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                <text>Exploring character strength in the functioning and well beings of religious leaders  </text>
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                <text>Positive psychology is the scientific study of optimal functioning, flourishing and well-being of individuals and organizations. The backbone of positive psychology, the character strengths are significant in effective leadership functioning. The current study explored the character strengths development and character strengths utilization in the functioning and well-being of religious leaders (consecrated nuns and priests). There were 17 participants, nine female and eight male consecrated Catholic religious leaders. The study used the mixed design. The Values in Action Tests was administrated to identify leaders top strengths and a phenomenological approach was used to explore character strengths development as well as the usage of character strengths in the functioning of the religious leaders. The findings illustrated that the most prevalent character strengths of leaders are honesty, gratitude, teamwork, fairness, and kindness. The least prevalent strengths are love of learning, humour, appreciation of excellence, zest, judgement and creativity. Results showed that the influencing factors of character strengths development are family influences, experiences at school, formative programmes in the religious formation, critical events and factors enhancing strength. The strength of wisdom and knowledge were used mainly at organizational and administrative level of leadership functioning. Strengths of courage manifested at
the implementation level. The strength of humanity is identified as the most striking character strength in leader-member exchange. The strength of temperance has the role of controller in leadership functioning. The strength of justice is seen as a catalyst in promoting cohesion in the community. The leaders pivotal manifestation of the strengths of transcendence is in their intimacy with God that gives higher purpose and meaning in leadership, that is, do the Will of God. Character strengths were found in promoting wellness through achievements, facilitating total engagement, giving a great purpose in leader life and in promoting better leader-follower interactions. The highlighted character strengths that promote well-being were gratitude and appreciation. The study has brought out an ongoing leadership training programme for religious leaders that can be completed in three phases.</text>
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                <text>Jose, Dolly.</text>
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                <text>Christ(Deemed to be University)</text>
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                <text>P, Padmakumari</text>
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                <text>&lt;a href="http://hdl.handle.net/10603/252041" target="_blank" rel="noreferrer noopener"&gt;http://hdl.handle.net/10603/252041&lt;/a&gt;</text>
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                <text>Exploring chatbot trust: Antecedents and behavioural outcomes</text>
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                <text>An awareness about the antecedents and behavioural outcomes of trust in chatbots can enable service providers to design suitable marketing strategies. An online questionnaire was administered to users of four major banking chatbots (SBI Intelligent Assistant, HDFC Bank's Electronic Virtual Assistant, ICICI bank's iPal, and Axis Aha) in India. A total of 507 samples were received of which 435 were complete and subject to analysis to test the hypotheses. Based on the results, it is found that the hypothesised antecedents, except interface, design, and technology fear factors, could explain 38.6% of the variance in the banking chatbot trust. Further, in terms of behavioural outcomes chatbot trust could explain, 9.9% of the variance in customer attitude, 11.4% of the variance in behavioural intention, and 13.6% of the variance in user satisfaction. The study provides valuable insights for managers on how they can leverage chatbot trust to increase customer interaction with their brand. By proposing and testing a novel conceptual model and examining the factors that impact chatbot trust and its key outcomes, this study significantly contributes to the AI marketing literature.  2023 The Authors</text>
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                <text>Alagarsamy S.; Mehrolia S.</text>
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                <text>Heliyon, Vol-9, No. 5</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.heliyon.2023.e16074" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.heliyon.2023.e16074&lt;/a&gt;
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                <text>All Open Access; Gold Open Access; Green Open Access</text>
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                <text>ISSN: 24058440</text>
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                <text>Alagarsamy S., School of Business, Manipal Academy of Higher Education, Dubai Campus, United Arab Emirates; Mehrolia S., School of Business and Management, Christ University, Bangalore, 560029, India</text>
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                <text>Kaur, Simran; Rajesh, R.; Radhalakshmi, K.N.</text>
