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                <text>Kavitha S., Department of MBA, Dr. Ambedkar Institute of Technology, Mallathalli, Bangalore, India; Srinivasan S., Department of MBA, Nagarjuna College of Engineering and Technology, Bangalore, India; Manasa N., Department of Business and Management, CHRIST (Deemed to Be University) Yeshwantpur Campus, Bangalore, India; Band G., Department of Management Technology, Shri Ramdeobaba College of Engineering and Management, Nagpur, India; Kanetkar M., Department of Studies in Business Administration, C.P. &amp;amp; Berar E.S. College Ravinagar, Nagpur, India; Patnayak D., Department of Computer Science and Engineering, M. S. Engineering College, Bengaluru, India</text>
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                <text>Agarwal A., Christ University, India</text>
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                <text>Financial analytics integrates AI, ESG factors, and risk management to drive sustainable investments. It enables data-driven decision-making, optimizing financial and environmental outcomes. AI-powered tools like machine learning and predictive analytics enhance risk assessment and portfolio optimization. ESG integration ensures ethical and impactful investments. Despite challenges like data reliability, financial analytics is key to fostering a resilient, equitable, and sustainable global economy.  2026 by IGI Global Scientific Publishing. All rights reserved.</text>
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                <text>Al-Barkaat Journal of Finance &amp; Management, Vol.8, Issue 2, pp.19-31, ISSN: 0974-7281 (Print), 2229-4503 (Online).</text>
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                <text>Ramana, Nagella Venkata; Kumar, Mukesh; Vidyashree, D.V.; Chand Basha, S.; Pandey, Vivekanand; Kaliappan, S.</text>
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                <text>2025 IEEE International Conference on Emerging Trends in Computing and Communication, ETCOM 2025;</text>
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                <text>Ramana N.V., Madanapalle Institute of Technology and Science Deemed to be University, Department of Management Studies, Andhra Pradesh, Madanapalle, India; Kumar M., Maharshi Markandeshwar Institute of Management, MMDU, Department of Management, Mullana, India; Vidyashree D.V., Christ University, Department of Commerce, Karnataka, Bengaluru, India; Chand Basha S., St. Ann's College of Engineering and Technology, Department of Business Administration, Andhra Pradesh, Chirala, India; Pandey V., Amity University Patna, Department of Management, Bihar, India; Kaliappan S., Lovely Professional University, Division of Research and Development, Punjab, Phagwara, India</text>
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                <text>The gradual acceptance of payment banks in India constitutes an important challenge to equitable financial development, especially for underbanked rural communities. The proposed study handles the difficulty by examining financial behaviour through a hybrid machine learning methodology that integrates Principal Component Analysis (PCA) for dimensionality reduction with a Random Forest classifier for predictive modelling. The study utilises datasets obtained from Kaggle that reflect demographic, behavioural, and digital engagement variables. PCA preserves approximately 9 0% of variance while reducing feature complexity, allowing the Random Forest to effectively characterise adoption behaviour. In comparison to conventional classifiers such as Logistic Regression, SVM, and Decision Trees, the suggested model improved performance, attaining 96.7% accuracy, 95.8% precision, 97.1% recall, 96.4% F 1-score, and an AUC-ROC of 0.982. The findings exceed all chosen baselines, demonstrating the system's resilience and reliability. The approach provides behavioural insights essential for policy formulation and strategic engagement by pinpointing the most significant adoption determinants. This research greatly advances the digital banking sector by integrating data science with social impact, providing a clear, high-performing solution to inform financial inclusion policies. It establishes a basis for the development of future real-time and personalised adoption prediction systems utilising advanced AI methodologies.  2025 IEEE.</text>
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                <text>Behavioural Prediction; Digital Access; Digital Trust; Dimensionality Reduction; Ensemble Classifiers; Financial Behaviour Analysis; Financial Inclusion; Indian Banking; Machine Learning; Mobile Banking; Payment Bank Adoption; PCA; Principal Components; Random Forest</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>This study recommends using blockchains to track and verify data in financial service chains. The financial industry may increase its core competitiveness and value by using a deep learning-based blockchain network to improve financial transaction security and capital flow stability. Future trading processes will benefit from blockchain knowledge. In this paper, we develop a blockchain model with a deep learning framework to prevent tampering with distributed databases by considering the limitations of current supply-chain finance research methodologies. The proposed model had 90.2% accuracy, 89.6% precision, 91.8% recall, 90.5% F1 Score, and 29% MAPE. Choosing distributed data properties and minimizing the process can improve accuracy. Using code merging and monitoring encryption, critical blockchain data can be obtained.  2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.</text>
