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Item type:Publication, Enhancing Chatbot Service User Satisfaction(2025-01-01) ;Promsiri, Triyuth ;Wuittipappinyo, NaruemolKeerativutisest, VasuChatbots play an essential role in enhancing automated customer support experiences, with the global chatbot market estimated to reach $142 billion in 2024. Despite this growth, limited research addresses the factors influencing user satisfaction with chatbot services. Drawing from the literature on service and information quality, this study investigates how these factors impact chatbot service user satisfaction (CSUS). It hypothesizes that service quality (SQ) and information quality (IQ) are significant predictors of CSUS and that demographic variables like age may influence satisfaction levels. A survey of 385 Thai chatbot users were surveyed concerning their online service opinions, from which the data were analyzed using ANOVA and multiple regression. Results confirmed that both SQ and IQ significantly enhance CSUS. Additionally, age was a significant factor, with younger users (21-30 years) reporting higher satisfaction than older groups. These findings highlight the importance of delivering timely, accurate, and reliable information while ensuring visually appealing and user-friendly chatbot designs. The study underscores the need for businesses to adapt chatbot communication strategies to demographic preferences and to prioritize continuous updates and personalization. Future research should explore other potential influences, such as chatbot personality traits, perceived benefits, and cultural variations. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Sustaining Thai Government Agency Innovation through Design Thinking Learning Effectiveness(2022-06-01) ;Promsiri, Triyuth ;Sukavejworakit, Krisakorn ;Keerativutisest, Vasu ;Virasa, ThanapholKampanthong, KrischananThailand’s 4.0 strategy intends to achieve prosperity, security, and sustainability for its citizens both today and in the distant future. By focusing on the public sector and its civil servants, the government is driving innovation in the public sector by using design thinking (DT) to train government officials to improve public sector innovation (PSI). However, despite studies being conducted on DT and its increasing popularity among scholars, there is still a gap between knowledge and practice with regard to the learning effectiveness of the DT methodology in terms of fostering public sector innovation. Therefore, the authors’ objective for this study was to explore the effectiveness of DT in the Thai PSI and measure the learning effectiveness of the design thinking method (DTM). The researchers conducted action research through a series of workshops and in-class activities involving both qualitative and quantitative approaches. The sample was made up of government officials participating in the Thai Government Innovation Lab (GIL) project in 2020 and 2021. The results on the effectiveness of the program showed that fostering government innovation through DT education led to highly sustainable and highly effective outcomes. This study contributes to the development of public innovation by implementing the DTM as a core methodology for fostering innovation in public organizations.
