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                <text>The Children in Conflict with Law (CCL) is one of the two categories of children under the Juvenile Justice Act, 2015 (JJA, 2015). The behaviour formation of the CCL is significant because it could help the children: (a) from being a possible threat to society, and (b) being disciplined at all stages of their growth. The failure of behaviour correction of CCL may lead to severe recidivism, and can potentially &#13;
transform them into experienced criminals who would not be tolerated by any society. Reintegration of CCL back into their family is the best solution for the problem. The research “Factors influencing family reintegration of CCL” is an attempt to find the factors influencing these children, their family environment, and the society as a whole for reintegration. This fact-finding study has been completed with an explanatory sequential method in a mixed-research approach. The child offender’s demographic details, personality, family environment, social support, and protective factors were part of this research’s study. The data were collected both quantitativelyand qualitatively. The self-made interview schedules and a standardised tool of the Big Five Personality Inventory were used quantitatively. Case studies through in�depth interviews and observations were applied qualitatively to collect data. Simple frequency analysis and cross-case study with thematic analysis have been used for analysing the data. Though many powerful social support systems like the Juvenile Justice Board (JJB), District Child Protection Unit (DCPU), Police and Non Governmental Organisations (NGO) supported the reintegration of CCL actively, the personality of the children and their family environment with its’ traditions had created adverse effects on the attempts towards reintegration.</text>
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                <text>The Children in Conflict with Law (CCL) is one of the two categories of children under the Juvenile Justice Act, 2015 (JJA, 2015). The behaviour formation of the CCL is significant because it could help the children: (a) from being a possible threat to society, and (b) being disciplined at all stages of their growth. The failure of newlinebehaviour correction of CCL may lead to severe recidivism, and can potentially newlinetransform them into experienced criminals who would not be tolerated by any society. newlineReintegration of CCL back into their family is the best solution for the problem. The newlineresearch Factors influencing family reintegration of CCL is an attempt to find the factors influencing these children, their family environment, and the society as a newlinewhole for reintegration. This fact-finding study has been completed with an explanatory sequential method in a mixed-research approach. The child offender s demographic details, personality, family environment, social support, and protective factors were part of this research s study. The data were collected both quantitatively and qualitatively. The self-made interview schedules and a standardised tool of the newlineBig Five Personality Inventory were used quantitatively. Case studies through in depth interviews and observations were applied qualitatively to collect data. Simple newlinefrequency analysis and cross-case study with thematic analysis have been used for newlineanalysing the data. Though many powerful social support systems like the Juvenile newlineJustice Board (JJB), District Child Protection Unit (DCPU), Police and Non Governmental Organisations (NGO) supported the reintegration of CCL actively, the newlinepersonality of the children and their family environment with its traditions had created adverse effects on the attempts towards reintegration. Twenty to thirty per cent newlineof successful reintegration proves that a scientific and timely intervention can solve newlinethe problems of juvenile delinquency to a great extent.</text>
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                <text>Recent years have seen a rise in the phenomenon of migration for employment, which has resulted in a more diversified and dynamic global workforce. Migrant workers contribute to a variety of businesses and sectors, which is essential to the economic growth of host nations. Their job satisfaction, though, continues to be a major source of worry. This summary gives a general overview of the variables affecting migrant workers job satisfaction, highlighting significant aspects like pay, working conditions, social support, and cultural assimilation. This study intends to shed light on the complex interactions between these variables and their effects on migrant workers overall well-being and job satisfaction through an examination of the literature already in existence and empirical data. The results of this study can help policymakers, employers, and other stakeholders implement initiatives that improve migrant employees job satisfaction, creating more effective, peaceful, and inclusive work environments.  2025 selection and editorial matter, Hafinaz, Hariharan R and R. Senthil Kumar.</text>
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                <text>Online shopping is growing rapidly in India, predominantly driven by tremendous and substantial divulgatory activities among millennial consumers. Online shopping is becoming more popular and attracts significant attention because it has excellent potential for both consumers and vendors. The convenience of online shopping makes it more successful and makes it an emerging trend among consumers. When all the companies are striving against one another, certain factors influence the behavior of customers. This paper analyses the relationship between the critical, independent variables, including consumer behavior, cultural, social, personal, psychological, and marketing mix factors. The results revealed that the influence of Brand as a factor had positively influenced the customers decisions in shopping online and evaluates the customers level of satisfaction with Online shopping. Results provided in this research could be employed as reference information for Ecommerce app builders and marketers regarding such issues in the city.  2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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                <text>The rapid digital transformation, especially on the internet, has provided businesses with unprecedented opportunities for global expansion. This shift has revolutionized marketing, replacing costly and labour-intensive efforts with cost-effective digital strategies. E-commerce platforms facilitate this process by offering an interactive interface for users to post reviews, comments, and questions, thus enhancing the decision-making experience. Understanding customer purchase intention is vital in this digital age, as it's shaped by various antecedent factors, with digital word-ofmouth (eWOM) being a significant influencer. However, the relationship between eWOM and purchase intention remains underexplored. This chapter reviews 60 previous studies, shedding light on the factors affecting online customers' purchase intentions. The study identifies research gaps, setting a clear direction for future investigations.  2024, IGI Global. All rights reserved.</text>
