International journal of Social Trends (IJST) is multidisciplinary double blind peer review social science journal
Deep Learning Techniques for Adaptive Resource Allocation and Data Reliability in Cloud Ecosystems
Cloud ecosystems are of particular importance in terms of providing supporting framework for a wide range of current and future digital services and applications, but they also have potentially fatal flaws in terms of resource management and data integrity. Indeed, conventional approaches are normally slow in meeting the needs of such surroundings in a way that results in wastage of resources, poor productivity and propensity to failure. This article envisages how the deep learning methods can be applied to these critical concerns. In this paper, with the aid of neural networks, reinforcement learning, and ensemble methods, we contribute adaptive approaches to managing the distribution of the resources while improving the credibility of the data in real-time. The features of the methodology include the use of the workload forecasting based on the predictive modeling, the dynamic resource management based on the reinforcement learning, and the usage of the data integrity and fault tolerance based on the anomaly detection algorithms. The result shows that deep learning is not only more accurate but also more scalable and flexible in a highly dynamic environment compared to the heuristic methods. A simulated analysis of the proposed scheme shows scenarios of decreased latency, more efficient load distribution, and increased system stability despite fluctuating conditions. That is why the experimental outcomes reported in this article evidence the goal of deep learning in cloud environments to construct a more robust and efficient infrastructure. They generalize far beyond the optimization of operational functionality and open up opportunities for cost reduction and increased sustainability in the field of cloud computing. The findings of this research underscore the need for continuing the enhancement of the AI integration into cloud systems for the purpose of managing new issues and realizing new possibilities.
Copyright (c) 2024 International Journal of Social Trends
Artificial Intelligence for Fault Detection in Cloud-Optimized Data Engineering Systems
The rapid adoption of cloud-optimized data engineering systems has revolutionized the way organizations handle vast volumes of data. These systems offer unmatched scalability, flexibility, and cost-efficiency. However, their increasing complexity and reliance on distributed architectures have made them susceptible to a wide range of faults, such as hardware failures, software bugs, and network disruptions. Faults in cloud environments can lead to severe consequences, including service outages, compromised data integrity, and increased operational costs. Artificial intelligence (AI) has emerged as a transformative solution for addressing these challenges. By leveraging advanced algorithms and computational power, AI facilitates real-time fault detection, predictive maintenance, and automated remediation. Machine learning (ML) and deep learning (DL) models analyze large-scale system logs, metrics, and telemetry data to identify anomalies, predict potential faults, and recommend or execute corrective actions before failures occur. These capabilities enhance system reliability, minimize downtime, and optimize resource utilization. This article provides an in-depth exploration of AI-driven fault detection in cloud-based environments, covering foundational methodologies, cutting-edge algorithms, and practical applications. Key focus areas include AI frameworks for anomaly detection, predictive analytics, and self-healing mechanisms integrated into leading cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure. Real-world case studies illustrate how AI transform’s fault management by reducing mean time to resolution (MTTR) and preventing cascading failures. Despite its transformative potential, implementing AI-based fault detection presents challenges. Issues such as data sparsity, imbalanced fault datasets, computational demands, and ethical concerns, including biases and false positives, complicate deployment. Moreover, the dynamic nature of cloud systems requires continuous learning and adaptation to evolving fault patterns. Looking ahead, this article identifies emerging trends and innovations in AI for fault detection. These include the integration of edge AI with cloud systems, advances in explainable AI to build trust in automated decision-making, and the rise of autonomous systems capable of self-diagnosis and self-healing. As organizations increasingly rely on cloud infrastructures, the synergy between AI and fault detection will play a critical role in shaping the resilience and efficiency of next-generation data engineering systems.
