309
20
16488
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Title
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Articles
Article
Faculty Publications -Articles
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Emotional intelligence and work life balance of women IT professional in Bangalore /
Subject
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Women IT Professionals
Description
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Adarsh Journal of Management Research, Vol.7, Issue 2, pp.241-253, ISSN No: 0974-7028.
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T. Ravikumar
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<a href="https://sanshodhancpb.co.in/index.php/ajmr/article/view/88288" target="_blank" title="Emotional intelligence and work life balance of women IT professional in Bangalore" rel="noreferrer noopener">https://sanshodhancpb.co.in/index.php/ajmr/article/view/88288</a>
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Adarsh Journal of Management Research
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2014-01-05
Language
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English
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Journal Article
-
https://archives.christuniversity.in/files/original/e24a6ee270a3995b31c3aabdcde75ddd.pdf
0194254928ced2b3a940d2af77f4671c
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Title
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MPHIL
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Mphil Thesis
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Title
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Emotional intelligence as a moderator between
Decision-making and Resilience among
Military Aspirants
Creator
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Alex Lilly Mary
Date
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2018
Source
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Psychology
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Title
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Articles
Article
Faculty Publications -Articles
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Title
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Emotional Intelligence as a Predictor of Police Operational Stress: A Pilot Study
Subject
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Altruistic behavior; Emotional intelligence; Emotional stability; Police operational stress; Self-motivation; Value orientation
Description
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The present study examined the relationship between police operational stress and emotional intelligence. The study also observed the difference in operational stress and emotional intelligence concerning gender, rank, education, and marital status. The sample included 80 police officers from Bangalore, India. The operational police stress questionnaire developed by McCreary and Thompson (2006) and emotional intelligence scale developed by Hyde et al. (2002) were used to measure police operational stress and emotional intelligence, respectively. Independent sample t-test and Cohens d indicated that differences in gender, rank, education, and marital status had no significant effect on police operational stress. Gender differences had a significant effect on the emotional intelligence factors, empathy, and self-motivation. Differences in rank had a significant effect on empathy, self-motivation, emotional stability, managing relationships, integrity, value orientation, and commitment. Differences in marital status had a significant effect on value orientation. Correlation analysis showed that operational stress had a significant negative relationship with emotional intelligence and its factors such as self-motivation, emotional stability, value orientation, and altruistic behavior. Regression analysis showed emotional intelligence and its factor, emotional stability, as significant predictors of police operational stress. 2021, Society for Police and Criminal Psychology.
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Rajan S.K.; Thomas M.W.; Vidya P.
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Journal of Police and Criminal Psychology, Vol-36, No. 3, pp. 568-578.
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Springer
Date
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2021-01-01
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<a href="https://doi.org/10.1007/s11896-021-09456-9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s11896-021-09456-9</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105958484&doi=10.1007%2Fs11896-021-09456-9&partnerID=40&md5=4710637391b7f8bc96d6b8952ec6f357" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105958484&doi=10.1007%2fs11896-021-09456-9&partnerID=40&md5=4710637391b7f8bc96d6b8952ec6f357</a>
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Restricted Access
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ISSN: 8820783
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Online
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English
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Article
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Rajan S.K., Department of Psychology, CHRIST (Deemed to be University), Bangalore, 560029, India; Thomas M.W., Department of Forensic Science, JAIN (Deemed to be University), Bangalore, 560027, India; Vidya P., Established Drug Business System Analyst, IQVIA, Bangalore, 560037, India
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Articles
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Faculty Publications -Articles
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Title
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Emotional intelligence, job satisfaction and psychological well-being among nurses in a tertiary care hospital
Subject
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Emotional Intelligence; Job Satisfaction; Nurse; Psychological well-being
Description
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Background: Emotional intelligence helps in preservation of mental health because of their effective emotional regulation skills. Objectives: We aimed to evaluate the impact of emotional intelligence on nurses job satisfaction and psychological well-being. Methods: This cross-sectional study was conducted in a tertiary hospital and included 120 nurses. Wong and Law Emotional Intelligence Scale, Psychological General Well-being scale and Job Satisfaction Survey questionnaires were used. Results: The study showed a low positive correlation between emotional intelligence and psychological wellbeing (r=0.313) and a low correlation between emotional intelligence and job satisfaction (r= 0.122). The emotional intelligence was significantly correlated to their psychological well-being (9.8%). Conclusion: Nurses with higher emotional intelligence experience greater psychological well-being. We did not find a link between emotional intelligence and job satisfaction. Implementing interventions to enhance emotional intelligence in nurses is crucial for improving psychological well-being and reducing burnout risk. The Author(s). 2024.
