Challenges of COVID-19 During 2020 and Opportunities for FinTech in 2021 for Digital Transformation of Business and Financial Institutions in India

Fintech/TechFin/financial and banking sector achieved the new digital disruptions and transformation milestones in India, underlining the various opportunities in the last year, 2020, when the world was struggling with the COVID-19 pandemic, an extended period of lockdown, job loss, and unemployment. India has emerged as the fastest-growing second largest leading fintech hub in the world after the United States. This chapter will explain the various challenges faced in the year 2020 and opportunities for fintech in 2021. The chapter also explains the emerging technology trends and growth of finechs in India during the COVID pandemic.

Ensemble-Based Feature Selection With Long Short-Term Memory for Classification of Network Intrusion

This chapter presents an ensemble-based feature selection with long short-term memory (LSTM) model. A deep recurrent learning model is proposed for classifying network intrusion. This model uses ensemble-based feature selection (EFS) for selecting the appropriate features from the dataset and long short-term memory for the classification of network intrusions. The EFS combines five feature selection techniques, namely information gain, gain ratio, chi-square, correlation-based feature selection, and symmetric uncertainty-based feature selection. The experiments were conducted using the standard benchmark NSL-KDD dataset and implemented using tensor flow and python. The proposed model is evaluated using the classification performance metrics and also compared with all the 41 features without any feature selection as well as with each individual feature selection technique and classified using LSTM. The performance study showed that the proposed model performs better, with 99.8% accuracy, with a higher detection and lower false alarm rates.

A Comprehensive Review of Mobile Technology-Assisted English Learning

Mobile English language learning has drawn global attention. This study systematically examined the literature in the past 11 years. It visualized the general trend of the number of related publications in a decade, discussed the attitudes of teachers and learners toward mobile device-assisted English learning, explored the effect of motivation on mobile device assisted English learning, discussed the influence of mobile device-assisted English learning on output and input English language skills, presented the influence of mobile device-assisted English learning on vocabulary knowledge acquisition, demonstrated the factors influencing the effectiveness of mobile English language learning, showed the general learning outcomes in mobile device-assisted English learning, together with the disadvantages of mobile technology-assisted English learning and co-citations of publications. When designing mobile devices, designers could include and optimize learning functions based on the findings.

Dynamics of Social Media Promotion of Prescription Drugs and Resulting Patient Belief Systems

Social media has emerged as a powerful tool for communication. A large number of professional pharmaceutical associations are making their presence felt across social media by utilizing infographics. The trend is towards just-in-time information—reaches to stakeholders only when needed—and this reduces information load that describes the modern healthcare system. It includes facts and figures such as fan-following of Twitter and Facebook and increase in video content. Its high utility during the pandemic has been explored including its misuse to create panic. Recently the interest of a large number of professional associations in social media to come up with succinct and credible information is yet another emerging trend. This chapter tries to identify the healthcare information available on social media sites, which has been found to be beneficial in many ways for the stakeholders. It has its own limitations which need to be explored and understood and addressed appropriately.

A Study of the Readiness of Indian Banks to Absorb COVID-19`s Impact Through New Emerging Technologies and Strategies for Competitive Advantage

Digital disruptions and e-collaboration between banks, corporates, and fintech companies are increasing to meet the new challenges posed by COVID-19 across the globe. The Indian economy and the financial ecosystem is undergoing a transformation with the number of reforms introduced by the Government of India and Reserve Bank of India in the last few years. Emerging trends in the Indian economy with new business models being adopted by the banks and financial institutions leading the country to the international standards of the payment system. This chapter focus on the pre-COVID reforms and their impact on banking and finance sector post-COVID 19 in the Indian Economy. The author explains the readiness of Indian banks to meet the challenges and the new emerging technology-based business model being adopted by banks and financial institutions in re-strategizing their operations and have a competitive advantage in the market.

Impact of the Evolution of Smart Phones in Education Technology?

