In a cashless economy, all financial dealings are conducted through the use of credit cards, debit cards, or other forms of electronic payment. There is a little amount of actual currency now in circulation. Transactions in India typically involve a disproportionately large quantity of cash. This is a significant challenge for the nation. It is essential to keep in mind that in order to achieve the transition to a cashless society, a nation requires not just high-speed internet but also solid cyber security measures. Given the country's low standing in the global cyber stakes, the primary objective of demonetization is to promote the adoption of digital transactions as an alternative to conventional ones. This is due to the fact that traditional transactions involve the exchange of physical currency. In order to ensure the safety of monetary dealings conducted online, several authorities in the area are of the opinion that the government should boost the amount of money it spends on infrastructure while simultaneously increasing the amount of oversight it exercises over the industry as a whole. At this time, India is ranked as the sixth most prolific nation for cybercrime in the world. Digital payment systems have developed, first attracting the wary interest of customers and industry professionals owing to the disruption that these systems promised to produce in the well-established e-commerce business. As its renown increased, academics started to describe it in a variety of different ways, with a focus on subjects as varied as business, information technology, accounting, and finance. According to the definition provided by Briggs and Brooks (2011), digital payment is a method of conducting electronic monetary transactions between individuals and financial institutions that is supported and facilitated by banking institutions. According to the definition provided by Peter and Babatunde (2012), an electronic method of making a payment, concluding a transaction, or moving money from one account to another is referred to as a digital payment.
{"title":"Understanding the Pros and Cons of Digital Payments in Indian Economy: A PLS-SEM Approach","authors":"","doi":"10.52783/jier.v3i2.223","DOIUrl":"https://doi.org/10.52783/jier.v3i2.223","url":null,"abstract":"In a cashless economy, all financial dealings are conducted through the use of credit cards, debit cards, or other forms of electronic payment. There is a little amount of actual currency now in circulation. Transactions in India typically involve a disproportionately large quantity of cash. This is a significant challenge for the nation. It is essential to keep in mind that in order to achieve the transition to a cashless society, a nation requires not just high-speed internet but also solid cyber security measures. Given the country's low standing in the global cyber stakes, the primary objective of demonetization is to promote the adoption of digital transactions as an alternative to conventional ones. This is due to the fact that traditional transactions involve the exchange of physical currency. In order to ensure the safety of monetary dealings conducted online, several authorities in the area are of the opinion that the government should boost the amount of money it spends on infrastructure while simultaneously increasing the amount of oversight it exercises over the industry as a whole. At this time, India is ranked as the sixth most prolific nation for cybercrime in the world. Digital payment systems have developed, first attracting the wary interest of customers and industry professionals owing to the disruption that these systems promised to produce in the well-established e-commerce business. As its renown increased, academics started to describe it in a variety of different ways, with a focus on subjects as varied as business, information technology, accounting, and finance. According to the definition provided by Briggs and Brooks (2011), digital payment is a method of conducting electronic monetary transactions between individuals and financial institutions that is supported and facilitated by banking institutions. According to the definition provided by Peter and Babatunde (2012), an electronic method of making a payment, concluding a transaction, or moving money from one account to another is referred to as a digital payment.","PeriodicalId":201034,"journal":{"name":"Journal of Informatics Education and Research","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136207757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The current study proposes an integrative framework for the determinants of the portfolio stock returns in the Indian stock market for the study period from 2007 to 2021 based upon the Carhart four-factor, macroeconomic and sentiment indicators using the Smart PLS methodology. The results suggest a significant relationship between the portfolio expected returns and four-factor indicators including the significant factor loadings as Rm – Rf, SMB, HML, and WML risk factors. Moreover, the momentum risk factor is reported to be negatively related to portfolio expected returns. However, an insignificant relationship was reported between the macroeconomic indicators and the portfolio's expected returns wherein inflation and the monthly change in the treasury bills hold a significant loading on the macroeconomic variables. Further, the findings document a significant relationship between the sentiment indicators and the portfolio expected returns with the significant factor loading involving Consumer Sentiment Index (CSI) and Market Turnover ratio (MTO). The findings of the study will be helpful for the various stakeholders like investors, portfolio managers, academicians, and researchers.