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Malayil C.; Krishnan G.; Sharma T.; Shetty S.B.; Pai K.; Gangadhara V.K.
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Indian Journal of Community Health, Vol-36, No. 5, pp. 737-740.
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Indian Association of Preventive and Social Medicine
Date
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2024-01-01
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<a href="https://doi.org/10.47203/IJCH.2024.v36i05.017" target="_blank" rel="noreferrer noopener">https://doi.org/10.47203/IJCH.2024.v36i05.017</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211216593&doi=10.47203%2FIJCH.2024.v36i05.017&partnerID=40&md5=fe79328ca4a700220dcc37d85465319f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211216593&doi=10.47203%2fIJCH.2024.v36i05.017&partnerID=40&md5=fe79328ca4a700220dcc37d85465319f</a>
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Restricted Access
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ISSN: 9717587
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Online
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English
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Article
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Malayil C., Malabar Cancer Center, Thalassery, Kannur, Kerala, Kodiyeri, India; Krishnan G., Department of Psychology, Christ (Deemed to be University), Karnataka, Bangalore, India; Sharma T., Department of Psychiatry, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, Karnataka, India; Shetty S.B., Department of Psychiatry, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, Karnataka, India; Pai K., Department of Psychiatry, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, Karnataka, India; Gangadhara V.K., Department of Psychiatry, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, Karnataka, India
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Conference Papers
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Faculty Publications- Conference Papers
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Title
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Emotional Landscape of Social Media: Exploring Sentiment Patterns
Subject
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Deep learning; Negative; Neutral; Positive; Sentiment analysis; Social media; Tweets; Twitter
Description
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Sentiment analysis, a pivotal research area, involves exploring emotions, attitudes, and evaluations prevalent in diverse public spheres. In the contemporary era, individuals extensively share their perspectives on various subjects through social media platforms. Twitter has emerged as a prominent microblogging site, facilitating users to express opinions and insights globally. However, disrespectful or unfair comments have prompted specific platforms to restrict user comments, highlighting the need to foster productive discourse on social media. This study addresses this imperative by analyzing sentiments using data from Twitter. This work employed various deep learning algorithms and methods to classify elements as negative or positive. The Sentiment140 dataset, sourced from Twitter, serves as the training data for the models to identify the most accurate classification approach. By delving into sentiment analysis on Twitter, the study contributes to a better understanding of the nuances of online expressions. It aims to enhance the overall quality of discourse in social media. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
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Jain K.; Panwar D.; Saini G.L.; Kumar S.
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Lecture Notes in Networks and Systems, Vol-969 LNNS, pp. 469-479.
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Springer Science and Business Media Deutschland GmbH
Date
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2024-01-01
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<a href="https://doi.org/10.1007/978-981-97-2082-8_33" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-2082-8_33</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196781697&doi=10.1007%2F978-981-97-2082-8_33&partnerID=40&md5=f7ef9af14bfa6a7579631a0c4bcc4eb5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196781697&doi=10.1007%2f978-981-97-2082-8_33&partnerID=40&md5=f7ef9af14bfa6a7579631a0c4bcc4eb5</a>
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ISSN: 23673370; ISBN: 978-981972081-1
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Online
Language
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English
Type
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Conference paper
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Jain K., Manipal University Jaipur, Rajasthan, Jaipur, India; Panwar D., Manipal University Jaipur, Rajasthan, Jaipur, India; Saini G.L., Manipal University Jaipur, Rajasthan, Jaipur, India; Kumar S., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to Be University), Kengeri Campus, Karnataka, Bangalore, 560074, India
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Articles
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Faculty Publications -Articles
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Title
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Emotional Maturity and Self-Perception Among Adolescents Living With HIVNeed for Life-Skills Intervention
Subject
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emotional maturity; HIV-infected adolescents; life-skills intervention care; self-perception
Description
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Among Adolescents Living With HIV (hereby referred to as ALWH), emotional maturity and self-perception gain importance because they play a decisive role in the overall development into adulthood. This study examines the relationship between self-perception and emotional maturity among ALWH. The sample comprised of 92 male and female ALWH, aged 13 to 18 years. Self-Perception Questionnaire and Emotional Maturity Scale were the tools used. Descriptive and inferential statistics were used for analysis. Correlation analysis showed a negative moderate relationship between Physical Competence and Global Self-Worth dimensions of self-perception and emotional maturity, with regression analysis confirming their predictive abilities. Discussions are focused on the relevance of the findings in terms of a need for a psychosocial life-skills intervention for the population. The Author(s) 2019.