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                <text>Deepika S.R., School of Business and Management, Christ University, Bangalore, India; Annamalai S., School of Business and Management, Christ University, Bangalore, India; Gunasekaran A., School of Business Administration, Penn State Harrisburg, Middletown, PA, United States</text>
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                <text>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.</text>
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                <text>Mentoring has a close relationship to the word journey, symbolic of a goal-oriented process. Goal 4 of the Sustainable Development Goals (SDGs) stress on quality education and mentoring in educational institutions is a vehicle in this direction. Higher education is a crucial phase when students seek coaching and guidance for professional development. Higher Education Institutions (HEI) focusing on quality education assign mentors for students' academic and professional enhancement. The present study involving 92 participants describes the mentoring process followed in two social science courses of two different HEI by following a mixed-method and employing descriptive statistics and grounded theory. The emergent themes include continued communication channels between mentor and mentee, goals, duration, frequency, conflict mitigation, age and inclusion. These are structured as a model which is akin to the Rhodes Model of Youth Mentoring but more comprehensive and suited to the Indian context.  2021 SCMS Group of Educational Institutions. All rights reserved.</text>
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                <text>SCMS Journal of Indian Management, Vol-18, No. 2, pp. 106-119.</text>
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                <text>Cherian R.M., Department of Sociology and Social Work, CHRIST (Deemed to be University), Bengaluru, India; Francis C., Department of Sociology and Social Work, CHRIST (Deemed to be University), Bengaluru, India</text>
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                <text>Factors Influencing the Quality of Internal Audits in SMEs</text>
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                <text>Hephzibah S., Christ University, Bangalore, India; Vincent T.N., Christ University, Bangalore, India; Jain P., Christ University, Bangalore, India; Tantia V., Christ University, Bangalore, India</text>
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                <text>Internal auditors role and their quality output are one of the essential features of an organisation. But a specific internal audit department is one of the easily ignoring cost cutting method for Small and Medium-sized Enterprises (SMEs), due to their limited resources and various challenges. Based on the recent corporate governance stress, most of the listed SMEs are employing internal audit departments, but the autonomy of internal auditors which are questionable generally among all the industries are considered to be very challenging to attain in SMEs. The aim of this study is to examine how effective are the internal auditors role in listed SMEs and what are the key factors that will impact high-quality audits. Audit committee, autonomy of internal auditors and fraud risk assessment are the key factors considered to achieve the objective of study. For the comprehensive analysis of this study 71 listed SMEs are considered and quantitative research methodology is used for the collection of data. The findings shows that these key factors are crucial to improve audit quality of SMEs. The study provides valuable insights and guidance for SMEs to augment their internal control systems and achieve long-term sustainable growth as they prone to witness constant changes in the present business world.  The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.</text>
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                <text>Sumedha Journal of Management, Vol.4, Issue 2, pp.429-448, ISSN No: 2277-6753.</text>
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                <text>COVID-19; online teaching; synchronous learning; technology acceptance model; videoconferencing</text>
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                <text>Under this new normal world scenario, online teaching has been essential rather than a choice in continuing learning activities. During the COVID-19 period, virtual teaching platforms played an important role in the success of online teaching in various higher educational institutions. Thus, the current study attempted to predict faculty adoption of online platforms by introducing a set of essential drivers for engaging in online teaching. Following the theory of reasoned action, the study broadened the technology acceptance model variables and security and trust as extrinsic determinants and included resistance to change as moderators to invigorate the research model. Data were collected through an online survey with a sample size of 418 Indian respondents. Our results posit that perceived ease of use, usefulness, security and trust positively influence the faculty's intentions to adopt online platforms. In addition, the study also reported that positive intention leads to the actual use of virtual platforms. Furthermore, the research found the moderating role of the resistance to change dimension in the association of intention and actual use of virtual teaching platforms. The findings provide both theoretical and practical applications of educational technology. Implications for practice or policy  The first step for accepting virtual teaching platforms is to help faculty to reduce their resistance for effective online teaching.  Higher education institutions should have a policy promising faculty that online teaching using virtual teaching platforms will offer a safer and more trustworthy environment.  Higher education institutions should undertake intense organisational renewal and implement bottom-up processes for synchronous learning.  Regulators could frame a policy including virtual teaching platforms to provide interactive professional development opportunities.  Articles published in the Australasian Journal of Educational Technology (AJET) are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant AJET right of first publication under CC BY-NC-ND 4.0.</text>
