Papers by Dr. Elantheraiyan P Professor
Journal of Informatics Education and Research
Training effectiveness is crucial for employee and organizational growth. This study aims to expl... more Training effectiveness is crucial for employee and organizational growth. This study aims to explore the factors that affect employee training effectiveness in manufacturing companies in Ethiopia. The study focuses on trainers, training content, supervisor support, and the training environment as independent variables, with training effectiveness as the dependent variable. A quantitative research design was adopted, and data were collected from employees who recently underwent training at four manufacturing companies in Bishoftu City, Ethiopia. The findings revealed that competent trainers, well-organized training content, supportive supervisors, and a conducive training environment significantly influenced training effectiveness. The study contributes to addressing the gap in literature regarding the specific effects of these factors on the manufacturing industry in Ethiopia.
International Journal of Innovative Technology and Exploring Engineering (IJITEE)
Social media is a rich source of infotainment for most of the people in the current scenario for ... more Social media is a rich source of infotainment for most of the people in the current scenario for huge chunk of literate people. Social serves as a vent and a platform for these people to elicit their thoughts, ideas, feelings and creativity. But too much of anything will have a negative impact and it might hamper your productivity, especially in the case of college students in Chennai you can hardly find a person who doesn't have an account in any of the social media like Facebook, Whatsapp, sharechat, Instagram etc. If you observe generally most of the college goers immerse themselves more on these social media and they become maniac over it in such away that for every 30 minutes on an average they would like to have a glimpse on the updates popping up on social media. Apart from college timings these social media swallows most of the student's productive time. This study reveals how the social media impacts the value time and distracts the students from their primary goal and how it creates havoc in their personal life.
IGI GLOBAL
Artificial intelligence in School has arrived to open up an entirely new platform of learning tha... more Artificial intelligence in School has arrived to open up an entirely new platform of learning that is personalized, ethical, and revolutionizes the traditionalist approach
IGI GLOBAL
Fintech has merged with NLP to change the service marketing landscape of the financial sector. Me... more Fintech has merged with NLP to change the service marketing landscape of the financial sector. Merging has led to unique innovations that upgrade customer experiences, make things easier with various operational aspects, and open up new channels in the servicing of personalized financial benefits. With AI and ML slowly becoming vital for financial institutions, NLP has emerged as a vital force in understanding customer needs and fulfilling them better. NLP-based fintech innovations revamp every service marketing area, ranging from customer support to customized recommendation, fraud detection, and risk assessment. With very advanced NLP algorithms, chatbots and virtual assistants can now converse in human-like ways, adding instant and 24/7 customer support and unburdening human agents of the load. These AI-powered interfaces can decode complex queries, find sentiments, and offer more suitable solutions, dramatically improving customer satisfaction and retention rates.
IGI GLOBAL
Marketing personalization has been famed as a transformative force in consumer engagement, largel... more Marketing personalization has been famed as a transformative force in consumer engagement, largely seen with the recent inclusion of artificial intelligence (AI). With the companies wanting to create tighter bonds with their target consumers, AI solutions have exposed possibilities of creating more engaging, specific, and timely messages to the audiences. In this abstract, the multidisciplinary study of the consumer engagement framework is discussed with regards to the AI-based persona-driven marketing personalization, discovering that this paradigm can open new frontiers for customer engagement evolution and business triumph. Pivotal to this endeavor is the capacity of AI systems to mine deep and wide to identify patterns relevant to CONSUMERS in ways that would help marketers to shape the messages, products and interfaces employed from those that are most relevant to their consumers' wants and behaviors. This can be achieved by integrating machine learning algorithms and natural language into the system and interpreting complex data patterns of the customers.
IGI GLOBAL
Rapid AI and its integration into virtually every business process stand on their own as a new ge... more Rapid AI and its integration into virtually every business process stand on their own as a new generation in customer relationship management. This paper explores the transformative impact that AI, big data analytics, and machine learning have brought to CRM systems and strategies, looking closely at how they promise to revolutionize the customer experience in the digital revolution. In light of increasing competition in an increasingly data-driven marketplace, the traditional model of CRM is being rewritten. With AI-powered CRM solutions, businesses are now better equipped with new tools and capabilities that they can use to process extensive customer data to derive meaningful insights, thus enabling highly personal, efficient, and predictive customer relationships well beyond comparisons made thus far. As such, this change assumes a revolutionary shift from reactive to becoming more proactive so as to allow the much-needed ability to predict and preempt customers' needs and preferences with unprecedented accuracy.
IGI GLOBAL
With enhanced pressure from the stakeholders and concern towards the environment,
organizations h... more With enhanced pressure from the stakeholders and concern towards the environment,
organizations have no other way than to go for green management strategies to
make business sustainable in today's world. This chapter considers the sustainability dimension of leadership, employee engagement, and organizational resilience
as three interlinked elements that form a holistic approach to green management.
