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Enhancing Employee Onboarding Through Digital Twin Technology
Digital twins and their transformative technology have simplified corporate processes while establishing secure and data-driven environments for customized expertise enhancement, workflow optimization, and scenario building. This chapter assesses the impact of digital twins on job design and human resource (HR) practices in developing new and more productive human-focused workplaces. Traditional or old-fashioned onboarding practices are not customizable or flexible and do not give real-time feedback, which creates negative workplace experiences and higher turnover levels. Digital transformation (DT) techniques suggest using digital twins for interactive, customized onboarding solutions to engage and retain employees better. Research indicates that digital twins have effects fundamentally altering HR practices by providing adaptive approaches in real time, cost-free scenario testing, and prediction analytics on employee retention. They help in monitoring workload, preventing burn-out, and customize approaches to enhance individual well-being. Most importantly, they predict career paths and determine training needs; hence, they are good at improving talent development. Successful implementation, however, is dependent on resolving challenges such as data privacy, model accuracy, system interoperability, and bias in artificial intelligence (AI). Applications of digital twin technology (DTT) in onboarding are numerous and important in real life concerning the retention, productivity, and attrition levels of employees. Real-time and predictive data can allow proactive improvement in onboarding and the happiness levels of workers as well as overall company performance results. 2026 Channi Sachdeva, Veena Grover, Balamurugan Balusamy, Veer P. Gangwar, and Pardeep Kumar. -
Feminist Mobilization and Digital Feminism: Reading the Role of Digital Spaces as Catalysts for Feminist Action and Social Change
In the dynamic and evolving digital landscape, digital platforms and social media have had a transformative impact on feminist activism, representa-tion, and women's interactions in digital spaces. These digital technologies provide a space for self-expression, representation, and offer unparalleled opportunities for women's emancipation and change. However, there is also a rise of online harassment, which presents a counterbalance to these advancements. The study explores the ways in which women explore and engage with, and are affected by, digital platforms, social media, and tech-nology in the spheres of activism, visibility, and online harassment. These digital spaces and online communities make personal experiences more public and create spaces for a variety of voices to coexist which can be seen as promoting gender sustainable perspectives which integrates an ecosystem where women's emancipation and well-being thrive together. This study seeks to unravel the interplay between digital platforms, feminism, and women's collective experiences in online spaces, offering a nuanced under-standing of the challenges and a source of sustainable opportunities posed by technology in contemporary feminist discourse. In addition, the study aims to highlight the transformative potential of digital technologies for women's empowerment, visibility, and activism and create communities for change. By examining women's sustainable engagement with digital platforms in an Indian context through social media such as Instagram, the study contributes to a deeper comprehension of how technology shapes feminist activism, self-representation, and the broader feminist movement in the digital age. 2026 Dhishna Pannikot. All rights reserved. -
Ethical AI in HR: Navigating the Data-driven Frontier
The integration of artificial intelligence (AI) in human resources (HRs) presents significant opportunities while raising ethical dilemmas for an organisation. This chapter examines challenges in AI-enhanced HR concerning bias mitigation, data protection, transparency and governance through literature review, and real-life examples. Through a mixture of academic research and industry use cases including Amazon's AI hiring tool, HireVue video interview analysis, IBM Watson Career Coach and Unilever recruitment powered through AI study analyses AI impact on HR functions and approaches to address ethical concerns. This research offers an advanced methodological framework for ethical implementation of AI in HR which is based upon eight foundational components including interdisciplinary collaboration, bias minimisation, transparency and explainability, ethics-based privacy policies governance, continuous monitoring improving engagement with stakeholders, and adaptive trust-enhancing policy. The model weights a set of quantitative suggestion, new metrics such as Team Integration Score (TIS) for assessing cross-functional relationship success. Synthesis of multiple academic sources and case studies mentioned the chapter plan on responsible AI implementation in HR through stakeholder engagement, transparency practices, and review mechanisms. This approach balances technological advancement and ethical considerations within AI-driven HR processes. The significance of this chapter is to bring together academic sources and experts from the industry to provide a complete guide of integrating global best practices for implementing ethical AI. The proposed framework serves as a valuable tool for HR AI practitioners and researchers offering a structured approach to the ethical AI deployment while remaining adaptable to emerging challenges and opportunities in this rapidly growing area. 2026 by A.R. Deepti, B. Manimekala, Farzeen Basith, Vivek K. and Vijayanandh Rajamanickam. All rights reserved. -
