| 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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