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                <text>X-Ray Spectral Variability of 13 TeV High-energy-peaked Blazars with XMM-Newton</text>
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                <text>Devanand P.U., Aryabhatta Research Institute of Observational Sciences (ARIES), Manora Peak, Nainital, 263001, India, Department of Applied Physics/Physics, Mahatma Jyotiba Phule Rohilkhand University, Bareilly, 243006, India; Gupta A.C., Aryabhatta Research Institute of Observational Sciences (ARIES), Manora Peak, Nainital, 263001, India; Jithesh V., Department of Physics and Electronics, Christ University, Hosur Main Road, Bengaluru, 560029, India; Wiita P.J., Department of Physics, The College of New Jersey, 2000 Pennington Road, Ewing, 08628-0718, NJ, United States; Gupta A., Department of Applied Physics/Physics, Mahatma Jyotiba Phule Rohilkhand University, Bareilly, 243006, India</text>
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                <text>We present a comprehensive study of the X-ray spectral variability observed in 13 TeV photon-emitting high-energy-peaked BL Lacertae objects (HBLs). These data come from 54 XMM-Newton EPIC-pn pointed observations made during its operational period from 2001 June through 2023 July. We performed spectral studies in the energy range of 0.6-10 keV by fitting X-ray spectra of the pointed observations with power-law and log-parabolic (PL and LP) models. We found at a 99% confidence level that 31 of these X-ray spectra were best fitted with a range of LP models with local photon indices (at 1.0 keV), ? ? 1.75-2.66, and convex curvature parameter ? ? 0.02-0.25. PL models with photon index ? ? 1.78-2.68 best described the spectra of 14-pointed observations. Nine PN spectra resulted in negative curvature parameters in fitting an LP model, and eight among them were significant (? ? 2?err). We fitted broken power-law models to these eight X-ray spectra and found spectral hardening in the range of ?? ? 0.06?0.54 for these observations. EPIC-MOS spectra were also studied for those eight observations to search for similar trends, and we were able to find them in only two, one observation each of PKS 0548-322 and Mrk 501. This indicates the possibility of the coexistence of an inverse Compton component along with the dominant synchrotron component for these two observations. We also performed correlation studies between various LP spectral parameters and briefly discuss their possible implications.  2025. The Author(s). Published by the American Astronomical Society.</text>
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                <text>Devanand P.U., Aryabhatta Research Institute of Observational Sciences (ARIES), Manora Peak, Nainital, 263001, India, Department of Applied Physics/Physics, Mahatma Jyotiba Phule Rohilkhand University, Bareilly, 243006, India; Gupta A.C., Aryabhatta Research Institute of Observational Sciences (ARIES), Manora Peak, Nainital, 263001, India; Wiita P.J., Department of Physics, The College of New Jersey, 2000 Pennington Rd, Ewing, 08628-0718, NJ, United States; Jithesh V., Department of Physics and Electronics, Christ University, Hosur Main Rd, Bengaluru, 560029, India; Gupta A., Department of Applied Physics/Physics, Mahatma Jyotiba Phule Rohilkhand University, Bareilly, 243006, India</text>
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                <text>We present an extensive X-ray spectral variability study of the TeV photon-emitting high-energy-peaked BL Lacertae object PG 1553+113, using the data from the EPIC-PN camera of XMM-Newton, which observed the source during its operational period from 2001 September to 2024 November. X-ray spectra in the energy range, 0.67.0 keV, were fitted with absorbed power-law (PL) and absorbed log-parabola (LP) models. We found with 99% confidence that 14 of them were fit well by LP models having parameters in the range ??2.132.80, and ??0.040.18, one spectrum flavors an LP model with ?&amp;lt;0, while simple PL models with ??2.532.69 were sufficient to describe the X-ray spectra of the remaining 15. Of these 30 observations, 2 showed strong signatures of an additional inverse Compton component, while 1 showed weaker indications. On fitting joint Optical Monitor and EPIC-PN data with LP models, we found synchrotron peaks in the energy range of ?s?4.5948.61 eV. This indicates that the spectral evolution is probably caused by variations in particle acceleration or cooling conditions within the jet.  2026. The Author(s). Published by the American Astronomical Society. Original content from this work may be used under the terms of the https://creativecommons.org/licenses/by/4.0/. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.</text>
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                <text>BL Lacertae objects (158); Blazars (164); X-ray active galactic nuclei (2035)</text>
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                <text>Diagnostic methods; Feature engineering; Image classification; Pre-built models; Statistical techniques; Support vector machines; Textural descriptors; X-rays</text>
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                <text>Various types of medical images are used as diagnostic tools for identifying pathologies in human bodies, and in this research, chest X-ray images are used as diagnostic tools. Several pre-built models are created by the participants of ImageNet competitions for non-medical images, and these models are also being used in medical image classification; for example, Khan et al. (Comput Methods Prog Biomed 196:105581, 2020) developed a model called Coronet and Narayan Das et al. (IRBM 1:16, 2020) proposed a deep transfer learning-based model. Instead of using the pre-built models, a different approach was taken to address this problem. A framework was created to extract the frequency and spatial domain-based features, along with the raw statistics of the images. The model proposed in this article using the SVM algorithm has reached accuracy levels ranging from 91% to 97% and sensitivity of 92% to 96% on various samples of test data of over 400 images.  2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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                <text>Yugandhar C.; Hiremath M.</text>
