Research Paper Issues | NRJITIS - National Research Journal of Information Technology & Information Science

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

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

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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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.

Paper Title:: SCHOOL DIGITAL READINESS, TEACHER AI READINESS AND PEDAGOGICAL INTEGRATION IN GOVERNMENT SCHOOLS IN HIMACHAL PRADESH, INDIA
Author Name:: Nikhil Thakur & Ravinder Singh Madhan
Country:: India
DOI:: https://doi.org/10.5281/zenodo.22207294
Page No.:: 26-40

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Author: Nikhil Thakur & Ravinder Singh Madhan

ABSTRACT
Digital infrastructure can create the conditions for technology-supported teaching without ensuring that those conditions become regular or pedagogically purposeful classroom practice. The rapid diffusion of generative artificial intelligence (GenAI) adds a second distinction between exposure to emerging tools and professional readiness to evaluate and use them responsibly. This study examined how school digital-readiness conditions, teacher AI readiness and digital pedagogical practices were associated with classroom digital-resource utilization and teacher-perceived student learning and engagement. A quantitative cross-sectional dataset comprising 998 school-class records from 300 government high and senior secondary schools in four districts of Himachal Pradesh was linked to school-level administrative indicators through the 11-digit UDISE+ code. School context was represented by a 0-1 Digital Readiness Index (DRI) and an empirically derived four-category readiness typology; the typology was used in adjusted models to preserve distinct infrastructure configurations. Teacher AI Readiness Score (TAIRS) and Perceived Student Learning and Engagement Score (PSLES) were supported by one-factor solutions and strong McDonald’s omega coefficients. Although 98.4% of records reported access to at least one functional device and 75.8% reported functional internet during teaching, regular digital-screen use was reported in 52.5%. Previous GenAI use was reported in 82.8%, but only 10.0% reported formal AI-related training and 80.5% reported no or only slight confidence in evaluating AI-generated educational content. Inquiry-oriented digital practice had the largest adjusted association with regular utilization (28.5 percentage points per category, p < .001). More frequent classroom utilization, inquiry-oriented practice and TAIRS were positively associated with PSLES, while Crisis Zone records remained 11.9 percentage points below Elite records after adjustment. The findings indicate that structural readiness establishes opportunity, whereas pedagogical practice and evaluative capability shape how that opportunity is translated into classroom integration.

Keywords: digital readiness; teacher AI readiness; generative artificial intelligence; digital pedagogy; classroom integration; government schools; India

Paper Title:: THE ALGORITHMIC ARCHIVE: DATA SCIENCE AND BIG DATA ANALYTICS AS TRANSFORMATIVE FORCES IN HUMANITIES RESEARCH
Author Name:: Arin Jain , Jitendra Vinayak Sandu
Country:: India
DOI:: https://doi.org/10.5281/zenodo.22276168
Page No.:: 41-54

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Paper Title:: ADAPTIVE MOBILE COMPUTING IN THE DEVICE–EDGE–CLOUD CONTINUUM: A REVIEW AND RESEARCH FRAMEWORK FOR 5G-ADVANCED AND 6G
Author Name:: Sandeep Kaur Gill
Country:: India
DOI:: https://doi.org/10.5281/zenodo.22297230
Page No.:: 55-64

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Author: Sandeep Kaur Gill

Mobile computing has evolved from portable access to information into an intelligent distributed-computing paradigm spanning mobile devices, heterogeneous wireless networks, edge infrastructure, and centralized cloud platforms. The growth of smartphones, Internet of Things (IoT) devices, connected vehicles, immersive applications, and artificial intelligence (AI) has created demanding requirements for low latency, energy efficiency, reliability, privacy, and service continuity. This paper presents a comprehensive review of mobile computing with emphasis on mobile cloud computing, mobile edge computing (MEC), multi-access edge computing, computation offloading, mobility management, edge intelligence, security, privacy, and sustainable resource management. Based on the literature, a conceptual Adaptive Mobile Computing Orchestration (AMCO) framework is proposed to select execution locations across device, edge, and cloud environments using a multi-objective utility model. The framework incorporates latency, energy, reliability, privacy, resource availability, and workload characteristics. A research methodology is defined for experimental validation using heterogeneous devices, multiple edge nodes, variable network conditions, realistic mobility traces, and representative workloads. The paper identifies major research gaps in cross-layer orchestration, trust-aware placement, mobility-aware service continuity, privacy-preserving AI, and reproducible experimentation. Finally, it discusses the implications of 5G-Advanced and 6G/IMT-2030, including AI and communication, integrated sensing and communication, ubiquitous connectivity, sustainability, and resilience. The study concludes that future mobile computing should be designed as an adaptive, secure, intelligent, and sustainable computing continuum rather than as a wireless-access technology alone.

Keywords: Mobile computing; mobile edge computing; mobile cloud computing; computation offloading; device-edge-cloud continuum; 5G; 6G; edge intelligence; IoT; mobility management; privacy; energy efficiency

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