Volume 13 | Issue 4

 Abstract

The fashion industry has a significant impact on the environment, and sustainable fashion consumption (SFC) has become a pressing concern. This study aimed to investigate the factors influencing sustainable fashion consumption behavior (SCB) among adults, specifically the role of values, attitudes, and norms in shaping such behavior, using the value-belief-norm framework. The study used an online cross-sectional survey design to collect data from 350 participants recruited through a convenience sampling method using social media platforms and email invitations, and the obtained data were analyzed using partial least squares structural equation modelling. The results of the study showed that biospheric (BV), altruistic (AV), and egoistic (EV) values significantly influenced the New ecological paradigm (EP), which, in turn, positively affected awareness of consequences (AC). Personal norms (PN) were positively influenced by EP, AC, and ascription of responsibility (AR). Social norms (SN) and trust in recycling (TR) were also found to positively influence sustainable fashion consumption intentions (SCI). Finally, the study found that SCI and TR were significant predictors of SCB, whereas the moderating effect of TR not statistically significant. The study's originality lies in its comprehensive investigation of the interplay between various factors (particularly using norms in two facets; PN and SN) in shaping SCB, using a structural equation modeling approach, and exploring the moderating effect of TR. The findings of this study suggest that interventions aimed at promoting SFC should focus on fostering values and beliefs that prioritize the environment, encouraging individuals to take responsibility for their actions, creating an environment in which SFC is normalized, and increasing TR.

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 Keywords

Consumption behavior, Sustainable fashion, Environmental concern, Data analysis

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This study explores the effects of an eight-week plyometric training program on cardiovascular endurance in adolescent Taekwondo athletes aged 11 to 14 years. Recognizing the high physical demands of Taekwondo, which combines explosive power with sustained aerobic activity, the research aims to determine whether structured plyometric exercises can enhance cardiovascular fitness in this demographic. Forty participants were selected and randomly divided into experimental and control groups. While both groups continued their regular Taekwondo routines, the experimental group received additional plyometric training three times a week. Cardiovascular endurance was assessed using the Beep Test both before and after the intervention. Data were analyzed using descriptive statistics, paired sample t-tests, and ANCOVA to account for baseline differences. The results revealed a significant improvement in the experimental group's cardiovascular performance compared to the control group, with a large effect size indicating the effectiveness of the intervention. The findings affirm that integrating plyometric training with regular sports routines can significantly enhance cardiovascular endurance in young athletes. The study highlights the potential of such training in developing well-rounded, sport-specific conditioning programs and provides valuable guidance for coaches, trainers, and sports scientists working with adolescent populations.

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 Keywords

Plyometric Training Cardiovascular Endurance Adolescents Taekwondo Athletes Beep Test Aerobic Fitness Youth Sports Training Explosive Power Physical Conditioning VO? Max

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Machine learning and Artificial Intelligence is playing a huge role in today's world. From self-driving cars to medical fields, we can find them everywhere. The medical industry generates a huge amount of patient data which can be processed in a lot of ways. So, with the help of machine learning, we have created a Prediction System that can detect more than one disease. Many of the existing systems can predict disease at a time with lower accuracy. Lower accuracy can seriously put a patient's health in danger. We have considered three diseases for now that are Heart, Parkinson's, and Diabetes and in the future, many more diseases can be added. The user has to enter various parameters of the disease and the system would display the output whether he/she has the disease or not. This project can help a lot of people as one can monitor the persons' condition and take the necessary precautions thus increasing the life expectancy.

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 Keywords

Diabetes, Heart, Parkinson's, SVM, KNN, Logistic Regression, Disease Prediction.

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The Pradhan Mantri Kisan Samman Nidhi (PM-KISAN) scheme launched by the Government of India in 2019 seeks to extend direct financial assistance to marginal and small farmers so that they become economically stable and agricultural productivity is enhanced. This paper discusses the awareness, perception, and effect of the PM-KISAN scheme on farmers in Tirupur district, particularly Avinashi and Palladam taluks. 60 respondents were chosen by convenience sampling, and data were gathered through a structured questionnaire. The study used percentage analysis, Likert scale, and Chi-square analysis in interpreting the data. It was found that although the scheme has immensely facilitated farming investment and family needs, delayed payments, non-digitability, and registration problems still exist. In addition to this, most farmers also wanted more financial support and other assistance like the subsidy on crop insurance and fertilizer. The research concludes that though the scheme is popular and viewed as positive, its performance can be strengthened by its extension to tenant farmers, ease of registration, and provision of more financial assistance. The study provides useful findings for policymakers to maximize the scheme's implementation and assist the economic prosperity of rural Indian farmers.

