Model Technological Adoption and Job Security in Partial Least Squares Structural Equation Modeling (PLS-SEM)

This paper incipiently approaches state-of-the-art industrial outlook through intimate antecedents of employee's adoption to digital technologies deployed at their banks and correlation between digital adoption and employee job security. A quantitative survey is undertaken to reflect these two research dimensions with a sample of 470 employees working at commercial banks in Vietnam. Based on Partial Least Squares structural equation modeling (PLS-SEM), the research dimensions encompass four independent variables, namely digital competences, techno-stress, available technological training and guidance and portents of redundancy; and two dependent variables, including employee technological adoption and employee job security. Corresponding to proposed hypotheses, digital competencies and available technological training and guidance signify positive relationships, whereas techno-stress and portents signify negative relationships towards perceived employees’ adoption of digital technologies. Meanwhile, there is a positive association between participants perceived technological adoption and perceived job security. The values obtained from this study is beneficial for human resource professionals to handle labor relationships in developing banks’ practical training programs and retrenchment policies; and for banking employees to edify digital skills in response to in-demand digitalization.