| Paper ID |
IJIFR/V13/E10/012
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| Author |
G. Arundhathi
V. Lakshmi Kalaimathi
Santhil K J
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| Paper Title |
Analytical Representation of All India Survey based on Imparting Higher education in India
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| Subject Category |
Education
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| Abstract |
The All-India Survey on Higher Education (AISHE) was initiated in 2011, during
which data for the year 2010-11 was collected. This Survey was necessitated as none of the
source of data on Higher Education was giving complete picture of Higher Education in the
country. The Survey intended to cover all the Institutions in the country engaged in imparting
Higher Education. For the first time all the major Stakeholders in Higher Education, such as
University Grants Commission, All India Council for Technical Education, Medical Council of
India as well as State Governments participated in the data collection exercise. The entire
survey was conducted through Electronic Mode and a dedicated portal http://aishe.gov.in
was developed for this purpose. In the initial years, the list of institutions was prepared by
consulting State Government Departments, Ministries and Institutions.
In view of the immense utility of the Survey for providing comprehensive data, the
AISHE Surveys were continued over the years on an annual basis. Data on several parameters
such as teachers, student enrolment, programmes, examination results, infrastructure etc.
are being collected and indicators of educational development such as Institution Density,
Gross Enrolment Ratio, Pupil Teacher Ratio, Gender Parity Index, etc. are calculated from
the data collected through AISHE. These are useful in making informed policy decisions. It is
pertinent to mention that the results published in AISHE reports are based on the number of
registered institutions who have uploaded their information.
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| Keyword |
Higher Education, AISHE, States Universities, States Colleges
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| Paper ID |
IJIFR/V13/E10/011
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| Author |
Dr. A. Anandhiprabha, Assistant Professor, Department of Commerce – Banking and Insurance NGM College, Pollachi, Tamilnadu.
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| Paper Title |
FAMILY SUPPORT AND WORK–LIFE BALANCE AMONG WOMEN FARMERS: AN EMPIRICAL STUDY
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| Subject Category |
Commerce – Banking and Insurance
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| Abstract |
Women farmers play a vital role in agricultural production while simultaneously managing household and caregiving responsibilities. Balancing these dual roles often creates physical, emotional, and social challenges that affect their work–life balance. The present study examines the influence of family support and family relationships on the work–life balance of women farmers. Primary data were collected from 120 women farmers using a structured interview schedule. The study employs descriptive statistics, correlation analysis, and regression analysis to evaluate the impact of spousal support, emotional support, household cooperation, and participation in decision making on work–life balance. The findings reveal that women farmers with stronger family support experience lower stress levels, improved personal well-being, and better management of agricultural and domestic responsibilities. Emotional support and spousal cooperation emerged as major factors positively influencing work–life balance. The study further highlights that supportive family environments contribute significantly to women farmers’ productivity, mental well-being, and overall quality of life. The paper concludes by emphasizing the importance of family-centered approaches and gender-sensitive agricultural policies to improve the work–life balance and empowerment of women farmers in rural communities.
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| Keyword |
Women Farmers, Work–Life Balance, Family Support, Rural Development, Agricultural Empowerment
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| Paper ID |
IJIFR/V13/E10/010
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| Author |
Dr.P.V.Nandhini, NGM Collge
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| Paper Title |
A Comprehensive Study on the Relationship Between Adolescent Screen Time and Physical Fitness Levels
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| Subject Category |
Commerce
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| Abstract |
The present paper discusses the effect of the use of screen time on cognitive and emotional results in adolescents with the sample size of 125 respondents. The study is intended to comprehend the effects of demographic and cognitive abilities on emotional well-being under the condition of growing digital exposure. The structured questionnaire was used to gather data and was analyzed in terms of descriptive statistics, Pearson correlation, and multiple regression. The results show that cognitive skill is positively related to emotional outcomes in a significant way meaning that, the greater the cognitive engagement, the greater the emotional well-being. In contrast, demographic variables such as age and gender do not show a significant influence on emotional outcomes. The regression analysis also proves that cognitive skill is the most significant predictor, and explains moderate percentage of variance in levels of emotions. The paper points out the influence of the screen time is more about quality and the purpose than the time. Positive and constructive screen use can be used to boost cognitive development and consequently, emotional well being in adolescents. The results highlight the necessity of a moderate and attentive attitude towards screen time, as well as the proper parental and educational guidance. The research is an addition to the existing literature on digital behavior and development and provides practical implication on how to encourage healthy screen-based behaviors.
