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This chapter provides a comprehensive investigation of the literature on sustainability reporting in Islamic banks using a content analysis of 200 English language articles published between 2000 and 2023. The data were collected from the Web of Science (WOS) database and analyzed using Bibliometrix in R software. This chapter addresses the trends of the most influential authors, institutions, countries, and research hotspots. This chapter fills one of the gaps in sustainability reporting literature, setting up a statistical description of the principal features of sustainable Islamic banking research and carrying out an analysis of its knowledge structure via bibliometric analysis. This chapter found that the number of articles on sustainability reporting in Islamic banks has increased over time; however, it is concentrated on a few core sources and authors, mostly related to Islamic finance, accounting, and ethics, as well as sustainability and social responsibility. The analysis of the co-authorship network shows a limited degree of collaboration between researchers from different clusters. The most productive and collaborative countries are Malaysia, the United Kingdom, and Pakistan, reflecting their well-developed and regulated Islamic banking industries that follow sustainability guidelines and frameworks. Moreover, the co-word analysis identifies 11 clusters and 43 keywords that represent the main topics and themes in the field, such as corporate governance, performance, disclosure, and risk. This chapter suggests some directions for future research and action on sustainability reporting in Islamic banks. This chapter contributes to the literature on sustainability in Islamic banking and the UN 2030 Agenda for Sustainable Development.

This chapter explores how the intersection of disability and family has evolved in the US medical field over the 19th, 20th, and 21st centuries. Through an analysis of the Proceedings of the American Medical Association, this work demonstrates how physicians describe and view the connections between disability and family in bureaucratic activities. The exploration of the Proceedings documents elucidates the changing process around how physicians define the relationship of disability and family in the US through bureaucratic and policy discussions. A qualitative approach of content analysis is employed to evaluate the American Medical Association Proceedings of the House of Delegates from 1846 to 2022. Data collection applies deductive coding focusing on various terms related to the conceptualization of families with analysis exploring themes around disability within the searched terms. Results demonstrate how US physicians describe the relationship between disability and family over time in the US context. The findings highlight cases in which the medical establishment recognizes itself as a potential source of burden, families choosing burdens of supporting or not supporting family members with disabilities, and the medicalization of social phenomena related to disability. Additional findings include discussions of support systems that families with disabled family members can leverage for assistance. This first-of-its-kind longitudinal content analysis study provides insights on the meaning-making processes of physicians in relation to how conceptualizations of disability and family are described in medical proceeding documents. The value of this work lies in both the findings of how physicians describe the intersection of disability and family as well as the viability of medical proceeding documents for analyzing cultural-social phenomena. Additional value is added with the notion that physicians view disability in a familial context as being caught between problems and support.

Bailey et al. (2001) queried accounting researchers concerning admitted fraudulent research practices, their beliefs about the prevalence of such practices among their peers, and their perceptions of the causal factors. They used a randomized response technique that assures anonymity, and it remains the only published study to ask these questions explicitly. Over the past two decades, publication pressures have increased, and accounting academia has experienced a shocking instance of fraud. The current study replicates Bailey et al. (2001) and extends the study by asking new questions about the adequacy of participants’ graduate training, the perceived attitudes and practices of mentors and coauthors, and whether their awareness and concern have evolved. Participants’ comments provide insights about the accounting research environment. Importantly, they indicate a lack of consensus about the legitimacy of research practices.

In today's advanced economy, there is a broader presence of information revolution, such as artificial intelligence (AI). AI primarily drives modern banking, leading to innovative banking channels, services and solutions disruptions. Thus, this chapter intends to determine AI's place in contemporary banking and stock market trading.

Stock market forecasting is hampered by the inherently noisy environments and significant volatility surrounding market trends. There needs to be more research on the mantle of AI in revolutionising banking and stock market trading. Attempting to bridge this gap, the present research study looks at the function of AI in banking and stock market trading.

The researchers have synthesised the literature pool. They undertook a systematic review and meta-synthesis method by identifying the major themes and a systematic literature review aided in the critical analysis, synthesis and mapping of the body of existing material.

The study's conclusions demonstrated the efficacy of AI, which has played a robust role in banking and finance by reducing risk and operational costs, enabling better customer experience, improving regulatory complaints and fraud detection and improving credit and loan decisions. AI has revolutionised stock market trading by forecasting future prices or trends in financial assets, optimising financial portfolios and analysing news or social media comments on the assets or firms.

AI's debut in banking and finance has brought sea changes in banking and stock market trading. AI in the banking industry and capital market can provide timely and apt information to its customers and customise the products as per their requirements.