<p class="0abstract"><span lang="EN-US">With every year’s start being a new beginning and a source of happiness, reigniting hopes and optimism around the world, the happiness and enjoyment of the year 2020 faded away quite earlier. It was not long into the year 2020 that the notorious COVID-19 hit the world. Millions of people died of it and billions of people got affected by it either directly or indirectly. With its impact on everybody, it drastically affected the business world as well; individuals lost their jobs and companies lost their businesses. However, companies learned to respond to the pandemic by converting their businesses to the online business model and the customers also shifted to online shopping. With this compelling shift, the customers still had the phobia of online shopping and tried to abstain from it as much as possible. To respond to this, a systematic review in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) was developed to offer a systematic and holistic literature review of the research regarding customer confidence in online shopping particularly by the use of Augmented Reality (AR) technology. The database of this review includes a set of 54 systemically selected state-of-the-art articles from Scopus database covering empirical and theory research conducted in different countries with different resource endowments. The results show that the use of AR technology can help customers in overcoming their shopping phobia and thus, it can be a source of enhanced online business for companies. Some possible opportunities for future research are also illustrated in this paper.</span></p>

Today’s world is technology-oriented, and the use of mobile devices is imperative for individuals to keep pace with the modern lifestyle. This paper aims to determine the causes that formulate a consumer’s choice to adopt mobile payment technology in an underdeveloped economy. Data is collected through an online questionnaire from a sample drawn from a population determined through a statistical database. Structural Equation Modeling (SEM) was employed to test the conceptual framework with the assessment of measurement and structural model. The software used is SmartPLS version 3.0. The results of data analysis show that even in the presence of perceived security risk, customers show a tendency to engage in mobile payment systems based on strong relationships among perceived ease of use and perceived usefulness with attitude towards the use of MPS. The results point out a strong affinity for mobility, compatibility, and subjective norms in mobile technology acceptance.