388
20
11858
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Dublin Core
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Dublin Core
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Reinventing the business model to navigate the evolving business landscape
Description
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In today's rapidly evolving business landscape, technological advancements, shifting consumer behaviours, and global economic fluctuations increasingly challenge traditional business models. Organisations must reinvent their business models to remain competitive, embracing innovation, agility, and sustainability. This chapter explores the critical components of reinventing business models, including leveraging digital transformation, adopting customer-centric approaches, and integrating sustainable practices through a comprehensive view of their development. This study thoroughly understands the existing literature on business models, focusing on the features. Integrating sustainability into a business model is also a challenge for many practitioners. The business model innovation agenda is the topic of discussion among most companies. This chapter will explore adopting a business model towards sustainability by integrating environmental, social, and governance factors. The findings underscore the necessity for continuous adaptation and strategic foresight to drive long-term success. 2024, IGI Global. All rights reserved.
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Tantia V.; Sukanya R.
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ESG and Ecosystem Services for Sustainability, pp. 259-282.
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IGI Global
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2024-01-01
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<a href="https://doi.org/10.4018/979-8-3693-3771-4.ch010" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-3771-4.ch010</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207565949&doi=10.4018%2F979-8-3693-3771-4.ch010&partnerID=40&md5=ee08dd542febd7abb5c4839a96e75784" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207565949&doi=10.4018%2f979-8-3693-3771-4.ch010&partnerID=40&md5=ee08dd542febd7abb5c4839a96e75784</a>
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ISBN: 979-836933772-1; 979-836933771-4
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Online
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English
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Book chapter
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Tantia V., Christ University, India; Sukanya R., Christ University, India
-
Dublin Core
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Dublin Core
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Synthesizing user comments to prospective viral interests on new media using sentiment analysis for effective data visualization premeditated for journalism 4.0
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Data visualization sentiment analysis; Journalism 4.0; Machine learning; Natural language processing; Parts of speech; SARS-CoV-2; Social media platforms; Twitter; Virtual reality; XGBoost
Description
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[No abstract available]
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Sethurajan M.R.; Natarajan K.
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Industry 4.0 Key Technological Advances and Design Principles in Engineering, Education, Business, and Social Applications, pp. 348-373.
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CRC Press
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2024-01-01
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<a href="https://doi.org/10.1201/9781003343332-17" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003343332-17</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200868087&doi=10.1201%2F9781003343332-17&partnerID=40&md5=14c6bf8885bc13f0f7b48eebabbb5c39" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200868087&doi=10.1201%2f9781003343332-17&partnerID=40&md5=14c6bf8885bc13f0f7b48eebabbb5c39</a>
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ISBN: 978-104004898-6; 978-103237687-5
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Online
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English
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Sethurajan M.R., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Kengeri Campus, Bengaluru, Karnataka, India; Natarajan K., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Kengeri Campus, Bengaluru, Karnataka, India
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Book Chapter
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Dublin Core
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Artificial intelligence its growing role in human resource management
Description
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In this competitive era, the impact of artificial intelligence in human resource management is increasing quickly. Collecting the relevant data and then analyzing it accurately can accelerate the efficient working process of the organization. Artificial intelligence has paved its way in the working of various departments like IT, finance, marketing, and HRM. In this research, the researcher focused on the emerging role of artificial intelligence in HR department and how it is acting as a stimulator in enhancing the efficiency and accuracy of various HR functions like recruitment, hiring, work- life balance, performance appraisal, etc. The chapter is based on descriptive research, in which the researcher has collected secondary data from various research papers, articles, blogs, and websites. The chapter focuses on the growing role of artificial intelligence in the human resource function of the organization. 2024, IGI Global. All rights reserved.
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Makhija M.; Jha P.; Dubey N.
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Employee Performance Management for Improved Workplace Motivation, pp. 231-261.