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                <text>Praghash K., Department of Electronics and Communication Engineering, Christ University, Bengaluru, India; Yuvaraj N., Department of Research and Publications, ICT Academy, IIT Madras Research Park, ManagerChennai, India; Peter G., CRISD, School of Engineering and Technology, University of Technology Sarawak, Sibu, Malaysia; Stonier A.A., School of Electrical Engineering, Vellore Institute of Technology, Tamil Nadu, Vellore, India; Priya R.D., Department of Computer Science and Engineering, KPR Institute of Engineering and Technology, Tamil Nadu, Coimbatore, India</text>
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                <text>Financial Capability and Decision Making Effects on Financial Wellbeing of Women in Community Based Organisations  </text>
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                <text>Financial Social Work (FSW) is a multi-disciplinary interactive approach that deals with financially vulnerable populations financial issues/solutions. FSW deals with individual, family and community wellbeing by increasing access to good financial services, asset-building opportunities, financial education and guidance. The two concepts newlineunderlying FSW are financial capability and financial wellbeing. Financial capability is increasingly becoming a priority for policymakers, social workers, academicians and organisations of economic and social newlinesignificance. In India, limited studies are available for measuring the financial capability of Indian citizens. While literature suggests various studies on financial capability and financial wellbeing, the focus on their combined effect has been limited. The feminisation of poverty is an newlineessential topic when discussing the capability and wellbeing of women. This refers to the increasing tendency for those in poverty to be women and children due to the reasons such as economic conditions, demographic composition and government policy. Hence, it is relevant to consider newlinewomen as the focus point of the study. The present study measures women s financial capability and examines how demographic factors influence the same. The study also explores the impact of financial capability on the decision making ability and financial wellbeing of women associated with Community Based Organisations (CBOs). It further newlineexamines whether the decision making ability mediates between financial capability and financial wellbeing. Primary data was collected from the respondents through a structured questionnaire to identify and establish these aspects. In total, 1000 women who were associated with the CBOKudumbashree in the state of Kerala, India, identified through the multistage sampling technique, participated in the survey-based study.</text>
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                <text>V K, Parvathy</text>
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                <text>Kumar, Jyothi.</text>
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                <text>&lt;a href="http://hdl.handle.net/10603/495993" target="_blank" rel="noreferrer noopener"&gt;http://hdl.handle.net/10603/495993&lt;/a&gt;</text>
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                <text>Financial capability and financial wellbeing of women in community-based organizations: mediating role of decision-making ability</text>
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                <text>Capability; Community-based organizations; Decision-making ability; Financial inclusion; Financial literacy; Social work; Wellbeing</text>
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                <text>Purpose: Financial capability is considered to be an important concept that has drawn the attention of many world nations. While the literature suggests various studies on financial capability and financial wellbeing, focus on their combined significance has been limited. The purpose of this paper is to examine how financial capability affects the financial wellbeing of women in community-based organizations and how decision-making ability mediated this relationship. Design/methodology/approach: In total, 1,000 women who are associated with the community-based organization  Kudumbashree in the state of Kerala, India participated in the survey-based study. Findings: The structural equation modelling results show that there exists a significant relationship between financial capability and the financial wellbeing of women in CBOs. Further, decision-making ability was identified as a significant mediator in this relationship thus establishing a partial mediation effect. Practical implications: The financial social workers can focus their activities on promoting financial capability and decision making aspects of women from middle/low income families to facilitate their financial wellbeing. The scope for financial socialisation and proper orientation is more for the women associated with the community based organisations. This opportunity can be made use by the government authorities and other practitioners to change their financial outlook and contribute towards the empowerment of these women from the grass root level. Originality/value: The studies related to financial literacy and financial inclusion are available in the Indian context, but the conceptualization of financial capability is still an under-researched area in India. Hence, this study is an attempt to explain the capability-wellbeing relationship from a financial point of view in the Indian context, and further establishes its connection with the individual's decision-making ability. To strengthen the research base, the study was conducted among the women in the community-based organization who belong to middle and low-income families.  2022, Emerald Publishing Limited.</text>
