The technologies have increased the role of IT in evolving the path for the future. A sense of belonging and significance to the market is felt by current industries. Procurement, assembly, and supply were affected by the digital revolt that has swept the world. Now machine learning is a hot area among scholars and industry professionals. Two decades ago, there were few publications of machine learning and supply chain management. SCM-related ML application research hasn't been thoroughly examined in the literature till date with respect to the Indian steel industry. As a result, this study examined articles from Jan. 2010 to Dec. 2020 in five major databases to present the latest research trends. A quantitative analysis of 112 shortlisted articles revealed that there were not enough publications to form a strong group force in this field. This study's comprehensive look at ML techniques used in SCM will help future research. A true reflection of today's industries, the chapter accurately reflects prospects to express feelings, thoughts, and contribute to future industries. Request access from your librarian to read this chapter's full text.

This study presents a detailed literature review on financing for renewable and sustainable energy through bibliometric analysis and scientific mapping, utilizing the Scopus database from 2000 to 2023. Using network analysis techniques, it identifies eight main clusters, each focusing on different aspects of financing renewable energy and their geographic and technical contexts. The study highlights the most frequently cited articles, notable authors, key institutions, affiliations, and journals in sustainable energy finance. A random effects model meta-analysis was also conducted to assess the overall effect size of each research stream. Findings indicate that the literature on renewable energy finance has expanded since 2000 and exhibits considerable diversity. The study pinpoints five major themes suitable for discussion and exploration of new research questions: (i) the role of Fintech in renewable energy finance, (ii) the regulatory framework governing renewable energy finance, (iii) the economic feasibility of renewable energy in emerging markets, (iv) the influence of private and public finance on renewable energy development, and (v) the relationship between renewable energy finance and sustainable development goals. The insights from this study aim to inspire and equip readers as they embark on their inquiries into the connections between energy investment, policy, finance, and behavioral sciences. Following identifying research gaps, this paper outlines potential future research directions. It serves as a thorough resource on current trends in sustainable energy investments and recommends viable research topics, thus benefiting researchers, professionals, and policymakers alike.

The rapid rise and widespread global adoption of cryptocurrencies in recent years has fundamentally transformed the international financial landscape, with digital assets increasingly being recognized for their potential to influence the stability and performance of traditional capital markets. Against this backdrop, this study aims to empirically investigate the impact of cryptocurrency returns on Islamic vs. conventional stock returns in Gulf Cooperation Council (GCC) countries. The salient distinctions between Islamic and conventional stock markets include fundamental differences in principles, investment allocations, and risk profiles, underscoring the importance of examining the impact of cryptocurrency returns on these distinct equity segments. Daily data were collected from stock indices in five GCC countries over the period 2016–2019, including two sub-periods: before and after the 2017 crypto crash. Pooled OLS, fixed effects, random effects, and generalized linear models (GLMs) were used to analyze the data collected during the study. With the GCC increasingly focusing on cryptocurrency markets, there is growing concern about these markets’ potential impact on regional stocks. This study addresses the important questions of whether the impacts of the cryptocurrency market on Islamic vs. conventional stock markets differ throughout the GCC region and how these impacts have evolved since the crypto crash period. The findings reveal that cryptocurrency returns had a negative impact on both GCC Islamic and conventional stock market returns for the full sample period (2016–2019), and the negative effect was far more pronounced for conventional stocks. For the two sub-periods before and after the crash, only the cryptocurrency market and conventional GCC stocks remained negatively correlated, while the cryptocurrency market and the GCC Islamic stock markets became uncorrelated. Thus, for the calmer sub-periods before and after the crypto crash, the rise in cryptocurrency returns may have enticed GCC investors away from conventional stocks, perhaps resulting in a decline in their investment in these stocks. Meanwhile, those who invest in Islamic stocks may not be exposed to this temptation.