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| Keyword |
Exposure, Melatonin, calorie-dense, lifestyle
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| Paper ID |
IJIFR/V13/E10/009
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| Author |
KIRANJEET, DESH BHAGAT UNIVERSITY, MANDI GOBINDGARH
DR. KANWALJIT KAUR, DESH BHAGAT UNIVERSITY, MANDI GOBINDGARH
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| Paper Title |
Digital Service Recovery on Social Media and Brand Loyalty: A Quantitative Study of Gen Z Students in Chandigarh
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| Subject Category |
Commerce & Business Management
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| Abstract |
The increasing reliance on social media as a main platform is fundamentally changing the way service failures are understood and evaluated, especially among Generation Z consumers who are highly active, vocal, and attentive in the digital environment. Service recovery initiatives undertaken on social media platforms are not limited to individual complaints but are publicly visible, shaping broader brand perceptions. In this regard, a quantitative research study is conducted that examines the impact of digital service acquisition on social media on brand loyalty among Gen Z students. A structured questionnaire with a five-point Likert scale is used to collect primary data from Gen Z students. The questionnaire mainly focused on key aspects of digital service recovery, such as response timeliness, empathetic communication, transparency, and perceived fairness. Data analysis is done using SPSS which uses descriptive statistics, reliability analysis, correlation and multiple regression techniques.
The findings showed that digital service recovery on social media had a significant and positive impact on brand loyalty, with prompt responses and empathetic interactions emerging as the most influential determinants. The study focused on how effective social media recovery practices play a significant role in reducing the negative consequences of service failures and strengthening customer-brand relationships. This research focuses on Generation Z consumers, contributes to a growing body of literature on service recovery and digital marketing, and offers practical insights for organizations seeking to develop a responsive and trust-based social media service recovery strategy.
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| Keyword |
Digital Service Recovery; Social Media; Brand Loyalty; Generation Z; Service Recovery; Quantitative Study
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| Paper ID |
IJIFR/V13/E10/008
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| Author |
Sainulabid A P, Department of Tourism Management, Indira Gandhi National Tribal University, Amarkantak (M.P.)
Mrudhula E, Department of Tourism Management, Indira Gandhi National Tribal University, Amarkantak (M.P.)
Dr. Rohit Ravindra Borlikar, Department of Tourism Management, Indira Gandhi National Tribal University, Amarkantak (M.P.)
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| Paper Title |
Tourist Experience at Cultural Destinations: An Empirical Study on the Role of Smart Tourism Technologies
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| Subject Category |
Smart Tourism Technologies
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| Abstract |
Purpose: The use of smart tourism technology (STT) has changed how tourists interact with destinations, especially in culturally important places where experience plays a central role. This study explores the role of smart tourism technologies in cultural destinations and examines how these technologies influence tourist experience.
Methodology: The study adopted a descriptive and empirical research approach. Primary data were collected through a structured questionnaire based on a five-point Likert scale using a convenience sampling technique. Descriptive statistics and linear regression analysis were applied using SPSS and MS Excel for data analysis.
Findings: Respondents generally hold positive perceptions of the use of smart tourism technologies in cultural destinations. The regression analysis further indicates a positive relationship between smart tourism technologies and tourist experience.
This study adds to the existing literature by providing empirical evidence on the influence of smart tourism technologies on tourist experience in a cultural tourism destination. This study also highlights the importance of integrating digital technologies to improve experiential value in cultural tourism.