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                <text>Exploring Communication Authenticity Anxiety: A Data-DrivenPsychological Analysis of Al-Generated Content on StudentSelf-Perception and Expression</text>
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                <text>IC-DECON 2025 - 2025 International Conference on Data, Energy and Communication Network, Proceedings;</text>
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                <text>Kaur S., CHRIST(Deemed to be University), Department of Statistics and Data Science, Bangalore, India; Rajesh R., CHRIST(Deemed to be University), Department of Statistics and Data Science, Bangalore, India; Radhalakshmi K.N., CHRIST(Deemed to be University), Department of Statistics and Data Science, Bangalore, India</text>
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                <text>Generative artificial intelligence (AI) tools such as ChatGPT and Gemini are becoming more common in student communication, owing to the improvement that they offer in fluency and efficiency, but at the same time raise concerns about authenticity. Students struggle to put their authentic voice forward in the quest to enhance their work using these writing assistants. Many surveys have been conducted, which indicate widespread use of AI tools for education-related chores, yet these studies ignore the emotional effects related to this. The psychological discomfort related to authenticity in text-based communication is still not well examined and to address this gap, this study introduces a term called Communication Authenticity Anxiety and successfully examines its relationship with self-perception, academic stress, resilience, and AI dependence. Data were collected via a structured student survey and analyzed using exploratory factor analysis, regression modeling and machine learning techniques. Results show that self-perception and academic stress are the strongest predictors of authenticity anxiety, while resilience and AI dependence have weaker effects. These findings were further validated by Machine Learning models, with Random Forest achieving 75% accuracy and XGBoost achieving {9 2%}. This study, thus, successfully contributes to understanding the various psychological consequences of AI-generated content on student identity and expression, thereby providing valuable insights for crafting responsible educational policies.  2025 IEEE.</text>
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                <text>Academic Stress; Artificial Intelligence; Communication Authenticity Anxiety; Machine Learning; Resilience; Student Self-perception</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>Kaur, Simran; Rajesh, R.; Radhalakshmi, K.N.</text>
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                <text>Exploring Communication Authenticity Anxiety: A Data-DrivenPsychological Analysis of Al-Generated Content on StudentSelf-Perception and Expression</text>
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                <text>Kaur S., CHRIST(Deemed to be University), Department of Statistics and Data Science, Bangalore, India; Rajesh R., CHRIST(Deemed to be University), Department of Statistics and Data Science, Bangalore, India; Radhalakshmi K.N., CHRIST(Deemed to be University), Department of Statistics and Data Science, Bangalore, India</text>
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                <text>Generative artificial intelligence (AI) tools such as ChatGPT and Gemini are becoming more common in student communication, owing to the improvement that they offer in fluency and efficiency, but at the same time raise concerns about authenticity. Students struggle to put their authentic voice forward in the quest to enhance their work using these writing assistants. Many surveys have been conducted, which indicate widespread use of AI tools for education-related chores, yet these studies ignore the emotional effects related to this. The psychological discomfort related to authenticity in text-based communication is still not well examined and to address this gap, this study introduces a term called Communication Authenticity Anxiety and successfully examines its relationship with self-perception, academic stress, resilience, and AI dependence. Data were collected via a structured student survey and analyzed using exploratory factor analysis, regression modeling and machine learning techniques. Results show that self-perception and academic stress are the strongest predictors of authenticity anxiety, while resilience and AI dependence have weaker effects. These findings were further validated by Machine Learning models, with Random Forest achieving 75% accuracy and XGBoost achieving {9 2%}. This study, thus, successfully contributes to understanding the various psychological consequences of AI-generated content on student identity and expression, thereby providing valuable insights for crafting responsible educational policies.  2025 IEEE.</text>
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                <text>Exploring Conditional Generative Models for Sketch-to-Image Translation: cGAN, cVAE, and Conditional Diffusion Models</text>
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                <text>3rd International Conference on Emerging Applications of Material Science and Technology, ICEAMST 2025;pp.1177-1182</text>
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                <text>Jaisree M.K., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Madhumitha P., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Umamaheswari D., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Loveline Zeema J., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India</text>