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Gupta S.; Sudhesh N.T.
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Illness Crisis and Loss, Vol-30, No. 2, pp. 157-174.
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SAGE Publications Inc.
Date
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2022-01-01
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<a href="https://doi.org/10.1177/1054137319885261" target="_blank" rel="noreferrer noopener">https://doi.org/10.1177/1054137319885261</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075017356&doi=10.1177%2F1054137319885261&partnerID=40&md5=1c0f275e656f04dfd0ffc87caad6f805" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075017356&doi=10.1177%2f1054137319885261&partnerID=40&md5=1c0f275e656f04dfd0ffc87caad6f805</a>
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ISSN: 10541373
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Online
Language
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English
Type
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Article
Coverage
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Gupta S., Department of Psychology, CHRIST (Deemed to be University), Bengaluru, India; Sudhesh N.T., Department of Psychology, CHRIST (Deemed to be University), Bengaluru, India
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Title
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Articles
Article
Faculty Publications -Articles
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Title
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Emotional needs of women post-rescue from sex trafficking in India
Subject
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emotional needs; sex trafficking; sexual exploitation; survivor
Description
An account of the resource
Sex trafficking has persisted a social crime that maintains its status despite being unlawful. Since it prevails, there is a need to investigate it to understand the effects and consequences of the same on the survivors. The current study aims to understand the emotional needs of survivors post-rescue from sex trafficking living in aftercare homes in India and to look into survivors suggestions post-rescue to NGOs, society, family, government and police. It included ten survivors from sex trafficking, ages between 18 to 24years old. They are emerging adults who have experienced sex trafficking for at least one year, regardless of whether trafficking happened in childhood, adolescence or early adulthood, rescued one to five years ago. The researcher used a phenomenological approach. Thematic analysis was employed to identify themes within the data collected from the participants. Findings revealed that survivors had got a better life after the rescue, and they need acceptance, respect, understanding, and they need to develop trust on people around them. They still have many challenges post-rescue such as lack of education and job opportunities. They need guidance to start a new life. Mostly, sex trafficking survivors need safety and protection. 2019, 2019 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license.
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da Silva I.M.; Sathiyaseelan A.
Source
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Cogent Psychology, Vol-6, No. 1
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Cogent OA
Date
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2019-01-01
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<a href="https://doi.org/10.1080/23311908.2019.1631584" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/23311908.2019.1631584</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067825884&doi=10.1080%2F23311908.2019.1631584&partnerID=40&md5=a20ded7d22180d0a3e847b9227b30b19" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067825884&doi=10.1080%2f23311908.2019.1631584&partnerID=40&md5=a20ded7d22180d0a3e847b9227b30b19</a>
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All Open Access; Gold Open Access
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ISSN: 23311908
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Online
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English
Type
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Article
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da Silva I.M., Department of Psychology, Christ (Deemed to be University), Bangalore, India; Sathiyaseelan A., Department of Psychology, Christ (Deemed to be University), Bangalore, India
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Faculty Publications
Conference Paper
Faculty Publications- Conference Papers
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Iwendi, Celestine; Uwah, Salome Enoshi; Makinde, Babatope; Sharma, Vandana; Akande, Afeez; Orumwense, Austin
Title
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Emotionally Adaptive AI Companions for Supporting Routine Management in Autistic Adolescents
Date
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01-01-2026
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2026 2nd International Conference on Cognitive Computing in Engineering, Communications, Sciences and Biomedical Health Informatics, IC3ECSBHI 2026;pp.795-800
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<a href="https://doi.org/10.1109/IC3ECSBHI67834.2026.11469147" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IC3ECSBHI67834.2026.11469147</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105038110049?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105038110049?origin=resultslist</a>