It is in this backdrop that the authors present an integrated framework that helps
organizations navigate through the complexities of sustainability toward long-term
success and adaptiveness. In this regard, sustainable leadership is very important
in influencing organizational change for environmental responsibility. Such leaders
will not only drive their organizations toward eco-friendly practices but also inspire
and empower the staff to become pro-green. By so doing, sustainable leaders diffuse
a culture of stewardship toward the environment throughout the organization by
way of a vision, ethical decision-making, and a commitment to value creation for
the long term.
India is a huge and culturally ranged country, with numerous languages, cultures, and traditions.... more India is a huge and culturally ranged country, with numerous languages, cultures, and traditions. This range creates both possibilities and issues for the fintech sector, which aims to make financial services easier and more readily available to the Indian populace. This research paper investigates the effect of linguistic and cultural diversity on fintech adoption in the Indian market. It explores how such features affect customer behavior, preferences, and attitudes regarding solutions offered by fintech. Recognizing these characteristics allows fintech companies to design strategies for resolving obstacles and gaining acceptance across India's various geographic regions and populations.
This chapter offers readers a comprehensive overview of the content, focusing on the purpose and ... more This chapter offers readers a comprehensive overview of the content, focusing on the purpose and key insights. Examining the transformative power of creativity, the narrative underscores its centrality in the innovation economy. Shifting the spotlight to leadership, the discussion emphasizes the evolving role of leaders as visionaries and catalysts for change, drawing inspiration from real-world examples in FinTech, e-commerce, and healthcare. Ethical considerations serve as guiding principles, emphasizing inclusivity, accountability, and responsible technology integration. Exploring future trends, the chapter advocates for immersive technology integration, flexible learning models, and an emphasis on social impact. Ultimately, the chapter positions management education as the crucible for cultivating visionary leaders equipped for the challenges of the innovation-driven world.
Journal of Informatics Education and Research
India is a huge and culturally ranged country, with numerous languages, cultures, and traditions.... more India is a huge and culturally ranged country, with numerous languages, cultures, and traditions. This range creates both possibilities and issues for the fintech sector, which aims to make financial services easier and more readily available to the Indian populace. This research paper investigates the effect of linguistic and cultural diversity on fintech adoption in the Indian market. It explores how such features affect customer behavior, preferences, and attitudes regarding solutions offered by fintech. Recognizing these characteristics allows fintech companies to design strategies for resolving obstacles and gaining acceptance across India's various geographic regions and populations.
The study uses consumer involvement theory to examine AI's potential to change
IGI GLOBAL
The infusion of Artificial Intelligence (AI) in primary education promises the increased learning... more The infusion of Artificial Intelligence (AI) in primary education promises the increased learning experiences and achievement among students, but in the face of these pluses, consideration of child privacy ethically comes as a major concern. This paper seeks to look into the nuanced role that leveraging AI technologies play in a manner that augments primary education while, at the same time, ensuring in the process protection to children's privacy rights. The education sector has also been covered with artificial intelligence lately, which brings a place where facilities for individual learning, according to the exact requirement and style of learning of the student, can be put in place. More so, the basic level of education-that is from where the actual foundation of skills lies-a huge potential remains in terms of AI-based applications among students, in their engagement, autonomy, and academic attainment. Examples of such AI tools will be adaptive learning platforms, intelligent tutoring systems inspired towards practice, and educational games focusing on the diverse needs and preferences of the learner, hence redefining traditional approaches in pedagogy. However, the very penetration of AI into the primary education system raises mostly ethical questions, connected with child privacy. Using the capacities of AI-driven platforms, a child literally emits plenty of sensitive data from personal identifiers up to learning preferences and behavioral patterns.
IGI GLOBAL
Companies selling electronic items face the challenge of adapting to the rapidly shifting landsca... more Companies selling electronic items face the challenge of adapting to the rapidly shifting landscape of customer expectations in the digital era. This chapter, presented by the authors, delves deeply into the integration of pioneering metaverse concepts within omnichannel strategies specific to the electronics domain. As a transformative force, the metaverse redefines the traditional paradigms of promotion, sale, and customer experience, answering the burgeoning demand for immersive and personalized shopping journeys. The authors extensively explore the potential and application of groundbreaking technologies such as virtual reality (VR) and augmented reality (AR). Emphasis is given to how the metaverse can seamlessly enhance online shopping platforms, in-store interactions, and proactive customer service initiatives. Furthermore, the chapter illuminates the broad-ranging impact of the metaverse on the retail sector, shedding light on intricate facets such as data-driven insights, requisite infrastructure evolution, and paramount privacy considerations.
