Volume 13 | Issue 2 |

 Abstract

Abstract: The Indian Fast Moving Consumer Goods (FMCG) industry has emerged as one of the fastest-growing sectors in the country, driven by increasing demand for packaged consumer goods, rising incomes, and changing lifestyles. This paper provides an overview of the Indian FMCG industry, highlighting its current trends, challenges, and opportunities. The industry has witnessed significant growth in recent years, with the rural market emerging as a key driver of growth. The paper analyzes the key segments within the industry, including food and beverages, personal care, and household care. It also examines the competitive landscape of the industry, including the key players and their market share. Despite the growth prospects, the industry faces several challenges, including intense competition, regulatory challenges, and supply chain disruptions. The paper discusses these challenges and highlights the opportunities for growth and innovation within the industry. The study is based on a comprehensive review of existing literature, industry reports, and data from reputable sources. The findings of the study provide valuable insights for businesses, policymakers, and researchers interested in the Indian FMCG industry.

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 Keywords

Keywords: FMCG; Challenges and Opportunities, Supply Chain Management, Regulatory Framework, Policymakers

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Investment plays a vital role in economic growth, offering individuals diverse opportunities to accumulate wealth and secure financial stability. This study examines investor perception towards various investment avenues in Coimbatore, a growing industrial and financial hub in Tamil Nadu, India. The research aims to identify the factors influencing investment decisions, including risk tolerance, financial goals, and socio-economic conditions. Using a descriptive and quantitative approach, data was collected through structured surveys employing a snowball sampling technique. The study analyzes investment preferences among Coimbatore investors, comparing traditional options like fixed deposits and real estate with modern avenues such as mutual funds, stocks, and cryptocurrencies. Statistical tools like chi-square tests, ranking analysis, and correlation analysis were used to derive insights from the collected data. The findings provide valuable information for financial institutions, policymakers, and investors, helping them understand regional investment trends and develop strategies to enhance financial literacy and decision-making. The study also highlights barriers investors face, such as limited market awareness and access to reliable investment information.

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Investment avenues, risk tolerance, financial decision-making, financial literacy, investment behavior, market awareness, financial institutions, investment preferences.

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Coimbatore, a major industrial and commercial centre in India, is experiencing a surge in electric vehicle (EV) interest. This shift is driven by environmental concerns, rising fuel costs, and government initiatives promoting EVs. However, a significant barrier to widespread EV adoption remains: the limited availability of conveniently located charging stations. This study tackles this challenge by proposing a strategic plan for expanding Coimbatore's EV charging network. The main objective is to find out the the Current Distribution of EV Charging Stations. and another one is to evaluate charging needs, analyse travel patterns, identify frequented locations, and understand preferences for charging speeds and payment methods, to evaluate infrastructure quality and charging efficiency and to forecast future charging infrastructure needs .The data was analyzed by using appropriate statistical tools by SPSS and conclusions drawn. The data's are collected from the respondents are converted into readable form to the process of classification and arrangements. The sample size is 150. The data was tabulated and analyzed using simple statistical method like simple Percentage analysis, Chi-square test and weighted average with ranking are used as the statistical tool for analysis.

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EV charging infrastructure, analyzing the number, types, and distribution of stations while considering factors like EV ownership trends, traffic patterns, and residential clusters

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This study explores the awareness, perception, and influence of KFC's green practices among young consumers in Coimbatore, with a focus on assessing how these practices impact their brand perception and purchasing decisions. The research aims to analyze the influence of demographic factors such as age, gender, and education level on the awareness and acceptance of KFC's sustainability initiatives. A structured questionnaire was administered to 200 respondents aged 18-30, with data collected through stratified random sampling from urban and semi-urban locations. The study employed statistical tools, including Chi-square tests, regression analysis, and one-way ANOVA, to evaluate the relationships between demographic characteristics, communication strategies, and consumer behavior. The results indicate that there is no significant association between age, gender, or education level and the awareness or perception of KFC's green practices. However, the study reveals a strong positive correlation between KFC's communication of its green practices and the respondents' perceptions of the brand, with a significant impact on brand opinion. Additionally, education levels were found not to significantly influence purchasing decisions based on environmental practices. The findings suggest that KFC should focus on improving its communication strategies, particularly targeting younger consumers via social media platforms, and continue to enhance its sustainability practices. This research provides valuable insights into how KFC can strengthen its brand image and appeal to the eco-conscious youth demographic.

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 Keywords

KFC, Green Practices, Sustainability, Brand Perception, Young Consumers, Coimbatore, Demographic Factors, Communication Strategies, Purchasing Behavior, Environmental Practices.

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This study examines the serve and smash speeds of male and female university volleyball players to develop a balanced mixed-gender volleyball model. Using data collected from 29 players (15 males and 14 females), to check significance of difference in the serve and smash speed in both genders, the t-test has applied. The results reveal significant differences in smash speeds but not in serve speeds. This paper discusses implications for mixed-gender team formation and game design.

