Author(s) :

Balaji B.

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Employee morale is a critical factor influencing productivity, engagement, and overall organizational success. This study aims to evaluate the levels of morale among employees at Micro Concept Tools Pvt. Ltd., identifying key influencing factors. Using descriptive research design and statistical tools like chi-square and ANOVA, the study finds that while most employees are satisfied with compensation and environment, issues like communication and career growth require attention. The paper recommends structured engagement and recognition programs to enhance morale.

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Author(s) :

ARUN V.

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The “ A Study on Employee Absenteeism” project , carried out by Multivista Global Private Limited, The goals of this study are to analyse overall attendance data and determine absenteeism rates, to increase employee productivity by cutting down on absences, to identify the major causes of absences in a given department, to suggest management strategies to cut down on absences, to identify the causes of both avoidable and unavoidable absences, and to learn about the different facilities and employee welfare programmes available.

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Author(s) :

GOPIKA D .

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Organizational ethics refers to the principles and standards guiding behavior within a business or institution. It encompasses values such as integrity, accountability, this study was implemented the simple random sampling of 150 employees statistics tools such as correction, regression, chi- square and ANOVA the organizational culture and decision-making processes. Ethical practices within organizations promote trust among stakeholders, support compliance with laws and regulations, and contribute to long-term sustainability. This abstract explores the importance of ethical frameworks, the role of leadership in fostering ethical behavior, and the impact of ethics on organizational performance. As global scrutiny and stakeholder expectations rise, the integration of ethics into core business strategies has become essential for maintaining reputation and achieving success

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Author(s) :

GEETHA.S.

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Employee Relationship Management is the important factor that lies in the current competitive organization. This relationship stands on organization communication among all the workers and the management which is the essential part to build a good working community. With respect to the growth of the company and to enhance work performance employee must get feedback in both positive and critical, Appreciation and Gratitude which is necessary. The negativity in the employee employer relation, the management might fail to know the issues with regard to the employees who do not achieve long term achievement in the enterprise. In this current competitive world, the accomplishment of good relationship is based on employee job satisfaction. Employees are treated as assets of the company. The employees must try their level best to adjust with each other and should compromise to the extent. And the employees need to enter the office positively. Observation says that the relationship among the employees goes in a long way in motivating the employees and increases the confidence level and morale of the employees

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Author(s) :

Aarchi Goyal.

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This study explores the nuanced relationship between negative feedback and employee engagement within diverse organizational settings. Utilizing a quantitative methodology, the research surveyed 100 employees across industries such as IT, healthcare, education, and manufacturing. The findings reveal that negative feedback, when delivered constructively and empathetically, can enhance motivation and foster higher engagement levels. Conversely, harsh, frequent, or poorly communicated feedback tends to demotivate employees and diminish their emotional commitment to their roles. Key moderating factors identified include feedback delivery style, perceived fairness, emotional intelligence, and managerial training. The study highlights the importance of cultivating a feedback culture rooted in trust and development-oriented communication, offering actionable recommendations for improving feedback practices to optimize employee engagement.

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Author(s) :

aaryamann relan.

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The geopolitical landscape plays a crucial role in shaping global trade and commerce. This paper explores the contextual framework of geopolitical factors—including political stability, international relations, strategic alliances, trade wars, and sanctions—and their impact on the global economic order. It delves into how power dynamics between nations influence trade routes, investment flows, supply chains, and access to resources. By examining historical trends and contemporary events such as the U.S.-China trade conflict, the Russia-Ukraine war, and tensions in the Indo-Pacific, this study highlights the interplay between geopolitics and economic interests. The framework presented aims to provide a structured understanding of how geopolitical shifts create both opportunities and vulnerabilities for nations and corporations engaged in international commerce.

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Author(s) :

Keerthana T.