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IGI Global
Date
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2024-01-01
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<a href="https://doi.org/10.4018/979-8-3693-4387-6.ch010" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-4387-6.ch010</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216776593&doi=10.4018%2F979-8-3693-4387-6.ch010&partnerID=40&md5=dee03c528d80f8796e69270c887fd157" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216776593&doi=10.4018%2f979-8-3693-4387-6.ch010&partnerID=40&md5=dee03c528d80f8796e69270c887fd157</a>
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ISBN: 979-836934388-3; 979-836934387-6
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Online
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English
Type
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Book chapter
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Makhija M.; Jha P., Christ University, India; Dubey N., Galgotias University, India
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Dublin Core
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Title
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Unlocking the potential of AI for efficient governance: Innovative approaches of Bahrain
Description
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The rapid development and implementation of artificial intelligence (AI) technologies will have significant economic, social, and ethical impacts. Efficient governance is essential to maximize AI's benefits while minimizing its risks. Bahrain is positioning itself as a fintech hub, with AI playing a central role in this transformation. Bahrain's smart governance efforts will be strengthened by integrating AI into public services. E-government efforts will use AI to streamline processes, improve citizen experience, and build a more responsive and efficient public administration. The study provides an overview of how artificial intelligence (AI) is transforming various sectors in Bahrain with innovative approaches to boost productivity, better decision-making, and improve the general quality of services that may also impact the Bahraini economy. Bahrain continues to drive digital innovation, paving the way for a better and more prosperous future and sustainable development. Bahrain's digital transformation has been largely successful thanks to strong government measures. 2024, IGI Global. All rights reserved.
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Shaikh Z.H.; Irfan M.; Nomran N.M.; Ratnakaram S.P.K.
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AI-Driven Decentralized Finance and the Future of Finance, pp. 115-142.
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IGI Global
Date
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2024-01-01
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<a href="https://doi.org/10.4018/979-8-3693-6321-8.ch005" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-6321-8.ch005</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207619488&doi=10.4018%2F979-8-3693-6321-8.ch005&partnerID=40&md5=3d8eb1d41ece075fd13812dc49442b4c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207619488&doi=10.4018%2f979-8-3693-6321-8.ch005&partnerID=40&md5=3d8eb1d41ece075fd13812dc49442b4c</a>
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ISBN: 979-836936323-2; 979-836936321-8
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Online
Language
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English
Type
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Book chapter
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Shaikh Z.H., Kingdom University, Bahrain; Irfan M., Christ University, Bengaluru, India; Nomran N.M., Kingdom University, Bahrain; Ratnakaram S.P.K., Bahrain Polytechnic, Bahrain
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Book Chapter
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Dublin Core
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3Rs management: Advances and innovations in waste management and treatment
Description
An account of the resource
The increasing industrialisation and fast growth do not only pose problems related to the allocation of resources and powers, but also severely challenge the natural environment. Environmental degradation such as contaminated water, sinking groundwater levels, unhealthy soils, and polluted air has become a harsh reality in many parts of the world. One result of a rapid urbanisation, a slowly reducing gap between urban and rural, changing consumption patterns, and a growing population is the problem of waste. However, although it is the duty of the urban local bodies (ULBs) to address the issue of waste, tight budgets, inefficient organisation, has rendered a situation that has little hope for alleviation in the near future. This chapter aims to understand the concept of waste management through 3Rs. The focus is to identify the contemporary 3Rs practices and also develop advanced strategies for the same. 2024 by IGI Global.
Creator
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Jaiwant S.V.; Dheepa T.; Haridasan A.
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Municipal Solid Waste Management and Recycling Technologies, pp. 367-385.
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IGI Global
Date
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2024-01-01
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<a href="https://doi.org/10.4018/979-8-3693-4054-7.ch014" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-4054-7.ch014</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209477634&doi=10.4018%2F979-8-3693-4054-7.ch014&partnerID=40&md5=a55279147f1a309639a544f4657b2a2b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209477634&doi=10.4018%2f979-8-3693-4054-7.ch014&partnerID=40&md5=a55279147f1a309639a544f4657b2a2b</a>
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ISBN: 979-836934055-4; 979-836934054-7
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Online
Language
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English
Type
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Book chapter
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Jaiwant S.V., Christ University, India; Dheepa T., Christ University, India; Haridasan A., Christ University, India
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Title
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Book Chapter
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Dublin Core
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Gen z student expectations towards employer attractiveness: An indian perspective
Description
An account of the resource
A study was undertaken to determine Generation Z management students' perceptions as to what factors would attract them to seek a career in an organization, and their expectations in this context. Over 330 students from both first- and second- year management programs participated in the self- administered printed questionnaire based on 25- item employer attractiveness scale and included additional items like choosing the top five items from the 25 list. A focus group discussion was also undertaken to determine what the perceived benefit to the students was for each of the 25 items would deliver to them. The study also compared the findings with published research and notes the common factors in terms of employer branding, employee engagement industry studies on work and links to other models like Herzberg's hygiene factors. The results were compared to similar studies conducted in Sri Lanka and Australia and substantive similarities were reported. 2024, IGI Global. All rights reserved.