Copyright (c) 2025 International Journal of Social Trends
Cloud-based Solutions for AI-Enhanced Data Governance and Assurance
The recent increase in the use of big data and analytics in various global industries has created pressure on industries to develop reliable and flexible frameworks for data governance. Historically used approaches can be ineffective in addressing the problem of increasing data flow, variety, and compliance expectations. This paper seeks to examine the use of cloud solutions with an aspect of Artificial Intelligence as an innovative development in data management and reporting. Cloud-based platforms offer more appropriate possibilities: scalability, flexibility, and accessibility of solution; AI enriches data governance activities performing automation of processes, detection of anomalies, and predictive analysis. This paper presents a clear agenda of how AI models should be incorporated to work within the cloud environments to improve data quality, meet regulatory requirements and streamline operations. The use of supervised and unsupervised learning, NLP, and real-time monitoring make the proposed architecture able to enforce policies, detect anomalies and check compliance. In addition, the research also compares these solutions with conventional approaches to identify enhanced economic and precise performance and the ability to address constantly changing regulations. Challenges such as security, privacy and ethical implication relating to the use of AI are identified and possible solutions are provided. This part of the work describes how it is possible to apply these solutions in healthcare, finance and logistics industries. The results highlighted a need for adopting AI-enhanced cloud-based governance system that can address the needs of today’s data-oriented organizations.
Inside a Distributed Denial of Service (DDoS) Attack: Anatomy, Impact, and Defense Strategies
A Distributed Denial of Service (DDoS) attack is one of the most common and devastating forms of cyberattacks in today's interconnected world. It involves overwhelming a targeted server, service, or network with a flood of internet traffic from multiple compromised systems, rendering the system inoperable. This paper explores the anatomy of a DDoS attack, shedding light on its mechanisms, types, and impact on cybersecurity. It also provides strategies to mitigate these attacks. Data and statistics are presented to showcase the growth of DDoS incidents globally, the common targets, and the cost implications. The paper concludes with recommendations for organizations to enhance their defense mechanisms
A Comprehensive Literature Review on the Most Recent AI Developments in Healthcare
Healthcare organisations are seeing rapid administrative and clinical workflow transformations due to the adoption of artificial intelligence (AI). This update exemplifies how AI is changing many different industries, most notably medical processes involving early detection and diagnosis. Evidence from previous research suggests that AI might significantly improve healthcare service quality. Some claim that AI-based technologies can enhance human life by making it easier, safer, and more productive. As a literature review, this study examines all of the prior academic work on artificial intelligence's applications in healthcare. This review analysed 132 scientific articles in order to provide a taxonomy. Individuals, healthcare providers, companies, and the health sector are all addressed in the presentation, which goes over the pros and cons of AI capabilities. Furthermore, the article delves into the social and ethical considerations surrounding artificial intelligence (AI) as it pertains to healthcare decision-making, patient data privacy and security, and health monitoring capabilities.
Analysis of the Effects of Artificial Intelligence (AI) Technology on the Healthcare Sector: A Critical Examination of Both Perspectives
In recent years, AI's impact has grown substantially, particularly in the medical industry. Its impact has been so far-reaching that it intends to establish itself as a cornerstone of the healthcare system of the future. We searched the PubMed database extensively for articles about artificial intelligence (AI) in healthcare and extracted the most pertinent data from those that met our criteria. Artificial intelligence (AI) is great at managing data, making accurate diagnoses quickly, and adapting to new situations, all of which may increase worker productivity. The Food and Drug Administration has steadily authorised more machine learning (ML) programs for usage by scientists and medical professionals in anticipation of this possibility. There are, however, a handful of contentious issues, including worries about clinical implementation, possible healthcare problems, and the likelihood of data breaches. This article explores the pros and cons of using AI in healthcare, and offers some suggestions on how to address the problems that may arise.
An Overview of Medical Artificial Intelligence Research in Artificial Intelligence-Assisted Medicine
As economic conditions improve and living standards rise, individuals' focus on health is steadily intensifying. They are starting to rely on machines, anticipating that artificial intelligence (AI) will create a more humanised medical environment and offer personalised services, therefore significantly increasing supply and reconciling the disparity between resource availability and demand. The advancement of IoT technology, the emergence of 5G and 6G connectivity, and the augmentation of computational capacities have significantly accelerated the development and use of AI-assisted healthcare. Research and use of artificial intelligence in medical support are now intensifying and broadening. Artificial intelligence possesses significant economic value and offers several potential uses for medical institutions, patients, and healthcare personnel. It may augment medical efficiency, diminish healthcare expenses, elevate the quality of healthcare services, and offer a more sophisticated and personalised service experience for healthcare personnel and patients. This paper details the historical progression and timeframes of AI development in medicine, the various AI technologies utilised in healthcare informatics, the implementation of AI within the medical sector, and the associated possibilities and problems in the area of medicine. The integration of healthcare and artificial intelligence significantly influences human existence, enhancing health standards, quality of life, and altering lifestyles.