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                <text>Smart Innovation, Systems and Technologies, Vol-351, pp. 335-349.</text>
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                <text>ISSN: 21903018; ISBN: 978-981992467-7</text>
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                <text>Yugandhar C., Department of Computer Science, Christ University, Hosur Rd, Bhavani Nagar, S.G. Palya, Karnataka, Bengaluru, 560029, India; Hiremath M., Department of Computer Science, Christ University, Hosur Rd, Bhavani Nagar, S.G. Palya, Karnataka, Bengaluru, 560029, India</text>
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                <text>Social media activity was reported to have significantly increased during the pandemic period as most of the daily routines transformed into the digital space. This paper attempted to explore the politics of representation in digital space using Foucauldian theories of power and discipline. A qualitative exploration of the xenophobic attitudes and representation was conducted on 123 young adults to understand how health concerns associated with the pandemic influenced social representations and marginalization of certain social sections and how participants recognized and understood their contribution to this group polarization. Thematic analysis of participant opinions indicated a significant change in polarization and attitude towards out-groups following the pandemic outbreak. The existing hierarchical homogenization and polarization of the marginalized moderated by polarized political affinities were found to be translated into digital space intensifying xenophobic attitudes thereby contributing to the evolution of new digital cultures and hierarchies in digital literacy.  2022 UNIVERSIDADE FEEVALE All rights reserved.</text>
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                <text>Revista Conhecimento Online, Vol-2, pp. 180-195.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138796909&amp;amp;doi=10.25112%2Frco.v2.2869&amp;amp;partnerID=40&amp;amp;md5=59aa665526d9d6ab87bb151f198499f7" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138796909&amp;amp;doi=10.25112%2frco.v2.2869&amp;amp;partnerID=40&amp;amp;md5=59aa665526d9d6ab87bb151f198499f7&lt;/a&gt;</text>
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                <text>All Open Access; Gold Open Access</text>
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                <text>Jochan G.M., Department of Psychology, St Josephs University, Bangalore, India; Chakraborty R., Department of Psychology, CHRIST University, Bangalore, India; Arur A.A., Department of Psychology, CHRIST University, Bangalore, India</text>
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                <text>Dementia detection; Explainability; Explainable AI; LIME; SHAP</text>
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                <text>As technology progresses on a fast pace, it is imperative that shall be used in the field of medicine for the early detection and diagnostics of dementia. Dementia affects humans by deteriorating the cognitive functions, and as such many algorithms have been used in the detection of the same but all these algorithms remain a black box to the medical fraternity which is still dubious about the nature and credibility of the prediction. To ease this issue, the use of explainable artificial intelligence has been proposed and implemented in this paper, which makes it easy to understand why and how the model is giving a particular output. In this paper the XGBoost classification algorithm has been used which give an accuracy of 93.33% and to understand these predictions, two separate algorithms namely Local Interpretable Model-agnostic Explanations (LIME) and Shapely Additive Explanations (SHAP) have been used. These algorithms are compared based on the type of explanation they provide for the same input and thus the weakness of LIME algorithm has been found out at certain intervals based on the clinically important features of the dataset. On the other hand, both the algorithms make it easy for medical practitioners to understand the dominating factors of a predicted output thereby helping to eliminate the black-box nature of dementia detection.  2023 IEEE.</text>
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                <text>Sharma V.; Midhunchakkaravarthy D.</text>
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                <text>2023 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>&lt;a href="https://doi.org/10.1109/ICCCNT56998.2023.10307791" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICCCNT56998.2023.10307791&lt;/a&gt;
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                <text>Sharma V., Lincoln University College, Department of Computer Science and Multimedia, Kuala Lumpur, Malaysia, Christ (Deemed to Be University), Delhi-NCR, India; Midhunchakkaravarthy D., Lincoln University College, Department of Computer Science and Multimedia, Kuala Lumpur, Malaysia</text>
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                <text>XGBoost Design byMulti-verse Optimiser: An Application forNetwork Intrusion Detection</text>
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                <text>Computer networks; Intrusion detection; Machine learning; Multi-verse optimiser; Optimisation; Parameter tuning</text>