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                <text>Creating realistic facial pictures from hand-drawn sketches is of significant utility in forensic investigations because eyewitness drawings are frequently the only visual leads for suspect identification. Turning a hand-drawn sketch into a realistic image is a difficult task. This is because sketches lack detailed information, they are abstracted, and ambiguous. Most of the conventional image creation and generation techniques tend to lose facial structure, identity, and realism. This makes it a great area for generative AI. This paper is a comparative analysis of three generative models: Conditional GANs, Conditional VAEs, and Conditional Diffusion Models. We evaluate these models on the sketch-to-image synthesis problem using the CUHK Face Sketch Dataset. We recognize and compare how every model handles the challenge of generating images from sketches of faces, with an emphasis on producing realistic images, maintaining identity and diversity. The paper demonstrates the advantages and disadvantages of each approach. It also offers insights into their usefulness for forensic applications and suggests directions for future improvements through combined or specialized generative structures.  2025 IEEE.</text>
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                <text>Jaisree M.K., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Madhumitha P., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Umamaheswari D., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Loveline Zeema J., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India</text>
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                <text>Creating realistic facial pictures from hand-drawn sketches is of significant utility in forensic investigations because eyewitness drawings are frequently the only visual leads for suspect identification. Turning a hand-drawn sketch into a realistic image is a difficult task. This is because sketches lack detailed information, they are abstracted, and ambiguous. Most of the conventional image creation and generation techniques tend to lose facial structure, identity, and realism. This makes it a great area for generative AI. This paper is a comparative analysis of three generative models: Conditional GANs, Conditional VAEs, and Conditional Diffusion Models. We evaluate these models on the sketch-to-image synthesis problem using the CUHK Face Sketch Dataset. We recognize and compare how every model handles the challenge of generating images from sketches of faces, with an emphasis on producing realistic images, maintaining identity and diversity. The paper demonstrates the advantages and disadvantages of each approach. It also offers insights into their usefulness for forensic applications and suggests directions for future improvements through combined or specialized generative structures.  2025 IEEE.</text>
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                <text>Cultural Sensitivity, Cross-Border Logistics, and E-Commerce in Global Marketing;pp.181-213</text>
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                <text>Golchha C., Christ University, India; Nagariya R.J., Christ University, India</text>
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                <text>This chapter explores the dynamic world of consumer behaviour and buying patterns, focusing on the psychological, social, cultural, and economic factors that shape decisions. It examines how consumers manage their preferences and choices in various market situations, highlighting trends like sustainable consumption, loyalty-driven purchases, and impulsive buying. The chapter also investigates the impact of the digital revolution, including social media and e-commerce, on consumer engagement and purchasing habits. By addressing elements such as peer influence, brand perception, and decision-making processes, it emphasises the importance of understanding consumer diversity in demographics, culture, and lifestyle. Combining theoretical frameworks, real-world examples, and data-driven insights, this chapter provides businesses and researchers with a foundation for predicting demands and creating effective marketing strategies.  2025 by IGI Global Scientific Publishing. All rights reserved.</text>
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                <text>This article explores how certain food and the stories linked to the same are capable of evoking feelings of comfort and security. Food binds people together. The rituals and practices surrounding food inspire and sustain the association of various memories, experiences and emotions. The area of food studies is especially interested in how these linkages translate into the practice of nourishment. The narratives surrounding comfort food take on a cross-cultural flavour in the videos from Beryl Shereshewskys YouTube channel. This article analyses these narratives through the lens of Symbolic Interactionism to explicate how these food narratives bring people together from across the world by evoking the universal needs of food and comfort. Consequently, it is seen that even though it is true that the experience of consuming comfort food is extremely personal, it is also rendered as a universal phenomenon through the narratives that are created and shared.  2023 MICA-The School of Ideas.</text>