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Iwendi C., University of Greater Manchester, Centre of Intelligence of Things, Bolton, United Kingdom; Uwah S.E., University of Greater Manchester, Centre of Intelligence of Things, Bolton, United Kingdom; Makinde B., University of Greater Manchester, Centre of Intelligence of Things, Bolton, United Kingdom; Sharma V., Christ University, Dept. of Computer Science, India; Akande A., University of Greater Manchester, Centre of Intelligence of Things, Bolton, United Kingdom; Orumwense A., Astrosec Ltd., Manchester, United Kingdom
Description
An account of the resource
Autistic Adolescents usually experience difficulties in the management of emotions, routine transitions and social cue interpretation. Many existing tools that aim to fill in the gap are often non-personalise, static or lack real-time responsiveness in handling these challenges. This study conceptualises and empirically validates a prototype of an emotionally adaptive AI companion that focuses on reducing stress due to routine transition, emotional regulation and social cue interpretation while increasing personalised management by providing contextual support. A quasi-experimental, mixed methods design is adopted. The core of this system conducts facial multimodal emotion recognition through facial expression and simulated voice tone using transfer learning across three CNN architectures (ResNet-18, MobileNetV2, and EfficientNet-B0) as comparison tests. The resulting emotion output is feeds into a contextual engine for real-time personalised interventions which can also be continuously improved through critical feedback-in-the-loop control architecture based on caregiver logs. The key model trade-offs are validated, the findings established that ResNet18 possesses the highest accuracy of 48%, EfficientNet-B0 with a superior F1 Score of 0.31 and MobileNetV2 proves to be efficient but slightly lower performance compared to other architectures. Simulated user feedback validation resulted in high preliminary acceptability, as high as 87.5% acceptability for an intervention like 'Reassurance'. This validated the utility of this responsive system. This transfer-learning based, multi-modal pipeline is robust. The results of the comparative analysis uncovered a very profound and instructive trade-off between the complexity of models, their efficiency, and performance metrics relating to accuracy versus the F1-score. 2026 IEEE.
Subject
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Addaptive system; Affective computing; autism disorder; contextaware systems; emotion recognition; human-in-the-loop; multimodal sensing; reinforcement learning; transition support
Publisher
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Institute of Electrical and Electronics Engineers Inc.
Relation
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ISBN: 979-833155691-4;
Language
A language of the resource
English
Type
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Conference paper
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Restricted Access; Hardcopy may be available in the library
Format
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online
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Title
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Faculty Publications
Book Chapter
Faculty Publications- Book Chapter
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Sharma, Durgansh
Title
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Empathetic Technology: Integrating Emotional Intelligence Into Assistive Devices for Aging Adults and Individuals With Disabilities
Date
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01-01-2025
Source
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Assistive Technology Solutions for Aging Adults and Individuals with Disabilities;pp.73-88
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<a href="https://doi.org/10.4018/9798369363089.ch004" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/9798369363089.ch004</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105007277180?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105007277180?origin=resultslist</a>
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Sharma D., Christ University, India
Description
An account of the resource
This chapter explores the emerging field of empathetic technology and its application in assistive devices for ageing adults and individuals with disabilities. It examines the integration of emotional intelligence into technological solutions, aiming to address functional needs and emotional and psychological well-being. The chapter delves into the foundations of emotional intelligence in technology, current applications, and future possibilities of empathetic assistive devices. It discusses key design principles, implementation strategies, and the challenges faced in developing these technologies. The text also covers methods for impact assessment and evaluation, with a strong emphasis on user-centred approaches, reassuring the audience about the thoroughness of the research. Mathematical models for quantifying emotional states, device performance, and user well-being are presented. Ethical considerations, including privacy concerns and cultural sensitivities, are addressed. The chapter focuses on the quality of life for ageing adults and individuals with disabilities. 2025 by IGI Global Scientific Publishing.