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 Keywords

PM-KISAN, Farmers' Perception in Financial Assistance and Agricultural Support

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The Online Food Ordering System streamlines the process of ordering meals from restaurants through a user-friendly platform. Customers can browse menus, place orders, make payments, and track deliveries in real time. This system enhances convenience, improves restaurant operations, and ensures a seamless dining experience.

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 Keywords

Food, Order, Track and Restaurant

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Counterfeit medicine poses a significant threat to public health, with the potential to cause harm and undermine trust in healthcare systems. Traditional methods of detecting counterfeit drugs often fall short due to the increasing sophistication of counterfeiters. This research paper is an approach to tackle the issue by employing deep learning algorithms for image classification. It leverages the power of Deep Learning (DL) algorithms to automatically learn relevant features from images of pharmaceutical products and accurately distinguish between genuine and counterfeit drugs. The experimental results demonstrate the effectiveness of the DL model in achieving high accuracy and robustness in identifying counterfeit drugs. It not only advances pharmaceutical security measures but also showcases the potential of DL functions in image classification for safeguarding public health and safety. By comparing with the DL algorithms, it specifies the accuracy of the counterfeit drugs.

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Counterfeit Medicine, Deep Learning (DL), Image Classification, Pharmaceutical Security

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Around the world, differences in race have severe implications for socioeconomic status and politics. This essay analyses the case of racial inequalities in India and the US and argues that India's reservation policy is more effective in mitigating social injustice. Discrimination based on caste is an age-old issue in India. The government has instituted a legally mandated quota system for the Scheduled Castes (SCs), Scheduled Tribes (STs) and Other Backward Classes (OBCs). Unlike American policy, India's system provides guaranteed quotas in politics, employment, and education which enhances representation and helps marginalized sections to move up the social ladder. A comparison analysis reveals that while India has a legally guaranteed proactive reservation policy, the United States has a passive strategy that is open to judicial review and capricious enforcement. Both systems have their flaws, yet India's has been more effective in narrowing the socio-economic gaps. The analysis shows that India's reservation system fills the gaps of social mobility and historical injustices more efficiently than other systems. While other countries including the US have some issues, they could learn a great deal from India regarding socially just legislation. It can gain insights from India's unique way of formulating socially equitable legislation. The United States might incorporate certain features of India's approach to implement more definitive changes in providing greater equity to racial minorities. This research contributes toward social justice issues by evaluating different mechanisms and their effectiveness in reducing systematic discrimination.

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social justice system

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The study explores the impact of behavioural targeting on users trust and attitude towards digital advertising in Coimbatore city. Digital advertising engagement and advertisements are increasing and is based on users' behaviour, which has become a strategic tool for businesses. But these practices raise critical concerns regarding data privacy and user consent. This research aims to know and understand whether personalized advertising enhances users experience or leads to rejection and distrust. The survey was conducted among 110 respondents using a structured questionnaire. Most of them were young adults who use internet frequently. The analysis revealed mixed responses, personalized ads were seen engaging and relevant but concerns over data misuse and lack of transparency were prominent. Users demanded higher data transparency and ethical practices. The findings indicate a balance between effective personalization and maintaining user trust. The study highlights the need for clear privacy policies and user empowerment in digital interactions. It provides strategic insights for advertisers to refine behavioural targeting practices responsibly.

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 Keywords

Behavioural targeting, Digital Advertising, User Trust and Attitude, Personalized Ads, Data Privacy, Consent, Transparency, Ethical Advertising.

