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Greening the click-environmental initiatives in global e-commerce marketing
Convenience and accessibility are the features that drive today's consumers flocking to the retail market. This has given rise to widespread environmental impacts implying that the green concept includes sustainable strategic protocols committed to ethical consumerism and corporate social responsibility. The key operative word is sustainability in all aspects of business from design to delivery. An effective component of strategy is innovation, coupled with transparency. Education of the customers on environmental issues ensures their loyalty and enhances brand image. A Nielson report testifies that consumers are attracted more to products from companies behaving like good corporate citizens providing them with competitive advantages and leading to cost savings. Moreover, positive engagement in legal requirements keeps it ahead of risks associated with environmental laws. Two considerations on strategies are projected upfront. One is Green Branding, meaning thereby a strong and positive association with environmental responsibility in the minds of the buyers, boosting brand loyalty. The other, being Eco-labeling, is a visible proof of environmental benefits. Eco-labels are certifications awarded from recognized organizations. 2025 Thomas K.V., Punam Rattan and Raji Ramakrishnan Nair. Published under exclusive licence by Emerald Publishing Limited. All rights reserved. -
Transforming Customer Relations: Emotional AI and Behavioural Insights as Strategic Enablers in the Automotive Industry
This research examines how emotional AI deepens customer relations within the American automotive industry and how behavioural insights (BLI) mediate this process. Underlying framework: In the automotive industry, prioritising customer needs is crucial. Using emotional AI that analyses emotions and behavioural patterns can contribute to customer loyalty and satisfaction. The research employs a quantitative survey research approach. The sample pool comprised 237 customer experience managers representing various automotive companies in Texas. Emotional AI, business intelligence (BI), and consumer research are assessed using survey questionnaires, and the responses are recorded electronically. Descriptive regression and correlation analysis methods are employed to understand the connections between emotional AI, BLI, and customer relations. Evidence: The survey results indicated a positive relationship between the developed emotional AI and BLI, highlighting aspects of customer relations, including satisfaction and trust levels. The researchs findings suggest that emotional AI and BI could be a strategic intervention for enhancing customer loyalty. 2026 Haitham M. Alzoubi and Shanmugan Joghee and 2026 The authors. -
Achieving Organisational Achievement via the Use of Al in Machine Management
Among the most effective ways of increasing the outcomes of the company, there is the application of Artificial Intelligence ( Al) in machine management. This study article focuses on the role of Al in improving the work of machines and decision-making as well as increasing the effectiveness of organisations. The focus of the study is to enhance the machine management efficiency in order to reduce the downtime, decrease the costs of operation and increase the productivity through the application of Al technologies such as automated systems, predictive maintenance and real-time data analysis. This study finds that the indicators of operational efficiency, product quality and labour safety are determined by a case study of various industries. This study has proposed that the integration of Al into machine management goes beyond being a technical adjustment; it is a shift in the culture and approach of organisations, human resource management (HRM) practices and operations. The real-time insights and predictive analysis of the market that is provided by Al can help in meeting the needs of the market that are ever-evolving while at the same time being efficient and innovative. This makes enterprises to have an edge over the competitors. The findings of the study are therefore a clear indication that in the ever evolving business environment, there is the need to embrace the use of Al to foster growth and development of organisations. 2025 Shiney Chib, Falguni Pawar, Shantanu S. Bose, Thirulogasundaram V.P., Prasanna H.N. and Lakshmi S.R. All rights reserved. -
The Role of Al in Customer Relationship Management for Tailored Financial Services
Much as the financial services industry is characterised by dynamism, Artificial Intelligence (Al) is gradually transforming the Customer Relationship Management (CRM). Among the AI-related advances is the advancement of bespoke financial services that increases involvement and experience of the customers. This chapter seeks to address the following research question: how has the incorporation of Al tools influenced the CRM strategies adopted by the industry? Newer, implementing Al in CRM systems, banks can go through terabytes of customers' information looking for more about each other's preferences, tendencies and needs. This information may therefore allow for financial services, proactive customer care and consumption point marketing based on segments of the population. Information on financial organisations' successful implementation of Al-based CRM systems is provided in the chapter; in addition, challenges and ethical issues regarding the use of these technologies are also described. The findings show how the use of Al can enhance CRM in the financial services sector resulting in satisfied and loyal customers alongside more organisation productivity. As for the maximisation of CRM results, the report also suggests that financial institutions must use Al appropriately while addressing the problems associated with the latter. 2025 Lakshmi S.R., Rajimol K.P., Y.K. Sunitha, Ajatashatru Samal, Priya R.P. and Srija H.R. All rights reserved. -