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IGI Global
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ISBN: 979-836936309-6; 979-836936308-9;
Language
A language of the resource
English
Type
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Book chapter
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Restricted Access; Hardcopy may be available in the library
Format
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online
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Book Chapter
Book Chapter
Faculty Publications- Book Chapter
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Empathy and compassion as fundamental elements of social cognition
Description
An account of the resource
This investigation into compassion and empathy highlights their crucial functions in social cognition, which influence engagements in various settings. Cultural dimensions underscore the significance of human connection by highlighting the societal influences that shape empathetic behaviours. The correlation between compassion, empathy, and mental health underscores their capacity to cultivate resilience. They make valuable contributions to communication and conflict resolution within interpersonal relationships. Efficacious interventions provide opportunities for individual development. Ethical considerations emphasize the importance of maintaining a delicate equilibrium between self-care and empathy. Ongoing technological and neurological research promises an expansion of applications. Cultivating kindness and compassion revolutionizes societies, ushering in an era of more significant global interdependence where mutual comprehension underpins all human engagements. 2024, IGI Global.
Creator
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Singha R.
Source
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Principles and Clinical Interventions in Social Cognition, pp. 40-61.
Publisher
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IGI Global
Date
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2024-01-01
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<a href="https://doi.org/10.4018/9798369312650.ch003" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/9798369312650.ch003</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190918621&doi=10.4018%2F9798369312650.ch003&partnerID=40&md5=98f362b07d41bf848e060d53466698c8" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190918621&doi=10.4018%2f9798369312650.ch003&partnerID=40&md5=98f362b07d41bf848e060d53466698c8</a>
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ISBN: 979-836931266-7; 979-836931265-0
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Online
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English
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Book chapter
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Singha R., Christ University, India
-
https://archives.christuniversity.in/files/original/3c5a9c372eaf0c077165bd8d722ab86a.pdf
6e621723d9d44491c27ab46f06bd4e55
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Empirical analysis of antecedent and mediators on turnover intention of educators in higher educational institutions
Subject
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Management
Description
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Employees are undoubtedly the key intangible asset to any organization. Fundamentally employees are the building blocks and they are the brand ambassadors of their organization to the society. Therefore, considering competition in today's world, retaining key employees is of genuine concern for every organization. Among many perils that organizations wrestle with, turnover intention is a persistent and pervasive issue that every organization has to face irrespective of the type and size of the organization.
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Varghese, Samini - 1440004
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CHRIST (Deemed to be University)
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English
Type
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PhD
-
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PHD
PhD
PhD Thesis
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61000127
Title
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Empirical analysis of antecedent and mediators on turnover intention of educators in higher educational institutions
Subject
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Management Studies
Description
An account of the resource
NA
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Varghese, Samini.
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Author's Submission
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Christ(Deemed to be University)
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2020-01-01
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Kumar, Jyothi
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Open Access
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PDF
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English
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PhD
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<a href="http://hdl.handle.net/10603/401296" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/401296</a>
-
https://archives.christuniversity.in/files/original/2c2b3bb0f49fffaa838a05542aea68f6.pdf
f534aade637026893b7143d1b866bd1c
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Thesis
Article
Faculty Publications -Articles
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Empirical analysis of antecedents and mediators of student loyalty among undergraduate business students in Bangalore, India
Subject
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Management
Description
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The higher education sector has undergone major changes throughout India which has led to increase in competition for institutions in this sector. Thus, there is a need to find ways to attract and retain the potential and current students. Student loyalty is crucial to create sustainable competitive advantage. Student loyalty is widely accepted as a critical factor in the long term economic success of an educational institution that aims at positive recommendation (word of mouth) by students and attracting the students back to the institution for further studies. Review of literature reveals that service quality, price fairness, customer value, customer satisfaction and affective commitment are key antecedents to customer loyalty.