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| Keyword |
Smart Tourism Technologies, Cultural Tourism, Tourist Experience, Smart Destinations
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| Paper ID |
IJIFR/V13/E10/007
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| Author |
Vikas Sharma, Government PG College, Ambala Cantt
Priya Atri, Higher Education Department, Himachal Pradesh
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| Paper Title |
AN EXAMINATION OF NEUTRALIZATION AND RATIONALIZATION TECHNIQUES EMPLOYED BY DIGITAL FILE SHARERS: A SYSTEMATIC LITERATURE REVIEW AND THEORETICAL INTEGRATION
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| Subject Category |
Computer Science
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| Abstract |
The proliferation of digital technologies, peer-to-peer platforms, and online content-sharing ecosystems has intensified concerns regarding unauthorized digital file sharing and piracy. Although legal and technological interventions have been implemented to curb digital piracy, persistent engagement in unauthorized downloading and sharing suggests that behavioral, psychological, and moral dimensions play a critical role in shaping user conduct. This study systematically reviews the extant literature on neutralization and rationalization techniques employed by digital file sharers and proposes an integrated theoretical framework to explain the persistence of digital piracy behavior.. This study adopts a systematic literature review (SLR) methodology informed by Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) principles. Peer-reviewed literature published between 1991 and 2024 was examined across leading academic databases, including Scopus, Web of Science, ScienceDirect, Emerald Insight, SpringerLink, Taylor & Francis, and Google Scholar. Studies focusing on digital piracy, neutralization theory, rationalization, moral disengagement, theory of planned behavior, and online deviance were systematically identified, screened, and synthesized. A thematic and theoretical integration approach was employed to identify recurring explanatory patterns, conceptual inconsistencies, and emerging research directions.The review reveals that neutralization and rationalization mechanisms consistently function as central psychological justifications enabling individuals to engage in unauthorized digital file sharing while minimizing feelings of guilt and moral conflict. Frequently observed neutralization techniques include denial of injury, denial of responsibility, denial of victim, condemnation of condemners, and appeal to higher loyalties. Findings further indicate that rationalization mediates the relationship between ethical beliefs and digital piracy intentions by reframing unauthorized sharing as socially acceptable, economically justified, or morally harmless behavior. The study identifies perceived anonymity, peer influence, subjective norms, moral obligation, technological accessibility, and perceived risk as recurrent antecedents shaping digital piracy intentions. Existing research remains theoretically fragmented, with limited integration between criminological, psychological, and information systems perspectives.
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| Keyword |
Digital file sharing, Digital piracy, Neutralization theory, Rationalization, Theory of planned behavior, Cybercrime, Online deviance, Moral disengagement, Copyright infringement, Digital ethics
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| Paper ID |
IJIFR/V13/E10/006
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| Author |
Mehta Himachal Prakashkumar, Sabarmati University, Ahmedabad
Dr. Ishita Raval, Dr. Ishita Raval
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| Paper Title |
The Role of Innovative Product Labeling in Driving Impulse Buying Behaviour: A Comparative Study between Urban and Rural Consumers in Ahmedabad District
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| Subject Category |
Department of Commerce & Management
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| Abstract |
In highly competitive markets, product labeling has now developed from being an informative aspect alone to an effective sensory and psychological marketing technique. Recent developments in product labeling include use of QR codes, texture labeling, high-quality graphics, and smart labels, which play a significant role in inducing impulse purchase decisions in consumers. In this context, the current research paper explores the effect of labeling innovation on impulse purchase behavior in urban and rural consumer populations of the Ahmedabad district. This research follows a descriptive empirical cross-sectional survey methodology. The sample size for the research comprised 400 respondents, who were equally split between urban and rural consumer populations. Three independent variables of labeling innovation were selected: visual innovation, informational innovation, and structural innovation, while impulse purchasing behavior was considered the dependent variable.
Data analysis was carried out using Cronbach’s Alpha, correlation analysis, multiple regression, and moderated regression analysis techniques. It is apparent that innovative labeling is a critical variable determining impulse purchases among customers, with visual innovation having the greatest impact. Customers from urban areas had higher levels of response toward information innovations, including the use of QR codes and smart authentication tags, while rural customers had higher responses towards visually appealing packages and colorful packages. The research makes a significant contribution to the area of retail psychology because it applies Hawkins Stern’s Impulse Buying Theory to modern-day labeling practices in FMCG products in India. The results provide practical implications for business managers to customize their labeling schemes depending on behavioral patterns of different consumers. It is recommended that the use of neuromarketing and eye tracking techniques be applied in future studies.
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| Keyword |
Innovative labelling, impulse buying behaviour, packaging innovation, QR codes, FMCG marketing, urban consumers, rural consumers, Ahmedabad district
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| Paper ID |
IJIFR/V13/E10/005
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| Author |
Gudimalli Rajashekar, Department of Multi – Disciplinary Research Unit, Kakatiya Medical College, Warangal, Telangana-506007. e-mail: [email protected]
Nallagasu Raju, School of Allied Healthcare Sciences, Malla Reddy University, Hyderabad, Telangana-500014. e-mail: [email protected]
V. Nagarjuna, LVPEI, Banjara Hills, Hyderabad, Telangana – 500034. e-mail: [email protected]
B. Susmitha, Assistant Professor, Department of Microbiology, St. Pious X Degree & PG College for Women (Autonomous), Hyderabad, Telangana- 500076.
