http://localhost:8080/xmlui/handle/123456789/4213 2026-10-24T03:56:18Z http://localhost:8080/xmlui/handle/123456789/20769 A Study of emotional intelligence of employees how is to be impact on organizational productivity and efficiency Shinde-Raut, Mayuri 2025-10-01T00:00:00Z http://localhost:8080/xmlui/handle/123456789/20768 Implementation of effective training for education industry to get a result Shinde-Raut, Mayuri 2025-08-01T00:00:00Z http://localhost:8080/xmlui/handle/123456789/20763 Gender Representation, Workforce Motivation, and Governance Productivity: An Institutional Analysis of Academic Leadership Balance in Pune District Beharay, Ambar. V.; Joshi, Sneha. S. Gender diversity within higher education governance has expanded significantly across Indian academic institutions over the past two decades. Pune district—recognized as one of India’s foremost educational clusters, hosting state universities, deemed universities, private institutions, autonomous colleges, engineering institutes, management schools, health science colleges, and teacher education centers—reflects a visible rise in female participation across faculty ranks and academic management structures. Women now occupy roles as department heads, deans, principals, accreditation coordinators, and members of statutory bodies in increasing numbers. While this transition represents measurable social progress, institutional inclusion, and merit-based advancement, emerging discourse within academic ecosystems suggests that gender-skewed administrative configurations may influence workforce motivation, productivity orientation, and governance efficiency in complex ways. Representation expansion alone does not automatically translate into optimal institutional performance. Instead, the interaction between leadership composition, workload distribution, economic role commitments, and motivational climate plays a critical role in shaping academic output and governance stability. This study critically examines gender representation through productivity datasets, publication output models, mentorship allocation analysis, and motivational frameworks. Drawing upon interdisciplinary scholarship—including leadership diversity studies, organizational behavior theory, and institutional productivity models—along with contextual observations from Pune’s higher education landscape, the research evaluates how representation imbalances influence both positive and negative institutional outcomes. The findings indicate that governance productivity depends not merely on representation expansion but on participatory equilibrium, transparent workload structures, and equitable leadership pathways. Sustainable academic governance emerges not from numerical dominance but from structurally balanced participation that stabilizes motivation, research engagement, and institutional trust. 2026-03-01T00:00:00Z http://localhost:8080/xmlui/handle/123456789/20762 The Impact Of AI-Generated Content Advertising On Social Media On Customer Engagement And Brand Building Pawar, Priyanka; Tilak, Geetali; Shaikh, Altaf Abdullatif; Gatagat, Komal Mahavir; Saxena, Jaya; Beharay, Ambar. V.; Saboor, Farooqui Abdus Generative artificial intelligence (AI) technologies have rapidly evolved to create advertising content for social media platforms at a scale that was once impossible without human production in personalized, low-cost ways. This study provides a conceptual and literature-based analysis of the impact of artificial intelligence-generated content (AIGC) advertising on customer engagement and brand building on social platforms. Reviewing 20 peer-reviewed published papers from MDPI, Taylor & Francis, and Springer outlets, the review draws together evidence on the characteristics of AIGC advertisements, consumer response to AIGC advertisements, and downstream effects on brand trust, brand loyalty, and brand advocacy. Given the conditions where personalization is high and the source of AI-generated content is not salient, the analysis suggests that AI-generated ads can be as attention-grabbing and engaging as human-created content and potentially even more so. However, a disclosure of AI involvement can diminish consumer trust, empathy, and purchase intent, which is driven by the activation of persuasion knowledge and algorithm aversion. The proposed framework, comparative tables, and five conceptual diagrams presented below illustrate the importance of disclosure transparency and personalization in increasing or decreasing the value of AIGC advertising as a mechanism to create lasting brand equity or just passing moments of engagement. The paper ends with a research agenda for researchers and practitioners working in this rapidly changing field, as well as limitations of the current evidence base. 2026-06-01T00:00:00Z