Strategising Algorithm: The Prospects and Perils of Artificial Intelligence (Al) in Criminal Justice Reformation
The criminal justice system relies significantly on human decision-making, with the parole system primarily responsible for addressing convicted criminals' rehabilitation. A paradigm change in prisoner rehabilitation and reintegration is underway with the introduction of artificial intelligence ( Al) into correctional institutions. A specific approach to alleviate the effects of human error is by utilising artificial intelligence to enhance human decision-making. Algorithms are being utilised in several jurisdictions to offer judges guidance on the appropriate type and level of punishment that should be imposed on convicted criminals. While human judgement has long played a crucial part in criminal justice systems, technological advancements are progressively augmenting the ability to make decisions. This paper examines the necessity of establishing broad restrictions on the application of algorithms in sentencing determinations. Critique plays a vital role in criminal sentencing; however, the implementation of algorithms in advisory capacities may compromise this significance. To uphold condemnatory sentencing, it is essential to recognise a principle of 'meaningful public control', which necessitates ethical accountability from representatives of the wider political community. This principle does not prohibit the use of algorithms; still it does impose restrictions on their implementation. The review posits that Al has the potential to improve fairness and efficiency in pretrial and jail systems within the criminal justice framework through the application of risk assessment software. The research envisages Al's potential to enhance the rehabilitative, compassionate, and effective aspects of the penal system, thereby facilitating societal reintegration and decreasing rates of recidivism. 2025 Sofia Khatun and Sivananda Kumar K. All rights reserved. -
Integrating artificial intelligence in Islamic financial management: Opportunities and challenges in maintaining Shariah compliance
The objective of this study is to examine the potential incorporation of Artificial Intelligence (AI) technology into financial management practices that are based on Islamic principles, with a particular emphasis on ensuring Shariah compliance. The literature analysis methodological approach is employed to identify the opportunities and challenges associated with the adoption of AI in the Islamic Finance (IF) environment. The results indicate that the implementation of AI can enhance the efficacy, transparency, and precision of IF operations. However, there are numerous challenges associated with Shariah compliance and ethics. The findings of this study emphasize the importance of establishing a regulatory framework that is consistent with Shariah principles in order to ensure the successful implementation of AI in Islamic financial institutions (IFI). The need for collaboration between finance experts and academics to ensure that the technology is implemented in accordance with Shariah principles, as well as the expansion of training for IF (Islamic Finance) practitioners regarding the implications of AI, are among the recommendations. Future research should examine the influence of more specific AI implementation strategies on Islamic conformance and operational efficacy in the context of IF. 2025 Early Ridho Kismawadi, Mohammad Irfan and Isnaini Harahap. All rights reserved. -
INTERNATIONALIZATION OF HIGHER EDUCATION: ENSURING EQUALITY AND SOCIETAL RESPONSIBILITY
Internationalization of higher education is an important initiative toward creating a society that promotes equity and reflects its social responsiveness. Given the education sector is changing globally, it is important for institutions to carefully manage the challenges that come with it and ensure that their international initiatives are beneficial for local and global communities. This chapter explores the interconnectedness between the internationalization of higher education, reducing inequality, and social responsibility and the role of internationalization of higher education institutions in achieving Sustainable Development Goal 10. Substantial evidence on the current issue was provided by a thematic analysis of interviews undertaken with experts in the field and development of a strategic framework. A number of suggestions have been provided to ensure equity remains at the center of higher education's effort in pursuit of reducing inequalities. 2025 The authors. -
Servant Teachers and Online Learning in Higher Education: A Narrative Enquiry into Experiences of Teachers During COVID-19 Outbreak