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                <text>This article presents the results of an experimental study, which aims to assess the efficiency of the performance of a novel multi-verse optimiser algorithm for the optimisation of parameters of a network intrusion detection system event classifier. The article gives an overview of computer network intrusion detection, outlines common issues faced by software solutions tackling this problem, and proposes using a machine learning algorithm to help solve some of these common issues. An XGBoost classification model with a multi-verse optimisation algorithm for adaptive search and optimisation is used to solve the network intrusion detection system event classifier hyper-parameter optimisation problem. Results of this experimental study are presented and discussed, the improvements compared to previous solutions is shown, and a possible direction of future work in this domain is given in the conclusion.  2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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                <text>Tair M.; Bacanin N.; Zivkovic M.; Venkatachalam K.; Strumberger I.</text>
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                <text>Lecture Notes on Data Engineering and Communications Technologies, Vol-126, pp. 1-16.</text>
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                <text>Springer Science and Business Media Deutschland GmbH</text>
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                <text>&lt;a href="https://doi.org/10.1007/978-981-19-2069-1_1" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-19-2069-1_1&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134593662&amp;amp;doi=10.1007%2F978-981-19-2069-1_1&amp;amp;partnerID=40&amp;amp;md5=dfcce8612e2829a60d34f56c1fbfd22f" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134593662&amp;amp;doi=10.1007%2f978-981-19-2069-1_1&amp;amp;partnerID=40&amp;amp;md5=dfcce8612e2829a60d34f56c1fbfd22f&lt;/a&gt;</text>
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                <text>ISSN: 23674512</text>
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                <text>Tair M., Singidunum University, Danijelova 32, Belgrade, 11000, Serbia; Bacanin N., Singidunum University, Danijelova 32, Belgrade, 11000, Serbia; Zivkovic M., Singidunum University, Danijelova 32, Belgrade, 11000, Serbia; Venkatachalam K., Christ (Deemed to be University), Bangalore, India; Strumberger I., Singidunum University, Danijelova 32, Belgrade, 11000, Serbia</text>
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                <text>Suma, T.S.; Sunil, M.P.</text>
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                <text>Yaj Bhava in teamwork: whole is greater than the sum of its parts</text>
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                <text>Team Performance Management;pp.1-17</text>
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                <text>&lt;a href="https://doi.org/10.1108/TPM-12-2024-0137" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1108/TPM-12-2024-0137&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105024439771?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105024439771?origin=resultslist&lt;/a&gt;</text>
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                <text>Suma T.S., Department of Commerce, Christ University, Bengaluru, India; Sunil M.P., Department of Commerce, Christ University, Bengaluru, India</text>
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                <text>Purpose  The purpose of this study is to extend contemporary teamwork theories by offering a value-based, ethically grounded model for managing teams in the current uncertain challenging environment. Design/methodology/approach  A qualitative content analysis of objectively shortlisted relevant verses from the Bhagavad Gita to identify its core principles. Findings  Incorporating Yaj Bhava into organizational practices can significantly enhance cohesion and success both at the Individual and Team level. Research limitations/implications  This study introduces Yaj Bhava as a value-driven approach that complements and extends existing teamwork theories. It shifts focus from external coordination to internal attitudes like selflessness, shared purpose and ethical contribution. This perspective encourages a deeper exploration of how inner dispositions shape team effectiveness. The framework opens avenues for cross-cultural research and invites the development of new tools to study teamwork through a value-based lens. It also challenges researchers to revisit core constructs such as trust, motivation and goal alignment from a more holistic and ethical standpoint. Practical implications  Applying the principles of Yaj Bhava encourages a shift in teamwork practices  where prioritizing collective well-being over individual recognition leads to more integrated and sustainable outcomes for organizations and society. Originality/value  This unique approach applies Indian Knowledge Systems to modern workplace challenges, bridging ancient wisdom with contemporary organizational needs.  2025 Emerald Publishing Limited</text>
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              <elementText elementTextId="269849">
                <text>Bhagavad G?t?; Cohesion; Collaborations; Cooperation; Coordination; Indian knowledge systems; Lokasa?graha; Mutual interdependence; Sacrifice; Selflessness; Teamwork; Yaj Bh?va</text>
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                <text>Agriculture; Arecanut; Community; Farmer well-being; Yellow leaf disease</text>
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                <text>Sullia taluk of Dakshina Kannada district has been receiving heavy rainfall for the past few years, having a huge impact on agriculture. Yellow leaf disease spreads from one fully grown tree to another and gradually to the adjacent trees. Arecanut plantations across the region developed the disease, reducing arecanut production. It has hit the livelihood of many farmers whose only source of income was the harvest of arecanuts. Apart from the fungal infection causing financial loss, farmers also face the brunt of gradually reducing agricultural yield in consecutive years. It is yet to be tackled with chemical treatment and hence stands tall as a problem causing an impact on the lives of farmers in Sullia. The current study explored the problem of climate change resulting in yellow disease and its impact on the well-being of plantation owners and workers in the context of Sullia whose culture is rooted in the land. A lack of awareness about mental health influencing the understanding of an epidemic interfering with the local way of life has been emphasized.  2025 Elsevier Inc. All rights are reserved including those for text and data mining AI training and similar technologies.</text>