{"title":"“Integrative Framework for the Determinants of Portfolio Stock Returns”","authors":"","doi":"10.52783/jier.v3i2.230","DOIUrl":"https://doi.org/10.52783/jier.v3i2.230","url":null,"abstract":"The current study proposes an integrative framework for the determinants of the portfolio stock returns in the Indian stock market for the study period from 2007 to 2021 based upon the Carhart four-factor, macroeconomic and sentiment indicators using the Smart PLS methodology. The results suggest a significant relationship between the portfolio expected returns and four-factor indicators including the significant factor loadings as Rm – Rf, SMB, HML, and WML risk factors. Moreover, the momentum risk factor is reported to be negatively related to portfolio expected returns. However, an insignificant relationship was reported between the macroeconomic indicators and the portfolio's expected returns wherein inflation and the monthly change in the treasury bills hold a significant loading on the macroeconomic variables. Further, the findings document a significant relationship between the sentiment indicators and the portfolio expected returns with the significant factor loading involving Consumer Sentiment Index (CSI) and Market Turnover ratio (MTO). The findings of the study will be helpful for the various stakeholders like investors, portfolio managers, academicians, and researchers.","PeriodicalId":201034,"journal":{"name":"Journal of Informatics Education and Research","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136368244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study focuses on the perception of students regarding various dimensions that create and improve the brand of a university/ institute. Previous research highlights students as key stakeholders in higher education system. The purpose of this study is to understand the perspective of students, who essentially are the customers in the higher education market regarding the branding of the institutes of higher education. A survey was conducted with 400 students of various institutes/universities of Punjab. Exploratory factor analysis was used to find out various factors that they considered to be most important for branding of higher education institutes. Findings suggest that student support and development was the most important factor followed by marketing and media activities.
{"title":"Factors Affecting Higher Education Branding According to the Students – A Study of Engineering and Management Institutes in the State of Punjab.","authors":"","doi":"10.52783/jier.v3i2.229","DOIUrl":"https://doi.org/10.52783/jier.v3i2.229","url":null,"abstract":"This study focuses on the perception of students regarding various dimensions that create and improve the brand of a university/ institute. Previous research highlights students as key stakeholders in higher education system. The purpose of this study is to understand the perspective of students, who essentially are the customers in the higher education market regarding the branding of the institutes of higher education. A survey was conducted with 400 students of various institutes/universities of Punjab. Exploratory factor analysis was used to find out various factors that they considered to be most important for branding of higher education institutes. Findings suggest that student support and development was the most important factor followed by marketing and media activities.","PeriodicalId":201034,"journal":{"name":"Journal of Informatics Education and Research","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136368247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Today's information ecosystem, with its abundance of fake news, presents serious obstacles to accurate reporting. Several machine learning and deep learning models have been implemented to help in the detection of fake news. In this research, we evaluate the merits and weaknesses of various algorithms for spotting false news. Deep learning models LSTM and CNN are examined alongside popular machine learning models such as Gaussian Naive Bayes, Decision Tree Classifier, Random Forest Classifier, XGBoost, and LightGBM. Accuracy is the metric against which the models are measured. In terms of accuracy in classifying false news stories, the results demonstrate that the deep learning models, and in particular LSTM and CNN, perform better than the machine learning models. While CNN is good at capturing structural information and local relationships, LSTM excels at capturing long-term dependencies and language patterns. The research emphasises the superiority of deep learning models in detecting false news, providing useful insights for the creation of trustworthy detection systems. The results pave the way for more studies into false news detection methods and contribute to their development.