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Selvakumar J.J.; Pachiyappan S.; Suganya G.
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Employee Performance Management for Improved Workplace Motivation, pp. 459-482.
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IGI Global
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2024-01-01
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<a href="https://doi.org/10.4018/979-8-3693-4387-6.ch019" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-4387-6.ch019</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216731882&doi=10.4018%2F979-8-3693-4387-6.ch019&partnerID=40&md5=28cc60d252fcb997d5c00d880f2ba2db" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216731882&doi=10.4018%2f979-8-3693-4387-6.ch019&partnerID=40&md5=28cc60d252fcb997d5c00d880f2ba2db</a>
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ISBN: 979-836934388-3; 979-836934387-6
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Online
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English
Type
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Book chapter
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Selvakumar J.J., Christ University, India; Pachiyappan S., Christ University, India; Suganya G., Kumaraguru College of Liberal Arts and Science, India
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Book Chapter
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Dublin Core
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Title
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Leveraging unsupervised machine learning to optimize customer segmentation and product recommendations for increased retail profits
Description
An account of the resource
The retail sector's success hinges on understanding and responding adeptly to diverse consumer behaviours and preferences. In this context, the burgeoning volume of transactional data has underscored the need for advanced analytical methodologies to extract actionable insights. This research delves into the realm of unsupervised machine learning techniques within retail analytics, specifically focusing on customer segmentation and the subsequent recommendation strategy based on clustered preferences. The purpose of this study is to determine which unsupervised machine learning clustering algorithms perform best for segmenting retail customer data to improve marketing strategies. Through a comprehensive comparative analysis, this study explores the performance of multiple algorithms, aiming to identify the most suitable technique for retail customer segmentation. Through this segmentation, the study aims not only to discern and profile varied customer groups but also to derive actionable recommendations tailored to each cluster's preferences and purchasing patterns. 2024, IGI Global. All rights reserved.
Creator
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Upreti G.; Natarajan A.K.
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Intersection of AI and Business Intelligence in Data-Driven Decision-Making, pp. 257-282.
Publisher
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IGI Global
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2024-01-01
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<a href="https://doi.org/10.4018/979-8-3693-5288-5.ch009" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-5288-5.ch009</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215355117&doi=10.4018%2F979-8-3693-5288-5.ch009&partnerID=40&md5=fc8b21d99695328b29ed69b706d43a56" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215355117&doi=10.4018%2f979-8-3693-5288-5.ch009&partnerID=40&md5=fc8b21d99695328b29ed69b706d43a56</a>
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ISBN: 979-836935289-2; 979-836935288-5
Format
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Online
Language
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English
Type
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Book chapter
Coverage
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Upreti G., Christ University, India; Natarajan A.K., Samarkand International University of Technology, Uzbekistan
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Dublin Core
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Book Chapter
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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/.
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Digital financial literacy and its impact on financial behaviors: A systematic review
Description
An account of the resource
The dependence on digital financial technologies influences financial behaviors among people. This systematic review aims to identify and understand the variables interplay between digital financial literacy and financial behavior. The systematic literature review uses the PRISMA systematic review guidelines to identify and screen the literature. The results show there is a positive significant relation between digital financial literacy and financial behaviors. It was found that there are minimal studies on the variables interplaying between digital financial literacy and financial behavior. The interplaying variables identified are financial self-efficacy, financial confidence, self-control, financial autonomy, financial capability, psychological biases and digital, financial socialization, and socio-economic and demographic factors. This review develops a framework for future exploration explaining the relationship between digital financial literacy and financial behavior identifying financial wellbeing as the outcome. 2024 by IGI Global. All rights reserved.
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Jose J.; Ghosh N.
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Contemporary Research and Practices for Promoting Financial Literacy and Sustainability, pp. 147-179.
