Sadhana Tiwari

Ms. Sadhana Tiwari


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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MAMohammad Asif
Mohammad Asif
MKMohd Naved Khan
Mohd Naved Khan
STSadhana Tiwari
Sadhana Tiwari
SWSHOWKAT KHALIL WANI
SHOWKAT KHALIL WANI
FAFIROZ ALAM
FIROZ ALAM
India’s financial inclusion has significantly improved during the last several years. In recent years, there has been a rise in the number of Indians who have bank accounts, with this figure believed to be close to 80% at present. Fintech businesses in India are progressively becoming more noticeable as the Government of India (GoI) continues to strive for expanding financial services to the underbanked sector of the population. To reach the underbanked segments of the population and provide a stable operating environment for fintech businesses, India must seek to increase financial inclusion. In this study, regression and correlation were employed, together with secondary data gathered from the RBI, to analyze this influence. The aim was to determine the impact of fintech and digital financial services on financial inclusion in India. According to the results, fintech businesses have significantly aided financial inclusion in this nation, especially for the middle class. These findings will be helpful for policy-makers working hard to bring every individual in this country into an organized financial system.

31 March 2023 in VEETHIKA-An International Interdisciplinary Research Journal
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SGSeema Gupta
Seema Gupta
STSadhana Tiwari
Sadhana Tiwari
The worth of wellbeing in human existence is incomprehensible. In the circle of wellbeing, as in any remaining areas, the advances delivered and concentrates on led in this field have brought about contrasts. The motivation behind this exploration is to take a gander at the requests in the area of wellbeing and to give models to recognizing the best innovation. Three new innovation improvements in writing are researched in this review. Inside the extent of the review, the ideas of edge processing, mist com putting, and distributed computing were investigated. These three thoughts have been concentrated in the writing, and regions where they can be leaned toward in the field of medical services have been given. Besides, the significance of futurist medical care frameworks, which will cover all wellbeing administrations, is featured at the finish of the review.

1 January 2023
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INIrsha Nazir
Irsha Nazir
STSadhana Tiwari
Sadhana Tiwari
The increasing number of cyber threats and attacks has led to the development and implementation of various cybersecurity measures to protect organizations and individuals from potential breaches. The field of machine learning (ML) has become promising technology in the field of cybersecurity, as it can help detect and prevent malicious activities in real time. This report presents a review of the current research on the impact of machine learning in cybersecurity. The research paper begins with an overview of the key concepts of machine learning and cybersecurity. It then provides an overview of the various ML techniques used in cybersecurity, including supervised, unsupervised, and reinforcement learning. The report then explores the various applications of ML in cybersecurity, such as intrusion detection, malware analysis, and anomaly detection. The report also discusses the benefits and limitations of ML in cybersecurity. Benefits include improved accuracy and speed of threat detection. In contrast, limitations include the potential for ML models to be tricked by sophisticated attacks and the requirement for vast volumes of data for the efficient training of ML models. Finally, the report provides a discussion on the future of ML in cybersecurity, including potential research directions and challenges to be addressed. These include the need for better explainability and interpretability of ML models, the development of adversarial ML techniques, and the integration of human expertise with ML-based cybersecurity solutions. Overall, this report highlights the significant impact of machine learning on cybersecurity and the potential for continued advancements in this field. With ongoing research and development, ML has the potential to greatly enhance the security of individuals and organizations against cyber threats.

1 December 2023 in Folia Oeconomica Stetinensia
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ASAshish Saxena
Ashish Saxena
STSadhana Tiwari
Sadhana Tiwari
SBShashank Bhardwaj
Shashank Bhardwaj
SSShweta Srivastava
Shweta Srivastava
DKDr Nitendra Kumar
Dr Nitendra Kumar
Research background: The worldwide fight against climate change and its impacts finds support in the realm of green financing. The realization of the United Nations’ sustainable objectives hinges upon it. Considering that green financing is hailed as the future of banking and investment, it demands a thorough comprehension. Purpose: The purpose of this study is to delve into the cutting-edge trends within the domain of green financing research. Employing a mixed-methods approach involving bibliometric and qualitative analysis, this research aims to provide insights into this vital field. Research methodology: Utilizing a mixed-methods approach, this study employs a bibliometric analysis, qualitative assessment, and content analysis to delve into the realm of green financing. Over a thousand interconnected papers are quantitatively analyzed, with validation from reputable sources such as Google Scholar, Web of Science, and ScienceDirect. Results: The study’s findings reveal a clear trajectory. China leads in the implementation of green finance within business operations, with the USA following suit. These results underscore crucial applications of green financing within specific research domains. Novelty: This study unveils significant applications of green financing across various research domains. Furthermore, it highlights methods to harness the potential benefits of green financing, thus promoting research and development advancements.

28 March 2023 in Journal of Business Management and Information Systems
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STSadhana Tiwari
Sadhana Tiwari
Since 1880, there has been an average annual increase in the ambient temperature of about 0.8° Celsius, which is what causes global warming. As a result of continued climate change, ocean water has become more acidic, and rising carbon levels have encouraged the development of green bonds. These bonds designed to benefit the environment. As people's understanding of sustainable development has expanded. The amount of money received through the selling of Programs that support the use of renewable energy sources, the growth of agriculture, fisheries, and poultry, as well as clean transportation, afforestation, the preservation of biodiversity, moderate fossil fuel consumption, and the slowed rate of global warming are funded with the help of green bonds. Studies show that some investors look for green bonds that give a fixed income as well as environmental protection and decision-making that takes into account positive societal effects or environmental benefits. The economy must embrace and promote the growing trend of green bonds. The principal of green bonds is paid out regularly to investors, and interest is paid when the bond matures. Bonds issued by corporations’ bear dividends. The World Bank's support for green bonds, the impact Indian green bonds have on Indian investors, and other topics are covered in this essay. An analysis of SBI's 2019 "green bonds" is provided in this essay. This essay makes an effort to give a comprehensive overview of the benefits and potential of green investments in order to assist sustainable development. There is a brief list of projects that were started using green bonds. This study includes a number of illustrations to support the global and Indian green bond issues. The issuance volumes for 2021, 2020, and 2019 are shown on this page. It has been suggested how the money raised by green bonds in 2021, 2020, and 2019 will be used for various purposes

31 December 2022 in Journal of Business Management and Information Systems
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STSadhana Tiwari
Sadhana Tiwari
In order to maximise the use of billions of customer records, AI-enabled customer journey analytics finds patterns in the data, generates very precise future forecasts, and highlights the key elements and possible roadblocks. In addition to helping businesses enhance customer loyalty and revenues, improve operational efficiency, improve decision-making, and deliver more relevant products and services, AI also helps businesses reduce their customer turnover rate. Since AI significantly contributed to redefining customer service in recent years, studies in this area have grown in popularity. A few research do, however, point out the important causes behind this evolution in the concept of customer experience. In order to address this gap in the academic literature, this study focuses on how a personalised approach to customer demands, improved service quality, and seamless service abilities acquired by AI have been able to give a better experience for the consumers.