Political Empowerment via Social Media? Following Political Influencers, Internal Political Efficacy, and Participation Among Youth
As the generations are moving ahead, do political leaders need to have an active presence on social platforms? The purpose of the study is to examine the impact of the online presence of politics on youth and whether there is any impact of online presence on national political efficacy. The study relies on secondary data collected from the extensive literature of scholarly articles to check the influence of social presence and its impact on the current generation. The findings of the study have revealed that social media has a significant influence on shaping ones opinion, regardless of age, and harnessing the social presence can be utilized as a proper tool to influence social opinion polls, and the study underscores the importance of digital engagement by political leaders. A strong, authentic presence on social media could serve not just for image building but for actively shaping public discourse and enhancing democratic participation, especially among younger demographics. While many studies explore political communication, this work situates itself uniquely in the digital-native context, focusing on evolving generational expectations of political visibility online. 2026 The authors. -
Does Political Marketing Require Customer Value? Conceptualization, Dimensions, and Research Agenda
The Purpose of the Study is to examine the Political Marketing (PM) with regard to its Different Conceptualizations and Dimensions toward the Customer Value. Through an extensive literature review, the study has drawn meaning and dimensions of PM, and based on the literature, the study was able to conceptualize the meaning of Customer Value in the realm of PM. The study was able to address that PM in developing economies, as suggested in this paper, may be constrained by secrecy, lack of secondary data, and the relevance of this study depended on the leaders appearance and constant presence in social forums. Conceptualization and dimensions of the study are dependent on the executive social presence-based studies that have been incorporated for the study. Future studies can move forward and use an empirical design in which a leader serves as a stimulator to drive engagement. In conclusion, the study offers practical recommendations for researchers and practitioners, underlining the need for empirical validation and the creation of frameworks sensitive to contextual differences. Future inquiries, including longitudinal and cross-cultural studies, are recommended to further clarify the role of customer value in the evolving landscape of PM. 2026 The authors. -
Augmented Realities: Unlocking Consumer Engagement and Brand Advocacy Through Comprehensive AR Strategies
Augmented reality (AR) is an emerging concept having an impact on a wide range of industries, including marketing, business, tourism, gaming, human-computer interface, and manufacturing. Consumer engagement and brand advocacy are critical goals for companies looking to build long-lasting relationships with their target consumers in today's digitally driven environment. In this environment of shifting consumer preferences and technology breakthroughs, AR has become a potent instrument for revolutionizing the way brands communicate with their customers. AR presents exceptional chances to captivate audiences, enhance experiences, and foster brand loyalty like never before by seamlessly integrating virtual aspects with the real world. This study has used extensive review of relevant literature of the past nine years from 2016 to 2024. By creating close connections and evoking intense emotions in customers, AR acts as a catalyst to promote brand advocacy. It is important for scholars and AR managers to keep an eye on the most recent developments in AR. One of the most exciting uses of AR is the capability to virtually test things before making a purchase. This book chapter shall cover an exhaustive list of AR attributes' benefits, values, and their interconnections and significance. Thus, managers can design appropriate AR strategies by using these identified characteristics and benefits. According to past studies, consumer engagement is a critical factor influencing sales, profits, customer satisfaction, and loyalty. 2025 by Gajalakshmi N. S. and Seranmadevi R. All rights reserved. -