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IGI Global
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2024-01-01
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<a href="https://doi.org/10.4018/979-8-3693-0863-9.ch006" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-0863-9.ch006</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204552947&doi=10.4018%2F979-8-3693-0863-9.ch006&partnerID=40&md5=4f926be5a7a4957c7bc0b810a8383a59" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204552947&doi=10.4018%2f979-8-3693-0863-9.ch006&partnerID=40&md5=4f926be5a7a4957c7bc0b810a8383a59</a>
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ISBN: 979-836930864-6; 979-836930863-9
Format
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Online
Language
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English
Type
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Book chapter
Coverage
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Jose J., Christ University, India; Ghosh N., Christ University, India
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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/.
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Book Chapter
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Dublin Core
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Unveiling the potential of large language models: Redefining learning in the age of generative AI
Description
An account of the resource
Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) are transforming industries by fostering innovation, automating tasks, and enhancing creativity. By enabling personalized user interactions, sophisticated content creation, and advanced data analytics, they are revolutionizing industries such as healthcare, education, and customer service. As these technologies evolve, they can fundamentally change communication and decision-making processes and incorporate AI into everyday life. The objective of this book chapter is to examine the architecture and components, features, functionality, domain-specific applications, recent advances, and future developments of LLMs. Ongoing research aims to reduce biases, increase energy efficiency, and facilitate interpretation. As LLMs continue to evolve, they have the potential to transform many industries, including education, customer service, content creation, and more. As a result, they will be essential for the development of future AI-powered applications. 2024, IGI Global. All rights reserved.
Creator
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Varghese N.; Ramasamy G.
Source
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Intersection of AI and Business Intelligence in Data-Driven Decision-Making, pp. 389-414.
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IGI Global
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2024-01-01
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<a href="https://doi.org/10.4018/979-8-3693-5288-5.ch015" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-5288-5.ch015</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215356010&doi=10.4018%2F979-8-3693-5288-5.ch015&partnerID=40&md5=17ca9681c052fb62969736c252dc753a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215356010&doi=10.4018%2f979-8-3693-5288-5.ch015&partnerID=40&md5=17ca9681c052fb62969736c252dc753a</a>
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ISBN: 979-836935289-2; 979-836935288-5
Format
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Online
Language
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English
Type
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Book chapter
Coverage
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Varghese N., Christ University, India; Ramasamy G., Christ University, India
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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
A name given to the resource
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
A name given to the resource
The path to resilience: Exploring household financial vulnerability
Description
An account of the resource
Household financial vulnerability represents a significant financial challenge, predominantly impacting low and middle-income households when faced with sudden changes in income or expenses. At the household level, this vulnerability might arise as short-term liquidity issues or long-term solvency concerns. While household debt is a primary factor contributing to this vulnerability, elements like financial capability and the use of digital payments also play roles. The repercussions of household financial vulnerability encompass financial stress and potential bankruptcy, underscoring the critical need to comprehend its dynamics. Thus, this chapter aims to extensively explore household financial vulnerability, including its determinants, theoretical frameworks, assessment methodologies, and strategies for mitigation. 2024 by IGI Global. All rights reserved.
Creator
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Biju D.S.; Tantia V.
Source
A related resource from which the described resource is derived
Contemporary Research and Practices for Promoting Financial Literacy and Sustainability, pp. 20-49.
Publisher
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IGI Global
Date
A point or period of time associated with an event in the lifecycle of the resource
2024-01-01
Identifier
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<a href="https://doi.org/10.4018/979-8-3693-0863-9.ch002" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-0863-9.ch002</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204545036&doi=10.4018%2F979-8-3693-0863-9.ch002&partnerID=40&md5=252593e7c6460a3e72a84e23f88ed664" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204545036&doi=10.4018%2f979-8-3693-0863-9.ch002&partnerID=40&md5=252593e7c6460a3e72a84e23f88ed664</a>
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Restricted Access
Relation
A related resource
ISBN: 979-836930864-6; 979-836930863-9
Format
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Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Book chapter
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Biju D.S., Christ University, India; Tantia V., Christ University, India
-
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
A name given to the resource
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
A name given to the resource
Unraveling the complexity of thyroid cancer prediction: A comparative examination of imputation methods and ML algorithms
Description
An account of the resource
Despite being relatively rare, thyroid cancer is being identified more often as a result of improved awareness and detection. Even if it has a high survival rate, it is crucial to comprehend its forms, risk factors, and therapies. Better results and prompt intervention are made possible by the early detection of thyroid cellular alterations made possible by evolving machine learning (ML) techniques. The USA Cancer Data Access System's Thyroid Cancer Factor Data, gathered from patient questionnaires, are used in this study. Missing values and imbalance in the dataset are addressed using resampling techniques (SMOTE, under-sampling) and imputation techniques (Median, KNN). To increase the accuracy of thyroid cancer prediction and improve early identification and prognoses for improved patient care, a comparative analysis of machine learning algorithms (ML) (Logistic Regression, LDA, KNN, Decision Tree, SVM, Naive Bayes) with imputation and resampling techniques is being conducted. 2024, IGI Global. All rights reserved.