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| Paper Title |
Rheumatoid Arthritis: Insights into Inflammatory, Microbiotic and Genetic Contributions
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| Subject Category |
MEDICAL SCIENCES
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| Abstract |
ABSTRACT:
Rheumatoid arthritis (RA) is a chronic inflammatory autoimmune disease characterized by polyarthritis, synovial tissue hypertrophy, infiltration of leukocytes, destruction of cartilage, formation of pannus, and tenosynovitis. It affects approximately 0.5% to 1.0% of the global population, leading to prolonged inflammation that impacts all body organs. This condition can lead to associated complications, including rheumatoid lung disease, carditis, vasculitis, cachexia, anemia, accelerated atherosclerosis, myocardial and cerebrovascular diseases, lymphoma, osteoporosis, depression, physical disabilities, and increased cardiovascular mortality linked to RA symptoms. Early diagnosis and symptom management are essential to prevent severe outcomes. Severity is evaluated using the DAS28 scale and ACR/EULAR classification, as this long-lasting inflammatory disorder is often instigated by a mix of genetic factors and environmental triggers. The presence of anti-citrullinated protein antibodies heightens the risk of recurrence from 13% to 32% within a year. The disease's pathogenesis involves autoreactive immune CD4+ T cells, B cells, macrophages, as well as inflammatory mediators, including cytokines, chemokines, and autoantibodies, with hormonal changes playing a role. Approximately 40% of severe RA patients are HLA-DR4 positive, commonly exhibiting complications like vasculitis, neuropathy (usually associated with vasculitis), serositis, interstitial lung disease, pulmonary nodules, scleritis, glomerulonephritis, and Felty syndrome. Treatment typically involves conventional DMARDs like methotrexate, hydroxychloroquine, and sulfasalazine, as well as synthetic disease-modifying antirheumatic drugs (sDMARDs), including pan-JAK and JAK1/2 inhibitors, along with biological DMARDs (bDMARDs). The microbiome plays a role in the local and systemic inflammatory immune responses, and adjuvant therapy with probiotic bacteria such as Lactobacillus casei or Lactobacillus acidophilus can alleviate symptoms and provide anti-inflammatory benefits. Genetic predispositions significantly influence RA, with heritable traits linked to specific genetic factors like HLA-DR and the "conserved shared epitope" (SE) in the third hypervariable region of the DRB1 chain being associated with a heightened risk of the disease. This review emphasizes the interlink between RA, in-relation with inflammation, microbiota and the genetic factors/contributors associated, for in-depth understanding and management of RA.
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| Keyword |
Rheumatoid arthritis; Inflammation; Microbiota; Genetic predisposition; Cytokines; Autoimmunity; DMARDs
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| Paper ID |
IJIFR/V13/E10/004
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| Author |
Burra Joshna, Viswam Engineering College
Dr. S. Usharani, Viswam Engineering College
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| Paper Title |
ROUTESENSE AI: DESIGN AND EVALUATION OF AN INTELLIGENT FRAMEWORK FOR SUPPLY CHAIN DELAY PREDICTION
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| Subject Category |
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| Abstract |
Efficient logistics management is a critical requirement in modern supply chain systems, where timely delivery, cost optimization, and operational reliability are essential. The increasing complexity of transportation networks, coupled with dynamic environmental factors such as traffic congestion, weather variations, and fluctuating demand, poses significant challenges to traditional logistics systems. Conventional approaches rely on static routing and manual planning, which lack the capability to adapt to real-time conditions and predict disruptions proactively. This paper presents ROUTESENSE AI, an intelligent logistics platform that integrates predictive analytics and route optimization to enhance delivery efficiency. The proposed system leverages historical and real-time data to forecast potential delivery delays using machine learning techniques. A Random Forest-based predictive model is employed to analyze key features such as distance, traffic conditions, and delivery timelines, enabling accurate delay prediction. Additionally, the system incorporates a dynamic route optimization mechanism that evaluates multiple parameters, including travel time, fuel consumption, and route congestion, to generate optimal delivery paths. The platform is implemented using Python, Django, and Scikit-learn, with a modular architecture that supports scalability and real-time monitoring. Experimental results demonstrate improved prediction accuracy and significant enhancement in routing efficiency compared to traditional systems. ROUTESENSE AI enables proactive decision-making, reduces operational costs, and improves customer satisfaction, thereby offering a scalable and intelligent solution for modern logistics management.
