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This study develops a comprehensive taxonomy of the business analytics (BA) discipline, uncovering its intellectual core and revealing its evolution over the past 12 years.

Using stakeholder-driven identity formation theory, this study explores how organizational identity emerges through stakeholder negotiations. It investigates how top scholarly journals shape the BA discipline’s image and influence perceptions. High-quality articles from top journals listed by the Australian Business Deans Council are analyzed using latent Dirichlet allocation (LDA), a natural language processing and topic modeling method.

The study outlines key research areas identified as analytics methods, marketing, finance, operations and decision support analytics, along with 12 subareas. An analysis of the top 100 topics reveals prevalent research themes, showcasing the breadth of BA. A 12-year time-series review shows initial growth followed by maturation across most areas, except for decision support analytics, which maintained steady growth. These findings provide empirical evidence of BA’s development as a distinct discipline, highlighting its interdisciplinary nature and evolving research focus.

This study presents the first comprehensive, data-driven taxonomy of BA research, distilling the intellectual core into five key areas and 12 subareas, while identifying 100 supporting themes. It extends the stakeholders’ approach to identity development theory in the context of BA, providing empirical support for discussions on the field’s identity and diversity. The findings offer valuable insights for scholars, industries, managers and professionals, guiding curriculum development, research directions and practical applications of BA.

This study aims to examine the role of big data analytics (BDA) powered by artificial intelligence (AI) in improving sustainable performance (SP) through green supply chain collaboration (GSCC), sustainable manufacturing (SM) and environmental process integration (EPI).

Data was collected from 249 supply chain professionals working at various manufacturing firms, and hypotheses were tested through a quantitative method using PLS-SEM with the help of SmartPLS version 4 to validate the measurement model.

This study identified that BDA-AI significantly and positively affects GSCC, SM and EPI. Similarly, the results showed that GSCC significantly and positively affects SP. At the same time, SM and EPI have an insignificant effect on SP. The GSCC found a significant relationship between BDA-AI and SP for mediation. However, SM and environmental performance integration did not mediate the relationship between BDA and AI and SP.

This research evaluated a second-order model and tested SP in conjunction with the dynamic capability theory in the manufacturing industry of Pakistan. Therefore, this research could be beneficial for researchers, manufacturers and policymakers to attain sustainable goals by implementing the BDA-AI in the supply chain.

It is important to understand professors’ beliefs to promote better teacher preparation and professional development, as well as to understand the potential discrepancy between stated versus observed beliefs. The purpose of this study was to describe the faculty members' beliefs about the teaching-learning process.

A qualitative method was used to study the professors’ beliefs by selecting the faculty participants via a purposeful sampling strategy. The study was conducted at one of the biggest universities in Iran. In total, 20 professors were interviewed.

Analysis of the interviews indicates that professors’ beliefs about teaching and learning activities fall under four main themes (beliefs about teaching methods, beliefs about curriculum design, beliefs about students and beliefs about evaluation) and nine sub-themes.

Our findings reveal that professors have a deductive approach to teaching and learning, and due to the centralized educational system, they do not play a significant role in effectively presenting the curriculum. It seems necessary to direct professional development programs in rebuilding the professors' professional beliefs and identity.

This study aims to understand the experiences of Brazilian nurse auditors in the practice of their profession, exploring the importance, challenges, rewards and strategies related to the occupation.

This is a qualitative descriptive study conducted with 44 nurse auditors. An online, open-ended questionnaire was used. Thematic content analysis was performed.

Five themes were identified: (1) functions of a nurse auditor; (2) skills required for a nurse auditor; (3) learning to be a nurse auditor; (4) advantages of being a nurse auditor and (5) challenges faced by a nurse auditor. Also, a total of 16 subthemes were presented.

The study critically examined essential aspects of auditing through the lens of nurse auditors, addressing a relevant topic. However, limitations must be acknowledged, including the use of self-report questionnaires, regional representation disparities, the scarcity of international articles on the topic and potential researcher bias.

The study underscores the importance of increasingly integrating nurse auditors into the workforce while emphasizing the need to enhance the capacitation of these professionals through theoretical and practical education. It highlights the significance of educating other multidisciplinary team members about the nurse auditor’s crucial role in fostering teamwork and ensuring the quality of healthcare services.

To the best of the author’s knowledge, this is the first study conducted with Brazilian nurse auditors, exploring crucial aspects of auditing from the perspective of these professionals. Understanding the critical role of nurse auditors in maintaining and improving healthcare quality can enhance public trust in healthcare systems.

This study examines the relationship between board gender diversity (BGD) and financial performance (FP) in the Malaysian emerging market, focusing on the mediating role of Environmental, Social and Governance (ESG) performance.

Using a dataset of 976 observations from Malaysian publicly listed companies from 2016 to 2023, this study explores BGD as the independent variable with FP measured through both accounting and market metrics. ESG performance serves as a mediating variable. The analysis employs Structural Equation Modelling (SEM) to examine direct and mediating effects, supplemented by the Baron and Kenny approach and Two-Stage Least Squares (2SLS) regression for robustness.

The findings indicate that higher BGD positively and significantly impacts all three performance measures: Tobin's Q (TQ), Return on Assets (ROA) and Return on Equity (ROE). ESG performance positively influences these measures. The SEM analysis reveals a significant positive impact of BGD on ESG performance, which fully mediates the relationship between BGD and TQ/ROA and partially mediates the relationship between BGD and ROE.