Creator
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Joshi H.; Vijayalakshmi A.; George S.M.
Source
A related resource from which the described resource is derived
Intersection of AI and Business Intelligence in Data-Driven Decision-Making, pp. 367-388.
Publisher
An entity responsible for making the resource available
IGI Global
Date
A point or period of time associated with an event in the lifecycle of the resource
2024-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.4018/979-8-3693-5288-5.ch014" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-5288-5.ch014</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215351928&doi=10.4018%2F979-8-3693-5288-5.ch014&partnerID=40&md5=e9f822045fc547e2386080211c858599" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215351928&doi=10.4018%2f979-8-3693-5288-5.ch014&partnerID=40&md5=e9f822045fc547e2386080211c858599</a>
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A related resource
ISBN: 979-836935289-2; 979-836935288-5
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Book chapter
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Joshi H., Christ University, India; Vijayalakshmi A., Christ University, India; George S.M., Christ University, India
-
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
A name given to the resource
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
A name given to the resource
Do flexible working hours influence employee skill enhancement and productivity? Evidence from polyvalent workers
Description
An account of the resource
This chapter investigates the influence of flexible working schedules affect the productivity and skill development of polyvalent workers. A thorough literature analysis guided the creation of a questionnaire that was given to 153 polyvalent workers as a sample. The gathered data was subjected to statistical analysis in order to determine how flexible work schedules affected worker productivity and skill development. The results show a strong correlation between flexible work schedules and increased productivity and skill development among employees. Furthermore, it was discovered that these results were significantly impacted by flexible working hours. Flexible schedules can help multitasking employees, who are skilled in a range of jobs, improve their productivity and further develop their skills. Companies that use polyvalent labour are encouraged to think about adopting flexible work schedules as a way to improve worker productivity and abilities. 2024, IGI Global. All rights reserved.
Creator
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Raj V.J.P.; Agrawal S.; Pachiyappan S.; Vellaiyan S.
Source
A related resource from which the described resource is derived
Employee Performance Management for Improved Workplace Motivation, pp. 373-389.
Publisher
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IGI Global
Date
A point or period of time associated with an event in the lifecycle of the resource
2024-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.4018/979-8-3693-4387-6.ch015" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-4387-6.ch015</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216738538&doi=10.4018%2F979-8-3693-4387-6.ch015&partnerID=40&md5=3236db43b264b347f38992f1dd4b2d31" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216738538&doi=10.4018%2f979-8-3693-4387-6.ch015&partnerID=40&md5=3236db43b264b347f38992f1dd4b2d31</a>
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Relation
A related resource
ISBN: 979-836934388-3; 979-836934387-6
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Book chapter
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Raj V.J.P., Christ University, India; Agrawal S., Christ University, India; Pachiyappan S., Christ University, India; Vellaiyan S., Christ University, India
-
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
A name given to the resource
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
A name given to the resource
The whispers in the halls: Unveiling the moderating effect of employee reviews on organization selection
Description
An account of the resource
Online employee reviews, a hallmark of the digital age, significantly shape organizational image and influence job seeker choices. This research explores how the sentiment (positive or negative) of information in these reviews moderates how job seekers perceive organizations and make decisions during the selection process. By analyzing data from 213 Indian academics, the study aims to understand how job seekers utilize review information and uncover how the reviews' presence and sentiment affect the relationship between organizational image and candidate choices. This research contributes valuable insights into the complex interplay between employer brand, online feedback, and talent acquisition in the digital age, informing strategic recruitment practices and enhancing understanding of contemporary talent acquisition strategies. 2024 by IGI Global. All rights reserved.