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                <text>Managerial Finance, Vol-48, No. 45939, pp. 1513-1529.</text>
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                <text>FINANCIAL DECISION-MAKING POWER AND RISK-TAKING BEHAVIOUR IN INDIAN HOUSEHOLDS</text>
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                <text>Gopal S., Symbiosis Institute of Business Management, (SIBM), Symbiosis International (Deemed University), Bengaluru, India; Munuswamy J., WOXSEN School of Business, WOXSEN University, Hyderabad, India; Prakash M., Department of Commerce, Christ University, Bengaluru, India</text>
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                <text>This study aims to examine the impact of decision-making power on risk-taking behaviour in household economies in India. It further explores the relationship between decision-making power, perceived risk-taking behaviour, and actual risk-taking behaviour. Further, the study employs the primary data collected through a structured questionnaire. The snowball sampling method was adopted to gather data from 312 retail investors in the study area. The response rate for the sample size is 91.50%. An OLS regression model was constructed to measure the frequency of trading habits as a proxy for the respondents' risk-taking behaviour. The results indicate that decision-making power significantly impacts investors' risk-taking behaviour in Indian household economies. Additionally, decision-making power has a significant impact on perceived risktaking behaviour. The findings of this study show how decision-making power influences the risk-taking behaviour of retail investors. This study adds value to the literature on behavioural finance and household economies. The results will pertinently support retail investors' decision-making skills in unbiased investment decision-making.  2025 by the author(s).</text>
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                <text>This paper investigates the pattern of the financial development convergence for the top (Europe and Central Asia) and the bottom (South Asia) globalized developing regions from 1984 to 2016. We employ the Philips-Sul club convergence approach to measure the financial development convergences speed. The results validate the convergence of financial development in all countries, including the top and bottom of globalized developing regions. Interestingly, the speed of financial development convergence is less in the bottom globalized developing region than in the top globalized developing region. However, these results vary across developing regions in the case of financial institutions and financial markets. Therefore, solid financial market governance can provide a productive and efficient financial system, particularly in the bottom globalized economies.  2023 The Author(s). Published with license by Taylor &amp;amp; Francis Group, LLC.</text>
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                <text>Emerging Markets Finance and Trade, Vol-60, No. 8, pp. 1599-1622.</text>
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                <text>Zhao Z., Institutes of Science and Development, Chinese Academy of Sciences, Beijing, China; Han D., International Business Strategy Institute, University of International Business and Economics (UIBE), Beijing, China; Pal S., Department of Humanities and Social Sciences, Indian Institute of Technology, Kharagpur, India, School of Business and Management, Christ University (Deemed to be University), Karnataka, Bangaluru, India; Mahalik M.K., Department of Humanities and Social Sciences, Indian Institute of Technology, Kharagpur, India; Gozgor G., School of Management, University of Bradford, Bradford, United Kingdom, Faculty of Political Sciences, Istanbul Medeniyet University, Istanbul, Turkey, Adnan Kassar School of Business, Lebanese American University, Beirut, Lebanon</text>
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                <text>Financial Distress and Value Premium using Altman Revised Z-score Model</text>
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                <text>Altman Z-score; Asset Pricing; Financial Distress; Portfolio Management; Value Premium</text>
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                <text>In the stock market, investors and value managers desire to be safe. Estimating equity returns and evaluating potential financial distress risk are essential for investment and trading decisions. The link between distress risk and stock return is controversial, and current literature yields contradicting results. A variety of models may be used to evaluate distress risk-return trade-offs. This paper employs a revised Altman Z-score to examine financial distress and value premiums. Using univariate and multivariate techniques, we examine firm- and industry-level portfolio returns, encompassing all Indian companies listed on the Bombay Stock Exchange (BSE). Results confirm the existence of the distress factor effect found in industry and firm-level portfolios. It shows that the distress risk factor significantly determines stock returns as an independent systematic risk factor. This result is consistently found in most industries. The study demonstrates the existence of a value premium in both distressed and safe zones. The study also used a multivariate GRS test and the Fama-Macbeth procedure to validate the reliability of the distress factor and pricing models. Results confirm that Altman model-based distress factor augmented models improve the performance of existing pricing models with higher reliability and accuracy.  2023 MDI.</text>