Present State and Future Uses of Artificial Intelligence (AI) in Healthcare: A Review
At the present time, AI is poised to revolutionise nearly every sector of the healthcare industry. Research into this technology is necessary so that its various medicinal uses may be identified. Analysed "Artificial intelligence" and "Artificial intelligence in the medical field" scholarly articles and found major uses for AI. Through in-depth analysis and investigation, this article demonstrates how artificial intelligence is assisting in the resolution of complex medical issues. The research uncovered five major AI technologies that are being used in healthcare and AI implementation. At the end of the piece, 10 main uses of AI in healthcare are highlighted and briefly explained. With the help of AI, a beneficial therapeutic choice may be made to enhance patient results. The medical industry is becoming increasingly automated as new technologies are accepted and experimented with. The medical profession is currently implementing AI to digitally store patient records and perform smart technology-based exams. It offers answers, particularly in the areas of tailored therapies, specifically designed pharmaceuticals, and focused treatments. AI is a cutting-edge tool that aids the surgeon with the administration of medication, therapy, and surgery. The primary use of this technology is to improve the decision-making process in complex scenarios. Additionally, it can aid in hospital infection tracking, detection, investigation, and management. An online platform for patient appointments is created and enhanced by this technology. It will be useful for the benefit of mankind in the future across all fields of medicine.
Using Artificial Intelligence in Clinical Practice to Improve Human Health
The goal of this literature review is to summarise the most important findings from recent studies on AI in healthcare settings. When it comes to solving difficult medical challenges, artificial intelligence has been a game-changer. Artificial intelligence's capacity to efficiently and accurately examine massive amounts of data is one of its most significant advantages in clinical practice. As a result, several apps have emerged, which has boosted patient outcomes and eased doctors' and nurses' workloads. Doctors may rely on AI to help them make better diagnosis and create personalised treatment strategies. Cardiology, surgery, gastroenterology, pneumology, nephrology, urology, dermatology, orthopaedics, neurology, gynaecology, ophthalmology, paediatrics, haematology, critically ill patients, and diagnostic methods are among the many medical specialities that demonstrate successful AI applications. Issues of accuracy, informed consent, data security, privacy, regulatory framework, product responsibility, explainability, and transparency are highlighted as important legal and ethical factors. Lastly, this study concludes by providing a critical evaluation of AI applications in clinical practice, as well as its potential future directions. Nevertheless, it is crucial to proceed with caution during its development and deployment to guarantee that ethical issues are fulfilled.
Virtual Reality's Effects on Social Behavior and Human Interaction
Virtual Reality (VR) technology has revolutionized human interaction and social behavior, offering immersive experiences that transcend physical boundaries. This abstract explores the multifaceted impact of VR on social dynamics, communication, and behavior. By creating realistic, interactive environments, VR enables users to engage in social interactions that feel authentic, despite being virtual. These interactions can enhance empathy, collaboration, and social connectedness, making VR a valuable tool in education, therapy, and remote work. However, the technology also presents challenges, including potential social isolation, altered perception of reality, and privacy concerns. The study examines both the positive and negative effects of VR on social behavior through case studies and empirical research. Findings suggest that while VR can significantly enrich social experiences and bridge geographic divides, it must be used mindfully to mitigate risks such as addiction and diminished face-to-face interactions. This abstract highlights the need for a balanced approach to integrating VR into daily life, ensuring it augments rather than detracts from genuine human connection.