Creator
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Baber R.; Baber P.; Gulati C.; Di Virgilio F.
Source
A related resource from which the described resource is derived
Fostering Industry-Academia Partnerships for Innovation-Driven Trade, pp. 54-65.
Publisher
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IGI Global
Date
A point or period of time associated with an event in the lifecycle of the resource
2024-01-01
Identifier
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<a href="https://doi.org/10.4018/979-8-3693-3096-8.ch005" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-3096-8.ch005</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204627170&doi=10.4018%2F979-8-3693-3096-8.ch005&partnerID=40&md5=842a640989bc182b465b7c6d212ed376" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204627170&doi=10.4018%2f979-8-3693-3096-8.ch005&partnerID=40&md5=842a640989bc182b465b7c6d212ed376</a>
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Relation
A related resource
ISBN: 979-836933097-5; 979-836933096-8
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Book chapter
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Baber R., Christ University, Bengaluru, India; Baber P., Jiwaji University, Gwalior, India; Gulati C., Prestige Institute of Management and Research, Gwalior, India; Di Virgilio F., University of Molise, Italy
-
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
A name given to the resource
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
A name given to the resource
A review of reinforcement learning approaches for autonomous systems in industry 4.0
Description
An account of the resource
[No abstract available]
Creator
An entity primarily responsible for making the resource
Mohan B.H.K.; Padmaja P.; Durairaj M.; Nagamalleswrarao P.; Srinivasarao K.; Aurelia S.
Source
A related resource from which the described resource is derived
Industry 4.0 Key Technological Advances and Design Principles in Engineering, Education, Business, and Social Applications, pp. 392-404.
Publisher
An entity responsible for making the resource available
CRC Press
Date
A point or period of time associated with an event in the lifecycle of the resource
2024-01-01
Identifier
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<a href="https://doi.org/10.1201/9781003343332-19" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003343332-19</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200901171&doi=10.1201%2F9781003343332-19&partnerID=40&md5=e4f01e29131270437d13e4178a3a2dd1" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200901171&doi=10.1201%2f9781003343332-19&partnerID=40&md5=e4f01e29131270437d13e4178a3a2dd1</a>
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Restricted Access
Relation
A related resource
ISBN: 978-104004898-6; 978-103237687-5
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Book chapter
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Mohan B.H.K., CHRIST University, Bangalore, Karnataka, India; Padmaja P., Hyderabad Institute of Technology and Management, Hyderabad, India; Durairaj M., Bharathidasan University, Tiruchirappalli, Tamilnadu, India; Nagamalleswrarao P., Chalapathi Institute of Technology, Guntur, Andhra Pradesh, India; Srinivasarao K., ICFAI University, Hyderabad, Telangana, India; Aurelia S., CHRIST University, India
-
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
A name given to the resource
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
A name given to the resource
Exploring the ethical issues and considerations in neuromarketing
Description
An account of the resource
Neuromarketing is an interdisciplinary field consolidating neuroscience, psychology, and marketing, aiming to understand consumer behaviour at the subconscious level. However, as neuromarketing techniques become increasingly sophisticated, ethical issues and considerations have emerged as a focal point of debate and scrutiny. The paper critically evaluates foundational ethical principles, such as informed consent, beneficence and nonmaleficence, privacy and confidentiality, transparency, scientific or methodological rigor, predicting and influencing consumer choices, safeguarding the vulnerable population, and commitment to abiding and respecting the guidelines and codes of ethics. It also includes the emerging techniques and research, need for ethics and terms like neuroethics and brain privacy. 2024, IGI Global. All rights reserved.
Creator
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Sindhuja S.; Malik R.
Source
A related resource from which the described resource is derived
Sensible Selling Through Sensory Neuromarketing, pp. 144-163.
