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Sterlite Technologies Ltd.: To Buy or Not to Buy is the Question
[No abstract available] -
Design and optimization of three class object detection modalities for manufacturing steel surface fault diagnosis and dimensionality classification
The main objective of this research is to create and improve three different object identification techniques for identifying surface flaws and categorising dimensions in steel that has been fabricated. RetinaNet, YOLOv3, and Faster R-CNN are the selected modalities in the experiment. The main goal is to evaluate these modalities' ability to detect and classify defects on steel surfaces in terms of accuracy, precision, recall, and F1 score. This assessment makes use of a varied collection of steel surface photos that show different kinds and sizes of faults. Training, validation, and testing sets make up the dataset's partitioning. The training set is used to train and optimise the three modalities, while the testing and validation sets are used to evaluate their performance. According to the study's findings, all three methods provide excellent of 0.92. RetinaNet comes in second with an F1 score of 0.89, followed by YOLOv3 with an F1 score of 0.87, while the Faster R-CNN modality obtains the greatest overall performance with an F1 score. The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2024. -
Smell Technology: Advancements and Prospects in Digital Scent Technology and Fragrance Algorithms
Smell technology, a rapidly expanding sector of the scent business, aims to digitally replicate and transmit aromas. Its applications include virtual reality, e-commerce, and healthcare. Recent advances in the field include the creation of smell algorithms and the use of artificial intelligence to create more realistic fragrances. Fragrance algorithms are mathematical models that predict the scent of a fragrance based on its chemical composition. They might be used to the perfume industry to streamline the production of perfumes and do away with the need for expensive trial-and-error methods. Artificial intelligence is also being used to create digital representations of fragrances that closely resemble the real thing by analysing the chemical composition of actual odours. A possible benefit of this technology in the healthcare sector is that synthetic odours may mimic the scents of diseases and aid physicians in making more precise diagnoses. Additionally, some companies are developing small devices that can be connected to computers or mobile devices to emit odours on demand, providing users of virtual reality, gaming, and online shopping with a more realistic experience. In spite of these advancements, it is still exceedingly challenging to recreate the complexity of natural scents, which can include hundreds of different components. With more research and development, there is still a tonne of promise for fragrance technology in the future. 2023 IEEE. -
Teaching as a political act: The role of critical pedagogical practices and curriculum
The present paper is an inquiry into the role of the teacher in the context of the dominant Indian value system, an imposed curriculum and teacher-students interactions from the social psychological and critical interdisciplinary perspectives. The role of the school in the present modernist worldview is to frame and impart knowledge which may lead to economic growth. In this context, the role of the teacher is observed as being limited to a bearer of information rather than a leader who visualizes change and develops critical ability among students. Based on the theoretical framework of postformalism and collective/social identity, the current work argues that the role of the teacher is not limited to passively following and communicating mainstream values but involves constructing a new participative identity through critical pedagogical engagement and by acting as an active agent of social change. Institute for Research in Social Communication, Slovak Academy of Sciences. -
Post-formalist explanation of academic achievement: Exploring the contribution of John Ogbu and Joe Kincheloe
The present paper attempts to interrogate the existing approach to understand academic achievement in the mainstream educational psychology. The paper explores the persistent question of "why academic achievement gap" in the modern society from the cultural ecological and postformalist framework of John Ogbu and Joe Kincheloe respectively. As mainstream educational psychology limits its scope in the narrowed individualistic lens, paper suggests that dominant identity based curriculum, pedagogy and knowledge may concretize the psychological categories unless revolutionary efforts are made to transcend the boundaries. Thus, paper adopts critical interdisciplinary framework, rejecting positivistic metatheory as an only relevant approach in educational psychology. 2016, De Gruyter Open Ltd. All rights reserved. -
Post-formalist explanation of academic achievement: Exploring the contribution of John Ogbu and Joe Kincheloe
The present paper attempts to interrogate the existing approach to understand academic achievement in the mainstream educational psychology. The paper explores the persistent question of "why academic achievement gap" in the modern society from the cultural ecological and postformalist framework of John Ogbu and Joe Kincheloe respectively. As mainstream educational psychology limits its scope in the narrowed individualistic lens, paper suggests that dominant identity based curriculum, pedagogy and knowledge may concretize the psychological categories unless revolutionary efforts are made to transcend the boundaries. Thus, paper adopts critical interdisciplinary framework, rejecting positivistic metatheory as an only relevant approach in educational psychology. -