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                <text>Sharma B.; Srikanth P.; Jeevananda S.</text>
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              <elementText elementTextId="99739">
                <text>All Open Access; Bronze Open Access</text>
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                <text>ISSN: 9722629</text>
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                <text>Sharma B., Christ University, Mysore Road, Kengeri Campus, Karnataka, Bangalore, India; Srikanth P., Christ University, Mysore Road, Kengeri Campus, Karnataka, Bangalore, India; Jeevananda S., School of Business and Management, Christ University, Karnataka, Bangalore, India</text>
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              <elementText elementTextId="223351">
                <text>Victor, Melvin; Elangovan, N.; Halaswamy, Devla; Sonia, Mathew</text>
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              <elementText elementTextId="223352">
                <text>Financial Freedom, social Capital, and the Development of Rural Women Entrepreneurship in India; [?????????? ???????, ?????????? ??????? ? ???????? ??????????????????? ????? ???????? ?????? ? ?????]</text>
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              <elementText elementTextId="223354">
                <text>Finance: Theory and Practice;Volume;29;Issue;6;pp.93-106</text>
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                <text>&lt;a href="https://doi.org/10.26794/2587-5671-2025-29-6-1347-01" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.26794/2587-5671-2025-29-6-1347-01&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105028322504?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105028322504?origin=resultslist&lt;/a&gt;</text>
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                <text>Victor M., School of Business and Management, CHRIST University, Bengaluru, India; Elangovan N., School of Business and Management, CHRIST University, Bengaluru, India; Halaswamy D., School of Business and Management, CHRIST University, Bengaluru, India; Sonia M., School of Business and Management, CHRIST University, Bengaluru, India</text>
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                <text>Human resource development can only be achieved by promoting female entrepreneurship. There is a very low level of female entrepreneurship in India, especially in rural areas, which has recently been a cause for concern. Women are now aware of their existence, privileges, and employment circumstances.The subject of this research is female entrepreneurs in rural India, their contribution towards society, problems faced by women entrepreneurs in India, and initial steps taken by the administration for their development in Indias rural region. The research is explanatory. The primary data is used in the paper. The self-structured questionnaire was circulated to the women entrepreneurs in rural India. The data collected was analysed using a targeted sampling method in the Statistical Package for Social Sciences programme, followed by a study of the statistical results. During the survey, 44 respondents were interviewed. The results showed that among the most significant challenges were womens family responsibilities, gender inequality, financial difficulties, low risk inclination and competition between men and women. It was concluded that the challenges faced by women entrepreneurs could be addressed through appropriate incentives, training, encouragement, social recognition of their entrepreneurial capabilities and appropriate family support.  Victor M., Elangovan N., Halaswamy D., Sonia M., 2024.</text>
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                <text>entrepreneurship; gender inequality; rural region; SPSS; women entrepreneurs</text>
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              <elementText elementTextId="223359">
                <text>Financial University under The Government of Russian Federation</text>
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                <text>ISSN: 25875671;</text>
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                <text>Financial Inclusion and Human Development in Indian States: Evidence from the Post-Liberalisation Periods</text>
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                <text>Financial inclusion; human development; Indian states; panel data regression models; principal component analysis (PCA)</text>
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                <text>This article examines the existing synergy between financial inclusion and human development in Indian states during the post-liberalisation periods (19932015). Using both principal component analysis and panel data regression models, first, the impact of financial inclusion on human development is measured. Second, the reverse causality from human development to financial inclusion is estimated to know whether human development should be a pre-condition for ensuring greater financial inclusiveness in Indian states. It is found that financial inclusion has a positive and statistically significant impact on human development, along with other control variables such as social sector expenditure, per capita state gross domestic product and capital receipt. However, the lack of urbanisation (measured by the percentage of rural population) has a negative and significant impact on the process of human development in Indian states. On the other hand, since human development has also a significant reverse causal connection with financial inclusion, it is argued that ensuring financial inclusion through urbanisation measures would not only improve the level of human development in Indian states, but it would also sustain the process of inclusive development in itself due to the existing feedback loop with the later.  2022 Institute for Human Development.</text>