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                <text>Singh H.; Singh P.; Sharma D.</text>
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                <text>Australasian Journal of Educational Technology, Vol-39, No. 6, pp. 33-50.</text>
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                <text>Australasian Society for Computers in Learning in Tertiary Education (ASCILITE)</text>
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                <text>&lt;a href="https://doi.org/10.14742/ajet.7529" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.14742/ajet.7529&lt;/a&gt;
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              <elementText elementTextId="99377">
                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 14495554</text>
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                <text>Singh H., Christ (Deemed to be University), Bangalore, India; Singh P., Akal University, Bathinda, India; Sharma D., Kristu Jayanti College, Bangalore, India</text>
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                <text>FACVO-DNFN: Deep learning-based feature fusion and Distributed Denial of Service attack detection in cloud computing</text>
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                <text>Anti Corona Virus Optimization; Deep neuro-fuzzy network; Deep Quantum Neural Network; Distributed denial of service; Fractional Calculus</text>
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            <description>An account of the resource</description>
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                <text>Cloud computing offers a broad range of resource pools for conserving a huge quantity of information. Due to the intrusion of attackers, the information that exists in the cloud is threatened. Distributed Denial of Service (DDoS) attack is the main reason for attacks in the cloud. In this study, a Fractional Anti Corona Virus Optimization-based Deep Neuro-Fuzzy Network (FACVO-based DNFN) is devised for detecting DDoS in the cloud. The production of log files, feature fusion, data augmentation, and DDoS attack detection is the processing stages involved in this phase of the DDoS attack detection process. The feature fusion is carried out by RV coefficient and Deep Quantum Neural Network (Deep QNN), and the data augmentation is performed. Then, the Anti Corona Virus Optimization (ACVO) method and Fractional Calculus (FC) are both incorporated to create the FACVO algorithm. The DNFN is trained by the created FACVO algorithm, which identifies the DDoS attack. The proposed approach achieved testing accuracy, TPR, TNR, and precision values of 0.9304, 0.9088, 0.9293, and 0.8745 for using the NSL-KDD dataset without attack, and 0.9200, 0.8991, 0.9015, and 0.8648 for using the BoT-IoT dataset without attack.  2022 Elsevier B.V.</text>
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              <elementText elementTextId="98227">
                <text>Emil Selvan G.S.R.; Ganeshan R.; Jingle I.D.J.; Ananth J.P.</text>
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                <text>Knowledge-Based Systems, Vol-261</text>
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              <elementText elementTextId="98229">
                <text>Elsevier B.V.</text>
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                <text>2023-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.knosys.2022.110132" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.knosys.2022.110132&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144819502&amp;amp;doi=10.1016%2Fj.knosys.2022.110132&amp;amp;partnerID=40&amp;amp;md5=4de4c662744c693925b8a7eeca1031af" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144819502&amp;amp;doi=10.1016%2fj.knosys.2022.110132&amp;amp;partnerID=40&amp;amp;md5=4de4c662744c693925b8a7eeca1031af&lt;/a&gt;</text>
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            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="98232">
                <text>Restricted Access</text>
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              <elementText elementTextId="98233">
                <text>ISSN: 9507051; CODEN: KNSYE</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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                <text>Online</text>
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            <description>A language of the resource</description>
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              <elementText elementTextId="98235">
                <text>English</text>
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                <text>Article</text>
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            </elementTextContainer>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="98237">
                <text>Emil Selvan G.S.R., Assistant Professor, Department of Computer Science and Engineering, Thiagarajar College of Engineering, Madurai, 625015, India; Ganeshan R., Assistant Professor Senior Grade - II, School of Computing Science And Engineering, VIT Bhopal University, Bhopal-Indore Highway, Kothrikalan, Madhya Pradesh, Sehore, 466114, India; Jingle I.D.J., Associate Professor, Department of CSE, School of Engineering and Technology, Christ University, Karnataka, Bangalore, India; Ananth J.P., Professor, Department of CSE, Sri Krishna College of Engineering and Technology, Tamil Nadu, Coimbatore, India</text>
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                <elementText elementTextId="51377">
                  <text>Conference Papers</text>
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      <name>Conference Paper</name>
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          <element elementId="50">
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              <elementText elementTextId="170423">
                <text>FADA: Flooding Attack Defense AODV Protocol to counter Flooding Attack in MANET</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="170424">
                <text>Denial of Service (DoS); FADA Protocol; Flooding attack; MANET; Throughput</text>