IGI GLOBAL
Healthcare innovation is a vibrant domain of medical science and patient care that is constantly ... more Healthcare innovation is a vibrant domain of medical science and patient care that is constantly changing with technological advancements and new treatment modalities. This chapter provides an overview of the complex landscape of healthcare innovation and the roles identified for stakeholders to influence or be influenced by their environment. Stakeholders' perceptions, desires, and attitudes toward healthcare innovation have a significant impact on its development, integration, and acceptance. The chapter examines the interacting and intersecting roles and agendas of patients, Copyright © 2024, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.
Online learning platforms have become integral to modern education, especially during the COVID-1... more Online learning platforms have become integral to modern education, especially during the COVID-19 pandemic, as they offer a dynamic environment for remote education. This study focused on evaluating postgraduate students' and Ph.D. scholars' perceptions of online learning platforms at the Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, School of Management Studies. Employing a descriptive research design, this study utilized convenience sampling and distributed a Google Forms to 218 students in March 2023. In total, 104 responses were received. However, 101 questionnaires were found to be valid and fit the analysis. The study used a five-point Likert-scale questionnaire to collect data on students' perceptions of four factors (educational system quality, information quality, ease of use, and usefulness). The study employed statistical packages for social sciences (SPSS) and SmartPLS4 were used for data analysis. The study used data analysis techniques such as descriptive statistics, Pearson correlation, construct reliability and validity, convergent validity, outer loadings, R-square, and f-square to evaluate the reliability, data quality, and fitness of the model. Apart from that, path coefficient was run to examine the level of influence of the independent variables on students' perceptions. The findings supported the hypotheses related to the positive correlation between educational system quality, ease of use, and overall satisfaction with online learning. However, this study challenged the hypothesis that information quality significantly affects student perceptions of online learning. While this study did not provide strong statistical evidence for the positive relationship between the perception of information quality and students' intention to attend online learning sessions, it highlights the importance of ensuring high-quality educational materials and considering other factors that influence students' decisions in online learning. The findings suggest that focusing on these aspects can enhance student satisfaction, engagement, and motivation in online learning environments. Moreover, educators and institutions should capitalize on the unique advantages of online learning, such as flexibility and multimedia-rich content. In conclusion, this study provides valuable insights into the complex interplay between students' perceptions of online learning platforms and their intentions and behaviors. The implications discussed offer guidance to educators and platform developers to enhance the design, implementation, and effectiveness of online learning experiences. This study also identified future research directions, emphasizing the need for more comprehensive studies, considering additional predictor variables, incorporating qualitative data, and conducting longitudinal research.
The purpose of this research was to examine the impact of training on employee performance as pre... more The purpose of this research was to examine the impact of training on employee performance as predicted by a training needs assessment, the availability of resources for training, and employee perceptions towards training. The result indicates that training needs assessment and training resource availability have a significant effect on employee performance. However, employees' perception of training is not the major determinant of employee levels of performance. The HRM department of the Tigray Regional Education Bureau (TREB) should train employees to make training programs effective that will improve employee performance. The availability of training resources and their management should be improved.
IEEE
Machine learning algorithms can be applied to real-life applications, such as customer churn rate... more Machine learning algorithms can be applied to real-life applications, such as customer churn rates for dairy products, which are part of the business-to-consumer (B2C) model, to create a strong customer retention strategy. The ultimate objective is to identify an efficient machine learning algorithm that may be utilized for predicting consumer churn in dairy-based products. Following the exploratory data analysis (EDA) phase, churn prediction models are constructed using machine learning algorithms such as logistic regression, random forest, support vector machine, K-nearest neighbor (KNN), decision tree classifier, and Gaussian naive bayes. The Kaplan-Meier curve, which is based on the customer lifetime value (CLV), is used to understand the churn behavior of the customers. Two binary classifier models are chosen for further study: random forest and logistic regression, determined by the area under the receiver operating characteristic curve (AUROC). Comparing the random forest to the logistic regression, the random forest performs better overall (87.26%), with precision (85.44%), recall (88%), and F1 score (86.7%). The random forest classifier has an AUC value of 95%, which is higher than the AUC score of 93% for the refined logistic regression model, as seen by the ROC graph. In comparison to the logistic regression, the random forest classifier is doing rather well on this binary class classification task based on the confusion matrix and ROC graph. Thus, the random forest classifier is considered to be the most effective one for dairy products.
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Papers by Dr. Elantheraiyan P Professor
organizations have no other way than to go for green management strategies to
make business sustainable in today's world. This chapter considers the sustainability dimension of leadership, employee engagement, and organizational resilience
as three interlinked elements that form a holistic approach to green management.
It is in this backdrop that the authors present an integrated framework that helps
organizations navigate through the complexities of sustainability toward long-term
success and adaptiveness. In this regard, sustainable leadership is very important
in influencing organizational change for environmental responsibility. Such leaders
will not only drive their organizations toward eco-friendly practices but also inspire
and empower the staff to become pro-green. By so doing, sustainable leaders diffuse
a culture of stewardship toward the environment throughout the organization by
way of a vision, ethical decision-making, and a commitment to value creation for
the long term.