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                <text>Barik R.; Lenka S.K.; Parida J.K.</text>
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                <text>Indian Journal of Human Development, Vol-16, No. 3, pp. 513-527.</text>
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                <text>&lt;a href="https://doi.org/10.1177/09737030221141241" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1177/09737030221141241&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145388136&amp;amp;doi=10.1177%2F09737030221141241&amp;amp;partnerID=40&amp;amp;md5=09e6069a846e20156ef5274805b9e2a8" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145388136&amp;amp;doi=10.1177%2f09737030221141241&amp;amp;partnerID=40&amp;amp;md5=09e6069a846e20156ef5274805b9e2a8&lt;/a&gt;</text>
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                <text>Barik R., Department of Economics, ICFAI Business School, Telangana, Hyderabad, India; Lenka S.K., Department of Economics, School of Social Sciences, CHRIST (Deemed to be University), Bannerghatta Road Campus, Karnataka, Bengaluru, India; Parida J.K., Department of Economics, University of Hyderabad, Hyderabad, Telangana, Gachibowli, India</text>
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                <text>Financial inclusion and poverty alleviation: The alternative state-led microfinance model of Kudumbashree in Kerala, India</text>
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                <text>India; Kerala; Local Self-Governance; Microenterprise; Microfinance; Poverty</text>
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                <text>The study examines the microfinance and microenterprise model of Kudumbashree, the state poverty eradication mission of Kerala, and its impact on poverty alleviation in the state of Kerala in India. Kudumbashree's method of identification of the poor is seen to be superior to the conventional head count ratio as it captures the multidimensional characteristics of poverty leading to lesser chances of exclusion of vulnerable families. The microenterprise-linked microfinance model of Kudumbashree has established itself as an effective model linking the state, community, and financial organizations, differentiating itself from other NABARD-led self-help group (SHG) programmes or the Grameena model of microfinance institutions in the country. The fundamental idea of local economic development on which the microenterprise business is built is, however, not free from limitations. Heavy reliance on local markets for procuring inputs and selling outputs makes the products less competitive, questioning the sustainability of a business-led model in the absence of state subsidy in the longer run.  Copyright 2014 Practical Action Publishing.</text>
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                <text>Deepika M.G.; Sigi M.D.</text>
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                <text>Enterprise Development and Microfinance, Vol-25, No. 4, pp. 327-340.</text>
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                <text>&lt;a href="https://doi.org/10.3362/1755-1986.2014.030" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.3362/1755-1986.2014.030&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020940953&amp;amp;doi=10.3362%2F1755-1986.2014.030&amp;amp;partnerID=40&amp;amp;md5=29ba2a459c02fcd37b06b3b47893b2b8" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020940953&amp;amp;doi=10.3362%2f1755-1986.2014.030&amp;amp;partnerID=40&amp;amp;md5=29ba2a459c02fcd37b06b3b47893b2b8&lt;/a&gt;</text>
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                <text>ISSN: 17551978</text>
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                <text>Deepika M.G., School of Business, Amrita Vishwa Vidyapeetham, Bangalore, India; Sigi M.D., PU College, Christ University, Bangalore, India</text>
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                <text>Joseph, Jasmin; Philip, Samuel; Siby, Amala</text>
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                <text>Financial Inclusion as a Tool for Social Equity: A Focus on the Elderly and Underprivileged</text>
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                <text>Lecture Notes in Networks and Systems;Volume;1525 LNNS;pp.283-290</text>
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                <text>&lt;a href="https://doi.org/10.1007/978-981-96-9048-0_26" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-96-9048-0_26&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105028313191?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105028313191?origin=resultslist&lt;/a&gt;</text>
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                <text>Joseph J., CHRIST University, Bengaluru, India; Philip S., CHRIST University, Bengaluru, India; Siby A., CHRIST University, Bengaluru, India</text>
