Rakshitha M M

https://doi.org/10.64823/ijcaf.2601001

The rapid rise of remote work has changed traditional workplace structures, especially for Generation Z employees. This study examines how remote work culture blurs the boundaries between personal and professional life and its impact on work-life balance, productivity, mental well-being, and job satisfaction among Gen Z employees. The study is based on secondary data collected from peer-reviewed journals, academic books, industry reports, and credible organizational publications. A thematic and comparative analysis of existing literature was conducted to understand the influence of digital connectivity, flexible work arrangements, and organizational practices on work-life boundary management. The study finds that while remote work provides flexibility, autonomy, and convenience, it also increases digital fatigue, work-life conflict, emotional exhaustion, and difficulty disconnecting from work. The findings further emphasize the importance of organizational support, healthy work boundary practices, digital well-being initiatives, and effective HR policies in promoting employee well-being and productivity. The study concludes that maintaining clear boundaries between personal and professional responsibilities is essential for achieving sustainable work-life balance, improving job satisfaction, and enhancing long-term productivity among Generation Z employees in remote work environments.

https://doi.org/10.64823/ijebm.2601009

Gender diversity and inclusion have become strategic priorities for organizations seeking to enhance innovation, organizational performance, and long-term sustainability. Although women constitute a significant proportion of India's educated workforce, their participation and representation in leadership positions remain disproportionately low due to persistent socio-cultural, organizational, and structural barriers. This study presents a systematic conceptual review of contemporary literature published between 2020 and 2026 to examine the strategic importance of women in Indian organizations and the need for greater gender diversity and inclusion. Drawing upon peer-reviewed journal articles, government publications, industry reports, and policy documents, the review synthesizes evidence on women's workforce participation, leadership representation, workplace inclusion, organizational culture, and diversity management practices within the Indian context, while incorporating relevant global perspectives. The findings reveal that gender-diverse organizations consistently demonstrate improved decision-making, innovation, employee engagement, governance, and financial performance; however, challenges such as unconscious bias, the glass ceiling, unequal career advancement opportunities, pay disparities, and work-life integration continue to impede women's professional growth. The review further highlights the critical role of inclusive leadership, equitable human resource policies, organizational commitment, and supportive public policies in fostering inclusive workplaces. By integrating multidisciplinary perspectives and identifying key research gaps, this study proposes a comprehensive conceptual framework and practical recommendations to assist organizations, HR professionals, and policymakers in advancing gender diversity, strengthening workplace inclusion, and promoting sustainable organizational success in India.

https://doi.org/10.64823/ijebm.2601008

Artificial Intelligence (AI) has become an integral component of modern recruitment by enabling organizations to automate candidate sourcing, resume screening, and selection processes. While AI-driven recruitment systems improve efficiency and decision-making, they also introduce significant concerns regarding algorithmic bias, fairness, transparency, and accountability. This study presents a conceptual and systematic review of contemporary literature published between 2020 and 2026 to examine the nature, sources, and implications of algorithmic bias in AI-based recruitment systems. The review synthesizes multidisciplinary evidence from Human Resource Management, Artificial Intelligence, Business Analytics, Organizational Behaviour, and AI Ethics to identify key factors influencing fair hiring practices. The findings indicate that algorithmic bias primarily arises from biased training data, model design, proxy variables, and organizational implementation practices, potentially leading to discriminatory recruitment outcomes and reduced workforce diversity. The study further highlights the importance of explainable AI, ethical governance, human oversight, and continuous bias monitoring in promoting transparent and accountable recruitment systems. Particular attention is given to the emerging Indian context alongside global developments in AI governance. The study proposes a conceptual framework linking algorithmic bias, transparency, organizational trust, and recruitment outcomes while providing practical recommendations for HR professionals and organizations seeking to implement responsible AI-driven recruitment and support equitable hiring practices.

As artificial intelligence (AI) reshapes modern workplaces, organizations face increasing challenges in preparing employees with the competencies required to work effectively alongside AI systems. Existing research on AI literacy, workforce development, reskilling, and AI ethics remains fragmented, providing limited guidance for organizations seeking a comprehensive competency framework. This conceptual paper develops the AI-Ready Workforce Competency Framework (AIR-WCF) by synthesizing peer-reviewed literature published between 2020 and 2026. The proposed framework identifies four core competency domains—technical-operational, cognitive-analytical, ethical-critical, and adaptive-relational—that collectively support AI readiness at the individual, team, and organizational levels. Grounded in Human Capital Theory and Dynamic Capabilities Theory, the framework positions AI readiness as a strategic organizational capability rather than merely a technical skill. The paper highlights the role of structured reskilling, competency assessment, ethical AI practices, and continuous learning in building future-ready workforces. It concludes by discussing managerial implications, acknowledging the limitations of a conceptual framework, and recommending future empirical research to validate the proposed model across diverse industries and organizational contexts.