Volume 13 | Issue 3 |

 Abstract

We have been paying various taxes i.e. Direct and Indirect Taxes, which were felt as burden on us and due to taxes the corruption has been increasing. There are the response, imprecise, arguments and opinion among the manufactures, traders and society about the Goods and Services (GST), implemented by Government of India since 1st July, 2017. As the information of passing the bill of Goods and services Tax in the Rajya Sanha, it also brought India at the centre of the global economy. This thesis highlights the background, prospects, challenges, object of the GST and impact of indirect tax system in the current developments in Rajasthan states. The thesis further identifies various advantages and opportunities of GST in Rajasthan goods and Services industry and the thesis will also help to know that, what will be the impact of GST implementation on Employment Generation, GDP, Export, Imports, profit and previous tax structure in state's Goods and Services Industry. Finally the present thesis attracts the attention of the upcoming researchers towards the impact of GST on various Goods & Services in conclusion.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

BRAND, EQUITY. GST

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The corporate sector plays a vital role in addressing environmental concerns by embracing sustainable practices. Businesses are increasingly adopting green initiatives such as energy conservation, waste management, carbon footprint reduction, and eco-friendly workspaces as part of their corporate social responsibility (CSR). This study examines the extent to which companies in Chennai integrate green policies into their operations and evaluates their impact on environmental sustainability. Through a descriptive and analytical approach, primary data was collected from corporate employees and managers across various industries, including IT, manufacturing, banking, and retail. The findings reveal that employee awareness programs are the most commonly implemented green initiative, with larger corporations demonstrating a stronger commitment to sustainability. Key factors influencing green adoption include energy efficiency and waste management practices, while companies with robust environmental policies tend to experience improved financial performance. The study highlights the benefits of corporate sustainability, such as enhanced brand reputation, employee satisfaction, and long-term business growth. Encouraging corporate participation in green initiatives is crucial for fostering an environmentally responsible business ecosystem in Chennai. The research underscores the need for policy support and industry collaboration to accelerate the transition toward a greener corporate sector.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Corporate sustainability, Green initiatives, Environmental policies, Energy conservation, Waste management, Carbon footprint reduction, Eco-friendly workspaces, Corporate social responsibility (CSR), Employee awareness programs, Sustainable business practices, Financial performance, Brand reputation, Industry collaboration, Chennai corporate sector.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The study of large-scale structures in the universe is fundamental to understanding cosmic evolution. In this paper, I explore the role of massive neutrinos in structure formation, with a particular focus on Jeans mass calculations and the implications for dark matter models. Using analytical derivations and computational analysis, I examine the Jeans wave number in different relativistic regimes and discuss the significance of fluctuations in the neutrino sphere. My findings highlight the impact of neutrino mass on the growth of cosmic structures and provide insights into the mixed dark matter model.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

massive neutrinos, hot dark matter (HDM), cold dark matter (CDM), Jeans mass, large-scale structure formation, gravitational instability, structure growth, cosmic evolution

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Back-to-back built-up cold-formed channel sections made of high strength steel are becoming increasingly popular for column members in cold-formed steel structures. Standard design codes put limits on slenderness ratio for designing such sections where the slenderness of single section does not exceed half of the slenderness of the back-to-back column. This paper investigates slenderness ratios beyond this limit. ABAQUS is used to conduct parametric study involving fifty-six validated models to study the exceeded limits. The effect of fastener spacing on the axial strength of back-to-back built-up columns is investigated to exceed slenderness ratio limits. The study finds that the design according to the standard codes is conservative for columns that fail through local buckling. The aim of this research is to use a new design approach, the Continuous Strength Method, to develop an equation to help exceed limits.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Beam-column, Combined loading, CSM, Continuous Strength Method, Flexural buckling, Local buckling, Cold-Formed steel, Strain hardening.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Bridges and flyovers have become a necessary means of connectivity for Men and material between places. The junctions between Bridge and Pavement are failing frequently causing hazardous situations. The primary cause is the failure of back-fill rendering the Bridge inaccessible, causing long detours and escalation in operational costs. An attempt has been made to study the deflection of the abutment for heights 1 m to 4 m high and 16.6 m wide road, for a sample traffic load taken at a Toll gate for a National Highway, Plain/Rolling Terrain as per Ministry of Road Transport & Highways, India; for the Ruling gradient of 3.3%, for the Limiting gradient of 5% and for the Exceptional gradient of 6.7% of the approach embankments and the results are tabulated. The initial deflections though of relatively smaller magnitude can get accumulated resulting into higher magnitude of deflections with the passage of time. The deflection caused by the impact of the lateral load due to traffic could be one of the main reasons for the failure of junctions between the Bridge and the Pavement.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Approach embankment, Approach Slab, Back-fill, Gradient, Traffic Load, lateral load, deflection.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Purpose: The main purpose of this research paper is to investigate the role of data analytics in managing human resources (HRM). The authors focus on identifying the benefits resulting from the use of data analytics in Human Capital analytics processes, understanding the Issues and Challenges related with this practice, and presenting perspectives on the future of this field. Design / Methodology / Approach: This research paper is based on descriptive research design and secondary data collections. This research paper adopts a mixed-methods research design, about both quantitative and qualitative Approaches. Secondary data collected through textbooks, journals, Google Scholar, conferences in National and International, Emerald, and Study blogs. In fact, HR faces several challenges in implementing data analytics. Findings: Utilizing data analytics in human resource management yields numerous benefits (enhanced decision-making in personnel matters, optimization of recruitment and employee development processes, increased efficiency in performance evaluation, talent identification, and trend prediction, which aligns with organizational strategic goals), but it also presents challenges (personal data protection, risk of discrimination, the imperative of ensuring data security) and responsibility. Practical implications: The research paper focuses on identifying threats and challenges linked with employing data analytics in human resource management. Discussed are issues about personal data protection and data security, along with an analysis of challenges connected with data interpretation and ensuring adequate technological resources, analytical competencies, and ethical awareness. Originality/Value: According to Global Market Insights, the worldwide HR data analytics market size was valued at $3.7 billion in 2023 and is projected to grow to $11.1 billion by 2032. However, several organizations still do not sufficiently spend in analytical solutions. The authors endeavor to provide concrete recommendations for organizations aiming to effectively utilize data analysis in personnel management while ensuring compliance with relevant legal regulations and respect for employees' rights.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Human Resource Management (HRM), Data Analytics, Organisational Performance, Global Market, Big Data Analytics.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A pre-experimental study was adopted on effect of educational intervention on knowledge regarding health promotional strategies of elderly people among caregivers in selected rural communities, Bankura, West Bengal with the objectives to assess the knowledge of the caregivers regarding health promotional strategies of elderly people before and after educational intervention, to evaluate the effectiveness of educational intervention regarding health promotional strategies of elderly people and to find out the association between pre-test knowledge score and the selected demographic variables. By simple random sampling technique 68 caregivers of elderly people were selected and data were collected by semi- structured demographic proforma, structured knowledge interview schedule. Pre-experimental one group pre-test post-test design was adopted. Study findings revealed that the educational intervention was effective in increasing knowledge as evident from the mean difference of pre and post-test knowledge score ('t'=31.34, p=0.05). There was significant association of the pre-test knowledge score of the caregivers of elderly people with their educational status. The study has implications for nursing practice, education, administration and research.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Effect, Educational intervention, Health promotional strategies, Knowledge, Caregivers