Publisher
An entity responsible for making the resource available
IGI Global
Date
A point or period of time associated with an event in the lifecycle of the resource
2024-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.4018/979-8-3693-4236-7.ch008" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-4236-7.ch008</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203441277&doi=10.4018%2F979-8-3693-4236-7.ch008&partnerID=40&md5=f1ef2e3f56197beba22494d551ae52ea" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203441277&doi=10.4018%2f979-8-3693-4236-7.ch008&partnerID=40&md5=f1ef2e3f56197beba22494d551ae52ea</a>
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Restricted Access
Relation
A related resource
ISBN: 979-836934237-4; 979-836934236-7
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Book chapter
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Sindhuja S., Christ University, India; Malik R., Chitkara Business School, Chitkara University, Punjab, India
-
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
A name given to the resource
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
A name given to the resource
AI as sustainable and eco-friendly environment for climate change
Description
An account of the resource
[No abstract available]
Creator
An entity primarily responsible for making the resource
Nanjundan P.; Thomas L.
Source
A related resource from which the described resource is derived
AI for Climate Change and Environmental Sustainability, pp. 1-18.
Publisher
An entity responsible for making the resource available
CRC Press
Date
A point or period of time associated with an event in the lifecycle of the resource
2024-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1201/9781003452393-1" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003452393-1</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200427598&doi=10.1201%2F9781003452393-1&partnerID=40&md5=0204151b1839098027c026aaa57070eb" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200427598&doi=10.1201%2f9781003452393-1&partnerID=40&md5=0204151b1839098027c026aaa57070eb</a>
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Restricted Access
Relation
A related resource
ISBN: 978-104008886-9; 978-103258906-0
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Book chapter
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Nanjundan P., Department of Data Science, Christ University, India; Thomas L., Department of Data Analytics, Dr N.G.P., Arts and Science College, India
-
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
A name given to the resource
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
A name given to the resource
Robo-revolution: How automated financial advisors are reshaping global finance
Description
An account of the resource
Robo-advisors have the potential to revolutionise the financial service industry by making it more accessible and affordable. This study provides a comprehensive overview of robo-advisors in the arena of financial markets and investments and their gaining popularity in the fintech industry, particularly in emerging markets like India. It also discusses the changing landscape of the financial sector in India, benefits and challenges of fintech, and the legal and ethical implications of roboadvisors. The current study presents a comparative study between India and UK markets in terms of acceptance and penetration of robo-advisors. It highlights leading robo-advisory firms in India. The data visualisation is done with the help of Microsoft Power BI and Microsoft Excel on the statista survey data. The expected results of this study assist several stakeholders, such as academicians, researchers, investors, stock brokers, regulators, and policy makers. 2024, IGI Global. All rights reserved.
Creator
An entity primarily responsible for making the resource
Upadhyay D.; Jaiswal V.; Ghosal I.; Shah S.M.A.R.
Source
A related resource from which the described resource is derived
AI-Driven Decentralized Finance and the Future of Finance, pp. 165-184.
Publisher
An entity responsible for making the resource available
IGI Global
Date
A point or period of time associated with an event in the lifecycle of the resource
2024-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.4018/979-8-3693-6321-8.ch007" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-6321-8.ch007</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207621621&doi=10.4018%2F979-8-3693-6321-8.ch007&partnerID=40&md5=e48391976cfec7f2348ebe53b2cf213a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207621621&doi=10.4018%2f979-8-3693-6321-8.ch007&partnerID=40&md5=e48391976cfec7f2348ebe53b2cf213a</a>
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Restricted Access
Relation
A related resource
ISBN: 979-836936323-2; 979-836936321-8
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Book chapter
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Upadhyay D., Department of Commerce, Christ University, India; Jaiswal V., Department of Commerce, Christ University, India; Ghosal I., Brainware University, Kolkata, India; Shah S.M.A.R., University of Engineering and Technology, Taxila, Pakistan
-
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
A name given to the resource
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
A name given to the resource
Elevating medical imaging: AI-driven computer vision for brain tumor analysis
Description
An account of the resource
Artificial Intelligence (AI) applications in the realm of computer vision have witnessed remarkable advancements, reshaping various industries and solving complex problems. In this context, this research focuses on the use of convolutional neural networks (CNNs) for classifying brain tumors - a crucial domain within medical imaging. Leveraging the power of CNNs, this research aimed to accurately classify brain tumor images into "No Tumor" and "Tumor" categories. The achieved test loss of 0.4554 and test accuracy of 75.89% exemplify the potential of AI-powered computer vision in healthcare. These results signify the significance of AI-driven image analysis in assisting healthcare professionals with early tumor detection and improved diagnostics, underlining the need for continuous refinement and validation to ensure its clinical effectiveness. This research adds to the expanding research and applications that harness AI and computer vision to enhance healthcare decisionmaking processes. 2024, IGI Global. All rights reserved.