The social representations of academic achievement and failure
This study tried to explore the ways in which the construct of academic achievement and failure is conceptualized and represented among different social categories based on educational roles. It was indicated that social representations of academic achievement and failure function in broader social contexts. Findings also suggested that academic achievement and failure are not the antinomies and have multidimensional aspects which collaborate and have greater bearing on the future social outcomes. National Academy of Psychology (NAOP) India 2015. -
The illusion of social class identity and academic performance: Exploring the role of father education as an indicator of socioeconomic status
The academic achievement of low social class students has been attributed to lack of ability and their socioeconomic Status (SES). However, a recent meta-analysis reported decreasing relationship between SES and academic achievement in the U.S. population (Sirin, 2005). The present study attempted to explore the relationship between social class identity processes and academic performance in an Indian context. The study took students' self report on all indicators of SES and separated high and low social class students on the basis of their fathers' education. The result showed that social class based identity process has less important role in explaining the existing academic achievement gap. Thus the need arises to explore other identities that may collaborate with the social class identity in an educational domain. -
Efficacy of Artificial Neural Networks (ANN) as a Tool for Predictive Analytics
Predictive analytics could also be defined as the application of statistical techniques and mathematical modeling to anticipate the future performance and expected return on investments. Predictive analytics examines the most recent and the historical data to see if the same pattern is likely to reoccur or not. This gives an opportunity to businessmen and financial investors to make an appropriate decision about their investments and expected returns. Ever since the development of ANN technique, researchers have tried to create a number of predictive models using ANN. The chapter is focused on defining predictive analytics and the tools used in predictive analytics, with a special orientation on Artificial Neural Networks. The objective of the chapter is to establish ANN as an effective technique for making appropriate predictions and thereby contributing toward the decision-making in various spheres using the outcomes from various researches. The chapter also aims to explain the step-by-step process of ANN in outcome prediction with the help of example. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023. -
Decoding the alchemy of employee retention: A case of the manufacturing sector of the National Capital Region, India
The ability of a company to retain its staff is referred to as employee retention. It may also be referred to as a decrease in employee attrition or employee turnover rate. Employee retention is one such mechanism which ensures that the human capital stays with the organisation for a longer duration. The study focusses on identifying the drivers of employee retention in the manufacturing industry with respect to certain factors such as mentoring, career development, work environment, job autonomy, and compensation. This research has used the descriptive research design with some elements of exploratory research design. The sample size for the study was 122. Primary data has been collected with the help of a prevalidated questionnaire with multiple-choice closed-ended questions on a five-point Likert scale. The collected data was analysed using Excel and SPSS with statistical tools like T-test, ANOVA, multiple linear regression, etc. A direct positive relation has been found between mentoring, work environment and compensation, and the employees' intention to stay. 2024, IGI Global. -
OTT Enchantment: Decoding the Secret of Millennials Subscription Intentions
This study explores the factors that affect intention and choices of millennials for subscription of Over-The-Top (OTT) platforms. The study involved a mixed-methods approach, involving exploratory and descriptive design. The outcome of the study showed that there is a profound impact of demographic variables on the subscription intention. Results also indicated that factors like convenient navigation, information seeking, and bingewatching impacted respondents attitudes towards purchasing OTT subscriptions. Moreover, factors like relaxation and voyeurism impacted respondents attitudes towards continuing OTT subscriptions. The research findings will be helpful for OTT companies to implement new distribution strategies with mobile operators to launch novel services like mobile-only packs and sachet pricing and thereby increase their user base. The study contributes significantly in understanding the viewership and subscription patterns of millennials. The study is exclusively an original contribution of the authors. 2024, Econjournals. All rights reserved. -
EMPLOYEE ENGAGEMENT: ANTECEDENTS AND CONSEQUENCES