{"title":"Comparing the Effectiveness of Different Machine Learning and Deep Learning Models for Fake News Detection","authors":"","doi":"10.52783/jier.v3i2.207","DOIUrl":"https://doi.org/10.52783/jier.v3i2.207","url":null,"abstract":"Today's information ecosystem, with its abundance of fake news, presents serious obstacles to accurate reporting. Several machine learning and deep learning models have been implemented to help in the detection of fake news. In this research, we evaluate the merits and weaknesses of various algorithms for spotting false news. Deep learning models LSTM and CNN are examined alongside popular machine learning models such as Gaussian Naive Bayes, Decision Tree Classifier, Random Forest Classifier, XGBoost, and LightGBM. Accuracy is the metric against which the models are measured. In terms of accuracy in classifying false news stories, the results demonstrate that the deep learning models, and in particular LSTM and CNN, perform better than the machine learning models. While CNN is good at capturing structural information and local relationships, LSTM excels at capturing long-term dependencies and language patterns. The research emphasises the superiority of deep learning models in detecting false news, providing useful insights for the creation of trustworthy detection systems. The results pave the way for more studies into false news detection methods and contribute to their development.","PeriodicalId":201034,"journal":{"name":"Journal of Informatics Education and Research","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135952783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
"Green marketing" refers to the practice of promoting services and goods on the basis of their positive environmental impact. Without the aid of secondary effect change, production process upgrades, economical packaging, and retooled advertising, such a nice or administration should be harmless to the ecosystem. Due to environmental concerns, green products have received more attention recently, and their availability is growing. The desire to protect the environment has become a universal concern. This study aims to analyze changing trends of customers and their perceptions towards green marketing. Corporate businesses believe that green marketing is a powerful instrument for achieving organisational objectives as well as for gaining a competitive edge and establishing brand equity in a time when consumers choose companies that are more environmentally friendly. The Indian government has made social responsibility a requirement for organisations.The demonstration of buying products and services E-Commerce through vendors who operate websites is known as Ecommerce. Since the beginning of the Internet, businesses have tried to market their goods to users. The study is empirical in nature wherein the survey responses of 135 clients were analyzed and interpreted. It was found that clients prefer green products and it has positive impact on the overall sales, perceptions of customers.
{"title":"A Study on the Perceptions of Consumers Towards Green Marketing of E-Commerce Products in Rajasthan","authors":"","doi":"10.52783/jier.v3i2.256","DOIUrl":"https://doi.org/10.52783/jier.v3i2.256","url":null,"abstract":"\"Green marketing\" refers to the practice of promoting services and goods on the basis of their positive environmental impact. Without the aid of secondary effect change, production process upgrades, economical packaging, and retooled advertising, such a nice or administration should be harmless to the ecosystem. Due to environmental concerns, green products have received more attention recently, and their availability is growing. The desire to protect the environment has become a universal concern. This study aims to analyze changing trends of customers and their perceptions towards green marketing. Corporate businesses believe that green marketing is a powerful instrument for achieving organisational objectives as well as for gaining a competitive edge and establishing brand equity in a time when consumers choose companies that are more environmentally friendly. The Indian government has made social responsibility a requirement for organisations.The demonstration of buying products and services E-Commerce through vendors who operate websites is known as Ecommerce. Since the beginning of the Internet, businesses have tried to market their goods to users. The study is empirical in nature wherein the survey responses of 135 clients were analyzed and interpreted. It was found that clients prefer green products and it has positive impact on the overall sales, perceptions of customers.","PeriodicalId":201034,"journal":{"name":"Journal of Informatics Education and Research","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135210966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Enhancing Security of Relational Databases in Cloud Computing through Blockchain Integration","authors":"","doi":"10.52783/jier.v3i2.274","DOIUrl":"https://doi.org/10.52783/jier.v3i2.274","url":null,"abstract":"","PeriodicalId":201034,"journal":{"name":"Journal of Informatics Education and Research","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135310838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The purpose of this paper is to examine how experiencing knowledge affects the sufficiency of authority. on reality, focusing the investigation on non-industrial countries will provide the most up-to-date knowledge about how much those indicators will contribute to the academic ramifications when the findings are used in the context of growing nations. Additionally, it will strengthen the rational implications of employing those indicators in other associations to enhance their suitability and presentation. The field study will be conducted by means of a self-controlled poll using a non-probabilistic approach, starting with a sample of 50 fully employed Indian government representatives. The findings provide guidance for organisations looking to improve pioneers' emotional intelligence in a genuine and useful way. The use of these insights will inspire a variety of initiatives for practise improvement and upgrading. Finally, research aims to advance both academic and practical knowledge. The importance of experiencing knowledge is one of the academic experiences it provides in respect to research on the factors that are likely to influence and promote authority adequacy.
