Factors affecting farmers' intention to use ECEs in Covid-19 pandemic: combining the technology acceptance model (TAM) and barrier factors

Abstract

PurposeThis study aims to analyze the factors affecting tea-producing farmers' intention to use e-commerce exchanges (ECEs) to sell their products, combining the technology acceptance model (TAM) theory and barrier factors.Design/methodology/approachThe authors use the generalized structural equation modeling (GSEM) to analyze the intermediate model that is built on TAM.FindingsResearch results show that perceived usefulness (PU) and perceived ease of use (PEU) significantly influence farmers' intention to use ECEs to sell their products. However, knowledge and information barriers hinder farmers' intention to use such ECEs.Research limitations/implicationsEncouraging farmers to use ECEs is the most helpful solution for agricultural economic development in the context of the Covid-19 pandemic.Originality/valueFrom an academic perspective, this is the first study that combines the TAM theory of Davis (1989) and barrier factors to analyze farmers' intention to use ECEs. The findings are valuable references for policymakers to propose strategies for agricultural economic development during the current pandemic. At the same time, the empirical results obtained from this study provide good orientations for agricultural economic development 4.0 in the future.