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| Keyword |
Logistics optimization; Delay prediction; Machine learning; Route planning; Predictive analytics
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| Paper ID |
IJIFR/V13/E10/003
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| Author |
Dr. P. Anitha, NGM College, Pollachi
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| Paper Title |
WORK-LIFE BALANCE AMONG SINGLE WORKING WOMEN: A STUDY OF INFLUENCING FACTORS
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| Subject Category |
Commerce
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| Abstract |
Work-life balance has become an important issue in the modern working environment, especially among women who manage both professional and personal responsibilities. Single working women face greater challenges because they often handle family responsibilities independently without the support of a spouse. The present study aims to analyse the factors influencing work-life balance among single working women in Pollachi Taluk. The study is based on primary data collected from 105 respondents through a structured questionnaire using purposive sampling technique. Statistical tools such as simple percentage analysis and weighted average ranking method were used for analysis. The findings reveal that family support, suitable working hours, safe working environment, and emotional support from parents and children significantly influence work-life balance. The study concludes that both organizational support and family support are essential in improving the well-being and work-life balance of single working women.
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| Keyword |
Work-life balance, single working women, organizational support, family support, employee well-being.
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| Paper ID |
IJIFR/V13/E10/002
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| Author |
Ms.Radhika Jayakumar, Assistant Professor, Department of Commerce PA & CS, Sri Krishna Arts & Science College, Coimbatore, Tamil Nadu, India
Dr.P.R.Brinda Kalyani, Associate Professor, Department of Commerce PA & CS, Sri Krishna Arts & Science College, Coimbatore, Tamil Nadu, India
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| Paper Title |
Digital Transformation in Banking and Trading: Regime-Based Analysis of Automated Quant Fund Performance in India
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| Subject Category |
Finance
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| Abstract |
Automated Quant Mutual Funds (AQMFs) are being increasingly adopted in the Indian Mutual Fund Industry due to the digital transformation that has changed the way banks operate and trade. The AQMFs can use Algorithmic Models, Data Analytics, and Rule-Based Asset Allocation to improve efficiency and reduce risk in dynamic markets. However, the performance behaviour of the AQMFs has been inadequately examined when comparing the performance across different levels of market volatility. Therefore, this research will examine the performance of the two quant-oriented mutual fund schemes using daily data from April 2023 to January 2026, relative to two key market indicators: the NIFTY 50 Index and the India VIX. To achieve the objective of this study, a two-state Markov Regime-Switching Regression Model with regime-dependent means and variances will be used to determine whether there are distinct low- and high-volatility market regimes and to measure the time-varying return and risk dynamics during each regime. The findings suggest that automated quant funds produce statistically significant positive returns with lower volatility when low volatility exists and significantly higher risk (and therefore, likely, insignificantly negative returns) when high volatility exists. It is also shown that the empirically derived regimes correspond well with both the level of the India VIX and the return behaviour of the Nifty 50. Therefore, this indicates the robustness of the analytical model employed in this research. As such, it appears that the use of regime-specific methods to evaluate the performance of digitized quantitative strategies provides a much more accurate representation of the true performance of these strategies relative to those generated from static models. This research also identifies a number of important implications for investors, fund managers and policy makers regarding the need for volatility sensitive and dynamic investment strategies as India's rapidly changing digital environment evolves.
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| Keyword |
Digital Transformation, Quant Funds, Regime Analysis, Market Volatility, Automated Trading
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| Paper ID |
IJIFR/V13/E10/001
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| Author |
Navjot Kaur Atwal, Mount Carmel College, Bengaluru
Dr. Hamsa N, Dean and Associate Professor, Department of Psychology, Mount Carmel College Autonomous, Bengaluru
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| Paper Title |
Examining the Relationship between Resilience and Self-Esteem Levels among Reappearing Candidates in the Civil Service Examinations (CSE)
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| Subject Category |
Psychology
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| Abstract |
The purpose of this study was to examine the resilience and Self-Esteem levels of reappearing
candidates in the Civil Service Examination (CSE). It was hypothesized that there is a significant difference in the level of resilience and self-esteem among candidates giving their first two
attempts (Group 1) and third to sixth attempts (Group 2) in the civil service examination. In addition, there is a significant difference in the level of resilience and self-esteem among
candidates belonging to different genders appearing in the civil service examination. There were 105 participants in the study. Resilience was assessed using the Connor Davidson Resilience
Scale (CDRS-25), while self esteem was measured using the Rosenberg Self-esteem Scale. The results indicated no significant difference in the level of resilience between the two groups.
However, there is a significant difference in the self - esteem levels between the two groups. Additionally, no significant difference was found in the level of resilience and self-esteem among candidates belonging to different genders.
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| Keyword |
Civil Service Examination, Resilience, Self-esteem, gender
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