This research examines the lived experiences of servant teachers of higher education during the COVID-19 pandemic focusing on the use of technology and challenges within online teaching frameworks. It aims to fill the gaps in literature regarding the individual practitioner-servant leadership in digital education settings. Ethical considerations were rigorously maintained. This research adapted qualitative research approaches guided by the SL-7 scale to identify servant teachers and semi-structured interviews to capture their lived experiences. Data analysis employed interpretive phenomenological analysis (IPA) through Osborn and Smith's (2006) four stages of IPA. The analysis yielded seven core themes: engagement, technology, experiences, impact, well-being, performance, and policies. The study illuminates how pedagogical approaches need to be student-centered but were technologically constrained from a servant teacher's perspective, thus shedding light on the dynamics of servant leadership on supportive and nurturing pedagogies in education during emergencies. The research contributes to the discourse on leadership in digital education by emphasizing the value of servant leadership traits in enhancing student satisfaction, retention, and overall academic well-being. 2026 by Divya Dosaya, Anupama Sadasivan, Sonia David, Athira M. and Palak Pipalia. -
Educators in the Post-COVID Digital Era: An Enquiry Through the Transformational Leadership Lens
Amidst the changing conditions brought about by the pandemic, educators face diverse challenges and opportunities in integrating digital technologies into their teaching/learning practices. Transformational leadership among educators, characterized by vision, inspiration, individualized consideration, and intellectual stimulation, emerges as a crucial factor in guiding educators through this turbulent transition. This study explores the role of transformational leadership in facilitating educators' adaptation to the post-COVID digital era. Through a qualitative inquiry, employing semi-structured interviews, this research examines how transformational leadership styles inspire and support educators in embracing digital tools and pedagogies. By using reflexive thematic analysis, the study explores the interplay between transformational leadership and the usage of information and communication technology. The analysis will seek to uncover insights into the mechanisms driving educators' acceptance and adoption of digital technologies in the post-COVID educational landscape. The findings offer implications for educational leaders, policymakers, and practitioners aiming to foster effective technology integration strategies and enhance teaching and learning outcomes in the digital era. 2026 by Anupama Sadasivan, Divya Dosaya and Athira M. -
Natural processing language: Business strategy in marketing intelligence
Customer Perception (CP) plays a crucial role for linking business strategy to success, with companies using multichannel data like social media and surveys to gather valuable unstructured information. Accurate analysis of this data uncovers purchasing trends, product flaws, and customer interests, thus guiding product improvements and marketing strategies. This chapter highlights the importance of prioritizing pricing and product usefulness over aesthetic appeal in catalogues by understanding consumer behaviour, and leveraging multichannel marketing for global reach and cost-effectiveness. This chapter explores how Deep Learning and NLP technologies enhance data analysis, customer feedback capture, and marketing strategies along with emphasizing ethical considerations. It aims to provide insights into developing competitive, intelligent marketing strategies (IMS) focussing on CRM, ultimately guiding companies to navigate the evolving marketing landscape effectively. 2025 Kankhita Mukherjee, Sriram Ananthan, Raghunandan G. and Thirupathi Manickam. Published under exclusive licence by Emerald Publishing Limited. All rights reserved. -
Role of artificial intelligence in customer engagement and experience
Businesses in the ultramodern period of today concentrate on drawing in customers and changing to meet their wants. The digital revolution has altered customer engagement strategies for businesses, which has an effect on their lifespan. Businesses look for creative methods to improve customer experience in order to remain competitive. During the Industrial Revolution 4.0., artificial intelligence (AI) significantly changed customer management, and it continues to do so today, and will surely continue in future as well. This chapter analyzes the conceptual framework of customer engagement, industries strategies and ethical considerations, data safety and security, mitigating the bias of AI, customer interactions and customer journey, and how artificial intelligence rebuilds, enhances, and optimizes customer management in various industries. Featuring an emphasis on both present and future uses, this chapter investigates how AI might improve corporate offerings, services, and consumer interaction. This chapter delves at how perception analytics, chatbots, and personalized experiences may use AI to improve consumer engagement. It analyzes ethical issues including data privacy, transparency, and prejudice in AI-driven customer management, with an emphasis on fairness and trust. It also examines AI's role in anticipating what customers want and enhancing interactions. This study examines the use of AI to customer management, including obstacles and methods to improve company expansion through the use of pertinent data. This chapter presents an empirical case study on AI's challenges, opportunities, and future potential in customer management and business engagement. 2025 Shakti Swarupa Nayak, Himanshi R Giri, Thirupathi Manickam and Sriram Ananthan. Published under exclusive licence by Emerald Publishing Limited. All rights reserved. -
