ShodhKosh: Journal of Visual and Performing Arts

VOLATILITY SPILLOVER BETWEEN NIFTY FIFTY INDEX AND SELECTED MUTUAL FUNDS IN INDIAN STOCK MARKET: DCC GARCH TECHINQUE

Monika — 2026-05-18

Purpose: This study aims to examine the volatility spillover effects and measure the time varying correlations between nifty fifty index and selected mutual funds in Indian mutual fund market. Methodology: The research uses Exponential GARCH proposed by Nelson (1991) to explore the direction and magnitude of spillover effects between nifty fifty index and selected mutual fund. It employs Dynamic Conditional Correlation (DCC) GARCH proposed by Engle (2002) to demonstrate the time varying conditional correlation between heteroscedastic coefficients of the share (nifty) and mutual funds market. Findings: Empirical results show that significant and asymmetric bi-directional volatility spillover effects exist in case of most of the selected mutual funds even though, the magnitude of volatility spillover is found larger in the direction from nifty to equity mutual fund. The dynamic correlation between the conditional variance of the nifty and mutual fund markets is found to be significant in case of all the selected mutual funds. It proves that significant volatility spillover effect is present between nifty fifty index and selected mutual funds. Implications: Understanding of volatility transmission and interrelationship between nifty and mutual fund market will help investors make right investment decisions, portfolio optimization and financial risk management. Policy makers and regulators can use this knowledge in planning and implementing appropriate regulatory framework. Originality/Value: Much of the past research focuses on inter market volatility spillover taking into consideration two or more different financial markets. This study focuses on intra market volatility spillover by studying the interactions of stock and mutual fund markets. Also, considering the time-varying nature of conditional correlations, this study employs EGARCH and multivariate GARCH (DCC) to capture the volatility spillover effects instead of univariate GARCH or standard linear VAR models.

GENDER EQUALITY AND SUSTAINABLE DEVELOPMENT: THE ROLE OF WOMEN WELFARE PROGRAMMES IN SOCIAL TRANSFORMATION

Anika Gandhi — 2026-05-18

Gender equality and women's empowerment are universally recognised as foundational prerequisites for sustainable development, enshrined in the United Nations Sustainable Development Goal 5 (SDG 5) of the 2030 Agenda. Despite substantive policy commitments and the proliferation of women welfare programmes across India, the translation of these interventions into lasting social transformation remains uneven, contested, and insufficiently evidenced at the aggregate level. This study undertakes a systematic secondary data analysis to examine the role of women welfare programmes in advancing gender equality and fostering sustainable social transformation in India. Drawing upon nationally representative and internationally validated datasets — including the National Family Health Survey-5 (NFHS-5, 2019-21), NFHS-4 (2015-16), the Periodic Labour Force Survey (PLFS, 2022-23), the World Economic Forum Global Gender Gap Report (2023), the UNDP Gender Inequality Index (2022), the Economic Survey 2022-23, and MoWCD Annual Reports — the study evaluates trends across economic empowerment, educational attainment, health and nutrition, and social and political agency dimensions. Findings reveal that welfare programmes have produced measurable gains across key access indicators: women's bank account ownership rose by 25.6 percentage points to 78.6%; institutional delivery rates reached 88.6%; and the SHG ecosystem now covers 142 million families through 12 million women-led groups. However, structural transformation indicators — spousal violence (−1.8 pp), child marriage (23.3%), and cash-paid employment (+0.8 pp) — remain near-stagnant, exposing a fundamental paradox at the heart of India's gender policy: impressive programme reach has not yet produced commensurate changes in power relations, economic agency, or social norms. The study contributes an intersectional, multi-source analytical framework to the gender equality literature and concludes with evidence-based policy recommendations for rights-based, convergent, and intersectional welfare programme design.