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                <text>Chakshu Narayan A., Department of Psychology, CHRIST (Deemed to be University), Karnataka, Bengaluru, India</text>
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                <text>Asian Journal of Research in Business Economics and Management, Vol. 7, Issue 3, pp. 37-63, ISSN No. 2249-7307.</text>
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                <text>Haritha, V.N.; Ummesalma, M.</text>
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                <text>Yoga Hand Mudra Classification using Zernike Moments</text>
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                <text>2025 International Conference on Biomedical Engineering and Sustainable Healthcare, ICBMESH 2025 - Proceedings;</text>
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                <text>Haritha V.N., CHRIST University, Department of Data Science and Statistics, Bangalore, India; Ummesalma M., CHRIST (Deemed to be University), Department of Computer Science, Bangalore, India</text>
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                <text>This study introduces a novel approach to classifying yoga hand mudras using Zernike Moments, emphasizing their relevance in balancing the Tridoshas - Vata, Pitta, and Kapha, as per Ayurvedic philosophy. A dataset of 1,200 images was collected from yoga practitioners in Bangalore, representing six mudras in both correct ("RIGHT") and incorrect ("WRONG") positions, ensuring a balanced distribution. Zernike Moments were used to extract rotation-invariant shape features from the images. However, due to their lack of scale invariance, Scale-Adaptive Zernike Moments (SAZM) were introduced by incorporating a scaling factor to normalize object size. Image preprocessing involved resizing, Gaussian blur for noise reduction, and normalization. Feature extraction was followed by labeling, scaling, and classification using a Support Vector Machine (SVM). Comparative analysis showed that standard Zernike Moments achieved an accuracy of 55.32%, serving as the baseline. In contrast, SAZM significantly improved classification accuracy to 71.01%, highlighting the importance of scale invariance in gesture recognition. This work demonstrates how computational techniques can complement traditional knowledge, offering a promising direction for yoga-based wellness solutions. While SAZM showed superior performance, future work will address challenges like complex transformations to enhance model accuracy and applicability.  2025 IEEE.</text>
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                <text>Computer vision; Feature extraction; Gesture recognition; Image classification; Pattern recognition; Scale-invariant features; Support vector machines (SVM); Zernike moments</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>Classification Metrics; Edge Detection; Feature Extraction; Image Processing; SVM</text>
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                <text>Yoga is an ancient Indian practice that focuses on maintaining balance through various techniques like asanas and meditation. Traditional Indian yoga involves physical postures, regulated breathing, meditation, and relaxation techniques. The practice, rooted in physical, mental, and spiritual disciplines, offers numerous benefits. In this paper, we present an approach for classifying four prominent yoga poses: Goddess Pose (Utkata Konasana), Tree Pose(Vrksasana), Dead Body Pose (Savasana), and Downward Dog Pose (Adho Mukha Svanasana) using image processing techniques. The proposed methodology leverages sophisticated feature extraction techniques that analyse the posture's shape to help capture the details of the posture like the centroid, eccentricity, convex hull, etc. The subsequent classification process employs Support Vector Machines (SVM) enabling accurate categorization based on the extracted features. This blend of traditional wisdom and modern technology offers a promising tool for automating posture recognition, benefiting yoga practitioners and instructors, and can be extended to other real-life scenarios like odd posture detection.   2024 IEEE.</text>
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                <text>Jos J.; Angitha G.; Sengar S.</text>
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                <text>&lt;a href="https://doi.org/10.1109/TQCEBT59414.2024.10545216" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/TQCEBT59414.2024.10545216&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204434374&amp;amp;doi=10.1109%2FTQCEBT59414.2024.10545216&amp;amp;partnerID=40&amp;amp;md5=13bf797903d8d8799de8a6395ab4852b" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204434374&amp;amp;doi=10.1109%2fTQCEBT59414.2024.10545216&amp;amp;partnerID=40&amp;amp;md5=13bf797903d8d8799de8a6395ab4852b&lt;/a&gt;</text>
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                <text>Jos J., Christ (Deemed to Be University), Department of Data Science, Pune, India; Angitha G., Christ (Deemed to Be University), Department of Data Science, Pune, India; Sengar S., Christ (Deemed to Be University), Department of Data Science, Pune, India</text>
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                <text>Patent Number: 201941052225, Applicant: Rajesh R.&#13;
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                <text>You are not Sikkimese enough: Understanding collective action tendencies of old settlers in Sikkim using SIMCA</text>
