RESUMEN
Big data analytics (BDA), as a new innovation tool, played an important role in helping businesses to survive and thrive during great crises and mega disruptions like COVID-19 by transitioning to and scaling e-commerce. Accordingly, the main purpose of the current research was to have a meaningful comprehensive overview of BDA and innovation in e-commerce research published in journals indexed by the Scopus database. In order to describe, explore, and analyze the evolution of publication (co-citation, co-authorship, bibliographical coupling, etc.), the bibliometric method has been utilized to analyze 541 documents from the international Scopus database by using different programs such as VOSviewer and Rstudio. The results of this paper show that many researchers in the e-commerce area focused on and applied data analytical solutions to fight the COVID-19 disease and establish preventive actions against it in various innovative manners. In addition, BDA and innovation in e-commerce is an interdisciplinary research field that could be explored from different perspectives and approaches, such as technology, business, commerce, finance, sociology, and economics. Moreover, the research findings are considered an invitation to those data analysts and innovators to contribute more to the body of the literature through high-impact industry-oriented research which can improve the adoption process of big data analytics and innovation in organizations. Finally, this study proposes future research agenda and guidelines suggested to be explored further.
RESUMEN
The aim of this paper is to investigate the impact of Covid-19 on Amman Stock Exchange performance (ASE) in Jordan using the Auto Regressive Distributed Lag Model (ARDL) and daily observations over the period of January 3, 2021 to April 25, 2021. The variables included in this study are the ASE index, the Covid-19 positive cases, the Covid-19 death cases, the Covid-19 recovered cases, the world Oil prices and the Euro/JD exchange rate. The long-run results reveal that positive cases have negative effect on ASE performance, recovered cases and exchange rate have positive effects. The positive reaction of the performance of ASE to movements in exchange rate may be attributed to the fact that imports largely exceeds exports. Therefore, an appreciation of the JD makes imports less costly which goes in line with economic theory as gross consumption in Jordan is mainly attributed to foreign products. Furthermore, positive cases are also highly significant while death cases are not which could be attributed to the fact that positive cases may have spill-over effect while death cases may not. Also, the magnitude of positive cases is much larger than that of death cases. In the short-run, all variables except recovered cases cause the performance of ASE. The system adjusts in the current day to any short-run departure in the previous day from long-run equilibrium in the previous day, which confirms the evidence of the long-run cointegration relationship. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.