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This project aims to design and develop an electric vehicle (EV) loader tailored for industrial and commercial loading applications. As industries shift towards eco-friendly practices, there is an increasing demand for sustainable equipment that can handle heavy loads efficiently while reducing environmental impact. This electric loader is engineered to provide high torque and power output for lifting and transporting materials within warehouses, construction sites, and distribution centers. By incorporating advanced battery technology and energy-efficient motors, the loader ensures extended operational time and minimal emissions. The project encompasses the design, simulation, and testing of the EV loader prototype, focusing on load capacity, safety, energy management, and ease of operation to support sustainable, high performance material handling solutions. The development of an electric vehicle (EV) loader equipped with a hydraulic lift is an innovative approach to enhancing the efficiency, sustainability, and adaptability of loading and material handling operations. This design integrates an electric-powered loader with a hydraulic lifting system, providing an eco-friendly alternative. The electric vehicle loader is powered by a battery pack, reducing greenhouse gas emissions and reliance on fossil fuels, which aligns with global sustainability goals. The hydraulic lift system allows for precise and robust handling of materials, with the capability to lift heavy loads smoothly and safely. The primary features include a rechargeable battery system, which provides a clean and silent operational environment, and advanced hydraulics for load stability and control. This setup also incorporates energy saving measures, such as regenerative brake which returns energy to the battery during load descent. The EV loader with hydraulic lift offers applications in diverse fields, including construction, warehousing, and manufacturing.

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 Keywords

Agricultural utility vehicle, Industrial Mobility, hydraulic lift system

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Creative Commons Attribution 4.0 and The Open Definition

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The rapid advancement of Artificial Intelligence (AI) has transformed the e-commerce landscape, enabling companies like Amazon to deliver personalized and efficient customer experiences. This study focuses on the AI tools employed by Amazon to attract and retain customers, with a special emphasis on consumer behavior in Tirupur City. The research explores various AI applications such as recommendation systems, chatbots, dynamic pricing, and customer segmentation, analyzing their effectiveness in enhancing customer engagement and satisfaction. Through surveys and data analysis, the study reveals the growing influence of AI-driven strategies in shaping purchasing decisions and fostering brand loyalty. The findings offer valuable insights for businesses seeking to leverage AI in localized markets to improve customer acquisition and retention strategies.

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 Keywords

Amazon, Artificial Intelligence, Customer Attraction, E-commerce, Tirupur City, AI Tools, Recommendation Systems, Customer Engagement, Chatbots, Dynamic Pricing, Customer Retention.

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 Abstract

Fishing in India and all over the world is a major industry in its coastal states, employing more than 14 million people. It is one of the hazardous occupations with many problems such as high operational cost, lack of landing facilities, scarcity and availability of kerosene, less price for fish, lack of transport facility, technological change etc. The techniques for catching fish include hand gathering, spearing, netting and trapping, all this is done manually. To reduce human intervention in fishing we came up with our idea of " Automatic Trawling System For Fisherman". This device will replace the ordinary method of catching fish mainly reducing human workload and risk caused by this. The device is a structure with a carrier attached beneath and goes deep into the ocean to recognize different types of fish and traps them in a special carrier. It automatically records the path by different technology, where it could find more fish. This predetermined data is used for catching fish every day.

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Trawling System, Fisherman

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 Abstract

In recent years, the need for real-time fire detection and early warning systems has become increasingly critical due to rising concerns about fire hazards in homes, offices, and industries. This project presents a smart flame detection system built using the ESP8266 microcontroller integrated with a flame sensor, buzzer, and the Blynk IoT platform. The system is designed to detect the presence of fire and immediately alert users through real-time notifications via the Blynk mobile app and email alerts. When the flame sensor detects a fire (i.e., infrared radiation from a flame), the ESP8266 triggers an alarm by activating a buzzer and simultaneously sends a push notification and email using the Blynk cloud service. The use of Wi-Fi-enabled microcontrollers ensures seamless communication and remote monitoring capabilities. The system is lightweight, cost-effective, and easy to deploy in various environments. This project showcases the practical application of IoT in enhancing safety and demonstrates how combining hardware sensors with cloud-based platforms can provide scalable and responsive emergency alert systems.

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Flame Sensor, ESP8266, Blynk IoT, Fire Detection, IoT Alert System, Smart Safety System, Real-time Monitoring

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This study titled "A Study on the Impact of Corporate Social Responsibility on Customer Satisfaction - with Special Reference to Shanthi Social Services" explores how CSR initiatives influence customer satisfaction in a socially driven organization. In an era where ethical and community-focused business practices are increasingly valued, this research investigates the effectiveness of CSR in fostering trust and loyalty among customers. The study is descriptive in nature and was conducted using a convenience sampling technique, with data collected from 120 respondents in the Coimbatore District. Primary data was gathered through a structured questionnaire, while secondary data was obtained from books, journals, and official websites. The statistical tools used for analysis include Simple Percentage Analysis, Likert Scale Analysis, Ranking Analysis, and Frequency Analysis, ensuring a comprehensive interpretation of the findings. The organization under study, Shanthi Social Services (SSS), is a charitable trust known for its impactful initiatives in healthcare, education, and community welfare. The research highlights a positive correlation between CSR practices and customer satisfaction, concluding that ethical initiatives significantly enhance public perception, service loyalty, and social impact.

