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This paper explores the different insider employee-led cyber frauds (IECF) based on the recent large-scale fraud events of prominent Indian banking institutions. Examining the different types of fraud and appropriate control measures will protect the banking industry from fraudsters. In this study, we identify and classify Cyber Fraud (CF), map the severity of the fraud on a scale of priority, test the mitigation effectiveness, and propose optimal mitigation measures. The identification and classification of CF losses were based on a literature review and focus group discussions with risk and vigilance officers and cyber cell experts. The CF was analyzed using secondary data. We predicted and prioritized CF based on machine learning-derived Random Forest (RF). An efficient fraud mitigation model was developed based on an offender-victim-centric approach. Mitigation is advised both before and after fraud occurs. Through the findings of this research, banks and fraud investigators can prevent CF by detecting it quickly and controlling it on time. This study proposes a structured, sustainable CF mitigation plan that protects banks, employees, regulators, customers, and the economy, thus saving time, resources, and money. Further, these mitigation measures will improve the reputation of the Indian banking industry and ensure its survival. [ABSTRACT FROM AUTHOR]

Digital transformation in the health sector can revolutionize a country's healthcare system. However, the effective sustainability of digital health relies on various factors that influence its implementation. Addressing such implementation challenges is crucial in designing and delivering digital health services. Therefore, this systematic review attempted to identify the potential barriers to the implementation of digital transformation in the health sector of India. Systematic searches were employed across databases PubMed, PsycINFO, Science Direct, Web of Science, and Google Scholar for studies that reported digital transformation in India from inception to December 2022. Following narrative synthesis, studies were assessed for quality using JBI and the Mixed Methods Appraisal Tool (MMAT). Out of 1129 initially identified records, 26 studies that met the inclusion criteria were deemed eligible for final analysis. Although digital transformation in India's health sector occurred rapidly, especially during the COVID-19 pandemic, there are still potential barriers that impede its successful implementation in the country. Barriers identified are mainly associated with limited technological and medical infrastructure, data security and privacy, and a lack of physical examination. The need to address these barriers, recommendations for government and healthcare practitioners, and implications for future research are discussed. [ABSTRACT FROM AUTHOR]

This study examines the complexities of neobank marketing in India, moving beyond traditional banking paradigms. Using a descriptive research methodology, primary data was collected from 200 respondents through a self-structured questionnaire and analyzed with SPSS. The findings reveal that all respondents were aware of neobanks, but continued to use traditional banking services like savings accounts, credit, loans, and fixed deposits. Hypothesis testing indicates that neobanks achieve higher customer engagement through digital channels compared to traditional banks. Despite this, neobanks face significant challenges related to perceived trustworthiness, especially concerning data security. This has led to a lower level of trust in their marketing communications. However, the study highlights the agility of neobanks in adapting their marketing strategies to regulatory changes and their consistent innovation to stay competitive. Neobanks are more flexible and responsive to changing regulations and market demands, which is a notable advantage. The research recommends that neobanks reassess their marketing strategies to bridge the identified performance gap. Enhancing trustworthiness and data security measures is crucial to align with current market expectations. By addressing these issues, neobanks can improve their competitiveness and better meet customer needs. [ABSTRACT FROM AUTHOR]