Bibliometric analysis of stock market performance throughout the COVID-19 outbreak

In this study the author examines the effect of the speed of population aging on the financial markets in 11 OECD (The Organisation for Economic Co-operation and Development) countries after controlling the proportion of labor population, the growth rate of real GDP (Gross Domestic Product), the rate of increasing productivity, inflation rate, and the rate of increasing scale of pension market. The author finds that the performance of stock market is affected by complex factors including increasing of average life expectancy, the growth rate of real GDP, the rate of increasing productivity, the inflation rate, the earning rate of stock market and the rate of increasing scale of pension market. Especially, the proportion of economically active people is the most significant factor to explain the stock market performance. Considering the decreasing proportion of economically active people in aging societies, the decrease of productivity and eventually the decrease of earnings from financial markets would be expected.

This study aims to investigate the quality management of public transportation services in the Tunisian context during the COVID-19 outbreak. The empirical study was based on the conjoint analysis approach. The sample collected is composed of 250 individuals who often use the train as a means of transport and the pairwise comparison method is adopted for conjoint analysis.
This study assesses quality management of customer service and takes into account four aspects of service quality such as comfort, way of reservation (possibility of online booking), speed, and safety. The findings revealed that the optimal combination of service offered by the Tunisian national railway company is characterized by the terms “first class”, “online booking”, “express”, and “safety”. It is favored by Tunisian customers during the COVID-19 outbreak.
Additionally, the results show that the maximum utility corresponds to the “safety train” modality followed by “second class”, “online booking”, and finally “stopover”. Moreover, the use of new information and communication technologies (NICT) has importance for train users during the COVID-19 outbreak. Indeed, Tunisians are looking for safety and measures to reduce crowding in a train, to minimize the risk of contagion of COVID-19 outbreak.

Generation Z makes up the largest proportion of the world’s population and owns active spending power. Born in the internet information age, they have diverse values and consumer behaviors compared to other cohorts of generations. While there has been a significant increase in research on the purchasing behavior of Generation Z in recent years, there are particularly few bibliometric studies in this field. This study aims to sort out the current research status on the purchasing behavior of Generation Z, identify the evolution of purchasing behavior research of Generation Z, determine key research hotspots, and explore future research directions and priority suggestions by analyzing the current literature. The bibliometric analysis is based on the citation information of 638 literature items about Generation Z purchasing behavior in the Scopus database. The results sort out the knowledge structure of the purchasing behavior domain of Generation Z and draw a visual map of the network. Four popular research themes are identified based on keyword co-occurrence analysis, namely the influencing factors of Generation Z consumption behavior, the comparative study with other generations of consumers, the analysis from the perspective of human demography, and the study of sustainable consumption behavior. Studies on Generation Z consumers’ spending habits from 2001 to 2022 may be divided into three stages related to the growth process of Generation Z. Future research should focus on the influence of social media on the purchasing behavior of Generation Z and the sustainability of their consumption patterns.