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                <text>The intrinsic nature of a Mobile Ad hoc Network (MANET) makes it difficult to provide security and it is more vulnerable to network attacks. Denial of Service (DoS) attack can be executed using Flooding attack, that has the potential to bring down the entire network. This attack works by delivering an excessive number of unwanted packets that consumes too much battery life, storage space, and bandwidth, that eventually lowers the system's performance. In order to flood the network, the attacker injects fake packets into it. Both Control Packet flooding and Data flooding attacks are taken into account in this study. FADA (Flooding Attack Defense AODV) protocol is proposed to counter flooding attack that promotes greater utilization of existing resources. This research identifies the attack-causing node, isolates it and protects the network against flooding attack. Attack Detection Rate, Attack Detection Accuracy, End-to-end delay and Throughput are few metrics used for evaluation of the proposed model. NS-2.35 is used to demonstrate the efficiency of the suggested protocol and the results prove that the proposed model increases system's throughput while decreasing attack. The simulation results have shown that the proposed FADA protocol performs better than the existing models taken into consideration.   2023 IEEE.</text>
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              <elementText elementTextId="170426">
                <text>Kiruthika M.; Krishnasamy L.; Samuel P.; Kanagaraj K.</text>
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              <elementText elementTextId="170427">
                <text>Proceedings of IEEE 2023 5th International Conference on Advances in Electronics, Computers and Communications, ICAECC 2023</text>
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              <elementText elementTextId="170428">
                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <elementText elementTextId="170429">
                <text>2023-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1109/ICAECC59324.2023.10560115" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICAECC59324.2023.10560115&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198407202&amp;amp;doi=10.1109%2FICAECC59324.2023.10560115&amp;amp;partnerID=40&amp;amp;md5=7cf208f74599fe843fbdbeffcbc3d93e" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198407202&amp;amp;doi=10.1109%2fICAECC59324.2023.10560115&amp;amp;partnerID=40&amp;amp;md5=7cf208f74599fe843fbdbeffcbc3d93e&lt;/a&gt;</text>
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              <elementText elementTextId="170431">
                <text>Restricted Access</text>
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                <text>ISBN: 979-835030544-9</text>
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                <text>Kiruthika M., School of Computing, SRM Institute of Science and Technology, Department of Computational Intelligence, Tamilnadu, Kattankulathur, India; Krishnasamy L., School of Engineering and Technology, Christ University, Department of Computer Science and Engineering, Karnataka, Bengaluru, India; Samuel P., School of Computing, SRM Institute of Science and Technology, Department of Computational Intelligence, Tamilnadu, Kattankulathur, India; Kanagaraj K., School of Computing, SRM Institute of Science and Technology, Department of Computational Intelligence, Tamilnadu, Kattankulathur, India</text>
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      <name>Book Chapter</name>
      <description>Faculty Publications- Book Chapter</description>
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                <text>Benny, Jeeva; Kaur, Jasmine</text>
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                <text>Fair and Inclusive Customer Segmentation in AI- Driven Marketing</text>
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                <text>01-01-2026</text>
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              <elementText elementTextId="288686">
                <text>AI-Driven Decision-Making for Diversity, Equity, and Inclusion in Marketing;pp.261-288</text>
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                <text>&lt;a href="https://doi.org/10.4018/979-8-3373-6731-6.ch010" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.4018/979-8-3373-6731-6.ch010&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105033221708?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105033221708?origin=resultslist&lt;/a&gt;</text>
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              <elementText elementTextId="288688">
                <text>Benny J., Christ University, Bangalore, India; Kaur J., Christ University, India</text>
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                <text>This chapter explains how artificial intelligence has evolved customer segmentation from a marketing tool into a socio- technical decision mechanism with implications for fairness, inclusion, and cultural representation. In the chapter, algorithmic segmentation is analyzed using clustering methods, explainable frameworks such as LIME and SHAP, and fairness metrics to identify or alleviate structural bias in multicultural markets. It discusses accuracy fairness trade- offs, transparency, emotional trust, and organizational capability gaps, especially when segmentation outputs flow into generative AI driven personalization. Through case studies on multicultural targeting, AI sales agents, misinformation flows, and exclusion in finance, employment, and welfare, the authors show how segmentation systems affect society. The chapter concludes with strategic, ethical, and policy recommendations for responsible, inclusive AI marketing grounded in fairness aware segmentation.  2026 by IGI Global Scientific Publishing. All rights reserved.</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>And Inclusion (DEI); Customer Segmentation; Diversity; Equity; Explainable Artificial Intelligence (XAI); Generative AI (GenAI); LIME (Local Interpretable Model Agnostic Explanations); Proxy Bias; SHAP (SHapley Additive exPlanations)</text>
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                <text>IGI Global</text>
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                <text>ISBN: 979-833736733-0; 979-833736731-6;</text>
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            <name>Language</name>
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                <text>All Open Access; Hybrid Gold Open Access</text>
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