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                <text>Financial inclusion is a key element in reducing poverty and promoting economic growth, particularly for vulnerable groups such as the elderly and the poor. This article explores the multiple barriers that these groups face in accessing financial services, including economic constraints, discrimination, and lack of identification and credit history. The report highlights the special challenges that older people face due to limited mobility and digital literacy. The study emphasizes the importance of a multi-faceted policy approach to improving financial inclusion, including developing simplified financial products, expanding financial literacy programs, and working with NGOs. The paper focuses on effective strategies and proposes interventions aimed at empowering these populations and improving their access to financial resources, ultimately supporting economic stability and reducing inequality. The findings highlight the need for policymakers and financial institutions to work together to address systemic barriers that impede the financial autonomy of vulnerable groups.  The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.</text>
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                <text>Financial inclusion in IndiaA progress and challenges</text>
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                <text>Bank Penetration; Credit Penetration; Deposits penetration; Financial Inclusion</text>
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                <text>The term Financial Inclusion means the process of access to appropriate financial products and services needed by all sections of society including vulnerable groups such as weaker section and low-income at an affordable cost. It has been a very big challenge for the developing countries for including the people into the financial system. Financial inclusion is emerging as a new paradigm of economic growth that plays major role in driving away the poverty from the country. Financial inclusion is important priority of the country in terms of economic growth and advancement of society. Globally, the financial inclusion is on the rise and from 2014-2017, 515 million adults opened an account with bank and there has been a significant increase in the use of mobile Phones and internet to conduct financial transaction. There was a commendable increase in the financial inclusion and this is predominantly driven by India. Through government initiatives and indicatives taken by the RBI, weaker sections of society and economically poor people were able to access to financial products, services, credit etc. The basic variables for measuring the financial inclusion are bank penetration, credit penetration, number of accounts opened etc. So the present study aims to investigate the progress of financial Inclusion in India through the initiatives taken by the Government of India(GOI) and Reserve Bank of India (RBI).  2019 SERSC.</text>
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                <text>Vincent G.; Sivakumar S.</text>
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                <text>International Journal of Advanced Science and Technology, Vol-28, No. 19, pp. 521-530.</text>
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                <text>This research paper aimed to take a look on the present status of financial inclusion in the Indian economy, especially in the rural sector. It also suggested few measures to be taken by the government and banking sector to enhance the inclusion of deprived sections of our country in the financial ecosystem. The data was collected from various secondary sources to depict the present level of financial inclusion, primarily after the implementation of various government policies. The suggested measures mainly included financial literacy and awareness campaign to be implemented at the grass root level along with a robust infrastructure to increase the telephone and internet connectivity in the rural sector. The researchers also analysed that the financial inclusion of the rural sector is imperative for the sustainable economic growth of an agricultural driven economy like India.  2021 Ecological Society of India. All rights reserved.</text>
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                <text>Mittal S., School of Business Studies, Sharda University, Greater Noida, 201 306, India; Chaudhry S., Department of Management Studies, CHRIST (Deemed to be) University, Delhi NCR, 201 003, India</text>
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                <text>Computational Intelligence Solutions for Real-Life Problems;pp.167-184</text>
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                <text>Makhija P., Faculty of Management, Center for Management Studies, Karnataka, Bangalore, India; Archana, Uttar Pradesh, Lucknow, India; Babu S.B.G.T., Department of Electronics and Communication Engineering (ECE), Aditya Engineering College, Andhra Pradesh, Surampalem, India; Sharma A., Mittal School of Business, Lovely Professional University, Punjab, Jalandhar, India; Sharma A., Mittal School of Business, Lovely Professional University, Punjab, Jalandhar, India; Patil A., School of Business and Management, Christ University, Karnataka, Bangalore, India</text>