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Phadke, Ms. Suniti Kishore - 0940004
Language
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English
Type
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PhD
-
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PHD
PhD
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61000003
Title
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Empirical Analysis of Antecedents and Mediators of Student Loyalty Among Undergraduate Business Students in Bangalore,India
Subject
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Management Studies
Description
An account of the resource
The higher education sector has undergone major changes throughout India which has led to increase in competition for institutions in this sector. Thus, there is a need to find ways to attract and retain the potential and current students. Student loyalty is crucial to createsustainable competitive advantage. Student loyalty is widely accepted as a critical factor in the long term economic success of an educational institution that aims at positive recommendation (word of mouth) by students and attracting the students back to newlinethe institution for further studies. Review of literature reveals that service quality, price fairness, customer value, customer satisfaction and affective commitment are key newlineantecedents to customer loyalty. newlineObjectives - The objectives of this research study are based on theoretical underpinnings in the literature. The main objectives of the study are: 1. To empirically test the proposed structural model of relationships among six constructs: educational service quality, perceived fee fairness, perceived value, student satisfaction, affective commitment, and student loyalty in the undergraduate business programs. 2. To analyze the influence of educational service quality and perceived fairness on student loyalty (ultimate dependent variable). 3. To examine the mediating effect of perceived value, student satisfaction, and affective newlinecommitment on the relationship between educational service quality and student loyalty. 4. To find out the mediating effect of perceived value and student satisfaction on the relationship between perceived fee fairness and student loyalty. 5. To find out the perceptual dimensions of student assessments of educational service quality, fee fairness, value, satisfaction, commitment and student loyalty. Variables of the Study newline1. Educational Service Quality Independent Variable (Exogenous variable) 2. Perceived Fee Fairness Independent Variable (Exogenous variable) 3. Perceived Value Mediating variable (Endogenous Variable)
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Phadke, Suniti Kishore.
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Author's Submission
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Christ(Deemed to be University)
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2012-01-01
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K, Anil Kumar.
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Open Access
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PDF
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English
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PhD
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<a href="http://hdl.handle.net/10603/364254" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/364254</a>
-
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Articles
Article
Faculty Publications -Articles
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Empirical analysis of borrowers' motivation to use online peer-to-peer lending platforms in India
Subject
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India; motivation-to-use; peer-to-peer lending platforms; perceived ease-of-use; perceived intention; perceived trust; perceived usefulness; technology acceptance model
Description
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Established on the technology acceptance model, this paper puts forward a model to understand the borrowers' motivation to use (MU) peer-to-peer (P2P) lending platforms. Data from 362 Indian users were employed to test the research model by applying structural equation modelling. The results show that perceived intention, ease of use, and usefulness have significant relation in motivating borrowers to use P2P lending platforms. However, borrowers' perceptions of trust had an insignificant impact on MU the P2P lending platform. When compared to the individual technology acceptance model, the integrated model provides further explanation regarding the motivation of borrowers to use P2P lending platforms. The study contributes to the theoretical area by identifying the factors that motivate borrowers to use P2P lending platforms for their short-term financial requirements, from a unified perspective. In addition, this research provides insights about borrowers' MU P2P lending platforms in India. Copyright 2023 Inderscience Enterprises Ltd.
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Gupta S.; Mahajan J.; Godwin B.J.
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International Journal of Electronic Finance, Vol-12, No. 2, pp. 142-162.
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Inderscience Publishers
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2023-01-01
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<a href="https://doi.org/10.1504/IJEF.2023.129916" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJEF.2023.129916</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153599644&doi=10.1504%2FIJEF.2023.129916&partnerID=40&md5=50059b5a684c61d1e6e378578a8d81b2" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153599644&doi=10.1504%2fIJEF.2023.129916&partnerID=40&md5=50059b5a684c61d1e6e378578a8d81b2</a>
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ISSN: 17460069
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Online
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English
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Article
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Gupta S., School of Business and Management, CHRIST (Deemed to be University), Pune Lavasa Campus, Maharashtra, India; Mahajan J., School of Business and Management, CHRIST (Deemed to be University), Pune Lavasa Campus, Maharashtra, India; Godwin B.J., School of Business and Management, CHRIST (Deemed to be University), Pune Lavasa Campus, Maharashtra, India
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Articles
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Empirical analysis of ensemble methods for the classification of robocalls in telecommunications
Subject
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Ensemble method; Machine Learning; Random Forest; Robocalls; XGBoost
Description
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With the advent of technology, there has been an excessive use of cellular phones. Cellular phones have made life convenient in our society. However, individuals and groups have subverted the telecommunication devices to deceive unwary victims. Robocalls are quite prevalent these days and they can either be legal or used by scammers to trick one out of their money. The proposed methodology in the paper is to experiment two ensemble models on the dataset acquired from the Federal Trade Commission (DNC Dataset). It is imperative to analyze the call records and based on the patterns the calls can classify as a robocall or not a robocall. Two algorithms Random Forest and XgBoost are combined in two ways and compared in the paper in terms of accuracy, sensitivity and the time taken. 2019 Institute of Advanced Engineering and Science. All rights reserved.
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Ghosh M.; Prabu P.