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This study has been enriched in “DELPHI-TVS TECHNOLOGIES LIMITED” to identify the HR managing cross-culture diversity. HR managing cross-cultural diversity refers to the strategic practices that human resources implement to create an inclusive environment accommodating employees from different cultural backgrounds, thereby enhancing organizational effectiveness and collaboration. Workplace cross-cultural diversity includes a broad range of distinctions, language, religion, and cultural norms. Although diversity can foster creativity, problem-solving, and employee involvement, it also presents particular difficulties like misunderstandings, prejudices, and possible conflicts.

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Author(s) :

Hemanathan M.

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This project, conducted at Versuni India Home Solutions Ltd. (formerly Philips Domestic Appliances), aims to enhance workplace health and safety standards within the company's operational environment. The core objective is to assess existing health and safety practices, identify gaps, and implement strategies that align with statutory requirements and best industry practices. By focusing on hazard identification, risk assessment, and the development of control measures, the project seeks to reduce workplace incidents and foster a culture of proactive safety management. Through employee training programs, safety audits, and the implementation of personal protective equipment (PPE) protocols, this initiative emphasizes the importance of employee well-being as a critical component of organizational success. Ultimately, this project contributes to sustaining a safe, healthy, and productive workforce in alignment with Versuni’s commitment to operational excellence and corporate responsibility.

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Author(s) :

Shaistha H.

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Antimicrobial resistance (AMR) is a major global health threat, as it undermines the effectiveness of traditional antibiotics against multidrug-resistant (MDR) pathogens. To address this issue, the use of nanomaterials, particularly nanoparticles, has gained significant attention due to their unique antimicrobial properties. Nanoparticles exhibit potent antimicrobial effects by disrupting bacterial cell membranes, generating reactive oxygen species, and interfering with bacterial metabolism. However, the synthesis of antimicrobial nanoparticles requires precise control over their properties such as size, shape, surface charge, and composition. Traditional approaches to nanoparticle synthesis are often resource-intensive and time-consuming. To streamline this process, artificial intelligence (AI) has emerged as a powerful tool for designing, optimizing, and automating the synthesis of antimicrobial nanomaterials. AI-driven models, including machine learning (ML), can predict nanoparticle properties and optimize synthesis conditions, reducing the time and cost required for nanoparticle development. Furthermore, AI can integrate with high-throughput synthesis techniques to rapidly generate and test large numbers of nanoparticle formulations. Real-time monitoring and control of the synthesis process, enabled by AI, allows for dynamic adjustments to maintain optimal conditions, ensuring reproducibility and scalability. While challenges such as the need for large, high-quality datasets and model generalization across nanoparticle systems persist, AI holds immense potential to revolutionize the design and production of antimicrobial nanoparticles, offering novel solutions to combat AMR in the future.

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Author(s) :

Bharath Kumar.

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Bioremediation, utilizing microorganisms or plants to degrade pollutants, faces challenges in dealing with difficult contaminants like heavy metals and organic compounds. Nanotechnology has emerged as a promising tool to enhance bioremediation, owing to the unique properties of nanomaterials such as high surface area and chemical reactivity. However, the design of effective nanomaterials for environmental cleanup remains complex due to the variability in material properties and pollutant interactions. Traditional trial-and-error methods for nanomaterial design are resource-intensive and time-consuming. Artificial intelligence (AI) has become a transformative solution to optimize nanomaterial design and performance. AI-powered predictive models, leveraging large datasets and advanced algorithms, can simulate nanomaterial behavior, enabling the identification of optimal properties for pollutant removal. Machine learning (ML) techniques, such as supervised learning, unsupervised learning, and reinforcement learning, play critical roles in predicting nanomaterial performance and optimizing synthesis parameters. Additionally, AI enables the use of multiscale modeling to predict nanomaterial behavior across atomic, molecular, and larger scales, improving their interaction with pollutants and microbial communities. By integrating AI with high-throughput screening systems, researchers can rapidly evaluate and optimize nanomaterials for effective bioremediation, accelerating the development of sustainable environmental solutions.

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