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Corporate Social Responsibility (CSR), Shanthi Social Service (SSS)

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 Abstract

Abstract The literature analysis investigates multiple changes in sharing economy business operations including sustainability practices and digital transformation during the time span from 2002 up to the present year. Through its economic structure the sharing economy facilitates optimal utilization of unused resources for communal use between people who together create many industrial green innovations. Studies of revenue-advertising compromise through user satisfaction across Quora and Zhihu type systems represent primary sections within this research literature. The research examines client-to-client (C2C) transactions which fulfil two functions within the market by controlling new product requirements while resolving issues regarding fake merchandise exchanges. Scientific publications about this topic come from regions throughout the world including Asia and both Europe and the USA. Seattle achieved decreased costs by 22% through the implementation of its Via to Transit program with on-demand mobility solutions. The advancement of algorithmic technologies has enabled better optimization of power markets and group purchases and role-fixed sharing trust mechanisms. Through platforms that share second-hand furniture people can experience how reuse models decrease environmental impact in a circular economy framework. The research demonstrates that sharing economy initiatives deliver three principal benefits for industries through economical operations and optimized resources and satisfied customers. British transport, energy and mobility service case studies substantiate the financial advantages of model sharing within public transportation and energy systems and demand-responsive services. The research enhances operations research and supply chain management and energy systems through the application of game theory as well as evolutionary trust games and hybrid algorithms. As a contribution to society the findings support eco-friendly purchases together with decreased environmental impact and area-based decarbonization efforts that match targets for worldwide sustainability. The research moves ahead to investigate processes enabling large-scale green-sharing operations and how policy adjustments affect trust relationships and techniques for extended user participation. The sharing economy contributes as a revolutionary tool for resolving cross-disciplinary worldwide complications while it supports sustainable academic, industrial and socio-economic progress.

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 Keywords

Keywords: Sharing economy, sustainability, C2C transactions, circular economy, green consumption, algorithmic optimization, interdisciplinary research, digital platforms, reuse models.

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 Abstract

Credit cards have emerged as a ubiquitous feature of everyday financial transactions, followed by convenience, security, and flexibility in consumer consumption. The present study attempts to analyze the influence of credit card usage on consumer spending patterns in Coimbatore city. The most important areas covered are demographic variables, attitude towards risk in finance, impulse buying tendency, and payment behaviour. The results concur that credit card usage has a strong influence on consumption patterns and money handling in support of good credit behaviour and financial knowledge.

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 Keywords

Credit Card, Spending Behaviour, Financial Awareness, Impulsive Buying, Consumer Discipline.

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The development of organized retail in India, specifically in dynamic commercial capitals like Tirupur, has raised the demand for technologies like Customer Relationship Management (CRM). This study analysis the effectiveness of CRM practices in selected organized retail store within Tirupur District and evaluates how these systems affect factors like customer retention, increased sales and improved business performance. It employs descriptive research approach and it is based on both primary (collected from 75 organized retailers through structured questionnaire) and secondary data (books and journals). Through tools like percentage analysis, Likert scale evaluation and ranking correlation the findings show that CRM does make a meaningful difference in customer satisfaction and overall business performance. It also aligns with Indian SDGs, like Decent work and economic growth (SDG8), Industry, Innovation and Infrastructure (SDG9) and Sustainable cities and communities (SDG11).

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 Keywords

Customer Relationship Management (CRM), Organized Retail stores

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Among all the childhood diseases, hematological and hereditary diseases are most life-threatening diseases which affects during early life period. Problem of Haemoglobinopathy in India was first described by Professor J.B. Chatterjee who initiated thalassemia diagnosis and research work in West Bengal in 1959. Thalassemia is a chronic disease starting in childhood. Therefore, mothers have a critical role in caring for these children. Many studies emphasize that mothers have a more active role in caring for a child with a chronic illness. These mothers have several roles like caring for the child during continuous blood transfusions and iron chelation therapy, caring for the child in frequent hospitalizations, caring for the child with different thalassemia abnormalities, and following up different child tests.