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                <text>This study explores how artificial intelligence (AI) is changing the banking sector and identifies important uses and consequences. Fintech is evolving, from AI-powered credit risk evaluations to the real-time effects of news and social media on markets. Customary financial procedures are being transformed by the incorporation of blockchain technology, smart contracts, and collaborative models that combine human and AI. It is important to balance risk and return while implementing computational intelligence (CI), and there are several obstacles associated with this technical advance, such as ethical issues and data privacy solutions. This 168changing financial story emphasizes the importance of finding a careful balance between innovation and responsibility. Financial decision-making will hopefully become data-driven, customer-focused, and morally based in the future thanks to the cooperative synergy between humans and AI. The development of a robust and thoughtful financial landscape depends critically on ongoing monitoring, adaptability, and dedication to ethical AI practices.  2026 by Apple Academic Press, Inc.</text>
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                <text>algorithmic trading; artificial intelligence; blockchain integration; computational intelligence; credit scoring; data privacy; financial decision-making; machine learning; predictive analytics; quantum computing; smart contracts</text>
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                <text>Financial Lexicon based Sentiment Prediction for Earnings Call Transcripts for Market Intelligence</text>
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                <text>Sentiment based stock price direction detection has been an exciting study in the field of finance which is drawing a lot of attention from the investor community. Sentiments are used to detect the changes in the stock price movements for the subsequent periods. Investor community uses these sentiments derived from news, celebrity speech and events to plan trading and investment strategies. Several studies have been done in the past with sentiments, but use of Earnings Call Transcripts (ECT) has not been explored for market intelligence hitherto. Standard dictionary based lexicons like Vader, AFINN and NRC have not performed well in finance as they are domain agnostic. There is a need to develop a financial lexicon based on the ECT corpora, which may provide a better lift over the standard lexicons. This study has observed that Vader has performed poorly as opposed to the newly developed financial lexicon. Machine learning based generative lexicon engine using Bayesian approach, which is termed as FNB Lex was developed in this research study to overcome the limitations of standard domain agnostic lexicons. The lexicon development was performed on quarterly Earning Call Transcripts (ECT) of sixteen IT companies spanning over ten years. The study also investigates the detection of inverse effect in stock price movements based on the sentiments of the previous period. Machine Learning (ML) models like Naive Bayes, FNB Lex, SVM and biLSTM were developed and their discriminatory powers were assessed. NB Lex provided much better lift in detecting the inverse effect as opposed to other models.   2024 IEEE.</text>
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                <text>Proceedings - 2024 5th International Conference on Image Processing and Capsule Networks, ICIPCN 2024, pp. 595-603.</text>
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                <text>Nagendra B.V., Christ University, Bengaluru, India; Kumar Chandar S., Christ University, Bengaluru, India; Simha J.B., REVA University, REVA Academy for Corporate Excellence, India; John Bazil J.A., Christ University, Bengaluru, India</text>
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                <text>Employment in the informal sector has grown rapidly over the years as it requires a limited skill set, limited educational background, and least initial investment. One such vulnerable sector which forms the major portion of the informal workforce is the street vendors. They lack basic facilities to newlinehave a good standard of living. It is observed that they are usually denied newlinevarious opportunities though their contribution to the economic growth and newlinedevelopment is immense. Their unstable income has left them vulnerable to many financial situations and led them into a financial debt trap. This research is carried out entirely from the view of the street vendors. newlineFinancial literacy has gained importance over the years as it enhances and empowers one s financial ability. Financial literacy is promoted through financial inclusion where all the sections of the society come under one roof to avail finance at ease. Basic financial literacy is will aid the users to newlinemake better utilization of financial schemes under financial inclusion. This in turn leads to better financial capability for individuals. It is observed that there is a gap that needs to be bridged between the street vendors and financial accessibility as they lack basic financial knowledge as are from a low educational background in this study. Better financial knowledge will newlinelead to better usage and accessibility of financial inclusion schemes which will result in better financial capability; this concept is being examined in the current study. The identified relationship impact of financial inclusion on financial literacy and financial capability forms an integral part of the study. It is useful in bringing out the gap between the street vendors and their financial distress. The research was designed to develop an instrument. A research instrument to measure variables was built based on previous studies and the expert s newlineconsultation.</text>
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