Volume 13 | Issue 6

 Abstract

This study explores the Quality of Work Life (QWL) among assemblers at Butterfly Gandhimathi Appliances Limited, Pudupakkam. Using data from 169 respondents, the study identifies key satisfaction factors and their influence on assembler performance. Statistical tools like Chi-square test, Karl Pearson's correlation, and percentage analysis were employed. The results highlight workplace environment, job security, and supervisor fairness as strong influencers of QWL, while dissatisfaction with compensation remains a key concern. Recommendations are provided to enhance QWL through improved compensation and grievance redressal mechanisms.

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 Keywords

Quality of Work Life, Assembler Satisfaction, Employee Performance, Compensation, Workplace Environment

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This study analyses the financial performance and capital structure of Diamond Engineering (Chennai) Private Limited over a five-year period, using key accounting ratios and statistical tools. The objective was to evaluate how the company's financing decisions have affected its profitability and financial stability. Ratios such as current ratio, quick ratio, debt-equity ratio, net profit margin, return on equity (ROE), and return on assets (ROA) were examined to assess liquidity, solvency, and profitability. Additionally, statistical methods like correlation and regression were used to study the relationship between EBIT (earnings before interest and taxes) and EPS (earnings per share). The findings reveal that while the company initially struggled with high debt and negative equity, it has shown significant improvement in recent years, especially in terms of profitability and capital structure. Correlation and regression used to identify the relationship between capital structure and profitability. The study concludes that sound financial planning and effective debt management are essential for the company's sustainable growth and value creation.

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 Keywords

capital structure, profitability, ratios, short-term, debt & equity.

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This study explores the effectiveness of employee engagement strategies at Multivista Global Private Limited. Using data collected from 137 employees, it examines engagement initiatives, welfare programs, and their impact on organizational effectiveness. Statistical tools such as Chi-square, ANOVA, and correlation analysis were employed to understand key factors influencing employee satisfaction and engagement. The findings highlight the importance of training programs, clear communication, and opportunities for career growth in fostering a positive workplace environment. Recommendations for enhancing engagement and sustaining a motivated workforce are discussed.

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 Keywords

Employee Engagement, Organizational Effectiveness, Employee Welfare, Career Growth, Statistical Analysis

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This study investigates employee benefits and wellness programs at Endo India PAR Formulations Pvt Ltd, Pudupakkam. The primary aim is to analyze employee satisfaction, participation, and effectiveness of existing wellness initiatives. Findings reveal mixed levels of satisfaction with prevalent use of health insurance and flexible working arrangements, though many employees remain neutral about wellness impacts. The study recommends strengthening communication, improving program design, and enhancing benefit accessibility to improve overall engagement and job satisfaction.

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 Keywords

Employee Benefits, Wellness Programs, Job Satisfaction, Work-Life Balance, Employee Engagement, Pharmaceutical Industry

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Emotional Intelligence (EI) is increasingly acknowledged as vital to workplace performance, especially in highly structured and demanding industries like automotive manufacturing. This study explores how various factors of EI--such as self- awareness, self-regulation, motivation, empathy, and social skills--affect employee performance at Hyundai, Chennai. The research employs descriptive methodology with data collected through structured questionnaires from 105 employees. Analytical tools like Chi-square, ANOVA, Regression, and Factor Analysis were used. Results confirm a strong positive relationship between EI and employee performance. The findings suggest implementing EI training and strategies in workforce development.

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 Keywords

Emotional Intelligence, Employee Performance, Self-regulation, Automotive Industry

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This study investigates the work-life balance experienced by female employees at Intimate Fashions (India) Pvt. Ltd., a leading apparel manufacturer. The research aims to identify the key factors influencing work-life integration, assess the support systems available, and understand how personal and professional responsibilities intersect in a predominantly female workforce. A structured questionnaire was used to collect primary data from 100 female employees, employing descriptive statistics, Chi-square tests, Correlation, and ANOVA for analysis. The study highlights the need for improved HR policies, especially around flexibility, health benefits, and workload management. Implementing targeted work-life balance initiatives can enhance employee satisfaction, reduce stress, and improve overall productivity in the organization

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 Keywords

Work-Life Balance, Female Employees, Apparel Industry, HR Policies, Flexible Work Hours