{"title":"The Role of Emotional Intelligence in Effective Leadership and Management","authors":"","doi":"10.52783/jier.v3i2.292","DOIUrl":"https://doi.org/10.52783/jier.v3i2.292","url":null,"abstract":"The purpose of this paper is to examine how experiencing knowledge affects the sufficiency of authority. on reality, focusing the investigation on non-industrial countries will provide the most up-to-date knowledge about how much those indicators will contribute to the academic ramifications when the findings are used in the context of growing nations. Additionally, it will strengthen the rational implications of employing those indicators in other associations to enhance their suitability and presentation. The field study will be conducted by means of a self-controlled poll using a non-probabilistic approach, starting with a sample of 50 fully employed Indian government representatives. The findings provide guidance for organisations looking to improve pioneers' emotional intelligence in a genuine and useful way. The use of these insights will inspire a variety of initiatives for practise improvement and upgrading. Finally, research aims to advance both academic and practical knowledge. The importance of experiencing knowledge is one of the academic experiences it provides in respect to research on the factors that are likely to influence and promote authority adequacy.","PeriodicalId":201034,"journal":{"name":"Journal of Informatics Education and Research","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135448461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The success of organizations hinges on the dedication and involvement of their employees in their work, as well as their overall attitude towards their professional lives. Work occupies a significant portion of our daily existence, with individuals spending an average of twelve hours each day at their jobs. This study endeavours to examine the "Quality of Work Life among bank employees," with a particular focus on the Indian banking sector, and more specifically, public sector banks. The paper has adopted a qualitative descriptive research methodology to review the various literature findings to analyse the various dimensions of QWL which leads to employee commitment in public sector banks. Hence, the research aims to offer valuable insights into the dynamics of employee commitment about their work-life quality, with the future scope of informing strategies and interventions that can further enhance both employee commitment and organizational success in this critical sector of the Indian economy.
{"title":"Impact of Quality of Work Life on Employee Commitment in the Indian Banking Sector with Special Reference to Public Sector Banks","authors":"","doi":"10.52783/jier.v3i2.302","DOIUrl":"https://doi.org/10.52783/jier.v3i2.302","url":null,"abstract":"The success of organizations hinges on the dedication and involvement of their employees in their work, as well as their overall attitude towards their professional lives. Work occupies a significant portion of our daily existence, with individuals spending an average of twelve hours each day at their jobs. This study endeavours to examine the \"Quality of Work Life among bank employees,\" with a particular focus on the Indian banking sector, and more specifically, public sector banks. The paper has adopted a qualitative descriptive research methodology to review the various literature findings to analyse the various dimensions of QWL which leads to employee commitment in public sector banks. Hence, the research aims to offer valuable insights into the dynamics of employee commitment about their work-life quality, with the future scope of informing strategies and interventions that can further enhance both employee commitment and organizational success in this critical sector of the Indian economy.","PeriodicalId":201034,"journal":{"name":"Journal of Informatics Education and Research","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135611007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In recent years, the agricultural sector has witnessed a growing utilisation of Artificial Intelligence (AI). The agricultural sector faces various obstacles that impede maximum productivity, including insufficient soil management practices, the prevalence of plant diseases and pests, the requirement for extensive data analysis, subpar agricultural output, and a disparity in technological proficiency among farmers. The primary focus of artificial intelligence (AI) in the agricultural sector revolves around its ability to adapt, deliver enhanced performance, offer precision, and provide cost-efficiency. The primary aim of this article is to provide a thorough examination of the diverse applications of artificial intelligence (AI) within the realm of agricultural practices, with particular emphasis on soil management, crop management, weed control, and disease management. The primary objective of this study is to assess the strengths and limitations of these applications, with a particular emphasis on the utilisation of expert systems to augment productivity within this domain.