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International Journal of Electrical and Computer Engineering, Vol-9, No. 4, pp. 3108-3114.
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Institute of Advanced Engineering and Science
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2019-01-01
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<a href="https://doi.org/10.11591/ijece.v9i4.pp3108-3114" target="_blank" rel="noreferrer noopener">https://doi.org/10.11591/ijece.v9i4.pp3108-3114</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067249556&doi=10.11591%2Fijece.v9i4.pp3108-3114&partnerID=40&md5=5de1b797aa825326a6929c9d83c87dcc" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067249556&doi=10.11591%2fijece.v9i4.pp3108-3114&partnerID=40&md5=5de1b797aa825326a6929c9d83c87dcc</a>
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All Open Access; Gold Open Access; Green Open Access
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ISSN: 20888708
Format
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Online
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English
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Article
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Ghosh M., Department of Computer Science, Christ (Deemed to Be University), Hosur Main Road, Bangalore, 560029, India; Prabu P., Department of Computer Science, Christ (Deemed to Be University), Hosur Main Road, Bangalore, 560029, India
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Book Chapter
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Empirical Assessment of Artificial Intelligence Enablers Strengthening Business Intelligence in the Indian Banking Industry: ISM and MICMAC Modelling Approach
Description
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Considering the context of the issue based on literature survey and expert opinion, this study investigates the drivers of Artificial Intelligence (AI) implementation, which further strengthens the Business Intelligence (BI) in taking better decision-making industries in India. For the purpose of serving the objective of examining the enablers towards having a smarter AI ecosystem in banking, the relevance of identified enablers from exhaustive literature survey were discussed with the experts from banking sector and AI professionals. Based on their opinion, 15 final enablers were defined based on the data collected have been put through Interpretive Structural Modelling (ISM) that reveals the binary relationship between the enablers to draw a hierarchical conclusion, and then assess the enablers about their independence, linkage, autonomous character, and dependence based on their calculated driving and dependence power through MICMAC analysis. The ISM and MICMAC integrated approaches have been used to establish interdependence among the enablers of AI in banking in India context. The study reveals that strong algorithms result in building quality AI information, and also the efforts from management related to commitment, financial readiness towards technological advancement, training, and skill development are quite essential in making the baking system smarter and would enable the industry to take better management decision. 2023 selection and editorial matter, Deepmala Singh, Anurag Singh, Amizan Omar & S.B Goyal.
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Shekhar S.; Chandan
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Business Intelligence and Human Resource Management: Concept, Cases, and Practical Applications, pp. 161-189.
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Taylor and Francis
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2022-01-01
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<a href="https://doi.org/10.4324/9781003184928-8" target="_blank" rel="noreferrer noopener">https://doi.org/10.4324/9781003184928-8</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85156249642&doi=10.4324%2F9781003184928-8&partnerID=40&md5=0e6567f5124c7d4bcc126b7565b982fb" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85156249642&doi=10.4324%2f9781003184928-8&partnerID=40&md5=0e6567f5124c7d4bcc126b7565b982fb</a>
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ISBN: 978-100061934-8; 978-103202730-2
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Online
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English
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Book chapter
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Shekhar S., Logistics Division, MoC, Indian Institute of Foreign Trade (IIFT), New Delhi, India; Chandan, Department of Professional Studies, CHRIST (Deemed-to-be University), Bengaluru, India
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Conference Papers
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Empirical estimation of multilayer perceptron for stock market indexes
Subject
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Adaptive linear neuron (ADALINE); Back propagation (BP); Feed forward (FF); Mean of magnitude relative error (MMRE); Multi layer perceptron (MLP); Neural network (NN); Return on investment (ROI)
Description
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The return on investment of stock market index is used to estimate the effectiveness of an investment in different savings schemes. To calculate Return on Investment, profit of an investment is divided by the cost of investment. The purpose of the paper is to perform empirical evaluation of various multilayer perceptron neural networks that are used for obtaining high quality prediction for Return on Investment based on stock market indexes. Many researchers have already implemented different methods to forecast stock prices, but accuracy of the stock prices are a major concern. The multilayer perceptron feed forward neural network model is implemented and compared against multilayer perceptron back propagation neural network models on various stock market indexes. The estimated values are checked against the original values of next business day to measure the actual accuracy. The uniqueness of the research is to achieve maximum accuracy in the Indian stock market indexes. The comparative analysis is done with the help of data set NSEindia historical data for Indian share market. Based on the comparative analysis, the multilayer perceptron feed forward neural network performs better prediction with higher accuracy than multilayer perceptron back propagation. A number of variations have been found by this comparative experiment to analyze the future values of the stock prices. With the experimental comparison, the multilayer perceptron feed forward neural network is able to forecast quality decision on return on investment on stock indexes with average accuracy rate as 95 % which is higher than back propagation neural network. So the results obtained by the multilayer perceptron feed forward neural networks are more satisfactory when compared to multilayer perceptron back propagation neural network. Springer International Publishing Switzerland 2016.
