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The study aims to investigate the integration of human and machine intelligence in Industry 4.0 (I4.0), particularly in the convergence of industrial revolutions 4.0 (IR4.0) and 5.0. It seeks to identify employee competencies aligned with industry 5.0 (I5.0) and propose a framework for deep multi-level cooperation to improve human integration within the intelligence system.

This study uses bibliometric analysis to review 296 research papers retrieved from the Scopus database between 2002 and 2022. The prominence of the research is evaluated by analyzing the publication trend, sample statistics, theoretical foundation, commonly used keywords, thematic evolution, country-based contributions and top-cited documents.

The study observed that research in I5.0 has been limited in the past but has gained momentum since 2015. An analysis of research papers from 2002 to 2022 reveals a gradual shift toward human-centric practices. The literature on I4.0, the internet of things (IoT), artificial intelligence (AI), cloud manufacturing, blockchain and big data analysis has been increasingly highlighting the growing importance of digitalization in the future. An increase in the number of countries contributing to the field of study has also been observed.

This analysis offers valuable insights for managers, policymakers, information technology (IT) developers and stakeholders in understanding and implementing human-centric practices in I5.0. It emphasizes staying current with trends, embracing workforce empowerment through reskilling and upskilling, and prioritizing data privacy and security in adaptable systems. These strategies contribute to developing effective, inclusive and ethically sound approaches aligned with the principles of I5.0.

The purpose of this study is to explore the relationship between career competencies and leadership aspiration among women IT/ITeS professionals in South India, examining the mediating effects of work role salience and occupational self-efficacy, along with the moderating effect of achievement aspiration.

The sample consists of 348 women professionals working in the IT/ITeS industry in South India. The study adopts a descriptive methodology and employs a cross-sectional research design.

The result shows that work role salience mediates the relationship between career competencies and leadership aspiration and that this mediation is moderated by achievement aspiration. Additionally, occupational self-efficacy is found to have a supplementary effect on leadership aspiration, further contributing to the model.

Despite the limitations of online data collection, the study showcases adaptability, providing valuable insights into women's career aspirations. It acknowledges opportunities for future research improvements, such as implementing longitudinal frameworks and incorporating a more diverse sample, to enhance the robustness and applicability of findings.

The study offers valuable insights for managers, researchers and academia, aiding in the identification of crucial competencies for women aspiring to leadership roles, and fostering the retention of top talent in a diverse and inclusive work environment. Individuals can leverage these insights for enhanced career development by recognizing and emphasizing strengths while addressing weaknesses through accurate self-assessments.

This study offers a novel perspective by identifying the essential competencies that are crucial for women to achieve leadership positions, thus making a valuable contribution to the existing literature in the field.