The Psychological Effects of a Digital Lifestyle
The digital world, characterized by pervasive internet connectivity and the omnipresence of digital devices, significantly influences psychological well-being and social dynamics. The psychological implications of living in this digital age are multifaceted. On one hand, digital connectivity enhances social interaction, providing platforms for communication, support, and community building across geographic boundaries. It offers unprecedented access to information and educational resources, fostering learning and cognitive development. However, the digital world also presents challenges. The constant exposure to digital screens is linked to issues such as digital addiction, where individuals experience compulsive internet use that interferes with daily life. Social media platforms, while connecting people, can lead to negative self-perception and mental health issues like anxiety and depression due to social comparison and cyberbullying. The digital divide exacerbates social inequalities, as not all individuals have equal access to digital resources, affecting their opportunities for education and economic advancement. In conclusion, while the digital world offers substantial benefits for connectivity and information access, it also presents significant psychological challenges. Balancing the advantages with mindful usage and addressing the negative impacts is crucial for enhancing psychological well-being in the digital age.
The Impact Of Distance Learning On Social Mobility
The rise of online education has had a profound impact on social mobility, offering new opportunities for individuals to improve their socioeconomic status through accessible and flexible learning options. This abstract explores how online education platforms democratize access to quality education, breaking down traditional barriers related to geography, financial constraints, and time. By providing a wide range of courses from prestigious institutions, online education enables learners from diverse backgrounds to acquire valuable skills and credentials that enhance their employability and career advancement prospects. The study examines the extent to which online education contributes to social mobility, analyzing data on enrollment trends, completion rates, and employment outcomes. While highlighting the potential benefits, it also addresses challenges such as digital divides, varying quality of online programs, and the need for effective support systems to ensure equitable access and success. The findings suggest that online education is a critical tool for promoting social mobility, particularly when complemented by policies aimed at improving digital literacy and infrastructure. This abstract underscores the transformative potential of online education in creating more inclusive and equitable pathways for upward mobility in the 21st century.
Social Networks' Place in Contemporary Political Movements
The advent of social networks has fundamentally transformed the landscape of modern political movements. This abstract explores the pivotal role these digital platforms play in mobilizing support, shaping public opinion, and facilitating grassroots activism. Social networks provide unprecedented access to real-time information, enabling activists to coordinate actions, disseminate messages, and engage with a global audience. They amplify marginalized voices, democratize political discourse, and challenge traditional power structures by offering alternative narratives. The study examines case studies of recent political movements, highlighting the strategic use of social media to organize protests, raise awareness, and influence policy changes. However, it also addresses the challenges posed by misinformation, echo chambers, and the digital divide. By analyzing the dual-edged nature of social networks in political contexts, this abstract underscores their indispensable yet complex role in contemporary political dynamics. The findings suggest that while social networks are powerful tools for political mobilization, they must be navigated with critical awareness to mitigate their potential drawbacks.
Digital Literacy and Its Importance in the Modern Workforce
Digital literacy is crucial in the modern workforce, where technology plays an integral role in daily operations. This abstract explores the significance of digital literacy in enhancing productivity, efficiency, and competitiveness in the workplace. Digital literacy encompasses the ability to use and navigate digital tools and platforms effectively, including software, applications, and online communication tools. In today's digital age, employers increasingly value candidates with strong digital skills, as they are better equipped to adapt to rapidly evolving technologies. This abstract highlights the importance of digital literacy in empowering employees to perform tasks more efficiently, collaborate seamlessly, and innovate effectively. Additionally, it emphasizes the role of digital literacy in bridging the digital divide and fostering inclusivity in the workforce. Overall, digital literacy is essential for individuals to thrive in the modern workforce and contribute to organizational success in an increasingly digital world.
The Influence Of Social Media On Identity Formation And Interpersonal Connections
Social media has revolutionized how individuals perceive themselves and engage in relationships, influencing both identity formation and interpersonal dynamics. Platforms offer avenues for self-expression but also present challenges of authenticity and self-esteem. Online interactions blur the lines between virtual and real-life relationships, fostering connectivity but also superficial connections. The constant exposure to curated content fuels comparison and unrealistic standards, straining interpersonal bonds. Furthermore, social media shapes societal norms and values, impacting perceptions of beauty, success, and happiness. Despite its potential for connectivity, social media's influence on identity and relationships requires careful consideration to navigate its complexities and promote healthy digital engagement.