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A STUDY TO EVALUATE THE EFFECTIVENESS OF STRUCTURED TEACHING PROGRAMME ON KNOWLEDGE AND BELIEF REGARDING THALASSEMIA AMONG CARE GIVERS OF THALASSEMIC CHILDREN IN SELECTED PEDIATRIC HOSPITALS AT BANGALORE.

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This study explores the growth potential of Meera Coconut Oil in the competitive FMCG landscape of Chennai. With coconut oil being a staple in South Indian households, the research aims to understand consumer preferences, usage patterns, brand perceptions, and purchase behavior related to coconut oil, with a specific focus on Meera Coconut Oil. A structured questionnaire was administered to a diverse group of respondents, capturing insights across demographics, income levels, occupational backgrounds, and consumer attitudes. Key findings reveal that the majority of users are young, female, educated, and price-sensitive. Parachute leads as the most preferred brand, but Meera Coconut Oil holds considerable promise due to its perceived purity, affordability, and suitability for both hair care and cooking.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Growth potential, Brand preference, Marketing strategies, Product perception, Brand Awareness.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The agricultural sector often faces significant inefficiencies due to the dominance of traditional market structures where intermediaries play a major role. This reliance on middlemen frequently results in reduced earnings for farmers and increased costs for consumers, creating a disconnect in the supply chain. To address these challenges, a web-based application for direct market access for farmers aims to provide a digital platform that connects farmers directly with buyers, including wholesalers, retailers, and individual consumers. By removing intermediaries, the application ensures fair pricing for agricultural produce, increases farmers' profits, and offers buyers access to fresh, high-quality products at competitive rates. This web-based solution functions as a comprehensive marketplace where farmers can register, create profiles, and list their produce, complete with details such as quantity, price, and expected availability. Buyers, in turn, can browse through these listings, make price comparisons, and place orders directly with farmers. The platform emphasizes transparency and simplicity, fostering trust and encouraging direct trade between farmers and buyers. By streamlining this interaction, the application not only benefits farmers economically but also empowers buyers to make more informed purchasing decisions. To enhance its functionality and provide a seamless experience, the platform integrates a range of features designed to optimize the supply chain. Farmers can update their product listings in real time, ensuring buyers always have access to the latest information. Secure payment mechanisms allow transactions to be processed efficiently, while integrated logistics support ensures timely and cost-effective transportation of goods. The platform also offers market analytics and demand forecasting, enabling farmers to align their production and sales strategies with market trends. Through these tools, farmers can make data-driven decisions that maximize their profitability while minimizing waste. In addition, the application incorporates support services to aid users, such as instructional resources, responsive customer service, and community forums that promote knowledge sharing and collaboration. By leveraging modern web technologies, the platform not only addresses inefficiencies in the agricultural value chain but also fosters sustainable practices. This innovation strengthens the economic resilience of farmers, supports local food systems, and contributes to food security and rural development, ultimately transforming the agricultural landscape into a more equitable and efficient ecosystem.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Web application, Agriculture market, Direct users interaction

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Creative Commons Attribution 4.0 and The Open Definition

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This Study explores the impact of AI-driven strategies on sustainable social media marketing and their influence on consumer purchase behavior. Business enterprises continue increasing investment in artificial intelligence for achieving personalized, interactive, and relevant campaigns since the digital dynamics keep evolving. The paper discusses the role of AI technologies, for instance, machine learning and natural language processing, integrated in social media. This explores how such advanced analytical tools may be helpful to marketers in gaining better insights on consumer preferences, predicting purchase behavior, and optimizing the content delivery. The role of AI-powered chatbots, sentiment analysis, and recommendation systems are also further explored with respect to how they contribute to the interaction of the consumer and their purchase behavior. Furthermore, the research examines sustainable social media marketing with regards to long-term value generation, environmental awareness, and social responsibility. It shows how AI-based strategies may make for more sustainable, responsible, and socially responsive social media marketing, thereby gaining a niche for themselves with socially conscious consumers. The present paper seeks to shed light on some synergies between AI-driven strategies and sustainable social media marketing in an attempt to unlock them for marketers, businesses, and researchers alike in order to chart the fluid digital terrain for effective consumer engagement in the service of meaningful, responsible, and impactful activities.

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 Keywords

o AI-driven o Sustainable o Social media marketing o Consumer purchase behavior o Personalization

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Creative Commons Attribution 4.0 and The Open Definition