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                <text>The current study analyses the motivators and inhibitors of collective action tendency using the Social Identity Model of Collective Action (SIMCA). The study was conducted with a minority and state-based repressed group known as the old settlers in Sikkim, India. The old settlers are a community that have been historically settled in Sikkim prior to the state's merger with India in 1975. They are racially and ethnically different from the majority population of northeasterners in Sikkim and face both institutional and interpersonal discrimination. A qualitative approach using semi-structured interviews with 11 old settlers was taken to delineate SIMCA variables  moral conviction, identity, injustice and efficacy  within the context of northeast India. Collective action was motivated through moral conviction via principles of equality and unequal treatment and outsider status, identity via politicisation of identity, creation of social movement organisations, injustice via anger and fraternal resentment and efficacy via marches and legal recourses. Collective action was inhibited through moral conviction via denial of violation, identity via acculturation, injustice via fear and efficacy via learned helplessness. These findings indicate that in state-based repressed groups, collective action tendencies must be understood from a context-specific lens that attempts to understand both motivating and inhibitory factors.  2024 Asian Association of Social Psychology and John Wiley &amp;amp; Sons Australia, Ltd.</text>
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                <text>Asian Journal of Social Psychology, Vol-27, No. 4, pp. 552-570.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189768098&amp;amp;doi=10.1111%2Fajsp.12614&amp;amp;partnerID=40&amp;amp;md5=ace68508a6f0f440437f7f92181f1480" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189768098&amp;amp;doi=10.1111%2fajsp.12614&amp;amp;partnerID=40&amp;amp;md5=ace68508a6f0f440437f7f92181f1480&lt;/a&gt;</text>
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                <text>Malu B., Jindal Institute of Behavioural Sciences, O P Jindal Global University, Haryana, Sonipat, India; Belavadi S., Department of Psychological Sciences, School of Liberal Education, FLAME University, Pune, India; Chhabra S., Jindal Institute of Behavioural Sciences, O P Jindal Global University, Haryana, Sonipat, India; Rajan S.K., Department of Psychology, CHRIST (Deemed to be University), Bangalore, India; Dochania R., Jindal Institute of Behavioural Sciences, O P Jindal Global University, Haryana, Sonipat, India</text>
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                <text>You have to budget within the money you have: Intersections of immigration, health, and food insecurity in the South Bronx</text>
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                <text>Tripathi S., Binghamton University, United States; Azhar S., Fordham University, United States; Acharya A., Christ University, India; Keller E., Fordham University, United States; Weed J., BronxWorks, United States; Acevedo G., Fordham University, United States; Ross A.M., University of Pennsylvania, United States</text>
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                <text>This study explored food insecurity in the Bronx using a community-based participatory approach, including 38 interviews with food pantry users, four interviews with social service administrators, and two focus groups with 12 pantry staff and providers in New York City. Using a phenomenological framework, we identified three key themes: (1) negative impact of immigration status on food insecurity, (2) competing financial demands and limited access to social service assistance; and (3) adverse effects on physical and mental health. Findings highlight the relationships between food insecurity and immigration status. The costs of securing legal residency and sending remittances home contributes to the financial strain and poor health outcomes among immigrant communities in the South Bronx. Immigrants faced additional barriers that exacerbated these vulnerabilities, including language barriers and limited access to social services. With rising food costs due to inflation and uncertainties regarding potential cuts to federal food assistance programs, addressing food insecurity in the Bronx has never been more critical. Ensuring equitable food access for all Bronxites requires developing trusted relationships with immigrant communities and strong community partnerships with local social service organizations.  2025 Urban Affairs Association.</text>
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                <text>community; development; Poverty</text>
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                <text>Young adult consumers perception of value proposition towards organic foods: a tweet based analysis using NVivo</text>
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                <text>Health attributes; Organic food; Sustainability; Value proposition</text>
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                <text>Given the increasing focus on sustainable food production, the present study investigates consumer perceptions of organic food and its value proposition. Twenty thousand tweets between May 7, 2020, and May 7, 2021, from Indian consumers concerning organic food were analyzed using the text analytics program (Nvivo) to find an ongoing conversational theme. The study demonstrates that value propositions highlighting personal health attributes (such as being nutritious, dairy-free, and gluten-free) and consumption benefits (like taste and deliciousness) significantly convince people to eat more organic food. Despite the documented environmental benefits associated with organic food consumption, our analysis of customer interactions revealed a limited focus on sustainability or ecological considerations. The study highlights the significance of creating covered messaging tactics targeting various clientele groups. Moreover, it underscores the consequence of employing complex value propositions that emphasize various advantages that promote sustainable consumption practices among clients. Future studies could look into more inclusive platforms and demographic representations to understand peoples perceptions of organic food. Moreover, the implications extend to managerial strategies that support businesses in aligning product offerings with consumer preferences to create a more sustainable food environment.  The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2024.</text>