Examining How Socioeconomic Status Influences Academic Achievement: An In-Depth Analysis
This meta-analysis examines the relationship between socioeconomic status (SES) and academic achievement across a wide range of studies. Drawing from a diverse pool of literature, including research from education, sociology, and psychology, this study synthesizes findings to provide a comprehensive understanding of how SES influences academic performance. Results indicate a significant and consistent association between SES and academic achievement, with higher SES generally correlating with better academic outcomes. However, the analysis also reveals nuanced patterns, including variations across different academic subjects and grade levels. By elucidating the complex interplay between socioeconomic factors and academic success, this meta-analysis offers insights that can inform educational policies and interventions aimed at reducing disparities and promoting equity in education.
Investigating Socio-Cultural Factors Contributing to Gender Disparities in STEM Education
Despite efforts to bridge the gender gap in STEM (Science, Technology, Engineering, and Mathematics) education, significant disparities persist, particularly in fields like computer science and engineering. This paper investigates the socio-cultural factors contributing to these inequities. Through a comprehensive literature review and analysis, it examines how societal norms, stereotypes, parental influences, and educational environments shape the experiences and choices of male and female students in STEM disciplines. By exploring these factors, the paper aims to provide insights into developing targeted interventions and policies to foster inclusivity and equity in STEM education. Understanding the complex interplay of socio-cultural influences is essential for creating a supportive and empowering environment where all individuals, regardless of gender, can thrive and contribute to the advancement of science and technology.
The Influence Of Urbanization On Communities And Societies
Urbanization, the rapid growth of cities, profoundly impacts communities and societies worldwide. As populations migrate to urban areas, traditional community structures evolve, leading to both opportunities and challenges. Increased urbanization often fosters economic development and innovation, but it can also strain infrastructure and exacerbate social inequalities. The sense of community may shift in urban settings, with diverse populations coexisting but sometimes lacking cohesive bonds. Social dynamics, including family structures and cultural norms, undergo transformation in urban environments. Balancing the benefits and drawbacks of urbanization is crucial for fostering inclusive, resilient communities and societies in the face of rapid urban growth.
The Effects of Adolescent Social Media Utilization on Well-Being: A Study Spanning Over Time
This longitudinal study investigates the relationship between social media usage and adolescent well-being over a period of three years. Utilizing a sample of 500 adolescents aged 13 to 18 years, data was collected annually through surveys assessing social media habits and various dimensions of well-being, including mental health, self-esteem, and social relationships. Results indicate a complex relationship between social media usage and well-being, with both positive and negative effects observed. Increased social media engagement was associated with higher levels of social connectivity and support, yet also correlated with heightened anxiety and depressive symptoms. Moreover, longitudinal analysis revealed potential bidirectional effects, suggesting that while social media use may influence adolescent well-being, individual differences and contextual factors also play significant roles. These findings underscore the importance of nuanced approaches in understanding the impact of social media on adolescent development and highlight the need for targeted interventions to promote positive online experiences and mitigate potential harms.
Сustomer Relationship Management In Stock Market
Customer Relationship Management (CRM) has emerged as a key strategy for maintaining long-term relationships with customers. This approach encompasses four main types: traditional CRM, operational CRM, analytical CRM, and collaborative CRM. Dating back to the work of Barnard in 1940, CRM has evolved to become essential for customer retention, attracting new customers, fostering deeper cooperation, and providing information to customers. The effectiveness of CRM is influenced by both organizational and environmental factors. The proliferation of the internet and information technology has led to a wide array of CRM software options, with over 200 vendors in the market today.
The Liberating Effect of Economic Freedom on Women's Lifestyles in Kota City
The paradigm shift in the lifestyle of working women is inevitable, bringing about both positive and negative changes. Understanding the root causes of negativity is essential for adapting to this new reality. This shift requires a reevaluation of one's approach to life to ensure a balanced and fulfilling existence. Adapting to these changes can lead to a more empowered and liberated society. Embracing this change can lead to personal growth and a broader perspective on gender roles. The evolution of women's roles in the workforce reflects a progressive and inclusive society. It is crucial to address any negative consequences of this shift through proactive measures. Balancing work and personal life becomes increasingly challenging in this new paradigm. Embracing change can lead to greater gender equality and empowerment in society. The shifting dynamics of the workforce call for a reexamination of societal norms and values.
