Assessment of the use of digital tools in public services of local government organizations Case Study : Non Sa-at Sub-district Municipality, Sriboonrueang District, Nong Bua Lam Phu Province

Abstract

          The objective of this research was to investigate the satisfaction in using the Non Sa-at Smart Officer innovation of Non Sa-at Sub-district Municipality, Sriboonruang District, Nong Bua Lamphu Province of the people in the area of ​​Non Sa-at Subdistrict Municipality classified by gender, age, education level and occupation.  The sample consisted of 388 people living in Non Sa-at sub-district. Proportion of the sample according to the proportion of people in the area as informants. A questionnaire was used as a research instrument for data collection. Data were analyzed using the statistics to determine frequency, percentage, mean, standard deviation, Independent Sample t-test and One-Way ANOVA. In case of discrepancy, pairwise discrepancies would be analyzed using Scheffe' statistics.
          The research results indicated that people were satisfied with the use of the Non Sa-at Smart Officer innovation of Non Sa-at Sub-district Municipality, Si Bun Rueang District, Nong Bua Lamphu Province in terms of E-Smart Service innovation, with an average of 83.2 percent, which was at a high level, and people's satisfaction towards the use of the Non Sa-at Smart Officer innovation of Non Sa-at Subdistrict Municipality.  Sriboonruang District,  Nong Bua Lamphu Province as a whole was at the highest level   (𝐗̅= 4.89). When considering each aspect, it was found that the aspect with the highest average was the convenience aspect (𝐗̅= 4.99); Followed by process and procedure of service (𝐗̅ = 4.87), information department (𝐗̅ = 4.87), respectively. The aspect with the lowest average was service quality (𝐗̅ = 4.86).
          Comparative analysis results of satisfaction towards the use of Non Sa-at Smart Officer innovation of Non Sa-at Subdistrict Municipality, Sriboonruang District, Nong Bua Lamphu Province of the people classified by gender, age, education level and occupation found that gender, education level and occupation had no differences with the people with different ages with a  statistical significance level of .05.