In this chapter, the researchers investigate the different effects of smartphones on the youth of the United Arab Emirates through an integrated questionnaire among 12 doctors that were randomly sampled and selected about the smartphone use of the youth in the country. Through a qualitative research design by using structured questionnaires, the researcher found out that smartphone usage affects the youth in UAE both in a positive and negative way. Despite the developments posited in the adoption of smart phones including data-driven solutions and education, the smart phones have been related to negative impacts on mental health and physical connection through the youth in the society. Moreover, smartphone usage may lead to negative health issues among the youth including obesity. Additionally, parents present a fear of extreme exposure and cultural deterioration in the presence of these phones. Also, it was concluded that parents should play a role in limiting the number of hours that youth should use their smartphones to a maximum of 3 hours a day.

Social Network Sites as Community Building Tools in Educational Networking

This chapter discusses the educational context of social network sites (SNSs) and the manner in which they are adopted as Europeanization tools to develop the main EU education priorities. The Erasmus + (E+) context, articulated on networks of education bodies, denotes a promising ground to investigate social and digital trends emerging within institutionalized education communities. The research approach counts on a sample of 518 organizations aligned to a set of standards regulated within the institutionalized networking frame of the E+ program. Due to the compliance requirements of E+ guidelines, this chapter proposes a theoretical juxtaposition of the community of inquiry framework and the E+ framework. Final results show an EU educational trend verging to informal affordances and non-formal education features.

Tasks, Approaches, and Avenues of Opinion Mining, Sentiment Analysis, and Emotion Analysis

Every successful business aims to know how customers feel about its brands, services, and products. People freely express their views, ideas, sentiments, and opinions on social media for their day-to-day activities, for product reviews, for surveys, and even for their public opinions. This process provides a fortune of valuable resources about the market for any type of business. Unfortunately, it's impossible to manually analyze this massive quantity of information. Sentiment analysis (SA) and opinion mining (OM), as new fields of natural language processing, have the potential benefit of analyzing such a huge amount of data. SA or OM is the computational treatment of opinions, sentiments, and subjectivity of text. This chapter introduces the reader to a survey of different text SA and OM proposed techniques and approaches. The authors discuss in detail various approaches to perform a computational treatment for sentiments and opinions with their strengths and drawbacks.

Opportunities and Challenges of M-Learning During the COVID-19 Pandemic

The purpose of this study is to explore the opportunities and challenges of m-learning (mobile learning) during COVID-19 pandemic. The study identified how students accepted the m-learning tools due to the pandemic with noticeable challenges and threats, revealing in particular an increased tendency to use smart technologies and apps to collaborate online learning with mobile devices. The study is an enhanced version which utilized mixed methodology research including a survey questionnaire and a focus group interview from university teachers and students. Results from statistical analysis and focus group interview revealed that university students have numerous opportunities besides some noticeable challenges. The study also highlights the education sustainability during COVID-19 pandemic due to m-learning technology.

Development of Transferable Knowledge

Zimbabwe has adopted Education 5.0 which is an educational transformation typified by five missions of Teaching, Community Outreach, Research, Innovation and Industrialization. The Education 5.0 seeks to produce relevant and cost effective knowledge products that results in the production of new goods and services towards the modernization and industrialization of Zimbabwe. Electronic Thesis and Dissertations (ETDs) are at the core of knowledge production by universities in Zimbabwe. ETD's are important data sets for research and development and are critical in the knowledge creation and production that must lead to innovation and industrialization driven by academic institutions. The management of e-scholarship underpins the success of academic institutions to cause the industrialization and modernization of Zimbabwe under the new transformation. The chapter explores the opportunities in managing ETDs in Zimbabwe. The chapter explored how ETD's are transforming scholarly communication landscape through knowledge creation and sharing for industrialization and modernization. The chapter highlights new transformation by academic institutions in creating and developing ETD's to be linked with innovation hubs. Furthermore, the chapter explored the extent to which academic libraries are grappling with the emerging genres of ETD's for example the use of linked data to enhance discoverability. The chapter suggested strategies to enhance the ETD's culture.