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                <text>George N., Department of English and Cultural Studies, Christ University, Karnataka, Bengaluru, India; Dhantal S., Department of English and Cultural Studies, Christ University, Karnataka, Bengaluru, India</text>
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                <text>Narvekar H.N., CHRIST (Deemed to Be University), Bengaluru, India; Patil J., Symbiosis International (Deemed University), Pune, India</text>
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                <text>The rising social value of pet ownership is infuenced by social media and evidence of positive efects on well-being, leading to a rise in dog ownership in younger generations. However, the mental health outcomes of this broader shif, especially in India, have not been studied. The study explored the association between dog owners relationships, mental health, and satisfaction with life among university students. A cross-sectional correlational design was used with 250 students aged 1825 who were either dog owners or without pets. The dog owners responded to the Monash Dog Owner Relationship Scale, apart from the Mental Health Continuum and Satisfaction with Life Scale. Results showed a non-signifcant diference between mental health and satisfaction with life between dog owners and non-pet respondents. A positive relationship could not be established between dog ownership, mental health, and satisfaction with life. The dogs gender and breed infuenced the owners emotional bonding and interactions. Low perceived costs were related to a strong emotional bond with the dog, highlighting the complex nature of the pet ownership experience. Dog ownerships efect on students well-being is not universal and might depend on various individual, cultural, and contextual factors. Exploration of these human-animal interactions is warranted.  2025 John Benjamins Publishing Company.</text>
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                <text>human-animal bond; human-animal interactions; pet ownership; satisfaction with life; well-being</text>
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                <text>ISSN: 15720373;</text>
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                <text>Restricted Access; Hardcopy may be available in the library</text>
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                <text>Mondal, Sanjana; Samaddar, Kaushik</text>
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                <text>Exploring cybernetic approaches to sustainable co-working spaces in emerging economies: a sentiment analysis</text>
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                <text>Mondal S., School of Business and Management, CHRIST (Deemed to be University), Bengaluru, India; Samaddar K., SIU SIBM Bengaluru, Bangalore, India</text>
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                <text>Purpose  In quest of achieving long-term sustainability of co-working spaces (CWSs) and drawing on the cybernetic principles, this study aims to develop a resilient business model promoting economic viability, encouraging environmental responsibility and reinforcing its social impact. Furthermore, to address the transformative shift in way people work in emerging economies, this study probed respondents from India and United Arab Emirates (UAE) and finally identified critical challenges and opportunities bringing in maximum customer satisfaction and achieving long-term business profitability. Design/methodology/approach  Using a multi-method qualitative triangulation approach (sentiment analysis), the study collected primary data from India and UAE, analysed through the grounded theory approach. Whereas secondary data in form of tweets was tested using text-mining approach using NVivo. The findings from the dual study were corroborated to identify common dimensions, leading to the development of a hypothetical framework. Findings  In CWSs business, dynamic organisation culture holds key in fostering future sustainability, and the study has explored its important antecedents like adaptive management, continuous innovation and technological integration. The impact of these antecedents was found to be moderated by two critical dimensions of regulatory challenges and competitive landscape. Furthermore, the study delved into connecting with the principles of circular economy moderating the impact of dynamic organisation culture towards long-term sustainability of CWSs. Practical implications  This study applies cybernetic principles alongside shared and circular economy frameworks to assess consumer perceptions of CWSs. The insights generated can guide researchers, entrepreneurs, urban planners and policymakers in designing flexible business models, strengthening community networks and exploring diverse revenue streams to enhance resilience and long-term growth. Originality/value  This research provides empirical evidence on the sustainability dynamics of CWSs, offering a balanced perspective on overcoming challenges and leveraging growth opportunities. Additionally, it bridges the concepts of cybernetics, shared economy and circular economy, presenting a novel framework for ensuring the sustainable development of CWS businesses.  2025 Emerald Publishing Limited</text>
