Attitudes towards Robotic Process Automation

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Namtip Wongsomboon
Sutep Tongngam


Attitudes towards Robotic Process Automation Objectives: 1.)To study attitudes towards work process automation (RPA) 2.) To study the structural equation model of factors affecting attitudes towards work processes automation 3.) To study the influence of adaptation pathways, self-esteem and operational efficiency on competitive advantage and attitudes towards automated work processes.

            The research methodology was survey research using quantitative research method, using descriptive research methodology and using questionnaires as a tool for collecting data. The sample group was Personnel who know how to use automated processes, a total of 300 samples. Test the reliability of the tool. Based on the concept of Cronbach Alpha, the instrument reliability test result was 0.975 and the content conformity index (IOC) test result was 0.938. Statistics in the data analysis using descriptive statistics. Frequency distribution of data with arithmetic mean percentage frequency. Standard deviation, range value, minimum value, maximum value, variance, skew, kurtosis, and coefficient of variance (CV). Inferential statistical analysis was performed using statistical analysis consisting of confirmatory component analysis (CFA) and structural equation analysis. (SEM) Statistical data processing from ready-made computer programs.

            Analysis of the structural equation model of attitude towards automated work processes. The model was harmonious with the empirical data (Chi – Square =99.640, df = 91.0, Sig. 0.251 > 0.05, CMIN/df. 1.099 < 2.0, CFI 0.998, GFI 0.966, AGFI 0.929, RMSEA 0.018, NFI 0.980, IFI. 0.998, RMR 0.011) The results showed that the factors influencing the attitude towards automated work processes were the highest in terms of competitive advantage, followed by operational characteristics. self-esteem adjustment and the efficiency of the automated work process, respectively, and the factors that influence the efficiency of the automation of the highest Performance characteristics, followed by self-esteem adjustment and competitive advantages The factors influencing the competitive advantage were highest in terms of performance characteristics, followed by self-esteem. and adaptation In addition, self-esteem influenced performance characteristics. and adaptation Influence on performance characteristics statistically significant.

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