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                <text>Tripathi A.P.; Tripathi A.; Gupta S.</text>
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                <text>International Journal of System Assurance Engineering and Management</text>
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                <text>Tripathi A.P., School of Business and Management CHRIST (Deemed to be University), NCR, Delhi, India; Tripathi A., Jaipuria School of Business, Ghaziabad, India; Gupta S., Jaipuria School of Business, Ghaziabad, India, UCSI University Kuching, Kuching, Malaysia</text>
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                <text>Young Adults Consumption Patterns and Attitude towards Minimalist Lifestyle during COVID-19 Pandemic- An Exploratory Study</text>
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                <text>consumption patterns; COVID-19; market research; Minimalism; minimalist lifestyle; poverty; sustainable consumption</text>
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                <text>Purpose The COVID-19 pandemic disrupted the consumption patterns of people the world over. The patterns and trends of consumption that drive markets were no longer relevant during the pandemic. Newer factors drove the consumption decisions and consumers have changed their patterns. COVID pandemic enforced citizens globally to adopt minimalism. This research is aimed at qualitatively understanding the consumer experiences during the lockdown period and their future orientation towards a minimalist lifestyle. Method Participants were young adults of 18 to 25 years of age from India. A constructivist paradigm was adopted to understand the subjective meaning of their choices. Data was collected through Focused group discussions and content analysis was used to arrive at the themes. Findings Data revealed that priority was given to buying essential items during times of crisis. Stockpiling, conscious buying and simple living were the cornerstones of the consumption patterns. Practical implications Findings have implications for sustainable consumption practices with a minimalist approach. Understanding the future orientation of consumers towards adopting a minimalist lifestyle could help market researchers better understand sustainable consumption patterns, thereby helping them in tailoring their product marketing. The far-reaching implications of the results focus on green consumption values and ecological responsibility. Value This paper seeks to explore attitudes and beliefs on sustainable consumption in a young adult population during the Covid-19 outbreak and has implications for sustainable consumption practices using a minimalistic approach in the future.  2022 RESTORATIVE JUSTICE FOR ALL.</text>
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                <text>Chukkali S.; Kureethara J.V.; Viju P.D.; Nayar S.; Gupta T.</text>
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                <text>Youth Voice Journal, Vol-12</text>
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                <text>&lt;a href="" target="_blank" rel="noreferrer noopener"&gt;&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144371539&amp;amp;partnerID=40&amp;amp;md5=2e8ccc423aaa905746c13da3a2c08eea" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144371539&amp;amp;partnerID=40&amp;amp;md5=2e8ccc423aaa905746c13da3a2c08eea&lt;/a&gt;</text>
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                <text>ISSN: 20492073</text>
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              <elementText elementTextId="110347">
                <text>Chukkali S., Department of Psychology, CHRIST (Deemed to be University), India; Kureethara J.V., Department of Psychology, CHRIST (Deemed to be University), India; Viju P.D., Department of Psychology, CHRIST (Deemed to be University), India; Nayar S., Department of Psychology, CHRIST (Deemed to be University), India; Gupta T., Department of Psychology, CHRIST (Deemed to be University), India</text>
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          <element elementId="50">
            <name>Title</name>
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                <text>Young adults default intention: influence of behavioral factors in determining housing and real estate loan repayment in India</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="98197">
                <text>Emotion; Financial literacy; Home loan default intention; Housing and real estate; Indebtedness; Materialism; Risk perception; Young adults</text>
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              <elementText elementTextId="98198">
                <text>Purpose: The primary purpose of this paper is to determine the role of behavioral characteristics of young adults on housing and real estate loan default intentions. The behavioral factors considered in this study are financial literacy, materialism, emotions, indebtedness and risk perception. Design/methodology/approach: The sample frame comprises of young clients who have taken house loans and work in Indias metropolitan cities. These cities provide a higher quality of life, more employment possibilities and cheaper living costs. A systematic questionnaire was used, which was divided into six components. A total of 352 valid responses were collected and analyzed through a structural equation model. Findings: The findings suggest that financial literacy, materialism and risk perception have a considerable impact on loan default intention among young adults. The results also ascertained that emotion and indebtedness do not have a considerable impact on loan default intention among young adults. Research limitations/implications: The scope of this study is limited to Indias metropolitan cities. Future studies can examine comparative examinations of young adults working in the public and private sectors and those working in different cities across India. Practical implications: This paper contributes to a better understanding of behavioral variables which may lead to the creation of preventive measures for young defaulters. The findings of this study will help financial institutions to improve their credit-offering models. Originality/value: To the best of the authors knowledge, this study is the first to determine the role of behavioral attributes of young adults on housing and real estate loan default intentions in India. This work will be executable to all the stakeholders of the housing and real estate industry altogether.  2022, Emerald Publishing Limited.</text>