{"title":"Applications of Artificial Intelligence in Agriculture: A Review","authors":"","doi":"10.52783/jier.v3i2.277","DOIUrl":"https://doi.org/10.52783/jier.v3i2.277","url":null,"abstract":"In recent years, the agricultural sector has witnessed a growing utilisation of Artificial Intelligence (AI). The agricultural sector faces various obstacles that impede maximum productivity, including insufficient soil management practices, the prevalence of plant diseases and pests, the requirement for extensive data analysis, subpar agricultural output, and a disparity in technological proficiency among farmers. The primary focus of artificial intelligence (AI) in the agricultural sector revolves around its ability to adapt, deliver enhanced performance, offer precision, and provide cost-efficiency. The primary aim of this article is to provide a thorough examination of the diverse applications of artificial intelligence (AI) within the realm of agricultural practices, with particular emphasis on soil management, crop management, weed control, and disease management. The primary objective of this study is to assess the strengths and limitations of these applications, with a particular emphasis on the utilisation of expert systems to augment productivity within this domain.","PeriodicalId":201034,"journal":{"name":"Journal of Informatics Education and Research","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134888159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the global landscape, more than one billion individuals at the bottom of the economic pyramid lack access to formal financial services. The increasing demand for a broad spectrum of financial solutions for these underserved populations has driven a market-driven revolution in microfinance. This movement has led to the development and delivery of a diverse array of financial products. Over the past three decades, the microfinance sector has experienced substantial growth and diversification, resulting in the emergence of diverse institutions and delivery models. Microfinance institutions (MFIs) play a crucial role in serving low-income customers, often extending loans without requiring collateral, in contrast to traditional financial institutions that demand security for lending to the economically disadvantaged. Furthermore, MFIs are actively engaged in providing skill-based training to enhance productivity, organizational support, and consciousness-building training to empower impoverished communities. These institutions employ innovative approaches to reach the poor, including group lending, progressive lending, regular repayment schedules, and alternatives to traditional collateral. While existing research in the microfinance sector primarily focuses on impact assessment studies, with an emphasis on understanding the effects of microfinance activities on the lives of the poor, particularly women, only a few studies have employed non-parametric linear programming-based DEA (Data Envelopment Analysis) models to evaluate the efficiency of microfinance institutions globally. Notably, the studies assessing the efficiency of Indian MFIs remain limited. This study is particularly relevant given its focus on the post-crisis period, post-2010. In order to ensure the sustained operation of microfinance institutions in the long term, it is essential for MFIs to reach as many borrowers as possible while minimizing operational costs. Therefore, this research endeavours to measure the input-oriented efficiency of selected microfinance institutions in India during the period spanning from 2011 to 2017.
{"title":"Assessing the Operational Efficiency of Microfinance Institutions in India Using Data Envelopment Analysis","authors":"","doi":"10.52783/jier.v3i2.293","DOIUrl":"https://doi.org/10.52783/jier.v3i2.293","url":null,"abstract":"In the global landscape, more than one billion individuals at the bottom of the economic pyramid lack access to formal financial services. The increasing demand for a broad spectrum of financial solutions for these underserved populations has driven a market-driven revolution in microfinance. This movement has led to the development and delivery of a diverse array of financial products. Over the past three decades, the microfinance sector has experienced substantial growth and diversification, resulting in the emergence of diverse institutions and delivery models. Microfinance institutions (MFIs) play a crucial role in serving low-income customers, often extending loans without requiring collateral, in contrast to traditional financial institutions that demand security for lending to the economically disadvantaged. Furthermore, MFIs are actively engaged in providing skill-based training to enhance productivity, organizational support, and consciousness-building training to empower impoverished communities. These institutions employ innovative approaches to reach the poor, including group lending, progressive lending, regular repayment schedules, and alternatives to traditional collateral. While existing research in the microfinance sector primarily focuses on impact assessment studies, with an emphasis on understanding the effects of microfinance activities on the lives of the poor, particularly women, only a few studies have employed non-parametric linear programming-based DEA (Data Envelopment Analysis) models to evaluate the efficiency of microfinance institutions globally. Notably, the studies assessing the efficiency of Indian MFIs remain limited. This study is particularly relevant given its focus on the post-crisis period, post-2010. In order to ensure the sustained operation of microfinance institutions in the long term, it is essential for MFIs to reach as many borrowers as possible while minimizing operational costs. Therefore, this research endeavours to measure the input-oriented efficiency of selected microfinance institutions in India during the period spanning from 2011 to 2017.","PeriodicalId":201034,"journal":{"name":"Journal of Informatics Education and Research","volume":"273 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135507642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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