Blockchain-based Framework: Robust Retail Supply Chain System
Effective supply chain management (SCM) is vital to the operations of an organization survival in the fast-paced, globalized modern business environment. The decentralized, immutable ledger system provided by blockchain technology, an invention, improves supply chains visibility, efficiency, and traceability. Blockchain tackles major issues like fraud, inefficiency, and lack of transparency by doing away with middlemen and enabling transparent, real-time data access. This technology is being used more and more in a variety of industries, such as retail, healthcare, and finance. It revolutionizes operations by enhancing automation, security, and traceability. Notwithstanding its potential, the wider ramifications of blockchain technology are still poorly understood, which calls for a thorough analysis of its efficiency and applicability in supply chains. The design of blockchain, its incorporation into the supply chain, and its effects on different industries are all covered in this chapter. It discusses the difficulties in implementing blockchain technology and highlights how blockchain might improve supply chain operations. The blockchains potential to enhance decision-making, lower costs, and boost customer happiness is covered in detail. A thorough examination of blockchains potential and recommendations for future research provide insightful information for academics and businesspeople who want to fully utilize this game-changing technology. 2025 by Nishant Kumar, Kamal Upreti, Prajwal Deore, Shubham Rajendra Ekatpure, Vishakha Kuwar and Divya Gangwar. -
Navigating Digital Transformation: The Role of Technology in HRM Efficiency and Effectiveness
Technology has grown increasingly common in contemporary workplaces, helping to improve the efficiency and efficacy of Human Resource Management (HRM) processes. The purpose of this research is to investigate the ever-changing role of technology in HRM, especially its impact on organizational efficiency and effectiveness. The goal of this study is to look at the usage of artificial intelligence (AI) and automation in human resources (HR) activities in order to identify the possible advantages and obstacles of incorporating technology. Furthermore, the goal is to identify the best techniques for using technology to improve HR operations and decision-making processes. The goal of this research is to highlight the importance of HR analytics in allowing data-driven decision-making and improving organizational performance by a thorough examination of current literature and empirical data. Furthermore, this study investigates the practical implications and empirical examples of technology integration in the field of HRM, focusing on its influence on both organizational success and employee engagement. To leverage the benefits of technology-driven HRM practices, the passage highlights the need of aligning HR strategy with organizational goals and cultivating a data-driven culture. This study adds to the current literature by giving valuable insights into the changing environment of HRM in the digital age. It also advises professionals and academics on how to utilize technology most effectively in order to achieve organizational success. 2025 by Dr Sofia Khan and Dr Kartikeya Singh. All rights reserved. -
Can generative AI serve as the modern-day white-collar knowledge laborer?
Purpose: There has been a growing debate on whether generative AI can serve as the modern-day equivalent of white-collar knowledge workers. In a recent post, technology magnate Bill Gates boldly proclaimed that ChatGPT would soon become the quintessential white-collar worker of tomorrow (Dean, 2023). This is indeed an exciting prospect, as generative AI advances at breakneck speed. Need for the Study: This research delves upon the implications of such advancements for industries reliant on skilled employees. It raises questions about how these individuals will adjust their skillset going forward, given the proliferation of generative AI solutions poised to disrupt traditional roles previously occupied by humans. Methodology: The study uses an exploratory framework to understand AI's implications on job roles, productivity, and skill requirements. It introduces generative AI and its relevance, focusing on how it could transform whitecollar jobs. Findings: One thing seems clear: its impact on future employment opportunities. However, this technology still has limitations, potentially leading to unintended consequences. While capable of performing certain functions precisely and accurately, it cannot fully replace the reasoning abilities or cognitive flexibility innate in human workers tasked with knowledge-based work. Practical Implications: The potential implications for workforce development, policy-making, and future research in AI and labor economics are highlighted. This will also help gain insights into the integration process, benefits, challenges, and the changing nature of white-collar work due to generative AI. 2025 by Ram B. Ramachandran and Chabi Gupta. All rights reserved. -
