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Abstract

In order for an organization to continue to exist, it must have the courage to face challenges and their implications, namely facing change and winning the competition. The resources owned by an organization such as capital, methods and machines cannot provide optimum results if they are not supported by human resources who have optimum Work Productivity. Data analysis is an interpretation for research aimed at answering research questions in order to uncover certain social phenomena (Santoso, 2012). Data analysis is the process of simplifying data into a form that is easier to read and implement (Santoso, 2012). This analysis includes data processing, organizing data and finding results. The analysis technique used in this research is Structural Equation Modeling (SEM) analysis with AMOS software. Work motivation has proven to have less influence on work productivity.  Digital culture is proven to have an effect on work productivity.  Work motivation is proven to have an effect on work engagement. Digital culture is proven to influence work engagement decisions. Work motivation is proven to influence work productivity through work engagement. Digital culture is proven to have an effect on work productivity through work engagement. Work engagement is proven to have an effect on work productivity.

Keywords

Work Motivation Digital Culture Work Productivity Work Engagement

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How to Cite
Adhiguna, J., & Mahyuni. (2025). Work Motivation and Digital Culture as Determinants of Employee Productivity:: The Mediating Role of Work Engagement at PT Indodax National Indonesia. Amkop Management Accounting Review (AMAR), 6(1), 10–22. https://doi.org/10.37531/amar.v6i1.2913
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References

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