DIGITAL TRANSFORMATION CAPABILITIES OF ORGANIZATIONS IN THAILAND PERSPECTIVES OF EMPLOYEES IN INNOVATIVE ORGANIZATION IN THAILAND

Abstract

This study has the objectives to 1) study the factors and characteristics of being an innovative organization. and the digital transformation capabilities of innovative organizations in Thailand. 2) Study the perspectives of employees in innovative organizations on the digital transformation of their organizations. In this study, the researcher used quantitative research methods. The research tools used were questionnaires as a tool for collecting data. And the statistics used to analyze the data include descriptive statistics such as frequency distribution (Frequency), mean (Mean), standard deviation (SD), inferential statistics (Inferential Statistics) to test the study hypotheses, including multiple regression analysis (Multiple Regression Analysis) and analyze the results of testing hypotheses to compare differences between two or more independent populations (F-Test, One-way ANOVA). The results showed that factors and characteristics of being an innovative organization that affect the digital transformation ability of innovative organizations in Thailand include planning and design, selecting personnel appropriate to the duties. Human resource development, operations, and adaptation of technology use creating new innovations Creating transparency standardized evaluation and organizational structure and culture statistically significant at the level of .05and the study reveals that employees' perspectives on the digital transformation capabilities of innovative organizations in Thailand vary significantly based on age and tenure within the organization, with statistically significance level at 0.05. Furthermore, employees working in businesses with different registration characteristics, operational characteristics, industries, and current total staff numbers exhibit significantly different views on the digital transformation capabilities of innovative organizations in Thailand, also at the 0.05 level of statistical significance.