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                <text>The research aims to measure the impact of usage of social media, academic pressure, and digital literacy, on mental health. It also aims to measure the mediating role of perceived stress on mental health of undergraduate students. Survey method was used for collecting data from a sample of 565 undergraduate students from state and private universities of Tamil Nadu, Karnataka, Andhra Pradesh, Telangana, and Kerala. EFA and Path analysis was used for testing and validating the conceptual model. The results showed that Social Media Usage increases Perceived Stress and negatively impacts Mental Health Outcomes both directly and indirectly through Perceived Stress. Academic Pressure increases Perceived Stress, which negatively impacts Mental Health Outcomes indirectly. Digital Literacy reduces Perceived Stress and has a positive effect on Mental Health Outcomes both directly and indirectly through reduced stress. Perceived Stress was found to have a significantly negative impact on the Mental Health Outcomes. The demographic variables namely; age, gender, living status, family type, and course type were found to have a significant impact on the usage of social media, academic pressure, digital literacy, perceived stress, and mental health scores of undergraduate students. The study also came up with interventions for managing mental health of under graduate students.  The Author(s) 2025.</text>
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                <text>Exploring digital twins: Attributes, challenges and risks</text>
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                <text>Attributes; Digital transformation; Digital twin; Digitalization; Industry 4.; Risk factors</text>
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                <text>The recent approach to digitalization and digital transformation is based on the focus of every industry to develop systems and practices for optimizing the operational phase of the product lifecycle and beyond. Digital twins have become the buzzword in the domain of digital transformation. These Digital twins, which are a virtual representation of real-world occurrences such as processes, services, or products offer a new perspective to digitalization. It has emerged from Industry 4.0 and involves a mapping of the real physical world and the virtual world through Digital Twinning. Artificial Intelligence, Cryptography, Blockchain, Big Data technologies, and IoT act as technology enablers for Digital Twins. The capability of Digital Twin is its ability to cater to diverse applications. Within a decade, it has penetrated deeply into every functional aspect of business right from Patient Health Information Systems to remote control and maintenance of satellites/ space stations and to agriculture. This chapter has a focus on the key attributes, challenges, and risk factors that pertain to digital twin technologies and provides adequate examples from diverse sectors. The key challenges of digital twin technologies include Modeling the unknown, Transparency, Interpretability, Interactions with physical assets, Large-scale computation, Physical realism, Future projections, Data management, Privacy, Security and Quality. The four facets of risks related to Digital Twins include restrictions in access to system resources, theft of intellectual property, lack of compliance, and integrity issues in data/information. Hence, additional efforts and a holistic approach towards privacy and security are required to manage these risks. The holistic approach should cover hardware, software, and firmware together with the information that passes between them. Further, it is required to ensure that system, assets and data are adequately protected. Digital Twin technologies provide enormous competitive advantage for an organization, and a more pragmatic approach for mitigation of risks associated with digital twins is required. This would involve co-creation of Digital Twins with clients along with combined extensive knowledge of physical assets, disruptive technologies and appropriate security measures.  2023 Nova Science Publishers, Inc. All rights reserved.</text>
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                <text>Ramakrishnan N.; Meenakumari J.</text>
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                <text>Digital Twins: The Industry 4.0 Use Cases: The Technologies, Tools, Platforms and Applications, pp. 38-60.</text>
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                <text>Nova Science Publishers, Inc.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173709322&amp;amp;partnerID=40&amp;amp;md5=c5f1b29592a1a2fd9eaf6b10be694e70" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173709322&amp;amp;partnerID=40&amp;amp;md5=c5f1b29592a1a2fd9eaf6b10be694e70&lt;/a&gt;</text>
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                <text>ISBN: 979-889113057-9</text>
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                <text>Ramakrishnan N., Lean Operations and Systems, School of Business and Management, CHRIST Deemed to be University, Bangalore, India; Meenakumari J., Edexeducom, Bengaluru, India</text>
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                <text>Exploring Drivers of Healthcare Utilization amongthe Working and Non-Working Elderly Population: Insights from LASI</text>
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            <name>Subject</name>
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              <elementText elementTextId="86236">