Role Of Social Media In Children's Life (With Reference To Kota City)
The current study on the role of social media in children’s life: A sociological analysis” (with reference to Kota City), is a fieldwork based on primary data on the role of social media on school-going children with an age group of seven to sixteen years from selected schools of Kota. The study gives an outlook to the challenges which children are facing due to excessive use of social media and how social media is becoming a major part of children’s life. Social media has provided us with millions of options on one hand but on the other hand, it has also shown its negative consequences which is impacting our relationships and day-to-day life activities. To know the effects of social media on children the present study has laid the foundation to find out its positive and negative influence of it. The study is also helpful in finding out the present psychological, emotional, behavioural effects of social media usage on children and will surely come up with some solution to it. The present study will also add up some of the major newspaper articles related to children and social media which will reflect light on the present study and give it a more relevant look at the social discipline.
Media Coverage And Journalistic Ethics A Case Study Of The Tragedy In Uttarakhand
Human being is a program that is coded with socio-cultural and emotional script. One interprets an event or an issue depending on the socio-cultural and emotional data mediators feed in it. Interpreted data is then perceived depending on its experiences and knowledge. This research study follows the idea of social constructionism which believes that the social world is constructed by social interactions and in this case its media s messages and interaction with media newline. In the twenty first century, knowledge is power and media is a primary source of knowledge. Media not only provides us knowledge it also shapes our conceptualisation of things around us. Knowledge and experience of an event helps us associate some meaning to the elements related it and media gives information to build that knowledge. Hence, media enjoys a great power that not only gives knowledge rather it shapes opinions, attitudes and behaviour and eventually impacts our lives. Newline. With such power in peoples hands, it becomes crucial to use it with caution and control. As we perceive events and issues subjectively, which depends on the information we receive and consume, it becomes critical to get holistic information in ethical form. In media practice, ethical decision making is progressively emphasised. Journalists face many challenges; some from competitors and some within the domain. While competing, sometimes they fall into a dilemma as to what can be shown or reported and that what should be shown or reported.
Mapping School Teachers' Coping Mechanisms to Their Professional Effectiveness
The study investigated teacher effectiveness, occupational stress, and coping strategies among teachers, finding normally distributed scores. Most teachers were moderately effective (72.33%), perceived moderate occupational stress (72%), and used coping strategies sometimes (62.33%). Problem-solving strategies were most commonly used (28.39%), while sharing strategies were least used (7.19%). Significant negative correlations were found between teacher effectiveness and occupational stress, and between teacher effectiveness and coping strategies. Mean differences between male and female teachers were significant for teacher effectiveness but not for occupational stress or coping strategies. Mean differences based on teaching experience were significant for teacher effectiveness and occupational stress but not for coping strategies. The interaction effect of gender and experience was significant for teacher effectiveness but not for occupational stress or coping strategies
Management Of Customers In The Stock Market
An Empirical Study On Customer Satisfaction With Electronic Banking Services Provided By Public Sector Banks In The Vellore District
E-banking is essential for banking system survival, but reforms and customer training are needed for its acceptance. Customer satisfaction with e-banking is hindered by security concerns, such as hacking and fund loss. Despite this, banks are enhancing security measures and offering free internet banking to attract customers. The study emphasizes the need for banks to cater to customers of all age groups for e-banking improvement. Different customer occupation groups also have varying perceptions of e-banking services. E-banking's success hinges on addressing customer security fears, offering robust solutions, and tailoring services to diverse age and occupation groups.
