Authors: Mr. Uddesh Dhanraj Dongre, Prof. Mithlesh Pandey

Abstract: Solar thermal collectors are widely used for converting solar energy into useful thermal energy for domestic and industrial applications. Conventional collectors suffer from energy loss during cloudy weather and nighttime due to the absence of efficient thermal storage systems. To overcome this limitation, Phase Change Materials (PCM) are integrated into solar thermal collectors. PCM absorbs excess heat during sunshine hours and releases stored thermal energy during low solar radiation conditions. This research focuses on the design and optimization of a solar thermal collector integrated with PCM. Paraffin wax is selected as PCM because of its high latent heat capacity, thermal stability, chemical inertness, non-corrosive nature, and suitable melting temperature range. The performance of the collector is evaluated based on thermal storage capability, charging and discharging characteristics, outlet water temperature, heat retention, and efficiency improvement. The study shows that PCM integration significantly improves thermal efficiency and maintains outlet temperature for longer duration compared to conventional collectors. The optimized collector demonstrates enhanced energy utilization, reduced temperature fluctuation, and better thermal stability. The proposed system is suitable for domestic water heating, industrial thermal applications, agricultural drying systems, and renewable energy storage applications.

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Authors: Salama Juma Shehe, Dr. Sahil Nazir

Abstract: This study examined the impact of social media marketing on consumer buying behavior. The rapid growth of digital technology and social networking platforms has transformed the way businesses communicate with customers and promote their products and services. The main objective of the study was to analyze how social media marketing influences consumer purchasing decisions. Specifically, the study examined the role of social media advertisements, online reviews, influencer marketing, and promotional content in shaping consumer buying behavior. The study employed a quantitative research design using a survey method. Data were collected through an online questionnaire created using Google Forms and distributed through social media platforms. A total of sample size 100 respondents participated in the study. The collected data were analyzed using descriptive statistics, including frequencies and percentages, and presented using tables and charts. The findings indicated that social media marketing significantly influences consumer buying behavior. The results showed that most consumers rely on social media platforms to obtain information about products, read reviews, and compare alternatives before making purchase decisions. The study concludes that social media marketing plays a critical role in influencing modern consumer purchasing behavior. Businesses should therefore invest in effective social media marketing strategies to improve brand visibility, customer engagement, and sales performance. The study recommends that companies should enhance their social media presence, collaborate with influencers, and provide reliable and engaging content to attract and retain customers.

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Authors: Prachi Barnwal, Dr Navneet Seth

Abstract: Training and development policies play a crucial role in improving employee competence, organizational productivity, and overall business performance. In the modern competitive environment, organizations increasingly invest in employee training programs to enhance technical skills, communication abilities, leadership qualities, and job efficiency. The present study examines the impact of training and development policies on employee competence using a data-oriented approach. The study is based on secondary data collected from research journals, HR reports, and organizational studies. The findings reveal that effective training policies significantly improve employee skills, motivation, productivity, and job satisfaction. The study concludes that organizations with strong training and development practices achieve higher employee performance and organizational effectiveness.

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Authors: Mandeep Kaur, Dr joe Christy N

Abstract: The rapid growth of social media platforms has transformed consumer buying behavior, with YouTube emerging as one of the most influential digital marketing channels. This research paper examines the impact of YouTube on consumer purchase decisions through a data-oriented approach. The study analyzes how YouTube advertisements, influencer marketing, product reviews, unboxing videos, and user-generated content affect consumer awareness, purchase intention, and actual buying behavior. Secondary data from recent empirical studies and industry reports are used to evaluate consumer responses toward YouTube-based marketing strategies. The findings reveal that YouTube significantly influences consumer decision-making, particularly among younger audiences such as Generation Z and Millennials. Factors such as content credibility, emotional engagement, influencer trustworthiness, and video quality positively affect purchase intentions. The study concludes that YouTube has become a powerful tool for marketers in shaping consumer attitudes and driving purchasing decisions.

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Authors: Jatinder Singh, Manisha Kalra

Abstract: – Microfinance has emerged as an important financial instrument for reducing poverty, promoting self-employment, and improving the socio-economic conditions of low-income households. The concept of microfinance involves providing small loans, savings facilities, insurance, and other financial services to economically weaker sections who are generally excluded from the formal banking sector. This research paper examines the role of microfinance in poverty reduction by analyzing its impact on income generation, employment opportunities, women empowerment, and rural development. The study also highlights the challenges faced by microfinance institutions (MFIs) and suggests measures for improving their effectiveness. The paper concludes that microfinance plays a significant role in poverty alleviation when combined with proper training, financial literacy, and government support.

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Authors: Jyotish Kumar, Dr. Meentu Grover

Abstract: India's mobile economy is no longer a future promise — it is today's commercial reality. This study examines the impact of mobile marketing on consumer engagement with empirical evidence drawn from 150 respondents across Punjab, India. Adopting a descriptive-analytical research design and administering structured questionnaires, the study investigates how SMS campaigns, social media advertisements, push notifications, mobile applications, and influencer marketing shape consumer purchase intentions, brand loyalty, and overall satisfaction. Statistical techniques including descriptive analysis, correlation, regression, and chi-square testing were employed to interrogate the data. Results confirm that mobile marketing exerts a statistically significant positive effect on consumer engagement (β = 0.61, p < 0.001), with social media marketing and personalized notifications emerging as the strongest predictors. Brand trust and perceived usefulness were identified as critical mediating constructs. These findings carry decisive implications for digital marketers, policy designers, and scholars navigating India's fast-evolving mobile-first marketplace.