                <text>aging population; geriatrics; healthcare; utilization; working elderly</text>
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                <text>Background: The elderly population of India has been growing exponentially over the past few decades, caused by a decline in fertility and an increase in life expectancy. The growth eventually has transcended the disease burden on the public healthcare system. This calls for a need to evaluate the healthcare utilization pattern of the elderly based on their socioeconomic and working condition. Methods: Study used access to public and private healthcare services to measure healthcare utilization. Descriptive analysis and multivariable logistic regression were used to understand utilization patterns by working status and some selected sociodemographic parameters. All the results were reported at a 95% confidence interval. Results: Using the data from the first wave of Longitudinal Ageing Study in India (LASI) with a sample of 22,680 older persons 60 years and above. The study identified that 50% of the working elderly access private services; however, 26% access public healthcare services. It was found that the working status of the elderly alone did not influence access to healthcare services, but education is also an essential indicator for utilizing healthcare services. Further, factors such as gender, marital status, religion, wealth, tobacco usage, self-rated health, ADL and IADL were significant predictors of healthcare services utilization for the elderly. Conclusion: This study suggests that there are not many differences found among working and non-working status with healthcare utilization, although some sociodemographic indicators are associated with the utilization of healthcare services, highlighting that increasing health needs among the elderly requires strengthening the quality and appropriate public investment in health.  2024 Taylor &amp;amp; Francis Group, LLC.</text>
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                <text>Nath N.J.; Chaudhary A.; Kumar S.</text>
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                <text>&lt;a href="https://doi.org/10.1080/00185868.2024.2400527" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1080/00185868.2024.2400527&lt;/a&gt;
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                <text>Nath N.J., Department of Media Studies, CHRIST (Deemed to be University), Bangalore, India; Chaudhary A., Department of Survey Research and Data Analytics, International Institute for Population Sciences, Mumbai, India; Kumar S., Department of Survey Research and Data Analytics, International Institute for Population Sciences, Mumbai, India</text>
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                <text>Nath N.J., Department of Media Studies, CHRIST (Deemed to be University), Bangalore, India; Chaudhary A., Department of Survey Research and Data Analytics, International Institute for Population Sciences, Mumbai, India; Kumar S., Department of Survey Research and Data Analytics, International Institute for Population Sciences, Mumbai, India</text>
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                <text>Background: The elderly population of India has been growing exponentially over the past few decades, caused by a decline in fertility and an increase in life expectancy. The growth eventually has transcended the disease burden on the public healthcare system. This calls for a need to evaluate the healthcare utilization pattern of the elderly based on their socioeconomic and working condition. Methods: Study used access to public and private healthcare services to measure healthcare utilization. Descriptive analysis and multivariable logistic regression were used to understand utilization patterns by working status and some selected sociodemographic parameters. All the results were reported at a 95% confidence interval. Results: Using the data from the first wave of Longitudinal Ageing Study in India (LASI) with a sample of 22,680 older persons 60 years and above. The study identified that 50% of the working elderly access private services; however, 26% access public healthcare services. It was found that the working status of the elderly alone did not influence access to healthcare services, but education is also an essential indicator for utilizing healthcare services. Further, factors such as gender, marital status, religion, wealth, tobacco usage, self-rated health, ADL and IADL were significant predictors of healthcare services utilization for the elderly. Conclusion: This study suggests that there are not many differences found among working and non-working status with healthcare utilization, although some sociodemographic indicators are associated with the utilization of healthcare services, highlighting that increasing health needs among the elderly requires strengthening the quality and appropriate public investment in health.  2024 Taylor &amp;amp; Francis Group, LLC.</text>
