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Teaching as a political act: The role of critical pedagogical practices and curriculum /
Human Affairs, Vol.26, ISSN: 1337-401X. -
Rethinking interdisciplinarity in social sciences: Is it a new revolution or paradox? /
Journal Of Interdisciplinary Studies In Eductaion, Vol.4, Issue 2, pp.44-66, ISSN: 2166-2681 (Print), 2690-0408 (Online). -
Decolonizing social psychology in India: Exploring its role as emancipatory social science /
Psychology & Society, Vol.8, Issue 1, pp.57-74, ISSN: 2041-5893. -
The social representations of academic achievement and failure /
Psychological Studies, Vol.60, Issue 2, pp.231-241, ISSN No: 0974-9861 (Online) 0033-2968 (Print) -
Rethinking the place of socioeconomic status identity in students' academic achievement /
European Journal of Psychology & Educational Studies, Vol.2, Issue 2, pp.242-249, ISSN No: 2395-2555 (Online) -
Learners' intention to adopt virtual experiences in higher education
Virtual- experience technologies enable the creation of virtual classrooms and immersive learning experiences that are more engaging and effective than traditional methods. The chapter has made use of a descriptive research design, which utilizes a purposive sampling technique to collect data from the students of Higher Education Institutions in the National Capital Region of India. Primary data was collected with the help of a formalized and concealed questionnaire having closed- ended multiple- choice questions on a five- point Likert scale. It was found that digital citizenship, experience, Self- efficacy, and institutional support influence the adoption of virtual experiences in Higher education. Gender has no influence on the adoption intention, but people belonging to different age brackets have different opinions on the adoption of technology, and a greater inclination has been witnessed among the younger generation respondents. 2026, IGI Global Scientific Publishing. All rights reserved. -
Marketing intelligence, part A: Understanding customers in the era of digitalization
Digitalization has completely transformed marketing. It has changed consumption habits, consumer behaviour, and purchasing processes. This work provides the most up-to-date research on the challenges connected with the expanding ground of digitalization and marketing. 2025 Mudita Sinha, Arabinda Bhandari, Samant Shant Priya and Sajal Kabiraj. All rights reserved. -
Marketing intelligence, part B: AI, trust, and innovation in the modern business landscape
Digitalization has completely transformed marketing. It has changed consumption habits, consumer behaviour, and purchasing processes. This work provides the most up-to-date research on the challenges connected with the expanding ground of digitalization and marketing. 2025 Mudita Sinha, Arabinda Bhandari, Samant Shant Priya and Sajal Kabiraj. All rights reserved. -
Factors Affecting Digital Visibility of Small and Medium Enterprises in India
This study sketches the importance of social media, integrated marketing communication, social customer relationship management and its transformation in the small and medium enterprises (SME). These factors can increase interaction and communication of SMEs with its customers. This study incorporates empirical method to elaborate how SMEs can increase visibility and reachability by gaining value through the usage of social media. Findings of the study highlight the challenges faced by SMEs with respect to visibility, examines the usage of different digital platforms by Indian SMEs which can resolve these difficulties and its impact on the business for improved visibility of SMEs when competition is hitting hard on all businesses. 2025 MDI. -
Driving customer brand engagement through augmented reality-induced influencer content among Gen Z: The moderating role of credibility
The present study investigates the impact of Augmented reality-induced influencer content moderated by the influencers credibility, steering to word of mouth trailed by purchase intentions of Gen Z in the fashion industry. This study employs a conceptual model grounded on the theory of social power and the S-O-R model with the moderating role of credibility. Data was gathered from 423 samples. To test the dimensionality of Augmented reality-induced influencer content, exploratory factor analysis with principal component analysis and Varimax orthogonal rotation was adopted. SPSS version 22.0 and AMOS version 20 were used for data analysis. The studys findings indicate that following influencers generates favorable brand effects, such as increased social power and higher purchase intentions, by fostering familiarity and internalizing behavioral intents. Credibility is vital in influencing views and promoting electronic word-of-mouth through interactions between audiences and influencers. Brands have significant chances to engage Generation Z with genuine content by utilizing influencer marketing facilitated by augmented reality. Therefore, the study concludes that Augmented reality-induced influencer content encourages consumers to engage actively and positively drives them toward brand outcomes. 2025 Korean Scholars of Marketing Science. -
Excess and Otherness: Fat, Queer, and Neurodivergent Bodies under Ethnonationalism in Postwar Studio Ghibli
