De-Dollarization: An Overview on the Impact on the Indian Economy
Authors-Medhaansh Singh, Manyata Chaturvedi
| DOI: 10.61463/ijrtssh.vo2.issue3.111 |
Importance of Spirituality for Religion and Religious Experience Students: A General Perspective
Authors- Leopoldo H. Lareza Jr.
| DOI: 10.61463/ijrtssh.vo2.issue3.112 |
Catalysts of Cashless convenience: Exploring UPI Adoption Patterns and Perceptions
Authors- Sarthak Hirekhan
| DOI: 10.61463/ijrtssh.vo2.issue3.113 |
Economic Corruption and Its Disproportionate Impact on Women’s Leadership: the Case Study of Liberia
Authors- Akiah. P. Glay-Dormoh
| DOI: 10.61463/ijrtssh.vo2.issue3.114 |
Exploring the Relationship between the U.S. Government Expenditure and Deficits, 1960 – 2023
Authors- Berhanu Arega Shiferaw
| DOI: 10.61463/ijrtssh.vo2.issue3.115 |
The Role of Higher Education Leaders in Building Human Capital in Cambodia
Authors-Dr. Prak Polla, Dr. Paradise ROS, Dr. Reth Chanthoun, IN Channdy
| DOI: 10.61463/ijrtssh.vo2.issue3.116 |
Socioeconomic Gaps between Tribal and Urban Populations in India: A Comparative Study
Authors-Associate Professor Dr.Mirza Mohd Abu Tayyab
| DOI: 10.61463/ijrtssh.vo2.issue3.117 |
The Impact Of Artificial Intelligence On Digital Libraries
Authors: Dr. Vinod Kumar
Abstract: This paper examines the transformative impact of Artificial Intelligence (AI) on the core functions of digital libraries. It argues that AI is fundamentally reshaping these institutions by introducing unprecedented efficiency and user-centric services. The analysis focuses on two primary areas: the automation of traditional, labor-intensive tasks such as intelligent cataloging, metadata generation, and advanced digitization using machine learningand the enablement of sophisticated personalization through AI-powered recommender systems, intelligent semantic search, and conversational chatbots. Moving beyond these applications, the paper also explores emerging frontiers, including the use of AI for predictive analytics in collection development and as a tool for accelerating academic research. However, this technological shift is not without significant challenges. The study provides a critical analysis of pressing ethical concerns, such as the risks of algorithmic bias perpetuating inequality, threats to patron data privacy, and the potential for AI to widen the digital divide. The paper concludes that while AI offers remarkable opportunities for enhancing efficiency, accessibility, and user engagement, a strong, principled ethical framework and a committed human-centred approach to ensure the creation of equitable, trustworthy, and sustainable digital knowledge environments must guide its successful integration into digital libraries for all.
Leadership Style, Employee Motivation And Productivity: Examining The Transformational Leadership Perspective In Pune’s Manufacturing Industry
Authors: Gohit Arun Pedhekar
Abstract: Leadership has become an increasingly important organisational factor in manufacturing because productivity depends not only on technology, machinery and production systems but also on employee motivation, commitment and behaviour. Transformational leadership is particularly relevant because it emphasises vision, inspiration, intellectual stimulation and individual consideration. This study examines the relationship between transformational leadership, employee motivation and workforce productivity in manufacturing organisations in Pune, Maharashtra. The study adopted a quantitative, cross-sectional research design and considered 300 employees working in manufacturing organisations in the Pune region. Primary data were collected through a structured questionnaire using a five-point Likert scale. Transformational leadership was assessed through idealised influence, inspirational motivation, intellectual stimulation and individualised consideration, while employee motivation and workforce productivity were measured through multiple statements relating to workplace motivation, effort, target achievement, work efficiency and contribution to organisational performance. Descriptive statistics, Cronbach's alpha, Pearson correlation and multiple regression were used for data analysis. The results indicate that transformational leadership has a significant positive relationship with employee motivation and workforce productivity. Employee motivation was also positively associated with productivity. The findings suggest that transformational leadership can create a supportive work environment in which employees demonstrate greater motivation and contribute more effectively to organisational objectives. The study provides India-specific evidence from Pune's manufacturing sector and offers practical implications for managers seeking to improve productivity through leadership and employee motivation.