VOICES OF THE TRADITION: RITUALS, RELIGION, AND PERFORMATIVITY THROUGH BHOJPURI MARRIAGE SONGS

Sanghmitra Bairagi — 2026-05-18

The Bhojpuri speaking region occupies a very important position in the cultural landscape of Northern India. Bhojpuri is a language spoken in eastern Uttar Pradesh and western part of Bihar. The Bhojpuri marriage songs carry with itself a very rich and layered cultural traditions. It combines with itself ritual practice, religious symbolism, social memory, gendered expressions, and performatives aesthetics. These songs are sung during various stages of wedding ceremony. They are known by different names as per the ceremonies. The songs function not only as entertainment but as a repository of cultural values, community ethics, emotional experiences, and collective identity. This paper focuses on the importance of Bhojpuri marriage songs, which can be seen as a form of ritualized performance, it is deeply embedded in in the ceremonial life of Bhojpuri region. Hence, the effort here is to explore the ritual, religion, their performance through the marriage songs. The paper also highlights that how these songs are also used as a social commentary on various issues faced by the region. Further, as these songs are sung by women, it makes them the custodians of the oral tradition and cultural continuity. The paper tries to create an understanding about how the Bhojpuri marriage songs constitute an important form of intangible cultural heritage.

PRESERVING AND PROMOTING INDIGENOUS KNOWLEDGE SYSTEMS: A CASE STUDY OF THE CHINMAYA MISSION

Vineeta Mishra — 2026-05-18

This case study narrates how the Chinmaya Mission, which was founded in 1953 by Swami Chinmayananda Saraswati, could be considered as a living case study of how Indigenous Knowledge Systems (IKS) could be maintained, institutionalized and scaled with values-based leadership and strategic coherence. The study reveals the overlap of philosophy, pedagogy and social innovation in the ecosystem of the Chinmaya Mission through first-hand field experience with the Chinmaya Mission Sidhbari Ashram and the Chinmaya Organisation for Rural Development (CORD) villages, as well as secondary research.
It also explores the operationalization of the concepts of Advaita Vedanta by management practices such as leadership development, participatory governance, knowledge transfer, and sustainability.
The analysis reveals that the Chinmaya Mission has a replicable model that can be applied in the modern-day organizations with the aim of integrating purpose and performance by indigenizing ethics and awareness frameworks.

A COMPARATIVE SAAS FRAMEWORK FOR REAL-TIME SOCIAL MEDIA SENTIMENT ANALYSIS USING MULTI-MODEL APPROACH

Papiya Mukherjee — 2026-05-18

The process of examining a piece of text to identify whether the underlying sentiment expressed is positive, negative, or neutral is known as sentiment analysis. While it may seem straightforward, sentiment analysis is currently playing a vital role in comprehending how people perceive and interact on social media platforms, which is critical information for businesses and content creators. By gauging the sentiments conveyed through textual data, companies and individuals creating online content can gain valuable insights into the emotional responses and engagement levels of their target audiences. This paper presents our platform “Analytix” which is designed for analyzing sentiments across YouTube, Facebook, Reddit, Twitter and WhatsApp etc. It supports 197 languages and can handle multiple languages at once. The core of our platform is its user-friendly dashboard that pulls out the sentiments (positive, negative, or neutral) from posts across different social media platforms. It offers users the flexibility to choose from three different model options for sentiment analysis: GPT, transformer models, and a custom proprietary sentiment analysis model developed inhouse. It deeply analyzes each post to identify the overall sentiment people have towards it