Enhancing customer satisfaction through artificial neural networks (ANNS): Principles, architectures, and practical applications
Artificial neural networks (ANNs) are a powerful paradigm in AI, inspired by the complex structure of the human brain. Their design mirrors biological neural networks that govern the human nervous system, allowing ANNs to excel in tasks from pattern recognition to decision-making. This chapter explores the foundational principles of ANNs, highlighting the interplay between neuroscience and computer science, where digital systems replicate or sometimes surpass human cognitive abilities. The study examines ANNs in various customer-focussed applications, where businesses can leverage ANNs to increase customer satisfaction by predicting and influencing consumer behaviour. This chapter provides an overview of the core principles, architectures, and broad applications of ANNs. It seeks to offer historical insights, understanding the evolution of ANNs and their mathematical foundations. The research explores the building blocks of neural networks, including neurons, layers, and activation functions, and their importance in pattern recognition and information processing. Special emphasis is given to popular architectures like feedforward, recurrent, and convolutional neural networks. ANNs' versatility is demonstrated through surveys of their applications in finance, robotics, and healthcare. This chapter addresses real-world challenges and potential solutions in these domains. This chapter serves as a valuable resource for researchers and practitioners interested in understanding ANNs, how they work, their development, and future advancements in the field. It discusses ANNs' impacts in finance, healthcare, and robotics, alongside ethical considerations. This original contribution provides fresh insights into ANNs, making it valuable for those exploring this emerging topic. 2025 Diva Kaur Grewal, Vanishree Senthilkumaran and Hridhya P. K.. Published under exclusive licence by Emerald Publishing Limited. All rights reserved. -
Frictionless shopping in the digital era: A comprehensive analysis of instant gratification, ethical considerations, and future prospects
This research chapter investigates the dynamic interplay between instant gratification and smart retailing, focussing on the transformative impact of frictionless shopping experiences. This chapter examines various channels, including omnichannel shopping, personalized recommendations, gamification, and rewards, highlighting their roles in bridging the gap between physical and digital realms. Additionally, it delves into the immersive world of virtual try-ons, analyzing their influence on immediate decision-making and customer satisfaction. This chapter also explores the intersection of instant gratification and smart retailing, emphasizing frictionless shopping's transformative impact. It examines ethical implications, envisions future frameworks, and anticipates enhanced consumer empowerment in evolving retail landscapes. This chapter employs a comprehensive literature review approach to analyze the existing body of knowledge on frictionless shopping, instant gratification, and smart retail technologies. This chapter highlights the transformative potential of smart retail, emphasizing ethical considerations. Anticipating enhanced consumer empowerment, it envisions a moral evolution in retail practices for immediate satisfaction. Informing retailers on ethical considerations, influencing policy development, and guiding the industry towards transparent, consumer-centric smart retail practices for sustainable growth and customer satisfaction. This chapter contains updated work from Frictionless shopping, Smart retailing, Instant gratification, and Ethical considerations. A comprehensive exploration of instant gratification's interplay with smart retailing, emphasizing ethical considerations and forecasting future frameworks to guide the evolving landscape towards responsible and transparent consumer-centric practices. 2025 Talasila Harshitha, Prathiba S., Narasimha Murthy H. and Joel Jebadurai Devapictahi. Published under exclusive licence by Emerald Publishing Limited. All rights reserved. -
Leveraging data sharing for enhanced experiences in service industries: Role of experience orientation and privacy calculus
In the context of customer experience, the acquisition of personal and behavioural data plays an integral role, yet it raises significant privacy concerns. This study suggests employing the privacy calculus framework to craft a meaningful customer experience while addressing these privacy apprehensions. Drawing from an extensive review of literature, the study formulates propositions, subsequently validated through case studies. Beyond existing literature, this research introduces novel factors pertinent to the service industry, expanding the understanding of privacy-tradeoff dynamics. Factors such as brand reputation, transaction frequency, campaign design, grievance redressal mechanisms, ethical conduct, and marketer behaviour emerge as pivotal triggers influencing privacy-tradeoff decisions. However, empirical validation is required to consolidate these propositions. The study highlights the imperative of bridging the privacy calculus concept with customer experience, particularly within the service sector, shedding light on factors that can effectively navigate this terrain. By clarifying the relationships between privacy considerations and customer experience, this chapter contributes to a deeper comprehension of the intricacies involved. It not only identifies key factors but also underlines their potential to shape and optimize the customer journey amidst privacy concerns. The proposed framework offers a better understanding of how businesses can navigate the delicate balance between data privacy and delivering exceptional service. The study recommends further empirical scrutiny to validate and refine the proposed framework, ultimately fostering a more robust understanding of privacy dynamics in the service industry. 