Employee engagement is the emotional connection and dedication that employees feel towards their organisation. It is a term used to describe how dedicated, enthusiastic and involved employees are towards/with their job and the organisation they work for. Antecedents are the variables that influence and contribute towards employee engagement, while consequences are the outcomes linked with employee engagement. Attrition of intellectual capital, disengagement with work, issues of conflict with students, lack of job satisfaction, etc. in the centres of higher education are becoming a burgeoning problem and constructive employee engagement is seen as the solution to these issues. The present study aims to examine the factors responsible for employee engagement as well as the outcomes that are derived due to effective implementation of employee-engagement practices. Data has been collected from 117 faculty members of higher-education institutions from South India using simple random sampling. Data has been analysed with the help of Excel, SPSS and AMOS, using statistical tools like T-test, ANOVA and SEM. The proposed model reflects strong positive association between antecedent variables like autonomy, rewards and recognitions, and fair and equitable treatment and employee engagement, and job satisfaction, organisational commitment and intention to stay as the outcomes of employee engagement. 2024 Published by Faculty of Engineering. -
AI Sovereignty in Autonomous Driving: Exploring Needs and Possibilities for Overcoming Challenges
With the development of artificial intelligence, advancements in navigation systems for self-driving cars have become a new direction over the last decade. The inclusion of AI-driven actuators in autonomous vehicles has broken the barriers in terms of real-time high-quality data processing resources, accuracy of decisive actions and generalization of environment-action pairs. Upgradation from a car with no automation to a car with minimal to no human intervention has become a boon of AI, as it resolves most of the transportation problems on roads, including human error, lack of visibility in adverse weather conditions, tiredness of drivers in long journeys, etc. This study focuses on AI-enabled tasks, including object detection and identification, lane detection, notification for lane departure and reinforcement learning from the operational environment. However, there exist serious issues in deploying AI-empowered modules in autonomous cars, as the consumer rights to explain, trustworthiness, and reliability of the machine have not yet met the requirements. Our work explores the needs and prospects of AI sovereignty in autonomous driving by overcoming the aforementioned issues so that the healthy progress of technological society can take care of the future world. 2023 IEEE. -
Improving service quality and customer engagement with marketing intelligence
To succeed, businesses must keep up with the ever-changing technological landscape and constantly introduce new advancements. The rise of digitalization has wholly transformed how companies interact with their customers, presenting both opportunities and challenges. Marketing professionals are inundated with data and need guidance on leveraging it effectively to craft successful marketing strategies. Additionally, the ethical and privacy concerns surrounding the collection and use of customer data make the marketing landscape even more complex. Improving Service Quality and Customer Engagement With Marketing Intelligence is a groundbreaking book that offers a comprehensive solution to these challenges. This book is a must-read for marketing professionals, business owners, and students, providing a practical guide to navigating the digital age. It explores the impact of digitalization on marketing practices. It offers insights into customer behavior, equipping readers with the knowledge and skills needed to thrive in today's competitive market. The book's interdisciplinary approach integrates insights from marketing, technology, data science, and ethics, giving readers a holistic understanding of marketing intelligence. With its timely and practical approach, Improving Service Quality and Customer Engagement With Marketing Intelligence is a valuable resource for anyone seeking to enhance their marketing efforts in the digital age. It features best practices, case studies, and step-by-step guides, empowering readers to make informed decisions prioritizing customer satisfaction and engagement. Reading this book will help you stay ahead of the curve and drive success in today's dynamic marketing landscape by bridging the gap between academia and industry. 2024 by IGI Global. All rights reserved. -
Future of customer engagement through marketing intelligence