This study examines intersectional representation in animated films through the characters of the Witch of the Waste (Howls Moving Castle) and Yubaba (Spirited Away), positioning them within discourses on fatness, queerness, and the reimagining of witchcraft as a metaphor for neurodivergence. Both characters reify camp aesthetics (a style characterised by excess, artifice, and a self-aware sense of extravagance) through exaggerated mannerisms, grandiose expressions, and theatrical speech, a feat made possible by the medium of animation, which enhances these characteristics beyond what live-action film can achieve. They are perceived as Other because their bodies are rendered disruptive to dominant social norms. Drawing on Sara Ahmeds Cultural Politics of Emotion, this study explores how these witches evoke fear, disgust and discomfort, mainly through their unruly corporeality and deviation from socially sanctioned expression. Fatness, neurodivergence, and queerness, like the abject, exist on the threshold of the acceptable, simultaneously provoking fascination and repulsion. These traits are further entangled with the logic of ethnonationalism, which upholds idealised bodily forms as markers of morality, and national superiority. This study reveals how Studio Ghiblis witches challenge dominant norms while also reflecting broader cultural anxieties about bodies that refuse to conform. The witches also channel the contradictions of the postwar maternal body, tasked with care, burdened with trauma, and shaped by national expectations of productivity and restraint. Ultimately, they offer a lens into how animated media navigates the politics of the body, excess, and deviance, contributing to broader discussions of intersectional representation in film and television. 2025 Australian National University, Dept. of Gender, Media and Cultural Studies. All rights reserved. -
JUSTICE BEYOND COURTS: EXPLORING FEMINIST AND DIGITAL APPROACHES TO RESTORATIVE PRACTICE IN INTIMATE PARTNER VIOLENCE
Intimate partner violence (IPV) has been a worldwide problem that has been quite hard to handle with traditional justice systems that lack the capacity to address the intricate needs of victims. The present paper aims to discuss how using restorative justice (RJ) based on feminist theory and driven by digital innovations, a different route to justice other than the traditional courts can be pursued. The research involves integrative qualitative method of synthesizing the results of peer-reviewed literature, policy reports on the assessment of such programs as Project Restore (New Zealand), NYC Blueprint (USA), and Open Circle (Australia), and online interventions, such as AR storytelling and digital mediation sites. This review shows that feminist models of RJ are based on the safety and empowerment of the survivor providing results that criminal courts can hardly provide. Nonetheless, these models do not have an easy time scaling because of resource limitations. Digital technologies, nevertheless, make RJ more accessible and anonymous, but at the same time they have ethical risks, including questions of privacy and algorithmic bias. The paper argues that such problems may be solved through the combination of feminist ethics and responsible digital design to create survivor-led and technology-enabling RJ systems. The results can be used in theory and policy formulation through the suggested model that will combine feminist and digital methods to make justice innovative, but ethically sound. This is an interdisciplinary approach that holds transformative prospects in the context of dealing with IPV worldwide. 2025. -
The Rise of Defi: Functional Applications and Its Comparison With Conventional Finance
Decentralized Finance (DeFi) is rapidly transforming the traditional financial system by introducing a permissionless, transparent, and trustless financial ecosystem powered by blockchain technology. It eliminates intermediaries by utilizing smart contracts on public blockchains like Ethereum, thereby promoting financial inclusion and operational efficiency. This paper explores the fundamental concepts of DeFi, the underlying technology including Ethereum, smart contracts, and Layer 2 solutions, and the wide array of its applications such as (DEXs), lending/borrowing platforms, yield farming, and stablecoins. In addition to examining the functional advantages of DeFi like reduced transaction costs and increased accessibility, the paper also critically analyzes the potential risks including smart contract vulnerabilities, regulatory concerns, and systemic dependencies. A special focus is given to the Indian regulatory framework and how it compares with global jurisdictions. The paper concludes with a discussion on the future prospects of DeFi. 2026, IGI Global Scientific Publishing. All rights reserved. -
Protecting Cultural Knowledge in the Digital Era: Legal Dimensions of Intellectual Property in AI- Powered Immersive Learning and the Metaverse
The rapid expansion of AI- driven metaverse environments has challenged traditional intellectual property frameworks, leaving indigenous and cultural heritage vulnerable to unauthorized use and misrepresentation. This study analyzes legal gaps in the protection of cultural knowledge in immersive digital platforms, highlighting risks posed by generative AI and decentralized governance. We evaluate emerging solutions such as blockchain- based ownership verification and NFT licensing-against ethical concerns of profit- sharing and moral rights. Drawing on comparative legal research, we propose an international framework integrating digital rights management and sui generis protections for cultural assets. Our recommendations stress collaboration among governments, international organizations, and technology developers, alongside the inclusion of digital heritage law in academic curricula, to empower indigenous communities to safeguard their cultural rights. 2026 by IGI Global Scientific Publishing. All rights reserved. -
Blockchain Node Intelligence Based onDecentralized Framework