The results have significant implications for policymakers, board members, scholars and investors, stressing the importance of gender diversity and ESG performance in improving FP. The findings suggest that enhancing board effectiveness through BGD can promote sustainable practices and align corporate strategies with broader sustainability goals, which eventually helps to improve companies’ FP.

This research contributes to the literature by highlighting the mediating role of ESG performance in the relationship between BGD and FP and emphasizing the importance of gender diversity in corporate sustainability. It addresses this gap by providing insights into how ESG performance enhances the impact of BGD on FP.

This article aims to tackle the organization's problems with a new paradigm of organizational consciousness by developing a framework.

The Phenomenological and Framework Synthesis approach is used to develop the conceptual framework for organizational consciousness.

The research article highlights organizational consciousness's implications for long-term sustainable success. It emphasizes the positive impact of conscious organizations on stakeholder well-being and the resolution of environmental and social problems.

The organizational consciousness framework encompasses the collective awareness, values, and purpose that guide an organization's actions and decisions. The framework emphasizes aligning organizational values, needs, and goals with all stakeholders' social, environmental, and well-being. It highlights the interconnectedness of stakeholders and encourages a system-thinking perspective. Furthermore, it acknowledges the role of individual and group consciousness in driving organizational transformation. It discusses the pathway to organizational success through conscious practices, emphasizing value creation beyond monetary gain. It explores the role of conscious leadership, innovative and continuous learning, and adaptation in fostering conscious organizations.

The aim of this research is to gain insight into the emotional impact and cognitive evaluations that these applications have on users from their own perspective.

Sentiment analysis methodology is used to analyze users’ comments and ratings, assess perceived benefits and determine the emotional impact these applications have on them.

The results suggest a benefit for happiness scholars, professionals, users and organizations focused on employee well-being and provide valuable insights into the evolving landscape of happiness applications. While the study relies on publicly available user data, it complements, but does not replace, market research or product evaluation conducted by app developers and companies.

Among the myriad channels disseminating the assumption that the good life is attainable through personal means and psychological know-how, smartphone applications have emerged as accessible, cost-effective and attractive tools to help users become happier and alleviate feelings of distress and discomfort.

With the evolving landscape of technology and innovations, metaverse has revealed a huge potential for changing the world. Gradually, it has expanded its wings to different sectors, including higher education. The key purpose of this research work is to synthesize the existing literature on metaverse in higher education and develop future research directions for researchers.

The present study uses the “Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)” technique to recognize relevant articles from the database, i.e. SCOPUS. Furthermore, it conducts a “bibliometric analysis and systematic literature review” to explore the research area of metaverse in higher education.

The findings reveal that the synthesis and analysis of existing literature led to the identification of an intellectual structure, which resulted in the formation of four clusters. These clusters are defined as attributes related to metaverse applications in higher education, sustainable management of complex learning practices, customization of the teaching–learning process through the metaverse and model development. The theoretical structure informs the co-word analysis and thematic map, identifying four themes: the basic theme, motor theme, niche theme and decline theme. Finally, the social structure is assessed in terms of the author’s network and collaboration across countries.

The study investigated the conceptual structure by developing a thematic map and social structure by measuring the relationship between country–author collaboration through bibliographic coupling (BC). The study also identified future research avenues based on the “TCCM (theory, context, characteristics, and methodology)” framework for future researchers and practitioners.

The research study thrives on enlarging the review scope to measure the metaverse’s role in higher education. Though bibliometric studies have been developed in the metaverse, no study has attempted to measure the relationship between metaverse in higher education using bibliometric and TCCM framework. Thus, developing a synthesized work provides a comprehensive picture of the research domain.

The purpose of this study is the same as those of the preceding 16 studies on happiness, health and religion, and they are as follows: to estimate the mean scores and the sex-related differences in the study scales; to examine the associations between the study scales; to investigate the principal components; and to compare the present results with the previous findings.

A non-probability sample of university students in the United Arab Emirates was selected by the “snowball” sample method. To overcome the issue of people refusing to participate in the study, this method was used in the selection process due to the challenge of sampling students in all the universities across the nation, which makes it difficult to choose a probability sample. The approval of the Ethics Committee was obtained from Ajman University to apply the study tools, and then the students were given the choice through open announcement to participate in the study and circulate it to other students at Ajman University.

Results showed that men had significantly higher mean ratings on mental health, physical health and happiness than did women. All the Pearson correlations between the scales were significant for men. Except for the correlations between religiosity and both happiness and mental health, all correlations between the scales for women were significant. A principal components analysis extracted one component for men which was labeled “Well-being and religiosity”, whereas two components were retained for the women which were labeled “Well-being” and “Religiosity and physical health”. Comparing the present sample’s mean happiness score to that of prior students from 16 other countries revealed that it was higher and consistent with other scores from rich Arab nations with a high GDP per capita (such as Qatar, Kuwait, Saudi Arabia and Oman). In conclusion, happiness was found to be associated with mental and physical health in both men and women, as well as religiosity in men.

Despite the strengths of the current investigation, i.e. the large sample size and the good to high reliability and validity properties of the scales, some limitations have to be acknowledged. First, the convenience and non-probability sample. Second, university students are a special segment of any country. Their age range is limited, and they probably have greater intelligence and more education compared to the general population. Therefore, a replication of the present study using a probability sample from the general population is needed.

SPSS (2009) was used for data analysis. Means, standard deviations, t-tests, d for effect size, Pearson product moment correlation coefficients and principal components analysis were used. For the principal components analysis, the Kaiser criterion (i.e. eigenvalue > 1.0) and the scree plot were used to define the number of components to be retained.

To the best of the authors’ knowledge, this is the first study about happiness in United Arab Emirates.