In the competitive world of contemporary business, the challenge of developing marketing strategies that bridge the gap between traditional and innovative techniques has become more critical than ever. As marketing shifts between physical and digital realms, companies grapple with the central question of how to navigate this evolution successfully. The key lies in data - the linchpin that can unravel vital problems in modern marketing. The need for sustainable and effective marketing strategies permeates all sectors, emphasizing the urgency for businesses to combine traditional methods with innovative approaches, such as harnessing alternative data and leveraging AI-based solutions. Future of Customer Engagement Through Marketing Intelligence emerges as a compelling solution to the pressing challenges faced by businesses in this transformative landscape. It offers a step-by-step roadmap, guiding readers on how market intelligence can utilize data and transform it into actionable insights. By emphasizing the crucial role of data in crafting great marketing strategies, the book advocates for a deep understanding of market-supported content and factual data. It asserts that marketing intelligence, encompassing data collection, analysis, and strategic utilization, is the key to becoming customer-centric, understanding market demands, and gaining a competitive advantage. Designed with a comprehensive and practical approach, the book's objectives align with addressing the emerging trends and challenges in customer engagement driven by marketing intelligence. It caters to a diverse audience, including marketing professionals, data analysts, business leaders, academics, researchers, consultants, technology developers, and policymakers. By delving into various topics, from AI-driven customer experiences to the application of advanced technologies like text mining and blockchain, the book serves as a valuable resource for navigating the evolving landscape of customer engagement and marketing intelligence. Ultimately, it stands as a beacon, illuminating the path toward sustainable and responsible customer engagement strategies in the ever-evolving world of marketing. 2024 by IGI Global. All rights reserved. -
AI Based Technologies for Digital and Banking Fraud During Covid-19
The only viral thing today is the Covid 19 virus, which has severely disrupted all the economic activity around globe because of which all the businesses are experiencing irrespective of its domain or country of origin. One such major paradigm shift is contactless business, which has increased digital transaction. This in turn has given hackers and fraudsters a lot of space to perform digital scams line phishing, spurious links, malware downloads etc. These frauds have become undesirable part of increased digital transactions, which needs immediate attention and eradication from the system with instant results. In this pandemic situation where, social distancing is key to restrict the spread of the virus, digital payments are the safest and most appropriate payment method, and it needs to be safe and secure for both the parties. Artificial intelligence can be a saviour in this situation, which can help combat the digital frauds. The present study will focus on the different kinds of frauds which customers and facing, and most possible ways Artificial intelligence can be incorporated to identify and eliminate such kind of frauds to make digital payments more secure. Findings of the study suggest that inclusion of AI did bring a change in the business environment. AI used for entertainment has become an essential part in business. Transfiguration from process to platform focused business. The primary requirement of AI is to study the customer experience and how to give a better response for improving the satisfaction. But recently AIs are used not only for customer support, but its been observed that businesses have taken it as marketing strategy to increase demand and sales. 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. -
Energy-efficient smart cities with green internet of things
With governments of different countries having a vision of smart cities, the technology adoption and implementation are at its peak and the current increase in the usage of advanced technology for a smart city has led to an increase in the carbon imprint across the globe, which needs immediate attention for the environment sustainability. Although the Internet of things (IoT)-enabled devices have changed our world by bringing an ease to our lifestyle, it has to be kept under consideration that they also have adverse effects on the environment. Over the past few years, enabling energy conservation via Internet of Things in the growth of smart cities has received a great deal of attention from researchers and industry experts and has paved the way for an emerging field called the green IoT. There are different dimensions of IoT, in which an effective energy consumption is needed to encourage a sustainable environment. This conceptual paper focuses on the key concept of green IoT and sustainability, knowledge of Smart cities' readiness to Green IoT (G-IoT)-enabled sustainable practices, and identifying the Green IoT sustainability practices for smart cities. The Author(s), under exclusive license to Springer Nature Switzerland AG 2021. All rights reserved. -
Factors Affecting Digital Visibility of Small and Medium Enterprises in India
This study sketches the importance of social media, integrated marketing communication, social customer relationship management and its transformation in the small and medium enterprises (SME). These factors can increase interaction and communication of SMEs with its customers. This study incorporates empirical method to elaborate how SMEs can increase visibility and reachability by gaining value through the usage of social media. Findings of the study highlight the challenges faced by SMEs with respect to visibility, examines the usage of different digital platforms by Indian SMEs which can resolve these difficulties and its impact on the business for improved visibility of SMEs when competition is hitting hard on all businesses. 2021 Management Development Institute.