Mimicking technology in creating and optimising marketing value, customer experience, retention and loyalty
Marketing has evolved from 1.0 to 5.0, which emphasises the utilisation of technologies that mimic human behaviour to generate, convey, distribute and improve value throughout the customer experience. The primary technologies employed in Marketing 5.0 include Artificial Intelligence (AI), Natural Language Processing (NLP), mixed reality (MR, which encompasses augmented reality [AR] and virtual reality [VR]), Sensors and Robotics, Internet of Things (IoT) and blockchain. In today's technologically learnt marketplace, these technologies support firms to imitate the human interaction with customers. Technology plays a crucial role in enhancing marketing results and aids in various aspects. This chapter delves into the conceptual grasp of integrating technology into the realm of marketing, a concept coined by Philip Kotler as 'Marketing 5.0'. Additionally, it incorporates an in-depth review of the existing literature on the diverse tools and strategies employed by various organisations to navigate the ever-evolving and fiercely competitive marketplace. Furthermore, this section will be expanded to include real-world cases of both successes and failures, with thorough explanations, pertaining to the human-centric technological approaches embraced by firms. This chapter also includes a proposed model to understand the impact of usage of such technologies by marketers on the prospective customers and consumers. The outcomes of the research carry both theoretical implications for academicians and the managerial implications for marketers to incorporate mimicking technology for customer experience, loyalty and retention. 2025 Kiran Vazirani and Sunanda Vincent Jaiwant. All rights reserved. -
Consumer decision-making journey and the role of AI-enabled mimic technology and social robots
AI is essential for optimising the customer journey since it customises interactions at every stage of the process. Companies can predict consumer patterns and prepare for demands with the help of predictive analytics. Mimicking technology can significantly affect the way customers feel, practices and beliefs, which in turn can affect how they make choices. Social networking platforms, for example, employ mimic technology to follow users' online habits and recommend content according to what they are likely to find interesting. Furthermore, mimic technology can be used to create immersive shopping experiences that influence consumers' emotions and purchasing decisions. Consumers might be able to interact with virtual organisations, try on clothes and assess goods thanks to virtual reality and augmented reality. As a result, consumers could become more confident when making buying decisions, increasing the possibility that they will buy something. Understanding how mimic technology works can help businesses create better consumer-friendly goods and services as well as more successful marketing initiatives. This chapter would present a systematic review of the evolution of decision-making process and the role of social robots and mimicking technology. This chapter would explore the most novel and trending advances in AI-based mimicking technology fluxing the consumer buying decisions. Additionally, the study would describe the existing challenges of software architecture of AI-enabled mimicking technologies and social robots. Finally, the study would present the future directions that these systems can take in the future. 2025 Sunanda Vincent Jaiwant, Ajitha Haridasan and Dheepa T. All rights reserved. -
Cultivating wellness: Synergy of emerging technologies in spiritual and wellness tourism
This academic analysis explores the dynamic landscape of wellness tourism from 1998 to September 2021, emphasizing the surge in scholarly publications post-2010, primarily contributed by the United States. Key findings identify major authors, significant papers, and evolving trends while acknowledging research limitations and offering recommendations. Additionally, the 2022 study highlights 10 pivotal elements enriching holistic health resorts, coupled with strategic marketing and DMO influence. A comprehensive review utilizing the PRISMA methodology reveals two significant research clusters, focusing on tourist motivations and behavior, anticipating post-pandemic research and the need for diverse data sources. Wellness tourism embodies dynamism and diversity, driven by an ever-growing yearning for well-being, relaxation, and self-care. Travelers can choose from a broad spectrum of dimensions and destinations to personalize their wellness journeys according to their unique aspirations and goals, making it an exceptionally adaptable and customized form of travel. The industry's trajectory is set for continued expansion and transformation as more individuals acknowledge the paramount importance of nurturing their holistic well-being. However, a notable research gap is identified: the incorporation of cutting-edge technologies like wearable technology, virtual reality, and artificial intelligence in wellness tourism remains underexplored. This study addresses this void by investigating the utilization of technology to craft personalized and immersive wellness experiences, its impact on traveler preferences and behavior, and its role in destination management and marketing strategies. Recognizing technology's pivotal role in wellness tourism, this study seeks to bridge the gap between traditional wellness practices and contemporary technological advancements, fostering a holistic approach to well-being in the modern era. 2025 Anand Patil, M.S. Prathibha Raj, R. Gowri Shankar and R.B. Lakshmi. All rights reserved. -
