A Study on Technology-Driven International Trade: Factors Identification based on Asian Countries

Abstract

In a pandemic situation, a new trading paradigm emerges, particularly face-to-face trading, which has fallen out of favor of electronic trading. This framework was used to develop a technology-driven international trade research classification. This study illustrates the relationship between attitude, subjective norm, trust, facilitating condition, risk, pandemic, behavioral intention, and international adoption of international trade. Furthermore, it identifies the behavioral intention and adoption of international trade relationships. Also, examine behavioral intention's mediating effects in the international trade. In line with the objective, these authors used quantitative analysis through SPSS as a statistical tool. The findings of this study sums up Asian technology-driven international trade among the countries. Asian economies have a broad acceptance of technology-driven international trade, according to this study. Additionally, this research unlocks further frontiers in international trade, particularly Asian countries, which concerns the pandemic impact as well.