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                <text>With the advent of visual micro-blogging platforms like Instagram the communication environment for businesses has certainly undergone massive change. Over the years these platforms have evolved and brands have had to adapt themselves to gain visibility among the millennial audience by being available on the social media platforms. The disruptive force of these social media platforms has a great impact on the consumer decision making processes. As a result, consumers now rely more on recommendation from their peers. The sharing of views, experiences, opinions and expectations online by the users on various social media platforms have become a trusted source of information for the consumers. This had led to brands connecting to online celebrities known as Social media influencers (SMI) to distribute information and influence consumer's product perceptions i.e., the concept of influencer marketing. SMI's are referred to as online opinion leaders with large numbers of followers to drive messages through their promotional posts. A lot of research has been done to study the impact of celebrity endorsements but currently there is a gap in research pertaining to consumer's perspective towards the SMI's and SMI's effects on consumers. The online survey of self -concept and alters its buying intentions when an influencer posts promotional conducted in the studies how the likeability and personality traits of an influencer affects the consumer understanding posts on Instagram. Significant relationships were found for both, the likability traits and consumer self-concept and personality traits and consumer self-concept. Also using predictive analysis, the extent to which each of the consumer self-concept statements affected the buying intentions was determined. These results provide practical implications for brand managers who plan to invest in influencer marketing.  2021 Ecological Society of India. All rights reserved.</text>
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                <text>Suresh A.S.; Balaji V.</text>
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                <text>Indian Journal of Ecology, Vol-48, pp. 56-63.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113722210&amp;amp;partnerID=40&amp;amp;md5=e9d6c3ef974ba1c24dee9b61d22a405b" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113722210&amp;amp;partnerID=40&amp;amp;md5=e9d6c3ef974ba1c24dee9b61d22a405b&lt;/a&gt;</text>
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                <text>ISSN: 3045250</text>
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                <text>Suresh A.S., School of Business and Management, Christ University, Bangalore, 560 029, India; Balaji V., School of Business and Management, Christ University, Bangalore, 560 029, India</text>
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                <text>College Teachers; COVID-19; Effectiveness; Mixed Method; Online-Teaching; Remote-Learning; Transition; Undergraduate</text>
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                <text>The study attempts to identify what is effective online teaching from teacher and student perspectives. What are the challenges faced by teachers which hampered effective online teaching? The study employed mixed method research design including a survey questionnaire and semi-structured interview. The study collected data from 500 students out of which 200 are boys and 300 are girls on effective online teaching. The study conducted semi-structured interview with eight college teachers through snowball sampling. The survey revealed that almost 80% of the teachers are not effective. Girls are less satisfied with online teaching transition of teachers than boys are. Similarly, postgraduates (PG) are not as satisfied as undergraduate (UG) students are. Interview data revealed themes and subthemes on challenges of effective online teaching faced by college teachers. Overall, the perceived online-teaching effectiveness is low, and further research may find the causes for the same.  2022 IGI Global. All rights reserved.</text>
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                <text>Prakasha G.S.; Benoy A.</text>
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                <text>Frontiers in Sustainable Cities;Volume;7;Issue;;Article No.;1655074;</text>
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                <text>&lt;a href="https://doi.org/10.3389/frsc.2025.1655074" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.3389/frsc.2025.1655074&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105016492163?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105016492163?origin=resultslist&lt;/a&gt;</text>
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                <text>Kottala S.Y., Institute for Advanced Medical Research and Training (IAMRAT), College of Medicine, University of Ibadan, Ibadan, Nigeria; Chanagala S., Gandhi Institute of Technology and Management - Hyderabad Campus, Hyderabad, India; Balaji C., Koneru Lakshmaiah Education Foundation, Vijayawada, India; Reddy V.V.N., Laki Reddy Bali Reddy College of Engineering, Vijayawada, India; Babu G.N.P.V., CHRIST (Deemed to be University), Bengaluru, India</text>