Digital Revolution: Transforming the Tourism Business Landscape Post-Pandemic
Over the past decade, Indias travel and tourism sector has experienced consistent growth in terms of the volume of inbound, outbound, and domestic travelers. The COVID-19 pandemic in 2020 precipitated an economic downturn in the worldwide tourism industry. The tourism and hospitality industry encountered an unparalleled and unfavorable situation as a result of the governments implementation of travel restrictions and stringent quarantine regulations. Both leisure and business travelers were forced to cancel or delay their travel plans, which led to significant penalties for making last-minute changes to their reservations. Destinations around the globe have implemented unique strategies and elements to enhance their resilience in the aftermath of the pandemic. While a significant number of travel agents and tour operators incurred substantial financial losses, a select few recognized this situation as an opportunity and introduced a range of inventive products, along with implementing innovative marketing and promotion strategies. Quarantine stays, Untact Tourism, and Virtual Tourism are neologisms that have gained popularity in the aftermath of the pandemic. Travel businesses have integrated technology and proved to be digitally adaptive business entities. The objective of this study is to comprehend and assess the technology-embedded recovery strategies implemented by the tourism industry in the state of Kerala, located in South India, following the pandemic. The study conducted comprehensive interviews with distinguished travel and hospitality experts from the state. The collected data were utilized to analyze the repercussions of the pandemic on the travel industry in the state, as well as to evaluate the efficacy of the measures implemented by businesses after the pandemic in terms of generating revenue and rebuilding the reputation of the destination. An in-depth examination of the tourism and hospitality websites has proven valuable in comprehending the marketing tactics employed by the companies amidst the COVID-19 pandemic. The studys findings can aid stakeholders in the tourism industry in devising effective measures to endure a pandemic by implementing innovative and creative product development and crisis management strategies. 2026 World Scientific Publishing Europe Ltd. All rights reserved. -
Consumers Online Shopping Behaviour: A Post-COVID-19 Analysis in India
The global outbreak of the novel coronavirus disease (COVID-19) has changed the daily lives of citizens across the globe. As the world begins its slow transition from managing the COVID-19 alamity to recovery and the reopening of economies, its clear that the period of lockdown has had a reflective impact on how people live and how they will continue to lead their lifestyles. The OVID-19 outbreak is not only a health crisis but also one that has invaded our societies and economies. This period will certainly change consumer behaviour in the coming years. However, it is expected that certain behaviours may return to normal after such calamities; nonetheless, since consumers have discovered some new alternatives during this period, they may have changed consumer behaviour. Hence, this study is an attempt to analyze the impact of the COVID-19 pandemic on the Indian economy and the modified behaviour of consumers towards the e-commerce sector in India during this pandemic-induced digitalization. 2025 by World Scientific Publishing Co. Pte. Ltd. All rights reserved. -
Role of Antibiotics in Animal Feed: Prospects and Future Challenges
