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Archives Volume-13, Issue-2, Year-2026 (July-December)

TABLE OF CONTENTS

Paper Title:
AN ANALYSIS OF THE KEY FACTORS INFLUENCING THE IMPLEMENTATION OF HUMAN RESOURCE MANAGEMENT PRACTICES IN ORGANIZATIONS
Author Name:
Janani E , K Rajendran
Country:
India
DOI:
https://doi.org/10.5281/zenodo.21552228
Page No.:
1-7
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AN ANALYSIS OF THE KEY FACTORS INFLUENCING THE IMPLEMENTATION OF HUMAN RESOURCE MANAGEMENT PRACTICES IN ORGANIZATIONS
Author: Janani E , K Rajendran

ABSTRACT
The study examined the challenges in Human Resource Management (HRM) implementation among organizations using a quantitative research approach. The primary objective was to identify and rank the major challenges affecting the effective implementation of HRM practices. Data were collected from 100 respondents selected through the convenience sampling technique using a structured questionnaire. The collected data were analyzed using descriptive statistics, including mean, standard deviation, and mean rank, along with the Friedman test to determine significant differences in respondents' perceptions. The findings revealed that resistance to organizational change was the most significant challenge, followed by limited financial and human resources, rapid technological changes, inadequate leadership commitment, and compliance with changing labor laws and regulations. The Friedman test indicated a statistically significant difference in the ranking of these challenges (χ² = 19.989, p = 0.001), suggesting that respondents perceived certain challenges as more critical than others. The study concludes that organizations should prioritize change management initiatives, allocate adequate resources, strengthen leadership commitment, and continuously adapt to technological and regulatory changes to enhance the successful implementation of HRM practices.

Keywords: Organisational Strategy and Business Goals, Organisational Culture, Financial Resources and Legal and Regulatory Environment.

Paper Title:
ARTIFICIAL INTELLIGENCE, LARGE LANGUAGE MODELS, AND SEMANTIC WEB TECHNOLOGIES FOR NEXT-GENERATION DIGITAL LIBRARIES (A Hybrid Framework for Intelligent Knowledge Discovery)
Author Name:
Karunakar N. , Nagesh R.
Country:
India
DOI:
https://doi.org/10.5281/zenodo.21888883
Page No.:
6-16
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ARTIFICIAL INTELLIGENCE, LARGE LANGUAGE MODELS, AND SEMANTIC WEB TECHNOLOGIES FOR NEXT-GENERATION DIGITAL LIBRARIES (A Hybrid Framework for Intelligent Knowledge Discovery)
Author: Karunakar N. , Nagesh R.

ABSTRACT
Digital libraries are rapidly evolving from conventional repositories into intelligent knowledge environments capable of providing contextual, personalized, and semantically enriched information services. The integration of Artificial Intelligence (AI), Large Language Models (LLMs), Semantic Web technologies, and Knowledge Graphs offers significant opportunities to improve information retrieval and intelligent knowledge discovery. This study proposes a hybrid framework that integrates AI and LLM-based natural-language processing with semantic knowledge representation, ontologies, metadata, and Knowledge Graphs. The proposed framework combines conventional keyword retrieval, semantic search, and AI-based contextual processing to improve the accuracy and relevance of retrieved information. It further incorporates intelligent question answering, summarization, recommendation, and personalized user interaction. The methodology adopts a systematic and analytical research design using scholarly literature, digital library resources, metadata, and suitable datasets. The framework is evaluated using retrieval accuracy, relevance, usability, user satisfaction, and knowledge-discovery measures, including precision, recall, and F1-score. The study also addresses major challenges associated with AI-enabled digital libraries, including hallucination, reliability, algorithmic bias, privacy, data security, copyright, explainability, and human oversight. The proposed framework contributes to Library and Information Science by providing an integrated technological model for next-generation digital libraries. It demonstrates how the convergence of AI, LLMs, and Semantic Web technologies can support more intelligent, context-aware, personalized, and knowledge-oriented information discovery while emphasizing responsible and trustworthy AI adoption.

Keywords: Artificial Intelligence, Large Language Models, Digital Libraries, Semantic Web, Knowledge Graphs, Intelligent Information Retrieval, Knowledge Discovery, Generative AI

Paper Title:
CONSUMERS' PERCEPTION TOWARDS SUSTAINABLE GREEN MARKETING PRACTICES IN THE FAST-MOVING CONSUMER GOODS (FMCG) SECTOR
Author Name:
K. M. Sabitha
Country:
India
DOI:
https://doi.org/10.5281/zenodo.22092318
Page No.:
17-25
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CONSUMERS' PERCEPTION TOWARDS SUSTAINABLE GREEN MARKETING PRACTICES IN THE FAST-MOVING CONSUMER GOODS (FMCG) SECTOR
Author: K. M. Sabitha

ABSTRACT
Green marketing has become an essential business strategy in the Fast-Moving Consumer Goods (FMCG) sector as consumers increasingly prefer environmentally responsible products. Sustainable production, eco-friendly packaging, ethical sourcing, and reduced carbon emissions have become key factors influencing purchasing decisions. The study examines consumers' perceptions towards sustainable green marketing practices in the FMCG sector and evaluates how environmental awareness, product quality, pricing, brand image, and promotional strategies shape consumer attitudes and buying behaviour. The study aims to (1) examine consumers' perception towards sustainable green marketing practices in the FMCG sector, (2) identify the factors influencing consumers' purchase decisions for green FMCG products, (3) analyse the relationship between environmental awareness and green purchasing behaviour, and (4) provide recommendations for enhancing green marketing strategies among FMCG companies. The findings are expected to demonstrate that consumers generally hold favourable perceptions of sustainable marketing practices, although concerns regarding product price, authenticity of environmental claims, and product availability continue to influence purchase decisions. The study highlights the importance of transparent communication, credible eco-labels, sustainable packaging, and continuous consumer education in strengthening trust and promoting sustainable consumption. The outcomes provide valuable insights for marketers, policymakers, manufacturers, and researchers seeking to develop effective green marketing strategies that simultaneously enhance consumer satisfaction, environmental sustainability, and long-term business competitiveness.

Keywords: Green Marketing, Sustainable Marketing, Consumer Perception, FMCG Sector, Eco-friendly Products, Consumer Behaviour, Sustainable Consumption and Environmental Awareness.

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