Anuradha Jain

Scopus Publications

Safety and security in autonomous traffic systems management with AI: Economic implications of traffic optimization in smart cities
Anuradha Jain
IGI Global
Safety and security are critical pillars in managing autonomous traffic systems with AI, particularly in the context of smart cities. These systems integrate advanced technologies such as IoT, V2X communication, and machine learning to enhance traffic flow, reduce accidents, and optimize urban mobility. However, ensuring the reliability of these systems demands robust safety protocols to address challenges like mixed-traffic scenarios and unexpected system failures. Concurrently, cybersecurity measures are vital to counter threats such as hacking and data breaches that could compromise vehicle and infrastructure integrity. Economically the AI-driven traffic optimization reduces congestion, cuts fuel consumption, and improves productivity by minimizing travel delays. The shift to autonomous traffic systems fosters urban sustainability by decreasing emissions and promoting energy efficiency. While challenges remain in terms of public trust and regulatory frameworks, the economic and environmental benefits position these systems as transformative solutions for the future of urban mobility.

Examining the impact of CRM on customer satisfaction: a case of an Indian public sector bank
Bhavneet Kaur, Neelam Dhall, and Anuradha Jain
Inderscience Publishers

Policy and regulatory frameworks for financing smart healthcare
Anuradha Jain, Raj Kumar Singh, and Padam Bhushan
IGI Global
As smart healthcare technologies emerge as pillars of modern medicine, developing policy and regulatory frameworks for sustainable financing becomes imperative. Regulatory complexities, spanning data governance, interoperability, and cost-effectiveness, present challenges and opportunities in securing funding for AI, IoT, and digital diagnostics. Policymakers must navigate privacy concerns, ethical dilemmas, and market dynamics to create resilient funding strategies. International cooperation plays a pivotal role in achieving SDG 3 by harmonizing funding protocols and prioritizing equitable access to advanced healthcare across nations. This chapter examines financial policy frameworks needed to support long-term technology integration in global health, exploring funding sources, cost management, and ethical imperatives. By addressing regulatory gaps, enhancing intergovernmental collaboration, and aligning technological investments with health equity goals, policymakers can foster a sustainable future where smart healthcare is accessible to all.

Prospect theory and environmental finance: Navigating risk perceptions in the green economy
Anuradha Jain and Padam Bhushan
IGI Global
This paper delves into the intersection of behavioural economics through the lens of Prospect theory and environmental finance, focusing on how risk perceptions impact decision-making within the green economy. Prospect Theory, introduced by Kahneman and Tversky, elucidates the non-linear approach that individuals adopt when evaluating risky prospects, especially under loss aversion, framing, and subjective probability conditions. This study synthesizes theoretical underpinnings with empirical evidence, highlighting the implications of Prospect Theory in the environmental finance sector. Examining real-world case studies, we explore how the principles of risk perception shape investor behaviour, policy design, and market outcomes in green investments. Furthermore, the study offers critical insights into the role of cognitive distortions in steering the evolution of environmental finance as the world transitions to a low-carbon economy.

Sustainability of IPO returns in the Indian equity market
Urvashi Arya, Rajesh Tiwari, and Anuradha Jain
IGI Global
Sustainability of has attracted attention of researchers, policy makers, organisations and stakeholders. In the current era of geo-political uncertainty, sustainability of returns on investment has been a cause of concern for investors and portfolio managers. This study aims to conduct a holistic assessment to thoroughly analyse the Indian Initial Public Offering (IPO) industry over the years 2022–2023. The study will first assess the accuracy of IPO valuation by comparing initial returns with predicted values to ascertain if offers were overpriced or underpriced. A comparison of IPO returns at listing and 90 days after listing has been made with NIFTY 50 returns to measure market reaction and performance by using Wealth Relative Index. Statistical techniques have been employed to gather and evaluate data in order to extract valuable information that investors, financial analysts, and policymakers may use. Both companies and investors must engage in thorough research, maintain transparency, and monitor market trends to navigate the IPO landscape effectively.

Forecasting of Nifty 50 and Nifty Midcap 50 Stock Market Indices by using ARIMA Model

Monetary, Non-Monetary and Talent Management Measures in Higher Educational Institutions Using Deep Learning
Anuradha Jain
IEEE
The ongoing's review will probably look at how inspiration, which fills in as an intervening component, influences the impacts of non-monetary elements on worker maintenance. These non-monetary parts incorporate three sub-areas: a chance for vocation movement, acknowledgment, and improvement opportunity. Information were accumulated from higher training foundations arranged in Pakistan's different urban communities utilizing accommodation testing. The review was finished with the assistance of Shrewd PLS programming adaptation 3.0, and the example size was resolved utilizing G* power customized. Because of the Coronavirus pandemic, data was likewise assembled online by means of email and a Google overview structure. The result showed that non-monetary factors altogether and well influence worker maintenance. Moreover, inspiration plays an impressive intervening job in the connection between non-monetary components and representative maintenance. The examination on monetary, non-monetary, and talent the board systems in higher training foundations is momentarily summed up in this theoretical utilizing the point of view of deep learning. Scholarly organizations are quickly utilizing deep learning procedures to enhance their tasks and further develop understudy results in a period portrayed by fast mechanical forward leaps and developing contest inside the schooling area.

Analysis of consumer behaviour in e-purchasing online courses post COVID-19
Neha Anand, Kavita Indapurkar, and Anuradha Jain
Inderscience Publishers

Gratitude, social intelligence, and leadership among university teachers: mediation and moderation analysis
Naval Garg, Anuradha Jain, and B.K. Punia
Emerald
Purpose The purpose of this study is to investigate the linkage between gratitude and leadership among university teachers. It also tended to examine mediating and moderating effect of social intelligence amidst the relationship between gratitude and leadership. As social intelligence is a multi-dimensional concept, this paper explored mediating and moderating effect of three dimensions of social intelligence, i.e. social awareness, social skills and social information processing. Design/methodology/approach Mediation effect was examined with help of Baron and Kenny’s (1986) technique, Sobel test and bootstrapping estimates. Significance of interaction between independent variable (gratitude) and moderator (social intelligence) was investigated for moderation analysis. Findings The findings reported partial mediating effect of all three dimensions of social intelligence. No significant moderation effect was observed. Originality/value This is one of the pioneer studies that explored interrelationship between gratitude, social intelligence and leadership among Indian University teachers.

Workplace Spirituality and Job Satisfaction: Exploring Mediating Effect of Organization Citizenship Behaviour
Naval Garg, B. K. Punia, and Anuradha Jain
SAGE Publications
This decade witnesses renewed interest in research studies on workplace spirituality (WSP). The present research investigates the relationship between WSP and job satisfaction (JS) with the help of two approaches. First, with the help of necessary condition analysis (NCA), it is explored that whether WSP is a necessary condition for the occurrence of JS. Second, the mediation effect of organizational citizenship behaviour (OCB) in association amid WSP and JS is examined using Baron and Kenny’s (1986) technique of mediation analysis. A sample of 194 managers working in insurance companies is collected for the study. The study reports a positive correlation between all three variables of the study. Further, WSP does not come out as a necessary condition for JS. A partial mediation effect of OCB is reported. Practical implications and limitations are also discussed in the article.

Anuradha Jain

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