Blockchain enhances transparency, transaction speed, and governance reliability for organizations such as manufacturing and supply chain organizations by operating in decentralized environments. Supply chain traceability involves tracking products from their origin to customers, requiring transparency, authenticity, and high efficiency. This paper tries to address the performance gain and challenges in blockchain-based supply chain by making efficient use of on-prem and cloud environments in the blockchain network. As the volume of data being generated in blockchain network continues to grow, data security and performance become increasingly critical. Many existing big data security systems rely on controlled third-party providers, making them vulnerable to various security risks. Blockchain technology offers a promising solution by addressing key challenges such as scalability, immutability, trust, data governance, and transparency, thereby enhancing the protection of personal information. This work focuses on assessment of blockchain processing performance through on-prem, distributed, and decentralized environments and possibility of blockchain nodes to have intelligence, optimized processing capabilities by gaining appropriate infrastructure. We analyze the key challenges of blockchain when execution happens in a standalone system than in scalable ones. We tested a few popular mining processes on cloud platforms and a local system to assess execution speed and discuss a suitable platform to host blockchain. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. -
Comparative Performance Evaluation of GEO, MEO, and LEO Satellite Networks under Traffic Attacks
This paper presents a comparative evaluation of geostationary (GEO), medium-earth orbit (MEO), and low-earth orbit (LEO) satellite constellations under realistic traffic attack models. We use OMNeT++ v6.1 with the INET-4.5 framework for simulation and Python for analysis. Key performance metrics include end-to-end latency, throughput, packet delivery ratio (PDR), and resource utilization measured under normal and attack conditions. Our results indicate that MEO yields the highest throughput and resource utilization, while LEO offers the lowest latency. We provide a clear description of the simulation conditions, attack models, and statistical methods used to evaluate resilience under degraded operation. 2025 IEEE. -
Algorithmic Governance in ESG Ratings: Addressing Bias and Enhancing Transparency in AI- Driven Sustainable Finance
ESG ratings serve as guides for corporate investment and strategic decisions and are appended with numerous biases, inconsistencies, and lack of transparency. The present chapter attempts to examine the ratings of 100 companies from different industries and regions and compare S&P Global with MSCI and Sustainalytics. The chapter researches the effects of size, sector, and regional biases on scores using a mixed- method approach. Findings show that energy- intensive sectors are downgraded because of sustainability efforts; large firms get higher grades due to better disclosure, and performance is also higher for companies in jurisdictions marked by stringent regulations. Inconsistencies in ratings are illustrated further by examples of the specific study cases that deal with BlackRock and Tesla. This chapter brings an AI- enabled framework that uses blockchain and machine learning, as well as real- time information, to boost transparency and standardization in response to these issues. 2025 by IGI Global Scientific Publishing. All rights reserved. -
Analyzing students academic performance using multilayer perceptron model
Identification of the students behavior in the class room environment is very important. It helps the lecturer to identify the needs of the students. It also aids in identifying the strength and weakness of the individual and guide them to improve on their performance. Observing and supervising the students regularly can improve their performance. The data has been collected from 120 students who took the common the course taught by two different lectures. The students were observed based on the internal assignments and quizzes and the model exam given by the respective lecturers. In this paper the students are categorized into different groups based on their performance using Multilayer Perceptron (MLP) and also different factors which are influencing the performance of the students are identified. BEIESP. -
Biomass-derived carbon supported cobalt-phospho-boride as a bifunctional electrocatalyst for enhanced alkaline water splitting
Developing efficient and low-cost bifunctional electrocatalysts for overall water splitting in order to reduce the future energy crisis is crucial and challenging. Herein, a facile two-step fabrication via pyrolysis and chemical reduction was used for the synthesis of biomass-derived carbon-based electrocatalyst (MT) from mulberry bark and its subsequent modification with cobalt phospho-boride (MT/CoPB) for efficient bifunctional electrocatalysis in alkaline media. The effect of B/P ratios and carbon-to-metal ratios on electrocatalytic performance of HER was investigated. Notably, the optimized MT/CoPB catalyst (B/P = 5, C : M = 2 : 1) exhibited a lower overpotential of ?86 mV for HER and 310 mV for OER to reach the current density of 10 mA cm?2. The robust electrocatalytic performance of MT/CoPB towards the HER and OER was attributed to the combined effect of carbon and CoPB. Notably, it achieved a low cell voltage of 1.59 V to reach a current density of 10 mA cm?2, also maintaining reliable long-term stability. Characterization studies revealed that the enhanced performance was due to the amorphous structure of the catalyst, high electrochemical surface area, and efficient charge transfer. This work demonstrates the potential of biomass-derived carbon-based materials in the development of cost-effective and durable electrocatalysts for water splitting and green hydrogen production. 2025 RSC.