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This study aims to evaluate the cash flow performance of Steril-Gene Life Sciences over a five-year period by analysis cash inflows and outflows across operating, investing, and financing activities. Cash flow analysis provides critical insights into the company's liquidity position, financial stability, and overall operational efficiency--especially vital in the intensive pharmaceutical industry. The research utilizes ratio analysis, comparative balance sheets, and correlation testing to interpret financial trends and interdependencies between key indicators such as current ratio, quick ratio, debt-equity ratio, and net profit. Findings reveal a declining trend in liquidity ratios, suggesting short term financial strain, despite a significant improvement in capital structure as reflected by the steady decrease in the debt-equity and debt-to-asset ratios. The company's net profit ratio displayed high volatility, pointing to inconsistent earnings performance. Notably, a strong and statistically significant positive correlation was found between the current ratio and debt-equity ratio, indicating a link between liquidity improvement and equity infusion.

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Financial Performance, Comparative Balance Sheet, Ratio Analysis, Correlation Analysis

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The goal of this study is to investigate and analyze the implementation of Agile Human Resource Management (Agile HRM) practices and their impact on organizational performance at VHS Multispeciality Hospital. The study focuses on understanding how Agile HRM contributes to enhancing employee engagement, adaptability, collaboration, and operational efficiency within a healthcare setting. Key areas examined include the use of HR technology, flexibility in HR processes, employee feedback mechanisms, and training on Agile methodologies. The research design is descriptive in nature. Primary data was collected through a structured questionnaire from 100 hospital employees across different departments and demographics. Secondary data was sourced from journals, organizational documents, and internet- based literature. Simple random sampling was employed to ensure unbiased representation. Statistical tools such as Percentage Analysis, Chi- square, Correlation, and ANOVA were used to interpret the data. This study helps the hospital understand current gaps in Agile HRM adoption and provides insights to align HR practices with modern Agile principles. Implementing the recommended changes can lead to increased staff satisfaction, improved performance, and ultimately better healthcare delivery and organizational growth.

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 Keywords

Agile HRM, Organizational Performance, Healthcare, Employee Engagement, Human Resource Practices.

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This study examines how employee motivation affects performance at Rialto Enterprises Pvt. Ltd., a toothbrush manufacturing company. Focusing on both intrinsic and extrinsic factors like rewards, salary, training, promotions, and work environment, the research used a descriptive design and surveyed 110 employees through structured questionnaires. Statistical tools such as correlation, ANOVA, regression, and factor analysis revealed a strong positive link between motivation and performance. Motivated employees showed better time management, teamwork, and commitment, while poor communication and lack of recognition reduced motivation. The study concludes that effective motivational strategies are key to enhancing both individual and organizational performance.

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Employee Motivation, Employee Performance, Intrinsic Motivation, Extrinsic Motivation, Job Satisfaction, Productivity.

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The study focuses on understanding the quality of work life (QWL) of employees at Chidambaram Fishnets Private Limited in Medavakkam, Chennai. The Primary goal is to assess overall QWL, while secondary goals include identifying influencing factors, analyzing employee satisfaction, and suggesting improvements. Using a descriptive research design, data was collected from 110 employees through questionnaires, and analyzed using percentage analysis, correlation, chi-square, and ANOVA. Results show that job stress significantly affects performance, and employees feel compensation and benefits can be improved. The study suggests that flexible work hours and better employee benefits can enhance QWL and overall employee satisfaction.

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Quality of work life, Job Satisfaction, Employee Satisfaction, Work Life Balance.

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This study explores the relationship between emotional intelligence (EI) and the quality of hospital services, focusing on Apollo Specialty Hospitals, OMR. Utilizing primary data from 160 respondents and secondary sources, it employs statistical tools such as correlation and ANOVA to analyze how nurses' emotional intelligence influences patient satisfaction and service outcomes. Results indicate that high EI among healthcare workers significantly enhances patient care, communication, and stress management. Recommendations include targeted EI training to improve service quality and employee well-being.