EXPLORATION OF NEW TECHNIQUES FOR SECURING IOT DATA IN HEALTHCARE

Manish Saraswat — 2026-05-18

The Internet of Medical Things (IoMT) has improved remote monitoring, diagnosis, and timely intervention in modern healthcare, but it has also exposed sensitive patient data to interception, unauthorized access, spoofing, denial-of-service attacks, and data tampering. This paper presents a hybrid security model for healthcare IoT in which lightweight cryptography protects device-level communication, machine-learning-based intrusion detection identifies malicious traffic, blockchain preserves integrity and decentralized access control, federated learning enables collaborative model training without sharing raw data, and homomorphic encryption supports secure computation over encrypted records. The proposed algorithm follows a layered workflow of data acquisition, lightweight encryption, edge-level anomaly detection, blockchain verification, federated parameter aggregation, and privacy-preserving cloud analytics. Experimental validation shows that the proposed model achieves 98.5% detection accuracy, 120 ms average latency, and a security score of 9.5/10, outperforming two baseline models with lower accuracy (91.2% and 89.7%), higher latency (150 ms and 180 ms), and lower security levels (7.2 and 6.8). The results indicate that combining decentralized storage, intelligent threat detection, and privacy-preserving learning provides a practical and scalable solution for securing IoT data in healthcare environments.

INTERGENERATIONAL COMMUNICATION IN SPORTS GENRE FILMS: THEMATIC ANALYSIS OF FILM ‘DANGAL’ THROUGH SEMIOTIC PRISM

Aditya Kumar — 2026-05-18

The research study takes a semiotic analysis of the Hindi movie Dangal (2016) to understand the function of dialogue as an audio-visual code in the lives of the most representative main characters, Mahavir Phogat and his daughters in relation to intergenerational communication. The study decodes how the spoken exchanges bring meaning at the thematic depth and bolster the progression of the denotation and connotation. The denotations totally build plot and character development while the connotative meanings unfold present undercurrents of emotion, ideological tensions, and cultural contexts. The analysis follows some crucial narrative moments in the film where dialogue catches the drama of the changing father-daughter relationship along themes of discipline, perseverance, authority, and empowerment. Drawing on selected dialogues and attaching time stamps to them, the article shows how speech is present in the narrative not just as a device but as a multi-layered semiotic system that influences character and spans generations. By treating dialogue as a linguistic and cinematic code, this study proves how speech within Dangal may further be used to inscribe public as well as personal change, making it a compendious text for semiotic and cultural analysis.

INTERSECTIONS OF GENDER, CLASS, AND CINEMATIC SPACE: FEMALE AGENCY IN PARASITE AND THE GRAND BUDAPEST HOTEL

A.Alageshwari — 2026-05-18

This article develops an intersectional feminist analysis of female agency in Bong Joon-ho’s Parasite (2019) and Wes Anderson’s The Grand Budapest Hotel (2014), examining how gender, class, race, and cinematic space intersect in the social and economic portrayal of women. Drawing on Kimberlé Crenshaw’s concept of intersectionality, Laura Mulvey’s theory of the gendered gaze, bell hooks’s oppositional gaze, Henri Lefebvre’s theory of socially produced space, Doreen Massey’s gendered spatiality, auteur theory, semiotic analysis, disclosure theory, and triadic power analysis, the study argues that both films present women as tactically capable, emotionally intelligent, and structurally indispensable, yet refuse them durable narrative sovereignty.[2][3][1] In Parasite, women’s labor is tied to domestic service, class precarity, and architectural confinement, while dangerous disclosures about hidden infrastructures of wealth expose the violent limits of their agency.[4][5] In The Grand Budapest Hotel, Agatha’s skill, mobility, and care sustain the film’s narrative world, but her significance is filtered through a nostalgic masculine memory structure that turns action into recollection and recollection into male authorship.[6][7] Semiotic mapping of basements, kitchens, stairs, smell, floodwater, pastries, corridors, keys, and Agatha’s birthmark demonstrates that the visual grammar of both films encodes women as central to narrative function yet marginal to narrative ownership.[8][9][6] Triad analysis further reveals that female characters often occupy unstable third positions—broker, buffer, mediator, or expendable term—within unequal relational structures that privilege masculine continuity.[10][11][12] By integrating ethos through theoretical credibility, logos through structured comparative method, and pathos through attention to vulnerability, loss, and social exclusion, this article contends that contemporary cinema may visibly animate female agency while still denying women full narrative authority. The comparison between Bong’s class thriller and Anderson’s nostalgic auteur cinema therefore clarifies a broader transnational pattern: women can be indispensable to how stories move while remaining secondary to who finally owns those stories.[6][13][2]