Antibiotics were discovered more than 50 years ago and are now commonly employed in cattle and poultry production to prevent animal illnesses and increase livestock productivity. They were quickly embraced as an integral part of livestock feeding programs after their benefits were recognized. To meet the increasing demand for animal protein for human consumption, antibiotics in animal feed are also highly sought after because they enhance the quality and quantity of meat as well as growth efficiency. Antibiotic overuse, however, has led to the emergence of resistant strains and presented health risks to people. The most significant negative impact of antibiotic residues entering the food chain has been the spread of antibiotic-resistant organisms to humans due to the transportable nature of resistance. Because of these drawbacks, there are many alternate strategies suggested for combating resistance. These include vaccines, bacteriocins, antimicrobial peptides, and phage therapy, to name a few. Even though they are not yet as effective as antibiotics, they can be utilized in preventive and management strategies. Overall, the combination of suggested alternative interventions with limited antibiotic use appears to be promising in combating antimicrobial resistance. In general, antibiotic usage in animal foods should be regulated because of these adverse repercussions, along with a need to concentrate on improving animal nutrition and the production of high-quality animal products. 2026 selection and editorial matter, Arti Gupta and Ram Prasad; individual chapters, the contributors. -
E-Learning Recommender System for Deaf and Hard of Hearing Learners
People with disabilities, including deaf and hard of hearing (DHH), face numerous resources online and need support to choose the right learning materials according to their preferences in communication and learning style. Content recommendation engines may help the DHH learners by suggesting the best possible matching resources to find out the suitable learning materials according to the preferences of learners. Content recommenders that use tag-based clustering techniques reduce the search space by filtering learning objects that match users search keywords at the first level and then present the learning objects with the specified accessibility preferences in terms of communication and learning style in the next level. This chapter presents a detailed study focusing on the tag-based content recommender systems in the e-Learning domain that support learners with sensory impairment, especially DHH learners. 2025 selection and editorial matter, Urmila Shrawankar and Prerna Mishra; individual chapters, the contributors. -
An Application of Improved Support Vector Machine Classifier for the Study of Breast Cancer Detection
Breast cancer is known to be a major global health challenge, necessitating effective early detection strategies to improve patient outcomes and reduce mortality rates. This research focuses on the application of machine learning algorithms for the detection of breast cancer. The dataset considered includes a wide array of features extracted from breast tissue samples, enabling the evaluation of five different machine learning algorithms. These algorithms were chosen for their proven efficacy in medical diagnostics and their potential to complement traditional diagnostic methods. Among the algorithms evaluated, the support vector machine (SVM) emerged as particularly noteworthy, achieving an impressive accuracy rate of 98.27%. SVM demonstrated robust capabilities in accurately categorising breast cancer cases, effectively distinguishing between benign and malignant tumours with high precision. This underscores SVMs potential as a valuable tool for enhancing breast cancer detection accuracy, thereby aiding clinicians in making informed decisions. Furthermore, this research highlights the importance of leveraging large-scale datasets like WBCD to train machine learning models effectively. Such datasets provide a comprehensive set of features that enable algorithms to discern complex patterns and correlations, which may not be apparent through conventional methods alone. This data-driven approach not only enhances diagnostic accuracy but also lays the groundwork for personalised medicine approaches tailored to individual patient profiles. To summarise, the following study emphasises the transformative role of machine learning in oncology, specifically in early breast cancer detection. Continued research and validation of these algorithms across diverse datasets will be crucial in further improving their effectiveness and applicability in real-world healthcare settings, ultimately benefiting patients globally. 2026 selection and editorial matter, Ravichander Janapati, Usha Desai, Steven Fernandes, Rakesh Sengupta, Shubham Tayal; individual chapters, the contributors. -
Data- Driven Insights for Decision- Making in the Stock Market by Using Meta- Analyses
The stock market structure is complex, dynamic, and continually evolving. This makes it harder for investors to make smart decisions. Using data-driven insights to inform investment decisions has become increasingly prevalent in recent years. This research study focused on two main parameters: investors behavioral biases and initial public offering (IPO) pricing. Forty-five past studies from 2010 to 2022 were analyzed using meta-analyses. The study initially delves into the difficulties investors face in choosing suitable stock market investments. It then covers the various types of data that are available to investors. The paper proceeds to examine the techniques for analyzing stock market data. Finally, the article concludes by discussing the advantages of implementing data-based insights in investment decision-making. 2025 CRC Press.