Financial Transactions Through Banking Agency Selections In Thailand

This quantitative research is based on the data collected from an online questionnaire completed by a representative sample of 860 respondents; the Discriminant Analysis was used for data analysis and to create the group classification equation. The findings demonstrated that the factors influencing the selection of banking agents include age, career, marital status, savings, frequency of counter service uses, opinion of agent system and overall banking agent. These variables were used to form a model function of group selection. Furthermore, unstandardized discriminant equations were used to predict group membership, with 70.8 percent predicting correctly. Apart from this, our suggestion for future studies is to observe a population differing in age because each person has different opportunities and, as such, a different potential to access the new technology. Since opinions of banking agents played an important role in this study, financial institutions must ensure that the safety policies protecting banking agents? clients are of the same standards as those of the appointing financial institutions.