An Empirical Analysis Of Customer Rage Behavior's Causes, Symptoms, And Organizational Reactions
The findings of this research confirm that customers with Rancorous Rage Emotions tend to directly exhibit all forms of CRB, i.e. exit, revenge, and spreading negative WOM. Customers with Rancorous Rage Emotions are more likely to show exit behaviour and negative WOM. They also tend to take revenge directly, without displaying CRX. Not only is this very dangerous, it is also very difficult to manage customers who directly spring to action without showing any symptoms or expressions related to rage. They do not give enough time to employees and managers of the organisation to respond. These outcomes are contrary to the findings of research of McColl-Kennedy et al. (2009), wherein they have suggested that angry customers first exhibit CRX and then get into CRB. As per the outcome of this research, customers with Retaliatory Rage Emotions do not exhibit any of the CRB directly. Their CRE tend to get reflected into CRB through the vi mediation of CRX. These findings can be helpful to both research scholars and working professionals. Front-end employees and managers are expected to identify and attend to customers who are displaying CRB promptly, in order to minimize damage to the organisation. Timely identification and appropriate handling could also prevent the occurrence of such incidents in future. Organisations are expected to prepare front-end employees by training and orienting them to tackle such customers. They are also expected to work out strategies, so that such events can be prevented from recurring. This study gives readers an insight into the concept of Customer Rage Behaviour (CRB), and its peripheral issues. It is aimed at helping readers understand the impact of effective management of Customer Rage Behaviour (CRB) incidents on customers, front-end employees, and organisations.
A Research On Management Of Human Resources In Higher Education
In the higher education, effective Human Resource Management (HRM) is crucial for achieving organizational goals and objectives. This study aimed to assess the implementation of HRM functions within college management. The findings indicate a substantial application of HRM functions in colleges, although the extent varies based on teacher and institutional variables. The study suggests recommendations for enhancing HRM practices in colleges and identifies opportunities for further research in this area. The abstract provided focuses on the application of HRM functions in higher educational institutions, particularly colleges. It suggests that effective HRM is crucial for achieving organizational goals and objectives in the education sector. The study aimed to assess the extent of HRM functions within college management and found that these functions vary based on certain teacher and institutional variables. Despite some differences, the study reveals a significant application of HRM functions in colleges. The abstract hints at the importance of further research in this area and provides recommendations based on the findings
A Sociological Analysis Of Muslim Divorce: Some Issues And Future Directions (With Particular Reference To Bhopal City)
Societies are based on families and all societies have been seen to develop systems, processes and cultural patterns that stabilize families. Marriage is often the basis of family. To that extent it has been seen that all major religions do not allow divorce. Thus, feminists claim that the right to divorce as advancement in the rights of women. They often criticize and fight for the women to choose marriage/marriage partner and even to annul marriage if required. According to feminism, women are unfairly treated in society, which prioritises the view point of men. Fighting against gender stereotypes and enhancing women's educational, professional and interpersonal chances and outcomes are some ways to improve this. Feminist movements have fought for women’s rights, including the ability to vote, work, receive equal salary, own property, receive an education, have equal rights in marriage and enjoy paid maternity leave. Feminist movements have also influenced changes in female dress codes and the types of physical activity that are appropriate for females. This research was carried out to get knowledge about divorce and its effects on people and society. Material was collected from different sources and pilot study was taken by the researcher. This research study will be very helpful for future researchers. It will help in determining economic and social factors which lead to divorce and how one can overcome the problem. It will also be fruitful to make people aware about the problems created by divorce and enlighten people about the duties towards divorced.
The Right Time By Danielle Steel: A Novel About A Brave Woman Challenging Gender Inequality
This project aims to evaluate Danielle Steel's novel The Right Time through the lens of a courageous woman confronting gender inequity. Aspires to write crime thrillers is the lifelong ambition of teenage Alexandra Winslow. She must have courage to confront societal inequalities and prejudice against women as she pursues her ambition of being a writer, especially while dealing with male crime thriller authors. The employment of a descriptive qualitative approach concludes this study. Quotations from the novel's plot that are relevant to the data are used. The next step in data analysis is to organize the information pertaining to the study's research questions. According to the findings, our heroine displays three distinct acts of bravery: resisting oppression, challenging harmful stereotypes, and standing firm in the face of violent threats. There is no question about Winslow's writing abilities. Those who are familiar with Winslow's work and have read it speak highly of her writing. With the help of his friends and family, Winslow musters the courage to keep pretending to be a man so that he may pursue his ambition of becoming a great writer.