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Chandra J.; Nachamai M.; Pillai A.S.
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Lecture Notes in Electrical Engineering, Vol-362, pp. 747-758.
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Springer Verlag
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2016-01-01
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<a href="https://doi.org/10.1007/978-3-319-24584-3_63" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-319-24584-3_63</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84955467086&doi=10.1007%2F978-3-319-24584-3_63&partnerID=40&md5=64fd8195a96a77d6d33531a9efabf624" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-84955467086&doi=10.1007%2f978-3-319-24584-3_63&partnerID=40&md5=64fd8195a96a77d6d33531a9efabf624</a>
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ISSN: 18761100; ISBN: 978-331924582-9
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Online
Language
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English
Type
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Conference paper
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Chandra J., Christ University, Bangalore, India; Nachamai M., Christ University, Bangalore, India; Pillai A.S., Hindustan University, Chennai, India
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PHD
PhD
PhD Thesis
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61000035
Title
A name given to the resource
Empirical evidence on usability of mobiles in health care
Subject
The topic of the resource
Management Studies
Description
An account of the resource
Healthcare industry today has seen a lot of innovation and transformation like any other industry. With technological advancements it is growing leaps and bounds. One of the major challenges before the world today is effective management of diseases. The healthcare industry has been benefitted with the usage of information and communication technology (ICT). When integrated properly this technology has the potential to provide solutions to increased demands in quality, efficiency and improved workflow to help streamline healthcare operations. newlineDeveloping countries today are facing an increasing incidence of non communicable and communicable disease. M-health has the potential to extend help in both the fronts. Peep into various scenarios reveal that majority of diseases that kill people in the rural areas are curable with little information and this information dissemination can happen through mobiles which have a deeper penetration than any other technology. Most of the innovations in mobile technologies have not been evaluated beyond the pilot stage. Thus there is a need newlineto evaluate these interventions for them to become acceptable and usable by the patients and healthcare professionals. Various researchers time and again have argued the need for usability studies in healthcare innovations. This study is unique as it caters to both the aspects: technology acceptance and health technology acceptance and the context of usability. There is a large pool of studies which are available for technology acceptance but for healthcare context there has to be a mix of technology acceptance behavior and health behavior newlineacceptance. Researchers like Nutbeam (1998) have highlighted the importance of health behavior which is defined as activities which individuals take up irrespective of their health status for the objective of health maintenance even if such behavior may not be effective in the end.
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Shukla,Vertika
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Author's Submission
Publisher
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Christ(Deemed to be University)
Date
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2016-01-01
Contributor
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Kumar, D N S
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Open Access
Format
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PDF
Language
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English
Type
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PhD
Identifier
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<a href="http://hdl.handle.net/10603/342881" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/342881</a>
-
https://archives.christuniversity.in/files/original/57d0bfef952dbfa346b329bea0e4e138.pdf
e680d124a80321ca1a54d0509d665e69
Dublin Core
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Title
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Thesis
Article
Faculty Publications -Articles
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Title
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Empirical evidence on usability of mobiles in healthcare /
Subject
The topic of the resource
Management
Description
An account of the resource
Healthcare industry today has seen a lot of innovation and transformation like any other industry. With technological advancements it is growing leaps and bounds. One of the major challenges before the world today is effective management of diseases. The healthcare industry has been benefitted with the usage of information and communication technology (ICT). When integrated properly this technology has the potential to provide solutions to increased demands in quality, efficiency and improved workflow to help streamline healthcare operations.
Creator
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Shukla, Vertika - 1140002
Publisher
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CHRIST (Deemed to be University)
Language
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English
Type
The nature or genre of the resource
PhD