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1 – 10 of 21This chapter introduces what a digital ID is, why it is important, how it works, the design choices, as well as how central banks can collaborate with other stakeholders in…
Abstract
This chapter introduces what a digital ID is, why it is important, how it works, the design choices, as well as how central banks can collaborate with other stakeholders in promoting digital ID infrastructures for use in digital financial services.
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The paper aims to examine the impacts and ethics of utilizing Artificial Intelligence (AI) in Indian policing. It explores both the positive and negative consequences of using AI…
Abstract
Purpose
The paper aims to examine the impacts and ethics of utilizing Artificial Intelligence (AI) in Indian policing. It explores both the positive and negative consequences of using AI, as well as the ethical considerations that have be taken into account.
Design/methodology/approach
This study is based on secondary sources of information, such as national and international reports, journal articles, and institutional websites that discuss the use of AI technology by the police in India.
Findings
AI has proven to be effective in policing, from preventing crime to identifying criminals, by detecting potential crimes in advance with fewer resources and in more areas. In India, the police use AI technology not only for facial recognition but also for crime mapping, analysis, and building blocks. However, factors such as caste, religion, language, and gender continue to cause conflict. India has shown a strong interest in using AI technology for policing, and wishes to accelerate its implementation in various policing contexts, including law and order. This paper calls for an assessment of the complexities and uncertainties brought about by new technologies in policing with ethical considerations.
Originality/value
This paper can provide valuable insights for policy-makers, academics, and practitioners engaged in discussions and debates concerning the ethical considerations associated with the adoption of AI tools in policing practices.
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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…
Abstract
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.
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Chiara Pastore, Nigel Rice and Andrew M. Jones
We explore the effect of selective schooling, where students are assigned to different schools by ability, on adult health, well-being and labour market outcomes. We exploit the…
Abstract
We explore the effect of selective schooling, where students are assigned to different schools by ability, on adult health, well-being and labour market outcomes. We exploit the 1960s transition from a selective to a non-selective secondary schooling system in England and Wales. The introductio3n of mixed-ability schools decreased average school quality and peer ability for high-ability pupils, while it increased them for low-ability pupils. We therefore distinguish between two treatment effects: that of high-quality school attendance for high-ability pupils and that of lower-quality school attendance for low-ability pupils, with mixed-ability schools as the alternative. We address selection bias by balancing individual pre-treatment characteristics via entropy balancing, followed by ordinary least squares (OLS) regression. Selective schooling does not affect long-term health and well-being, while it marginally raises hourly wages, compared to a mixed-ability system, and school aspirations for high-ability pupils. Cognitive and non-cognitive abilities measured prior to secondary school are significantly and positively associated with all adult outcomes.
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Sumit Agarwal and Tan Chek Ann
Fintech has revolutionized personal finance, introducing innovative tools that offer unprecedented access, efficiency, and security in managing finances. This chapter explains…
Abstract
Fintech has revolutionized personal finance, introducing innovative tools that offer unprecedented access, efficiency, and security in managing finances. This chapter explains fintech's personal finance applications, from intuitive budgeting apps and advanced robo-advisors to peer-to-peer payment platforms. It articulates how these tools have shifted the control and management of finances into the hands of consumers, providing real-time financial data, customized investment strategies, improved credit scores, and streamlined transactions that eliminate the need for traditional intermediaries. Furthermore, this chapter features a select list of FinTech50 firms and highlights how individuals can leverage their services. This comprehensive guide is invaluable for individuals seeking to leverage fintech for personal finance optimization and for professionals keen on understanding and navigating the rapidly evolving fintech landscape.
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The enrolment rates of students with special needs (SwSN) decrease from primary to secondary education and decline steeply in higher education. The incessant impact of stigma and…
Abstract
Purpose
The enrolment rates of students with special needs (SwSN) decrease from primary to secondary education and decline steeply in higher education. The incessant impact of stigma and misconceptions about their capability in academic performance acts as a major roadblock for students with mental health conditions (SwMHC) while seeking and pursuing higher education, in addition to the host of other challenges faced by all SwSN. SwMHC are the least represented in higher educational institutions (HEIs) and are seldom considered when it comes to the provision of support and accommodation. Policies across countries aim to make education accessible and inclusive for SwSN, including India. This study aims to appraise the current policies and legislation in terms of the support they provide for SwMHC.
Design/methodology/approach
This study is a “document analysis” of all policies, legislation, schemes and guidelines that impact the higher education of SwMHC to recognize the existing provisions that are likely to impact the higher educational outcomes for SwMHC.
Findings
The issues of access, accommodation, equity, inclusion, and financial support are appropriately handled by the current policies and legislation. The National Education Policy (NEP) 2020 serves as a holistic guidebook and the Rights of Persons with Disabilities Act (RPDA) 2016 provides the legislative framework for realizing education as a ‘right for all.’ The RPDA ensures open gateways of HEIs for all SwSN through reservations and mandating necessary support and accommodation. NEP guides inclusion and equity in higher education. The ‘University Grants Commission’, an autonomous body under the Ministry of Education, is a crucial stakeholder in achieving the vision of supportive policies by formulating requisite guidelines and monitoring their implementation.
Originality/value
The study involved document analysis spanning macro to micro level, i.e. from national policies and legislation to policies and guidelines of autonomous or statutory organizations to institutional-level policies and documents.
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Rukma Ramachandran, Vimal Babu and Vijaya Prabhagar Murugesan
This systematic literature review aims to explore the adoption, global acceptance and implementation of human resources (HR) analytics (HRA) by reviewing literature on the…
Abstract
Purpose
This systematic literature review aims to explore the adoption, global acceptance and implementation of human resources (HR) analytics (HRA) by reviewing literature on the subject. HRA adoption can assist HR professionals in managing complex procedures and making strategic human resource management (SHRM) decisions more effectively. The study also aims to identify the applications of analytics in various disciplines of management.
Design/methodology/approach
The review is conducted using a domain-based structured literature review (SLR), emphasizing the diffusion of innovative thinking and the adoption process of HRA among early adopters. The philosophical stances are analyzed with the combination of research onion model and PRISMA protocol. Secondary data are gathered from published journals, books, case studies, conference proceedings, web pages and media stories as the primary source of information.
Findings
The study finds that skilled professionals and management assistance can significantly impact adoption intentions, enabling professionals to deal with analytics. The examples and analytical models provided by early adopters allow managers to manage complex processes and make SHRM decisions.
Research limitations/implications
The study suggests that the lack of use of quantitative techniques is a key limitation and should be considered in future studies. Despite the rise in the number of research papers on HRA, its application in the workplace remains limited.
Practical implications
This research can assist managers in implementing HRA and help resolve complex and inefficient processes, making SHRM decisions.
Originality/value
This study adds to the existing body of knowledge on how HRA can aid a company's efficacy and performance and can be considered one of the first to link adoption and HRA.
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