Purpose This study aims to gauge the effect of rural–urban migration and its challenges on the urban development of Bengaluru. This study examines the driving forces behind urbanization and its impact on social, economic and environment areas. The research helps to establish the sustainable city planning, after evaluation of specific challenges of zones, and this mitigation will optimize government investment and reduce cost. Design/methodology/approach Bengaluru is used as a study area to examine the interaction of migration and urban development. The study covers the period between 2011 and 2019. Panel data analysis is applied to measure the effect of urban development indicators on urban migration. The authors applied the integrated urban metabolism analysis tool to quantify the urban development indicators and identified the most critical areas for migrants. Later, authors proposed mitigation measures based on alternate scenario approach. Findings The authors found that there is a mixed effect of urban migration on urban development across various zones in Bengaluru. Besides, the authors suggest how planned collaboration should play a significant role in urban planning and optimize city planning judiciously. Effective mitigation measures should be developed based on zone-specific core issues, and practical trainings, research, public awareness campaigns and skill up-gradation of migrants would enhance the socio-economic and environmental conditions. Research limitations/implications The study will support the ongoing and upcoming initiatives launched by the Government of India i.e. Awas Yojna, Atmanirbhar Bharat and Swach Bharat. Practical implications The structured city planning suggested in the study will help to save wastage of resources and cost and time of developers and policymakers. This will also help to upgrade the status of migrants and enhance the ambience of city around social, economic and environment fronts. Originality/value The first of its kind of innovative model mapped in the study area establishes a link between strategic city planning under rural–urban migration and urban development.
Purpose This paper aims to focus on the different types of insider-led cyber frauds that gained mainstream attention in recent large-scale fraud events involving prominent Indian banking institutions. In addition to identifying and classifying cyber fraud, the study maps them on a severity scale for optimal mitigation planning. Design/methodology/approach The methodology used for identification and classification is an analysis of a detailed literature review, a focus group discussion with risk and vigilance officers and cyber cell experts, as well as secondary data of cyber fraud losses. Through machine learning-based random forest, the authors predicted the future of insider-led cyber frauds in the Indian banking business and prioritized and predicted the same. The projected future reveals the dominance of a few specific cyber frauds, which will make it easier to develop a fraud mitigation model based on a victim-centric approach. Findings The paper concludes with a conceptual framework that can be used to ensure a sustainable cyber fraud mitigation ecosystem within the scope of the study. By using the findings of this research, policymakers and fraud investigators will be able to create a more robust environment for banks through timely detection of cyber fraud and prevent it appropriately before it happens. Research limitations/implications The study focuses on fraud, risk and mitigation from a victim-centric perspective and does not address it from the fraudster’s perspective. Data availability was a challenge. Banks are recommended to compile data that can be used for analysis both by themselves and other policymakers. Practical implications The structured, sustainable cyber fraud mitigation suggested in the study will provide an agile, quick, proactive, stakeholder-specific plan that helps to safeguard banks, employees, regulatory authorities, customers and the economy. It saves resources, cost and time for bank authorities and policymakers. The mitigation measures will also help improve the reputational status of the Indian banking business and prolong the banks’ sustenance. Originality/value The innovative cyber fraud mitigation approach contributes to the sustainability of a bank’s ecosystem quickly, proactively and effectively.
The banking industry has been going through rapid transformation due to progressive economic reforms, changing demographics and fast-paced technological developments. Banks in India have been facing multitudinous challenges such as regulatory risks, upgradation of technology, intense competition, workforce challenges and operational risk. Workforce challenge plays a vital role among other challenges. The extant literature review shows that several studies have identified various workforce challenges of banks. However, their impact has not been quantified for effective risk mitigation. Such studies are more observatory than investigational. The present study aims to identify the major workforce challenges of banks through a structured approach that includes literature review, focus group discussion, assimilation of consultancy reports and conducting risk perception survey. The scope of the current study is limited to Indian public and private sector banks. As per literature review, the major workforce challenges identified are lack of required skills, performance management, inadequate recruitment and career planning and increasing staff cost. The workforce challenges are identified using factor analysis and a conceptual model is proposed for mitigation of key challenges.
Purpose Banks are exposed to many challenges to name a few i.e. growing market competition, political environment, market forces of demand and supply, technological changes, frauds and poor management. The banking sector devasted experiences of fraud have impacted all facets of the Banking, Financial Services and Insurance. In continuation, this study aims to revolve around themes of different types of frauds, especially insider frauds that have gained mainstream attention in recent major value fraud events with prominent Indian banks. This study will identify the types and drivers of insider frauds. Design/methodology/approach The methodology opted for the study is through confidential primary survey and focused group discussion with risk officers of banks who are associated with Indian banks for more than three years, further to understand the relation between type of Insider frauds and originating drivers were paired based on the principal component analysis. Findings Finally, the paper concludes with the conceptual mitigation framework for different types of insider fraud and driver pairs within the scope of this paper. This paper thought will support policymakers of the Indian banking system to create a more robust environment within the banking system via timely detection of frauds so that up to an extent it can be squared before it appears. Originality/value The study is innovative in the area of banks’ internal fraud management, where original data collected through a primary survey contributes to the conclusion of fraud management for various Indian banks.
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