A rapidly graying population has coincided with the widespread use of information technology (IT) since the turn of the 20th century. As the elderly are less familiar with IT, paying attention to the acceptance of the rapidly evolving digital marketing ecosystem is essential. Engagement with consumers and M-technologies is one of the most significant aspects of the digital marketing environment. The technology acceptance model (TAM) and the theory of planned behavior (TPB) were used to develop the theoretical framework of this study. Using technological anxiety as a moderating variable, we tested the theoretical model linking perceived value, subjective norm, effort expectancy, performance expectancy, and self-efficacy to measure older adults’ attitudes and intentions toward M-technology. Sample sizes of 251 respondents were selected with 95% confidence. To analyze the relationships between the variables proposed, structural equation modeling (SEM) was implemented. The results revealed that perceived value positively affects performance expectancy, effort expectancy, self-efficacy, subjective norm, attitude, and intention to adopt M-technology. Furthermore, technology anxiety moderated the effect of intention toward M-technology. The results explain that technology anxiety dampens the positive impact of the attitude of older adults on their intention to adopt M-technology. Managers must address this issue while developing marketing strategies for elderly consumers.

The global value chain has promoted foreign direct investments in emerging markets. Not only resources but also public policies can affect the inflows or outflows of foreign direct investments (FDI). This study investigates the effect of economic policy uncertainty on net foreign direct investment inflows in 48 Asian countries. We use the panel dataset from different sources from 1995 to 2020. Our core dependent variable is net foreign direct investment inflows, and the explanatory variable is economic policy uncertainty. The study’s control variables include trade, GDP per capita, GDP growth, population, financial development, inflation, and employment. We use the generalized system method of moment (SYS_GMM). Furthermore, the robustness of our empirical results is checked by using the different proxy variables of policy uncertainty. Our results confirm the negative effect of policy uncertainty on foreign direct investment inflows in 48 Asian countries. Our results show that foreign investment inflows are more sensitive than domestic investment. The influence of domestic and global uncertainty on inward FDI is greater than domestic investment. Furthermore, the interaction effect of financial development (FD) shows that FD does not affect mitigation of the negative impact of global economic policy uncertainty on foreign investment inflow. In contrast, FD mitigates the adverse effects of domestic policy uncertainty on foreign and domestic investment. The findings imply that policies need to be attractive, effective, and transparent to woo FDI to the emerging markets.

The capital structure determinants for South Asian banks are required to be exposed. This investigation attempts to address the existing gap by examining the capital structure determinants for the South Asian Association for Regional Cooperation (SAARC) countries. To accomplish the main objective, the Panel Data of 52 banks is collected from the four main regional economies for the period starting from 2012 to 2022. The methodology is based on the estimation of constructed models by executing Static Panel Data analysis and Dynamic Panel Data analysis via the Generalized Method of Moments (GMM). The investigation discovered that tangibility, growth, profitability and non-performing loans have positive significant influences, whereas, liquidity and gross domestic products have negative significant impacts on the regional banks' capital structure. Also, the significant lagged variable and the presence of adjustment speed suggest the implementation of the Dynamic Trade-Off theory in the SAARC countries' banking sectors. The findings will help regulatory bodies develop a harmonization policy to enhance financial integration among SAARC economies via adopting identified capital structure determinants.