Social entrepreneurship plays a role in sustainable development to value creation, delivering and capturing, in this article, researchers attempted to find the nature of the relationships between the sustainable development and its latent variables, and how can these variables effect on sustainable development. Two models were used to estimate the relationships mentioned before, structural equation model and bidirectional causality model, in the case of 15 the regional comprehensive economic partnership (RCEP) countries that are home to nearly a third of the world's population, and account for 29% of GDP. The study found some interesting results which consistence with the results of previous studies in this field, like that there has a positive relationship between the social entrepreneurship and sustainable development, and positive relationship between the innovations and sustainable development and in the regard of the institutions variable, the study also found that there is an indirect effect on innovation.

Purpose: Despite extensive discussion of this topic in the life and financial transactions of people, there is a lack of empirical evidence related to challenges and opportunities of digital financial inclusion sustainability in the existing literature. Accordingly, this study aims at investigating the factors that influence the diffusion rate of digital financial services.Design/methodology/approach: In this study, the authors propose an integrated model by synthesising the extended Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) with the perceived security and perceived privacy as independent variables, as well as the financial awareness as the moderator variable. The survey was distributed to the potential users of digital financial services rather than the actual users. A total of 270 responses were analysed by a quantitative method of Partial Least Squares-Structural Equation Modelling (PLS-SEM).Findings: The results indicated the significant role of the postulated hypotheses that behavioural intention to use digital financial services platforms is significantly and positively influenced by the subjective norm, performance expectancy, price value, perceived security and perceived privacy, whilst the financial awareness was found to moderate some specified relationships.Originality/value: There are few studies on this topic for the Arabian context. The information presented in this article can be useful for professionals and researchers, and further, implications of the study are discussed.

The main goal of the current paper is to investigate the factors that influence Millennials’ adoption of digital payments among Generation Z by analyzing the potential effects of perceived convenience, perceived cost, perceived security, perceived convenience, innovativeness, and social influence on the adoption of digital payments. A total of 258 individuals in Malaysia were asked to complete a questionnaire to gather statistics. To assess the research model and test the hypotheses, structural equation modeling with partial least squares (SEM-PLS) was utilized. Smart PLS path analysis results revealed that perceived convenience, perceived security, perceived cost social influence, and innovativeness were positively significant determinants of digital payment adoption. This study offers fresh theoretical perspectives for identifying potential adoption barriers that need to be addressed. Concerns about privacy and security, a lack of information or comprehension, and aversion to change are all prevalent challenges among Millennials. Recognizing these limitations allows service providers to incorporate measures such as better security features, educational campaigns, and user-friendly interfaces to alleviate these concerns and boost adoption.

Purpose: This study investigates the effects of the COVID-19 outbreak on daily stock returns for the six major affected WHO Regions, namely: Africa, Americas, Eastern Mediterranean, Europe, South-East Asia and Western Pacific.Design/methodology/approach: This study uses an event study method and panel-data regression models to examine the effect of the daily increase in the number of COVID-19 confirmed cases on daily stock returns from 1 March to 1 August 2020 for the leading stock market in major affected countries in the WHO regions.Findings: The results reveal an adverse impact of the daily increasing number of COVID-19 cases on stock returns and stock markets fell quickly in response to the pandemic. The findings also suggest that negative market reaction was strong during the early stage of the outbreak between the 26th and 35th days after the initial confirmed cases. We further find that stock markets in the Western Pacific region experienced more negative abnormal returns as compared to other regions. The results also confirm that feelings of fear among investors turned out to be a mediator and a transmission channel for the effect of COVID-19 outbreak on the stock markets.Research limitations/implications: This study contributes to financial literature in two ways. First, we contribute to existing literature that has examined the effect of various catastrophes and crises on the stock markets Second, we contribute to the recent emerging literature that examines the impact of COVID-19 on financial markets.Practical implications: The study may have implications for policymakers to deal with this outbreak without triggering uncertainty in stock markets and reassure investors' confidence. The study may also be of interest to investors, managers, financial analysts by revealing how the stock markets quickly respond to outbreaks.Originality/value: This study is the first study to examine the impact of the COVID-19 outbreak on the leading stock markets of the WHO regions.