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study focuses on "Predictive Modeling and Data Analysis of Student Performance in Higher Education Institutions of Goa," with the goal of identifying trends, important performance indicators, and providing actionable insights for improving academic outcomes. The study employs advanced data analysis tools and predictive modeling to assess the relationship between demographic, socioeconomic, academic, and institutional variables and student achievement. The goals include examining patterns in student achievement, identifying significant factors impacting performance, and evaluating the effectiveness of institutional support and extracurricular activities.Predictive models will be built to forecast academic success, and the impact of attendance, family history, and peer influence will be thoroughly investigated. The hypotheses aim to investigate significant correlations between academic achievement and variables such as socioeconomic position, peer influence, and institutional assistance. In addition, the study assesses the usefulness of predictive models in properly projecting outcomes and the effects of family background and extracurricular engagement on academic achievement. The study uses a comprehensive methodology that includes data gathering via structured questionnaires, statistical analysis, and machine learning techniques.By bridging the gap between raw data and strategic decisionmaking, the study aims to equip Goan educators and policymakers to execute datadriven interventions that improve student performance and institutional effectiveness. This paper contributes to the emerging field of educational data analytics by providing a detailed knowledge of the interactions between many factors and academic accomplishment, paving the path for more informed and equitable educational methods.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Student performance, higher education, predictive modelling, data analysis, Goa, academic success, institutional support, socio-economic factors, machine learning, educational analytics.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract As a government-initiated insurance program in India as Pardhan Mantri Fasal Bima Yojana (PMFBY) provides money to farmers after crop failures. The government implemented this insurance policy in 2016 to substitute previous crop insurance systems because it targets helping farmers who experience damage from various sources like natural disasters and pest infestations or plant diseases. Farmers that participate in the PMFBY scheme must pay a minimal premium amount because both central and state governments provide financial subsidies. The scheme secures pre-sowing, sowing and post-harvest risks so farmers receive full protection starting from the prior planting stage to post harvest period. When crop failure occurs farmers can receive payments proportionate to their damage extent because of this benefit they gain financial support to rebuild their operations. PMFBY establishes financial protection for farmers against harvest losses to facilitate their active promotion of contemporary agricultural techniques independent of revenue collapse during crop failure. The scheme delivers affordable insurance coverage which functions to protect both farmers' financial security and their farm stability. The scheme facilitates financial inclusion for farmers through its access to formal credit institutions which simultaneously builds their confidence to practice investment in agricultural activities. Through its functions the PMFBY scheme creates a framework that builds farmer resistance against unpredictable risks and drives sustainable agricultural progress throughout India.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Agriculture, Insurance, Farmer, Fasal, PMFBY etc.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Social media has become an integral part of the daily lives of youngsters, significantly influencing their communication, behavior, and lifestyle. This study explores the impact of social media among youngsters in Chennai City, focusing on its effects on mental health, academic performance, social interactions, and lifestyle choices. Through a mixed-method approach involving surveys and interviews, the study examines both the positive and negative consequences of social media usage. While social media fosters connectivity, knowledge sharing, and entertainment, excessive usage has been linked to addiction, reduced productivity, and mental health issues such as anxiety and depression. The study also highlights the role of parental guidance and digital literacy in mitigating negative impacts. The findings provide insights for educators, parents, and policymakers to promote responsible social media usage among youngsters in Chennai.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Social Media, Youngsters, Chennai City, Academic Performance, Social Interactions, Digital Addiction, Online Behavior, Digital Literacy, Parental Guidance, Social Networking, Cyberpsychology, Technology and Youth, Internet Usage, Psychological Impact

  License

Creative Commons Attribution 4.0 and The Open Definition