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              <elementText elementTextId="98199">
                <text>Thomas S.S.; George J.P.; Godwin B.J.; Siby A.</text>
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              <elementText elementTextId="98200">
                <text>International Journal of Housing Markets and Analysis, Vol-16, No. 2, pp. 426-444.</text>
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              <elementText elementTextId="98201">
                <text>Emerald Publishing</text>
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                <text>&lt;a href="https://doi.org/10.1108/IJHMA-01-2022-0012" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1108/IJHMA-01-2022-0012&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129144590&amp;amp;doi=10.1108%2FIJHMA-01-2022-0012&amp;amp;partnerID=40&amp;amp;md5=3692b4ed63f87fb6c180544e33815fe8" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129144590&amp;amp;doi=10.1108%2fIJHMA-01-2022-0012&amp;amp;partnerID=40&amp;amp;md5=3692b4ed63f87fb6c180544e33815fe8&lt;/a&gt;</text>
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                <text>ISSN: 17538270</text>
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            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="98206">
                <text>Online</text>
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            <description>A language of the resource</description>
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              <elementText elementTextId="98207">
                <text>English</text>
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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="98209">
                <text>Thomas S.S., School of Business and Management, CHRIST (Deemed to be University), Lavasa, India; George J.P., School of Business and Management, CHRIST (Deemed to be University), Lavasa, India; Godwin B.J., School of Business and Management, CHRIST (Deemed to be University), Lavasa, India; Siby A., School of Commerce, Finance and Accountancy, CHRIST (Deemed to be University), Lavasa, India</text>
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      <name>Article</name>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="79500">
                <text>Young adults experience of housing and real estate chatbots in India: effort expectancy moderated model</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="79501">
                <text>Artificial intelligence; Chatbots; Effort expectancy; Housing and real estate; Information system model; Young adult user experience</text>
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          <element elementId="41">
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            <description>An account of the resource</description>
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                <text>Purpose: This study aims to recognize the role of information system (IS) model on young adults experience of housing and real estate chatbots. This model of IS takes into account the quality of information, the quality of system and the quality of service. Design/methodology/approach: This study uses a sample frame for analysis which comprises young adult population in India, i.e. between the ages of 18 and 35. A questionnaire consisting of five components was used to collect information in a structured manner. The 386 responses thus collected were analysed using the structural equation model. Findings: It was found that there is a significant influence of the quality of information, quality of system and quality of service on young adults experience of housing and real estate chatbots. The findings also showed that there is moderation role of effort expectancy between the quality parameters and young adults user experience of housing and real estate chatbots. Research limitations/implications: This study focusses exclusively on the young adults from various parts of India. Future research can consider larger population categories across age groups and across sectors employing chatbots. Practical implications: This study will enable in-depth understanding of IS model  quality dimensions relation with the user experience. In particular, housing and real estate organisations will profit from the expanded usage of artificial intelligence through chatbots for user correspondence and communication. Originality/value: To the best of the authors knowledge, this study is first of its kind, as it investigates how IS model  quality dimensions affect the young adults experience of housing and real estate chatbots in India. This study also ventures into identifying the moderation role of effort expectancy between the quality dimensions as per IS model and young adults experience of housing and real estate chatbots. This study will be useful for the stakeholders of housing and real estate industry.  2023, Emerald Publishing Limited.</text>
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                <text>James B.V.; Joseph D.; Daniel N.</text>
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                <text>International Journal of Housing Markets and Analysis, Vol-17, No. 4, pp. 1050-1066.</text>