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 Keywords

Emotional Intelligence (EI), Quality of Hospital Services, Apollo Super Specialty Hospital, Self-Awareness, Empathy, Self-Regulation, Motivation, Social Skills

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Workplace stress has become a major concern in modern organizations, significantly affecting employee performance and overall productivity. This research focuses on Sunburgs Industries, Chennai, investigating the correlation between job-related stress and employee output. Using quantitative methods such as questionnaires and statistical tools (Chi-square, ANOVA, Correlation, Regression), the study identifies key stressors like workload, job insecurity, long working hours, and organizational pressure. The findings show that stress moderately impacts productivity and suggest that effective stress management strategies and flexible working conditions can enhance employee well-being and efficiency.

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Work stress, employee productivity, organizational pressure, workload, stress management, Sunburgs Industries.

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Workplace absenteeism, defined as the failure of employees to report to work as scheduled, poses significant challenges for organizational efficiency and employee performance. This study focuses on Generation Z (Gen Z) employees, examining the factors influencing absenteeism, its impact on individual and team performance, and strategies to mitigate its effects. Through a survey of 120 respondents at Lifestyle Pvt. Ltd. Chennai branches, key findings reveal that personal responsibilities, mental health issues, and work-related stress are primary drivers of absenteeism. This research highlights the importance of flexible work policies, mental health support, and effective leadership in addressing absenteeism and enhancing performance.

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Workplace absenteeism, Gen Z employees, employee performance, mental health, flexible work policies, organizational efficiency

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This analysis explores the performance and strategic role of large-cap, mid-cap, and small-cap mutual funds, alongside long-term equity and gold trends, to guide effective investment planning. Notable funds such as Nippon India Large Cap, Motilal Oswal Midcap, and Nippon India Small Cap exhibit strong risk-adjusted returns, as indicated by high Sharpe ratios and alpha values. Cost- efficiency, demonstrated by lower expense ratios in funds like ICICI Prudential Bluechip and HDFC Midcap Opportunities, further enhances investor gains. While large-cap funds provide stability, mid and small-cap funds offer higher growth potential, albeit with increased volatility-- necessitating alignment with individual risk profiles. Diversification, including a 10-15% allocation to gold, adds portfolio resilience due to gold's historical performance during economic crises. A disciplined strategy involving Systematic Investment Plans (SIPs), regular portfolio rebalancing, and goal-aligned investing supports sustainable wealth creation over the long term.

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Mutual Funds, Risk-adjusted Return, Sharpe Ratio, Alpha, Diversification

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The rapid advancement of Artificial Intelligence (AI) has transformed the e-commerce sector by enhancing operational efficiency, improving consumer engagement, and enabling data-driven decision-making. In this context, the present study titled *"A Study on Artificial Intelligence Applications in E-Commerce in Karnataka"* examines the role and impact of AI adoption on various aspects of e-commerce performance, with a special focus on consumer perceptions and city-wise differences. The major objective of the study is to analyze how AI applications influence operational efficiency, consumer experience, and sustainability practices in the state's e-commerce sector. The research employed a descriptive methodology, collecting primary data from 250 respondents across five cities in Karnataka (Mysore, Bangalore, Mangalore, Hassan, and Mandya) using a structured questionnaire on a five-point Likert scale. Descriptive statistics, regression analysis, and ANOVA were applied to test the hypotheses. The findings revealed that AI adoption significantly enhances efficiency (? = 0.42, p < 0.000), consumer experience (? = 0.48, p < 0.000), and sustainability (? = 0.21, p = 0.032). Further, ANOVA results indicated notable city-wise differences in adoption and satisfaction, with urban centers reporting higher acceptance and trust. The study concludes that while AI-driven personalization and recommendations strengthen consumer satisfaction, concerns regarding data security remain critical. The research holds importance as it provides actionable insights for businesses and policymakers while highlighting the scope for future research on generative AI and emerging e-commerce models.

