The potential of blockchain technology (BCT) to modify and innovates established business structures and frameworks has received widespread attention. Academia and businesses are becoming increasingly curious about how this technology could be used to improve and refine consumer services and operations. Despite the growing popularity of blockchain research in consumer services, there remains a dearth of detailed summaries in the literature. Hence, this bibliometric analysis, combined with a systematic literature review (SLR) using SPAR‐4‐SLR protocol with the theories, characteristics, contexts, and methods framework (A hybrid review), aims to convey qualitative and quantitative knowledge on the ever‐evolving subject of blockchain application in consumer services in an organized manner. Specifically, this article analyses: (1) the current publication trends in studies devoted to blockchain‐based applications for consumers, (2) the most important publications and themes of research in this field, (3) the evolution of blockchain in consumer service over the years, and the most current trends in this field, (4) the advantages and challenges of incorporating BCT into consumer services, (5) gaps in the existing literature that future researchers should investigate. In addition, this review also describes the widely used theories, characteristics, and methods in the application of blockchain in consumer service research by examining the most applied theories, methods, constructs, and study contexts and paving the way for new research directions. The review includes 417 documents after searching for scholarly publications in two databases (Web of Science and Scopus) and choosing documents based on their relevance to the stated goals.
Across the globe, the havoc of the pandemic known to be a black swan event has brought miseries, deaths, uncertainty, loss of lives and jobs holding the humanity in a state of despair. The financial markets have been equally hit by the pandemic due to on-going uncertainty and hopelessness among the masses. The aim of this study is to examine the volatility contagion and dynamic conditional correlations between eight stock indices during the gloomy period to validate that there is a scope for revisiting the investment portfolio, create natural hedge in the investment portfolio by using exponential generalised autoregressive conditional heteroscedasticity (EGARCH) and dynamic conditional correlation generalised autoregressive conditional heteroscedasticity (DCC-GARCH) approach. We conducted an in-depth analysis of capturing volatility among stock indices ranging from tracking the volatility followed by estimating persistence and multivariate volatility contagion of major stock indices of developed and developing economies during turbulent times of the pandemic when the globe was reeling under the taxing consequences of the first and second wave of COVID-19. There are very few studies that have conducted an in-depth analysis of capturing volatility of stock indices ranging from tracking the asymmetric volatility followed by estimating persistence and multivariate volatility contagion of major stock indices of developed and developing economies during turbulent times of the pandemic when the globe was reeling under the taxing consequences of the first and second wave of COVID-19.
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