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                <text>&lt;a href="https://doi.org/10.1108/IJHMA-01-2023-0004" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1108/IJHMA-01-2023-0004&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152006530&amp;amp;doi=10.1108%2FIJHMA-01-2023-0004&amp;amp;partnerID=40&amp;amp;md5=7a93408499491af14b6b0a82168ef7ed" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152006530&amp;amp;doi=10.1108%2fIJHMA-01-2023-0004&amp;amp;partnerID=40&amp;amp;md5=7a93408499491af14b6b0a82168ef7ed&lt;/a&gt;</text>
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              <elementText elementTextId="79509">
                <text>ISSN: 17538270</text>
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                <text>James B.V., School of Commerce, Finance and Accountancy, CHRIST (Deemed to be University), Pune Lavasa Campus, Lavasa, India; Joseph D., School of Commerce, Finance and Accountancy, CHRIST (Deemed to be University), Pune Lavasa Campus, Lavasa, India; Daniel N., School of Commerce, Finance and Accountancy, CHRIST (Deemed to be University), Pune Lavasa Campus, Lavasa, India</text>
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                <text>Young adults socialization in housing and real estate purchase decisions in India</text>
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                <text>Family decision-making; Gratification; Housing and real estate; Product involvement; Symbol; Young adults socialization</text>
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                <text>Purpose: The purpose of this paper is to understand the influence of young adults socialization and product involvement on family housing and real estate purchase decision-making process. While previous studies have used these constructs in the fast-moving commercial goods category, this paper is considering the real estate family purchase decision as the core point of research and analysis. Design/methodology/approach: Data were collected from 429 young working adults across various sectors in India. The proposed conceptual framework is tested using structural equation modeling. Findings: The findings suggest that the teenagers with high social life have a better say in the decision-making process. It was also found that the young adults product involvement (measured in terms of gratification and symbol) construct shows how involved they are with the final decision-making in a family. The results suggested that the more young adult socializes, the more voice he has in the family housing and real estate decision-making process. Originality/value: This paper is the first to analyze the role of teenage socialization and product involvement on family housing and real estate purchase decision-making process. This paper will be practicable to all the stakeholders of the housing industry as a whole.  2020, Emerald Publishing Limited.</text>
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                <text>John S.S.; Balapure C.; Godwin B.J.</text>
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                <text>International Journal of Housing Markets and Analysis, Vol-14, No. 4, pp. 701-719.</text>
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                <text>John S.S., Institute of Management, CHRIST University  Pune Campus, Lavasa, India; Balapure C., Institute of Management, CHRIST University  Pune Campus, Lavasa, India; Godwin B.J., Institute of Management, CHRIST University  Pune Campus, Lavasa, India</text>
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                <text>Young consumers' green marketing orientation: role of customer citizenship behaviour in determining real estate purchase intention in India</text>
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                <text>Customer citizenship behaviour; Green marketing orientation; Purchase intention; Real estate; Strategic and tactical; Young consumers</text>
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                <text>Purpose: The purpose of this paper is to assess green marketing as an influential factor in the purchase of real estate. In this study, the consumer citizenship behaviour of young individuals will be studied with an assessment of real estate purchase intention, strategic green marketing orientation (GMO) and tactical GMO. Design/methodology/approach: The sample frame consists of young consumers from Indias metropolitan cities. The respondents were in the range of 18 to 35 years of age. These cities provide a high standard of living, more career options and better educational opportunities. Five separate sections of a standardised questionnaire were used, and a structural equation model was used to assess a total of 393 valid replies. Findings: Green marketing impacts the behaviour that influences the desire of young customer to buy green real estate. Research limitations/implications: As the focus of this study is primarily on major cities, future research may study similar behaviour in non-metropolitan cities. The study can also be conducted among consumers of other age groups. Originality/value: The originality, to the best of the authors knowledge, exists in examining how young consumers opinions about green marketing impact their intentions to purchase green houses and real estate in India. This study will be accessible to all parties involved in the housing and real estate industries.  2023, Emerald Publishing Limited.</text>
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                <text>Jacob J.; Chully A.A.; Godwin B.J.; George J.P.</text>
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                <text>International Journal of Housing Markets and Analysis, Vol-17, No. 4, pp. 1086-1103.</text>
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                <text>&lt;a href="https://doi.org/10.1108/IJHMA-01-2023-0002" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1108/IJHMA-01-2023-0002&lt;/a&gt;
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                <text>Jacob J., School of Business and Management, Christ University, Bangalore, India; Chully A.A., Christ College, Pune, India; Godwin B.J., School of Business and Management, Christ University, Bangalore, India; George J.P., School of Business and Management, Christ University, Bangalore, India</text>
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