2025 Elangovan N., Aishwarya Nagarathinam, Sundaravel Elangovan, Aarthy Chellasamy and Sangeetha Rangasamy. Published under exclusive licence by Emerald Publishing Limited. All rights reserved. -
Ethical Decision-Making in HRM: Insights From India Ethos
This research is especially relevant given the dynamic nature of Human Resource Management (HRM) and its objectives to offer a systematic view of ethical decision-making, focusing on the Indian system. The research relies on the combination of investigations from ethics, HRM, cultural studies, and organizational behavior to reach a maximum understanding of the research subject. The findings of the study are based on a multilayered exploration of ethical decision-making in HRM. It explores the current challenges of human resources (HR) professionals who must consider both business and ethical aspects while promoting their organizations. Also, this study focuses on ideological and cultural aspects to describe the Indian ethical phenomenon. The anticipated results of the proposed research will have practical implications for HR practitioners and leaders. The study will further assist in understanding how HR professionals and leaders can encourage ethical decision-making. Based on the unique indigenous qualities of the Indian continent, the research will also help in the establishment of more culturally suitable HRM ethical practices. It will add value internationally due to the coordination brought by different cultures. This research contributes to existing HRM research on ethical decision-making complexities since it stresses the need for a culture-sensitive approach to these complexities. The utilization of Indias indigenous ethics makes the researchs point of view unique, making it beneficial for both practitioners and scholars. The novelty of this study is uncovering the cultural crossroads of the Indian ethos and HRM ethics as a part of the greater debate on organizational decision-making. 2025 Anitha K., Indrajit Ghosal and Mohammad Irfan. -
Blockchain disrupting supply chain finance: Transformative solutions and emerging challenges
Purpose: The study aims to provide a concise summary of the adoption of blockchain technology in supply chain financing and value creation and explore how blockchain technology has revolutionized and optimized traditional supply chain finance practices. Study Design/Methodology: This study dives into the dynamic landscape of supply chain financing, highlighting the recent trends in supply chain financing and innovative approaches revamping the traditional supply chain financing models. It provides a comprehensive review of the available blockchain-enabled supply chain financing literature. Methodology/Approach: The study takes a multidisciplinary approach, drawing on insights from supply chain management, finance and information technology to understand the potential and challenges of blockchain technology in supply chain financing. Initially, the chapter examines the area of fintech innovations relevant to supply chain finance. Findings: The study on blockchain technology disrupting supply chain finance infers that blockchain offers numerous advantages for optimizing supply chain financing, such as faster settlements, reduced financing cost, limiting intermediaries, real-time settlements, and enhanced transaction efficiency. Blockchain in finance also suffers from drawbacks such as issues relating to scalability, regulatory compliance, privacy and security of data, and problems relating to educating users. Practical Implication: This study would be helpful for practitioners and future researchers of blockchain-supported supply chain financing. It contributes to the growing research on the applications of blockchain technology in supply chain finance, highlighting the advantages, disadvantages, and challenges of implementing blockchain technology better. 2025 Naseema N., Shakeb Akhtar and Pratiksha Jha. -
Equity and inclusion in GenAI innovation: Exploring the challenges and strategies for ensuring equitable access to and benefits from GenAI-driven innovation
This chapter examines the critical need for equity and inclusion in the development and deployment of Generative Artificial Intelligence (GenAI) technologies. As GenAI rapidly transforms various sectors, from health care to education, its benefits are not evenly distributed, risking the exacerbation of existing social inequalities leading to a huge digital divide. The chapter explores theoretical frameworks like critical race theory (CRT) and intersectionality to understand how biases embedded in AI systems can perpetuate discrimination. It also highlights the role of open-source platforms and emerging AI initiatives in the Global South in democratizing access to these technologies. Through case studies of companies like Procter & Gamble and Microsoft, the chapter demonstrates both the potential of GenAI to drive innovation and the challenges of integrating AI ethically into global operations. The discussion underscores the importance of deliberate, inclusive strategies to ensure that AI serves as a force for social good, fostering global equity rather than deepening divides. 2025 V. Padmaja, P. Bhanumathi and Bishal Patangia. All rights reserved. -