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                <text>Background: Understanding the drivers and boundary conditions of electric vehicle (EV) adoption is critical to fostering sustainable transportation. Building on perceived value and planned behavior theories, this study proposes a moderated mediation model in which perceived value influences both sustainability perception and purchase intentions, with household income, technology trust, and environmental knowledge serving as moderators. Methods: A cross-sectional survey of 496 licensed drivers familiar with EVs was conducted using validated multi-item scales. Data were analyzed in R using confirmatory factor analysis and structural equation modeling (lavaan), incorporating product-indicator interactions and 5,000-sample bootstrapping to test the direct, moderating, and mediating effects. Results: Consumers perceived value has a positive effect on sustainability perception (0.122, p?&amp;lt;?0.001) and purchase intentions (0.002, p?&amp;lt;?0.001). Household income also strengthens the relationship between perceived value and purchase intention (0.043, p?&amp;lt;?0.001). Digital innovation (0.285, p?&amp;lt;?0.001) and environmental concerns (0.411, p?&amp;lt;?0.001) dynamically influenced the perception of sustainability at a significant level, although social influence was not significant. Compared with other variables, sustainability perception had the greatest effect on consumers intention to buy an electric car (0.624, p?&amp;lt;?0.001) and served as a mediator in three out of four indirect connections between perceived value and purchase intention. The moderating effects of technology trust and environmental knowledge were not supported. Conclusion: These findings highlight the central roles of value and sustainability perceptions in EV adoption and identify income as a key boundary condition. Practical implications include tailoring incentives by income segment, investing in user-centric digital platforms, and emphasizing both economic and environmental benefits. Theoretically, this study extends technology acceptance models by integrating sustainability constructs and underscores the nuanced impact of socioeconomic factors on green consumer behavior. Copyright  2025 Kottala, Chanagala, Balaji, Reddy and Babu.</text>
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                <text>digital innovation; electric vehicles; environmental concerns; moderated mediation; perceived value; purchase intentions; sustainability perception</text>
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                <text>Frontiers Media SA</text>
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                <text>ISSN: 26249634;</text>
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                <text>All Open Access; Gold Open Access; Green Open Access</text>
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                <text>Sathyavani, Bandela; Poddutoori, Jaipal Reddy; Pawar, Sudarshan A.; Banerjee, Devleena; Muralidhar, L.B.; Kapila, Dhiraj</text>
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                <text>Exploring Emerging AI and IoT Technologies to Enhance Customer Relationship Management in 5G Networks</text>
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                <text>01-01-2025</text>
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                <text>2025 International Conference on Pervasive Computational Technologies, ICPCT 2025;pp.922-926</text>
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                <text>&lt;a href="https://doi.org/10.1109/ICPCT64145.2025.10941610" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICPCT64145.2025.10941610&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105002848175?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105002848175?origin=resultslist&lt;/a&gt;</text>
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                <text>Sathyavani B., Sr University, School of Engineering, Department of Eee, Telangana, Warangal, India; Poddutoori J.R., Solution Architect Affiliation Bbu, Downingtown, 19335, PA, United States; Pawar S.A., Pes Modern Institute of Business Studies, Marketing Management, Nigdi, Pune, India; Banerjee D., Christ University, India; Muralidhar L.B., School of Commerce, Jain (Deemed to Be University), Department of Management Studies, Karnataka, Bengaluru, India; Kapila D., Lovely Professional University, Department of Computer Science &amp;amp; Engineering, Punjab, Phagwara, India</text>
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              <elementText elementTextId="274470">
                <text>The convergence of artificial intelligence, Internet of Things for management of 5G networks to revolutionize customer relationship management. It enables customer engagement, efficiency and levels of personalization. The study explores the emergence of IoT and AI to enhance CRM framework within low-latency and high-speed infrastructure provided using 5G technology. Real time data collection with IoT and AI driven data analytics that offer actionable insights to enable customer behaviour, enabling adaptive and predictive CRM strategies. Additionally, enhanced connectivity with 5G technology to facilitate integration of smart devices to ensure interactive and consistent experience for the customers. The present study examined the operational and technical synergy between the technologies and has high impact on the efficiency of CRM, implementation challenges that include data security and privacy concerns.  2025 IEEE.</text>
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          <element elementId="49">
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            <description>The topic of the resource</description>
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                <text>5G Network; Artificial Intelligence; customer relationship management; Education; Internet of Things</text>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="274472">
                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>ISBN: 979-833150868-5;</text>
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                <text>Restricted Access; Hardcopy may be available in the library</text>
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