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This chapter examines three common fintech use cases transforming the financial industry. First, the chapter introduces fintech's role in enhancing financial services and promoting financial inclusion, especially through digital platforms. Second, it investigates various fintech applications that support financial institution management by harnessing the power of artificial intelligence (AI) and machine learning (ML). Finally, the chapter explores fintech use cases related to the regulatory environment, including regulatory technology (regtech), blockchain technology, and cryptocurrencies. The insights presented in this chapter cater to researchers and practitioners keen on better understanding fintech's diverse applications in the ever-evolving financial industry landscape.

The purpose of this paper is to investigate the impact of lean practices on performance improvement of process industries in India.

Based on a survey of Indian process industries, this paper proposes two sets of hypothesis to examine if there is any statistically significant impact of lean practices on certain specific performance metrics. First, the sample is classified into two classes of process industries: the adopters of lean and those who have not yet adopted the lean practices in their manufacturing operations. Then statistical tests are conducted to measure the differences in the level of performance between the two classes of Indian process industries with respect to nine performance measures. The survey results are augmented by two in-depth case studies. Case studies include one from lean adopter firms (a refinery) and another from the firms that have not yet adopted the lean practices (a primary metal manufacturing unit).

A survey result of 121 Indian process industries shows that adoption of lean practices results in a positive impact on inventory control, waste elimination, cost reduction, productivity, and quality improvement in process industries. On the other hand, based on the sample data on Indian process industries, no statistically significant improvement could be found on the lot size or space utilization between lean adopters and their counterparts.

This research provides guidance to the managers on how adoption of lean practices results in better performance in process industries in several operational areas.

To the knowledge, this study is the first attempt to analyze the impact of lean practices on a set of specific performance metrics in Indian process industry. Although this study focuses on the Indian process industry, the authors believe that findings of the research can inform other practitioners and researchers who are considering implementing lean in process industry sector in other developing countries like India.

According to national surveys, every year approximately 20% of school-age students report bullying victimization. The risk of victimization is even higher for students with disabilities, particularly those whose disabilities are characterized by social–emotional or behavioral traits. To address public concern over bullying, states passed anti-bullying laws and schools implemented bullying prevention programs, with little effect on the frequency of bullying. Consequently, parents of students with disabilities increasingly filed lawsuits to address the harm caused by bullying. Previous research established an increasing trajectory for the frequency of these lawsuits, although the outcomes remained largely favorable to the district defendants. To determine whether these trends continue, this study examined bullying-related court decisions over a 2.5 year period to determine the frequency of cases and claim basis rulings, the representation of disability categories among student plaintiffs, and the outcomes distribution for the claim rulings and cases. The findings noted a continued increasing trajectory for the frequency of cases with an overrepresentation of plaintiffs with ADHD, mental health diagnoses, and autism. Most commonly cited legal bases were Section 504/ADA and negligence, with the overall outcomes distribution more parent plaintiff-favorable than the previous research. To prevent potential liability, educators should strengthen efforts to both comply with reporting and investigation requirements as well as establishing a school culture that accepts differences among students.

An individual's capacity to manage finances has become critical in today's environment. The availability of various sophisticated financial instruments, combined with the economy's complexity and rising uncertainty, has prompted a significant push to analyse from where the youth learn about managing their money. This study intends to investigate the differences in the selected social predictors (Parents, Friends, School, Books, Job Experiences, Life experiences and Media) that influence the money management behaviour of emerging adults. The data was collected through a structured questionnaire from 230 undergraduates in the age group of 18–22 years. To test the normality of data, Kolmogorov–Smirnov (KS) test was applied and further Kruskal–Wallis test was found to be the appropriate method based on the identification of statistically significant deviations. The results show that parents have been considered as the most influential predictor (X = 3.565) of money management behaviour among emerging adults. followed by Life Experiences (X = 3.526). Whereas School and Job Experience were the least influential social predictors with mean value of 2.278 and 2.130 respectively. The study provides insights to the regulators, academicians and policymakers to initiate innovative strategies and processes for helping emerging adults for effective money management to increase their academic performance in a stress-free environment. Further, this paper contributes towards effective money management advice by recommending implementation of tools, apps and programs relating to Financial Literacy for better Financial Behaviour. Lastly, the paper provides implications that focus on enhancing the financial literacy of the parents as they act as role models for their children by teaching them skills to manage money.

Although lean thinking is deemed to be a gold standard of modern production management, a lot of scepticism still remains regarding its applicability in small- and medium-sized enterprises (SMEs). The purpose of this paper is to understand the perception of lean in SMEs and establish the relationship between lean adoption and operational performance.

With the help of a survey, data were collected from 425 SMEs in India and analyzed using structural equation modeling.

Operational performance of the firms was found to be positively related to lean implementation.

This study also furnishes practitioners with a better understanding of lean thinking in SMEs and its impact on performance.

Do women exhibit greater financial risk aversion than men? We answer this question using attitudinal and behavioral specifications of risk aversion drawn from the 2010 Survey of Consumer Finances (SCF). To approximate attitudinal specification of risk aversion, we use individuals’ self-reported financial risk tolerance. We use individuals’ relative risk aversion, that is, the effect of wealth on the proportion of assets categorized as risky as behavioral specification of risk aversion. We find that while women display greater attitudinal risk aversion, gender difference in behavioral risk aversion depends upon individuals’ marital status and role in household finances. Single women exhibit greater behavioral risk aversion compared to single men. However, this gender difference does not exist when we compare behavioral risk aversion of married women and men in charge of household finances.

This chapter examines the debt aversion of a group of college students who have the opportunity to take out a sizable, low-interest, non-credit dependent loan. If the loan is simply invested in low-risk assets, it would effectively yield a free lunch in net interest earnings.

The research uses survey data to examine demographic, socio-economic, personality traits, and other characteristics of those willing and unwilling to accept the loan offer, as well as their intentions of early repayment.

Individuals willing to accept the loan tend to have prior debt, longer planning horizons, come from middle-income families, and may have higher cognitive ability. Anticipated early repayment of the loan is more likely among those with prior investments, no prior debt, from STEM majors, with upper income parents, and those who expect to buy a home soon.

We find no consistent relationships between debt aversion and intellectual ability or gender, but this finding may be hampered by our small sample of female loan-rejecters. Our limited sample size also precludes examining interactions between the dimensions of personality types.

We suggest consideration of policies to encourage “smart” borrowing, focusing on the financially disadvantaged, particularly for education loans. This study examines a uniquely occurring natural experiment regarding the opportunity to accept a non-credit dependent loan. Our results describe the behavior of young adults, an infrequently studied yet important segment of the population, especially in the context of borrowing behavior.

This paper reports on an attempt to compare three distinct approaches to simulating the operations of a small enterprise in order to evaluate the appropriateness and effectiveness of each approach in modelling the enterprise and provide a means for improving its operational performance. The approaches considered are visual, interactive simulation using the WITNESS simulator, SIMNET II, a network‐driven simulation language and queuing modelling using Operations Management Expert. Each approach was found to accurately model the company operations, provide a consistent indication of operational performance in terms of throughput and resource utilisation, and provide a basis for suggesting improved modes of operation.