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Authors: K.Ravindhar, P.KamalaKar, Dr.Diana Moses

Abstract: This analysis examines a restaurant chain sales dataset covering transaction recorded across November and December 2022, spanning five major European cities — London, Lisbon, Madrid, Berlin, and Paris. The dataset capture nine key attributes including Order ID, Date, Product, Price, Quantity, Purchase Type, Payment Method, Manager, and City, forming a structured foundation for evaluating multi-dimensional sales performance. Burger emerge as the highest revenue-generating product, followed by Fries and Chicken Sandwiche, while Sides & Other contributes the least to overall revenue. Geographically, Lisbon leads in both total revenue and quantity sold, closely followed by London, whereas Berlin and Paris record comparatively lower performance. Purchase behavior analysis reveals that Online transaction are the most frequently used channel, followed by Instore and Drive thru. In terms of payment preferences, Credit Card dominates as the most widely adopted method, ahead of Cash and Gift Card usage. These finding highlight key revenue regional performance disparities, and customer purchasing preferences, offering a data-driven foundation for improving inventory planning, targeted marketing strategies, and overall operational decision-making.

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Authors: Taranveer Singh, Manisha Kalra

Abstract: Consumer buying behaviour refers to the process through which individuals select, purchase, use, and dispose of goods and services to satisfy their needs and wants. Understanding consumer behaviour is essential for businesses to design effective marketing strategies and achieve customer satisfaction. This research paper examines the major factors influencing consumer buying behaviour, including cultural, social, personal, and psychological factors. The study also highlights the stages involved in the consumer decision-making process and the impact of digital marketing on purchasing decisions. The paper concludes that changing lifestyles, technological advancements, and increased access to information have significantly transformed consumer buying patterns in modern markets.

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Authors: Neha Asthana

Abstract: The rapid evolution of modern software engineering practices has intensified the demand for faster development cycles, higher code quality, and improved operational efficiency. Traditional code review processes, while essential for maintaining software reliability and security, frequently create development bottlenecks due to the extensive manual effort required to validate syntax, formatting, and compliance with coding standards. This article presents a practical implementation framework for streamlining code review operations through the adoption of artificial intelligence (AI)-assisted analysis integrated within DevOps workflows. The initiative focused on incorporating AI-assisted review capabilities into existing Git-based pull-request and continuous integration pipelines to automate repetitive review activities and accelerate validation processes. By enabling automated identification of syntax inconsistencies, formatting deviations, boilerplate inefficiencies, and commonly recurring coding issues, the framework allowed software reviewers to prioritize higher-value technical concerns including architectural integrity, security vulnerabilities, scalability, and business logic validation. The implementation demonstrated measurable operational improvements, including an approximate 30% reduction in pull-request review time and a 35% decrease in post-review rework across development teams. The study further examines the technical and organizational challenges associated with integrating AI into enterprise software development practices. One major challenge involved the generation of inconsistent or contextually irrelevant AI recommendations that occasionally conflicted with project-specific coding patterns and domain-specific business requirements. This limitation was addressed through iterative prompt refinement, enforcement of internal engineering standards, and selective application of AI to repetitive development tasks such as validation routines and boilerplate generation. Security and code quality concerns also emerged due to the potential introduction of insecure coding patterns or software anti-patterns through AI-generated suggestions. To mitigate these risks, the framework incorporated layered governance mechanisms including static code analysis, automated security scanning, peer validation procedures, and mandatory human review for sensitive components. An additional barrier to adoption stemmed from initial developer skepticism regarding the reliability and contextual awareness of AI-generated outputs. Adoption rates improved significantly after repositioning AI as an assistive pre-review mechanism rather than a replacement for human expertise. Continuous peer validation, governance-based coding standards, and collaborative review practices contributed to increased organizational trust and broader engineering acceptance.

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Authors: Swapnil Pradip Jadhav

Abstract: – The rapid proliferation of electric vehicles (EVs) has created an urgent need for scalable, accessible, and real-time charging infrastructure discovery systems. This paper presents the design, development, and evaluation of a web-based EV Charging Locator System that enables EV users to identify, navigate to, and interact with nearby charging stations using geolocation services, interactive mapping, and a responsive user interface. The proposed system addresses the critical gap of fragmented charging network information by consolidating multi-network station data on a single unified platform. The system is built using modern web technologies including HTML5, CSS3, JavaScript (ES6+), and integrates third-party APIs such as Google Maps and Open Charge Map. A user-friendly dashboard, smart filtering, and station management module empower both EV users and charging station administrators. Experimental evaluation demonstrates reduced search time, improved navigation accuracy, and enhanced user experience compared to existing solutions. The system contributes significantly to smart city goals and the green energy transition.

DOI: https://doi.org/10.5281/zenodo.20205640

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