A Framework for Smart Innovations in Islamic Pilgrimage: Utilizing AI and IoT within the Context of Halal Tourism
Despite growing discourse on smart tourism and AI applications in travel, limited scholarly attention has been given to understanding the reasons for the growth of AI usage and the various facets of its application, specifically within Islamic pilgrimage. This includes the absence of a developed framework for innovative inventions. This paper addresses the research gap by exploring how AI and IoT technologies can transform halal tourism management, focusing on the Hajj and Umrah pilgrimages. The paper deals with three objectives: (1) To understand the reasons for the growth of AI usage in halal tourism with special reference to Islamic Pilgrimage, (2) to examine the various facets of AI usage in Islamic pilgrimage, and (3) to develop the framework for Smart inventions in Islamic pilgrimage. Methodologically, this is a conceptual paper grounded in a secondary literature review. It incorporates a thematic content analysis of both academic publications and gray literature. With this approach, the researchers were able to gain a holistic view of how AI can intersect with Islamic pilgrimage and halal tourism. The results are demonstrated through the ideation of the FSIIP framework. This framework highlights AIs vital role in improving pilgrims experiences through tailored services, streamlining crowd control, and advancing sustainability through astute resource management. 2026 by Priyakrushna Mohanty, M Sharanya and Saurabh Bharti. -
Factors Influencing Rural Youth Engagement in India: A Comprehensive Analysis
India is currently in a crucial situation where utilizing the potential of its rural youth could greatly influence the countrys overall growth, given its large rural areas and young population. This chapter explores the various factors that affect the involvement of rural youth, such as education, job prospects, infrastructure, technology, and government policies. It also examines the current engagement of rural youth in India, their aspirations for rural development, and the factors influencing their participation. First, the chapter examines the factors that influence rural youth engagement in development activities. It identifies driving factors such as resource access, supportive policies, and community backing, while also addressing hindrances including resource limitations, inadequate infrastructure, and socio-cultural barriers. Second, it identifies proven practices that effectively involve young people in rural settings, including empowerment programs, skill development workshops, and technology integration. These practices provide insights into how rural youth are currently contributing to and benefiting from development initiatives. Finally, the chapter proposes a research framework and instrument designed to assess and enhance youth involvement in various developmental areas. The findings offer valuable recommendations for enhancing youth involvement in rural development and addressing their unmet needs, ultimately contributing to more effective and inclusive development strategies in rural India. Through a synthesis of existing literature and insights from focused group discussions at rural colleges, this work explores the challenges and aspirations of rural youth in India. CAB International 2026. -
Factors Influencing Rural Youth Engagement in India: A Comprehensive Analysis
India is currently in a crucial situation where utilizing the potential of its rural youth could greatly influence the countrys overall growth, given its large rural areas and young population. This chapter explores the various factors that affect the involvement of rural youth, such as education, job prospects, infrastructure, technology, and government policies. It also examines the current engagement of rural youth in India, their aspirations for rural development, and the factors influencing their participation. First, the chapter examines the factors that influence rural youth engagement in development activities. It identifies driving factors such as resource access, supportive policies, and community backing, while also addressing hindrances including resource limitations, inadequate infrastructure, and socio-cultural barriers. Second, it identifies proven practices that effectively involve young people in rural settings, including empowerment programs, skill development workshops, and technology integration. These practices provide insights into how rural youth are currently contributing to and benefiting from development initiatives. Finally, the chapter proposes a research framework and instrument designed to assess and enhance youth involvement in various developmental areas. The findings offer valuable recommendations for enhancing youth involvement in rural development and addressing their unmet needs, ultimately contributing to more effective and inclusive development strategies in rural India. Through a synthesis of existing literature and insights from focused group discussions at rural colleges, this work explores the challenges and aspirations of rural youth in India. CAB International 2026.