Creator
An entity primarily responsible for making the resource
Vijayalakshmi A.; Joshi H.
Source
A related resource from which the described resource is derived
Intersection of AI and Business Intelligence in Data-Driven Decision-Making, pp. 331-350.
Publisher
An entity responsible for making the resource available
IGI Global
Date
A point or period of time associated with an event in the lifecycle of the resource
2024-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.4018/979-8-3693-5288-5.ch012" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-5288-5.ch012</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215352100&doi=10.4018%2F979-8-3693-5288-5.ch012&partnerID=40&md5=1d34a745d410b0ba491e8e95b091b34b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215352100&doi=10.4018%2f979-8-3693-5288-5.ch012&partnerID=40&md5=1d34a745d410b0ba491e8e95b091b34b</a>
Rights
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Restricted Access
Relation
A related resource
ISBN: 979-836935289-2; 979-836935288-5
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Book chapter
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Vijayalakshmi A., Christ University, India; Joshi H., Christ University, India
-
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
A name given to the resource
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
A name given to the resource
Transforming healthcare engagement in the medtech industry through digital marketing
Description
An account of the resource
[No abstract available]
Creator
An entity primarily responsible for making the resource
Gojanur B.; Padmapriya S.; Sanyal S.; Thangam D.
Source
A related resource from which the described resource is derived
Smart Healthcare Systems: AI and IoT Perspectives, pp. 57-68.
Publisher
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CRC Press
Date
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2024-01-01
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<a href="https://doi.org/10.1201/9781032698519-5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781032698519-5</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203221625&doi=10.1201%2F9781032698519-5&partnerID=40&md5=3e1d3eb6a37ca74c95f9fed693312929" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203221625&doi=10.1201%2f9781032698519-5&partnerID=40&md5=3e1d3eb6a37ca74c95f9fed693312929</a>
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Restricted Access
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ISBN: 978-103269851-9; 978-103269833-5
Format
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Online
Language
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English
Type
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Book chapter
Coverage
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Gojanur B., Christ (Deemed to be University), Bengaluru, Karnataka, India; Padmapriya S., Christ (Deemed to be University), Bengaluru, Karnataka, India; Sanyal S., Dhofar University, Salalah, Oman; Thangam D., Presidency College, Bengaluru, Karnataka, India
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Title
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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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Role of women in food and agricultural development: Breaking barriers for sustainable growth
Description
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The role of women in food and agricultural development in India is vital as it has an essential impact on the country's agricultural development. Despite all the contributions, they often face major obstacles, such as limited access to resources such as land, credit, innovation, and technology, and addressing these barriers is important. In this chapter, the authors have examined areas and levels of farm women's participation, such as the crops they grow, post- harvest activities, the workload they carry, and, despite all the struggles, how the women are underestimated. Their contribution is not limited to crop cultivation but also includes dairy, poultry, fishing, aquaculture, and forestry such as the wood processing sector. Due to men moving towards urban areas for better jobs and quality of life, women in rural areas are pressured to work in the fields; due to this, agriculture is feminized, and women shoulder a heavier workload than men. The underrepresentation of women is also seen in the employment rate and the pay they receive during seasonal, non- seasonal, and part- time employment. 2024, IGI Global. All rights reserved.
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Pradhan S.; Raksha G.S.; Akhil P.
Source
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Impact of Women in Food and Agricultural Development, pp. 130-148.
Publisher
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IGI Global
Date
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2024-01-01
Identifier
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<a href="https://doi.org/10.4018/979-8-3693-3037-1.ch008" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-3037-1.ch008</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203481389&doi=10.4018%2F979-8-3693-3037-1.ch008&partnerID=40&md5=2957f91e9b3ed078d31ed9faf31ec1dd" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203481389&doi=10.4018%2f979-8-3693-3037-1.ch008&partnerID=40&md5=2957f91e9b3ed078d31ed9faf31ec1dd</a>
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Restricted Access
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ISBN: 979-836933038-8; 979-836933037-1
Format
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Online
Language
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English
Type
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Book chapter
Coverage
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Pradhan S., Christ University, India; Raksha G.S., Christ University, India; Akhil P., Christ University, India