ARTIFICIAL INTELLIGENCE IN HOSPITALITY EDUCATION: A MULTI-INSTITUTIONAL ANALYSIS OF STUDENT’S AWARENESS, PERCEPTIONS AND PERCEIVED USEFULNESS IN INDIA

Rajesh Sathiamoorthy — 2026-05-18

The rapidly evolving landscape of Artificial Intelligence (AI) technology integration in the hospitality industry affects service delivery, operational efficiency, and future decision-making. On the contrary, the current pedagogical approach, especially in emerging countries, creates challenges for students as they adapt to an AI-dominated workplace. Therefore, this study explores the awareness, perceptions, and usefulness of AI among hospitality students in relation to their career readiness for an AI-powered workplace. A quantitative cross-sectional survey was adopted using a structured questionnaire on a sample of 489 hospitality students enrolled in 16 institutes across eight states in India. The data were collected by administering an instrument with five-point Likert-scale items assessing students' awareness, perceptions, and perceived usefulness of AI. Data were statistically analyzed using descriptive statistics, and reliability analysis was assessed through Cronbach’s alpha test. The outcomes demonstrated moderate to high level awareness (Mean ≈3.8 ±1.2) which signifies discourse knowledge related Chatbot, Robotics and Predictive Analysis application of AI tools by the students’ sample group also revealed perceptively positive view on AI (Mean ≈3.9 ±1.1), increased quality services and operational consideration though subtly being concern about job displacement rather than other responded areas perceived usefulness revealed higher marks (Mean ≈4.05 ±1.1), specifically Career Progression as well as for Acquisition Reliability analysis shows Cronbach alpha value as 0.979 indicate the acceptable range to get overall overview on use of Artificial intelligence in Enterprise. However, this paper argues that good norms or intuitive trends within the socioeconomic gap transition for development, between behavioural predispositions about the rapid advancement of science and practice, and educational and theoretical aspects, flanking the demographic generational curve, are resourcefully viable, given the apparent relationship between individual maturational situational variables and institutions.

ARTIFICIAL INTELLIGENCE AND EMPLOYABILITY SKILLS IN HOSPITALITY EDUCATION: EVIDENCE FROM INDIAN INSTITUTIONS

Rajesh Sathiamoorthy — 2026-05-18

Artificial Intelligence (AI) has brought revolutionary changes to the hospitality industry through automation and improved decision-making, and has created hybrid jobs that require competencies from both the technological and hospitality sides. The growing need for AI competence in the industry has led to the development of digital literacy among employees. However, the hospitality education system has been reluctant to integrate such aspects into its curricula, and thus, the employability readiness of hospitality students is at risk. In view of the above, the study evaluates hospitality students' employability readiness in the context of artificial intelligence integration in industry, with particular focus on technical abilities, career preparedness, and willingness to upgrade their qualifications to meet industry needs. Quantitative cross-sectional research has been implemented, using a structured questionnaire. It included 377 hospitality students who answered 46 questions regarding their technical abilities, career preparedness, and willingness to acquire additional skills. A five-level Likert scale was used for data collection. Descriptive statistics (mean and standard deviation) were used as measures of central tendency, and internal reliability was evaluated using Cronbach's Alpha (α = 0.983). It should be noted that the analysis shows that the overall level of employability readiness in the field of AI integration is relatively high, with career readiness and willingness to upgrade especially high (students are highly motivated to adapt to industry changes). However, relatively low marks in technical abilities indicate that students are not well-equipped, technologically speaking. Thus, there is a considerable gap between theoretical knowledge and students' practical skills. It can be concluded that, despite students' high adaptability and employability readiness regarding AI implementation, they lack the practical skills to operate in such conditions.