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 Keywords

Artificial Intelligence, E-commerce, Consumer Experience, Operational Efficiency, Karnataka

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The integration of Artificial Intelligence (AI) in education has emerged as a transformative approach to enhance assessment accuracy, efficiency, and student learning outcomes. This study investigates the impact of AI on educational assessments in Karnataka, addressing the growing need to understand its effectiveness, adoption, and associated challenges within local academic institutions. The research aims to examine students' and educators' perceptions of AI-driven assessment tools, identify regional and demographic variations in acceptance, and explore ethical considerations influencing implementation. A descriptive research design was adopted, with primary data collected through a structured questionnaire administered to 150 respondents from Mysore, Bangalore, and Hassan. Data were analyzed using descriptive statistics, ANOVA, and regression analysis to identify trends, differences, and relationships between demographic factors and AI perceptions. The findings indicate that AI significantly improves assessment accuracy, reduces evaluation time, and positively influences learning outcomes, while ethical concerns and regional disparities affect adoption levels. Income and city of residence were found to significantly shape respondents' perceptions, and the null hypothesis of no significant impact of AI was rejected. The study highlights the relevance of AI in contemporary education and provides insights for institutions to implement ethical, context-sensitive, and effective AI-based assessment practices.

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Artificial Intelligence, Educational Assessment, Karnataka, Learning Outcomes, Ethical Challenges

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Evaluation of Pandit Deendayal Upadhyay's "Philosophical Thoughts - Fourth Purushartha"

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Evaluation of Pandit Deendayal Upadhyay's "Philosophical Thoughts - Fourth Purushartha"

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The purpose of the paper is to delve into the transformative role of artificial intelligence in accounting and finance. The integration of AI in accounting has altered the generation, recording and processing of data into efficient accurate way in a much shorter time frame. The paper reviews the existing literature in order to assess the implications of AI on finance sector. It further analyses the skillset required by finance professionals to work in conjunction with AI. Findings have highlighted the challenges and opportunities presented by advancements and developments in the technology. Various AI tools have been found to play pivotal role in shaping the contours of accounting and finance sector. Further research avenues have also been proposed in the current review.

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 Keywords

Artificial intelligence, accounting and finance, automation, literature review.

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Socio-cultural is a term used to define social and cultural factors which signify common traditions, beliefs and habits in a population group. Socio-cultural practices involve various forms, such as worship rites, birth, wedding and funeral rituals, traditional legal systems, etc. Additionally, there is an existence of cultural practices regarding menstruation in Indian society. Menstruation is always associated with myths and taboos, like avoiding entering the temple, not attending religious gatherings, not touching males and plants, and the like. These cultural practices hamper women's mental as well as emotional states. These socio- cultural norms regarding menstruation are more myths and less of facts, and the practices are traditionally growing with society. Women are deprived of various opportunities during menstruation and are not treated equally in society as men. That is why menstruation is unwelcome by a majority of women. Media is the most powerful entity in the world, and it can reach a broader audience through its various types such as Print Media like newspapers and magazines, Electronic Media like Television and radio, and New Media like the internet and social media. Therefore, there is no better alternative than the media to raise awareness regarding menstrual hygiene and break the myths and taboos about menstruation as much as possible. "World Menstrual Hygiene Day" is celebrated every year on 28th May worldwide to raise awareness regarding menstruation and provides safe hygiene practices to wipe out the social stigma and burst the bubble of myths and taboos in society. This paper intends to identify the extent of the roles played by different types of media to create awareness regarding menstruation and female hygiene practices during the menstruation cycle.

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Menstruation, menstruation myths, an overview of various media regarding menstruation.

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The hospitality industry's ongoing digital transformation is driving the rapid adoption of complex, multi-vendor technology ecosystems. This increasing reliance on diverse third-party systems introduces significant security, integration, and compliance challenges. Traditional DevOps practices often fall short in managing the security risks associated with these heterogeneous environments. This review proposes and evaluates a tailored DevSecOps framework specifically designed for multi-vendor hospitality technology ecosystems. Drawing on over a decade of research, case studies, and recent innovations, the paper outlines a theoretical model, experimental validation, and comparative performance metrics. Key improvements observed include faster vulnerability detection, reduced compliance violations, and enhanced operational resilience. The review concludes by identifying future research directions that focus on AI-driven security automation, policy standardization across vendors, and industry-wide collaboration. These contributions aim to guide researchers and practitioners in securing digital hospitality infrastructures through adaptive and scalable DevSecOps practices.

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DevSecOps; Multi-Vendor Ecosystems; Hospitality Technology; Cybersecurity; Security Automation; CI/CD; Compliance; Threat Intelligence; Digital Transformation; Software Security.

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