does not significantly impact purchase intentions. Other factors, such as information quality and societal norms, also play significant roles, underscoring the importance of understanding the complex dynamics shaping consumer decisions in the real estate market.

This research exclusively targets responses from young consumers in specific regions of India. Future studies should aim for a more extensive geographic scope, encompassing a diverse global population for a broader understanding of the subject.

Based on previous literature, this study is the first to identify the elements influencing the inclination to buy environmentally friendly real estate through social commerce.

The purpose of the study is to examine the factors that influence people's intention to adopt electric vehicles (EVs). The study used an expanded theory of planned behaviour (TPB) along with the addition of perceived trust and consideration of future consequences (CFC).

The study is based on primary data collected from 282 respondents in Punjab through a questionnaire. The collected data were analysed using SPSS 26 and AMOS 24 to perform confirmatory factor analysis and structural equation modelling.

The empirical analysis indicates that attitude, subjective norms and perceived trust have a significant influence on the adoption intention (AI) of EVs.

The implications provide policymakers and marketers with better insights into marketing EVs in the trajectory of sustainable mobility. Marketers should create focussed marketing materials that highlight the environmental ease of use, lower running costs and sophisticated technology of electric automobiles. The limitations of the study provide valuable insights for future researchers.

This is the first study that uses CFC with the TPB model in the context of AI of EVs specifically for the Punjab region.

This study aims to unveil the realities of Madhubani painting women artisans in the Mithila region of Bihar. It delves into the theory of capitalism concerning women artisans and their challenges and explores potential avenues for empowerment.

Utilizing an interpretative qualitative technique, the research focused on Madhubani Painting Women Artisans of Bihar. Semi-structured face-to-face interviews were conducted, and the resulting data were analysed using thematic analysis.

The findings revealed 22 sub-themes grouped into five themes. The first three themes are based on the theory of capitalism, including human, social and economic capital related to Madhubani painting women artisans. The following two themes included challenges faced by women artisans and notable opportunities within an emerging market.

The geographical focus, reliance on qualitative data, limited stakeholder perspectives and short timeframe may restrict the generalizability, breadth of insights and long-term impact assessment, highlighting the need for broader future research.

This research implies that there is a need to enhance digital skills, boost IT infrastructure and continuous support from the government to empower rural women artisans, fostering economic growth, entrepreneurship and cultural preservation in the handicraft sector.

This research contributes to the limited body of knowledge regarding the experiences of women artisans, shedding light on the unique themes and subthemes. The study underscores the significance of preserving traditional art forms and cultural heritage while striving for improved economic empowerment and social inclusion.

This study explores the pivotal role of artificial intelligence (AI) in revolutionizing knowledge organization within Nigerian libraries. The purpose of this study is to assess the challenges faced by these libraries, propose strategic approaches for successful AI integration and highlight the potential benefits and future directions of this transformative journey.

This study uses a comprehensive review of existing literature, case studies and a qualitative analysis of challenges faced by Nigerian libraries. Strategies for AI integration are proposed based on targeted capacity building, collaborative partnerships and phased implementation approaches. The methodology also involves assessing the current landscape of AI in Nigerian academic libraries, examining applications and exploring the perceived impacts of AI on library services.

Nigerian libraries face challenges such as limited resources, outdated systems and diverse information that hinder traditional knowledge organization methods. The integration of AI offers dynamic solutions, streamlining administrative tasks, optimizing search algorithms and enhancing user engagement. The findings of this study emphasize the potential benefits of AI, including improved accessibility, searchability and long-term efficiency gains in library collections.

This research contributes to the existing literature by providing insights into the specific challenges faced by Nigerian libraries and proposing practical strategies for AI integration. This study emphasizes the transformative potential of AI in addressing immediate challenges and unlocking enduring benefits. The originality lies in the context-specific exploration of AI in Nigerian libraries, offering a roadmap for stakeholders to embrace technological advancements and position libraries as leaders in providing innovative knowledge services.