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This research paper attempts to empirically examine the relationship between the performance of the banking industry and foreign direct investment (FDI), thereby helping the readers contemplate one of the least explored areas of the existing literature associated with the idiosyncratic characteristics of FDI resulting from its interaction with the efficient banking performance of the host country. The study has focused on the economy of Bangladesh because of its significant amount of FDI inflows from the rest of the world and its adoption of many liberalization policies, especially in the banking sector and in the areas of international business and trade.

The study, to produce unbiased estimates, employed the autoregressive distributed lag (ARDL) model for analyzing the time series data collected from reliable sources.

The key outcomes of the study reveal that the sound performance of the banking industry appears to be counterproductive for FDI inflows, which is a bit unconventional insight. In the context of Bangladesh, trade openness, inflation rate and infrastructural development seem to be the dominant factors behind the rising inflows of FDI. Market size appears to be an insignificant determinant of FDI inflows.

This is a unique study because of its focus on the unexplored area in the literature.

Online shopping around the world is growing exponentially, especially during the COVID-19 pandemic. This study aims to examine how an online customer's purchasing experience influences his/her buying intention and willingness to believe in fraud news, as well as the ripple impact of satisfaction and trust, with gender as a moderator in an emerging economy during COVID-19.

Based on the underpinning of the stimulus-organism-behavior-consequence (SOBC) theory, the research model was developed, and collected data from 259 respondents using convenience samples technique. Next, the data were analyzed using partial least squares-based structural equation modeling (PLS-SEM), SPSS (Statistical Package for the Social Sciences) and Hayes Process Macro.

The study results confirmed that the online shopping experience (OSE) has positive impact on customers' satisfaction (CS), purchase intention (PI) and customer trust (CT); CS has positive effects on trust toward online shopping and their future product PI; future product PI significantly affects customers' propensity to believe and act on fraud news (PBAFN). The finding also states that gender moderates the relationships of CS to PI, OSE to PI and PI to PBAFN, but doesn't moderate the CT to PI relationship.

The study findings will assist policymakers and online vendors to win customers' hearts and minds' through confirming satisfaction, trust and a negative attitude toward fake news, which will lead to customer loyalty and the sustainable development of the industry. Finally, the limitations and future research directions are discussed.