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Keywords: Volleyball, Gender Differences, Serve Speed, Smash Speed, Mixed-Gender Model, T-Test

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The refugee crisis in South Asia remains one of the most pressing humanitarian challenges, driven by ethnic conflicts, religious persecution, political instability, and climate change. Countries such as Bangladesh, Pakistan, and India have been primary destinations for displaced populations, including the Rohingya from Myanmar, Afghan refugees, Tamil refugees from Sri Lanka, and Tibetan exiles. Despite hosting millions of refugees, South Asian nations lack a unified legal framework to address the crisis, as none are signatories to the 1951 UN Refugee Convention. This article explores the historical and contemporary refugee movements in the region, the challenges faced by host countries, and the role of international organizations in managing displacement. It also examines the impact of statelessness, environmental displacement, and policy shortcomings on refugee protection. Given the geopolitical complexities, a regional approach is necessary to ensure sustainable solutions. Strengthening legal frameworks, fostering regional cooperation, and addressing the root causes of displacement are critical for resolving the refugee crisis. The article calls for a balanced approach that upholds humanitarian obligations while considering national security and economic constraints.

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 Keywords

South Asia, Refugee Crisis, Displacement, Regional Cooperation, Forced Migration.

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Quantum cryptography leverages the principles of quantum mechanics to ensure secure communication and data protection. This paper provides a comprehensive analysis of recent advancements in Quantum Key Distribution (QKD) protocols, their implementation challenges, and security considerations. We explore novel approaches to quantum-resistant cryptography and discuss the integration of quantum cryptography with classical systems. The paper concludes by highlighting future research directions and potential real-world applications.

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Quantum Cryptography, Quantum Key Distribution (QKD), Post-Quantum Cryptography, BB84 Protocol, Security Models, Entanglement.

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This paper explores the critical comparison between gender bias and gender neutrality in the corporate sector, examining their profound implications on organizational practices and employee outcomes. It begins by analyzing the shaping of gender stereotypes, particularly in the context of India, where traditional gender roles influence career trajectories and workplace experiences. Gender stereotyping in India is discussed, highlighting how societal norms create disparities in opportunities, roles, and expectations. The paper further investigates gender differences at the workplace, including the impact of these differences on occupational stress and career progression, particularly for women in male-dominated sectors. Key barriers in Human Resource processes, such as biased recruitment practices and challenges in breaking the glass ceiling, are addressed, showing how structural and cultural factors perpetuate gender inequality. The paper also examines the psychological effects of gendered expectations, focusing on stress differences and coping mechanisms. The benefits of gender neutrality in the workplace, such as improved employee satisfaction, higher productivity, and a more inclusive organizational culture, are emphasized. Global and Indian best practices in promoting gender-neutral policies, including mentorship programs, flexible work arrangements, and transparent promotion criteria, are presented. Finally, the paper provides recommendations for fostering gender neutrality in corporate practices, advocating for a holistic approach to policy changes, leadership training, and organizational culture shifts to ensure long-term equity and success in the corporate sector. The findings underscore the importance of gender-conscious leadership in shaping a fair and supportive workplace culture.

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Gender differences, occupational stress, corporate sector, workplace biases, gender neutrality, glass ceiling, coping strategies

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Herbal skin care products have gained significant popularity due to their potential benefits in promoting nourishing skin and preventing skin-related problems. This abstract presents the formulation of a novel herbal face cream utilizing the extract of Rambutan and Orange peel. Rambutan and Orange peel have long been recognized for their therapeutic properties, including their ability to nourish and moisturize the skin and enhance health. In this study, the extract of Rambutan peel and Orange peel was incorporated into a synergistic face cream formulation, aiming at their combined beneficial effect and also used to treat acne vulgaris. The formulation process involves the extraction of active constituents from Rambutan peel and Orange peel using an ethanolic solvent system. Through qualitative analysis, the extract was then standardized for key phytochemical compounds such as carbohydrates, proteins, tannins, and flavonoids. These compounds are known to process antimicrobial and moisturizing properties. The standardized extracts were incorporated into a suitable base cream, ensuring proper emulsification and stability. The final product was evaluated for its phytochemical properties, to ensure its stability as a face cream. Preliminary results demonstrated promising skin-related benefits associated with formulated herbal cream. It exhibits considerable potential in promoting healthier skin and reducing dryness and acne.

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Rambutan peel, Orange peel, Herbal face cream, Anti- acne, Moisturizer, Natural ingredients.

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Creative Commons Attribution 4.0 and The Open Definition

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Quantum Machine Learning (QML) merges the capabilities of quantum computing with the methods of machine learning to address complex problems with greater efficiency. This paper explores the foundational principles of QML, recent progress in the field, and its application across diverse sectors such as optimization, natural language processing, and quantum chemistry. A comparative analysis is conducted between quantum-enhanced algorithms and their classical counterparts, with a focus on performance metrics. The challenges of implementing QML on noisy intermediate-scale quantum (NISQ) devices are also examined. The paper concludes by discussing future directions in the field, particularly in relation to the development of quantum hardware, algorithms, and software, as well as the potential transformative impact of QML in fields ranging from drug discovery to financial modeling and autonomous systems. Despite the current constraints of NISQ technology, we highlight the substantial promise that QML holds in advancing artificial intelligence and computational science.

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 Keywords

Quantum Machine Learning (QML), Quantum Algorithms, Quantum Chemistry, Optimization Problems, Noisy Intermediate-Scale Quantum (NISQ) Devices.

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Creative Commons Attribution 4.0 and The Open Definition