Factors Influence Satisfaction and Continuance Intention of Chatbot Users
- DOI
- 10.2991/978-94-6463-216-3_9How to use a DOI?
- Keywords
- Chatbot; Continuance Intention; Satisfaction; SEM-PLS
- Abstract
The pandemic has led to increased penetration in the digitalization sector, one of which is online shopping. The increase in online shopping activities poses challenges for businesses serving consumers, especially customer service. In this situation, chatbots can be a solution to provide better service to consumers. Satisfaction and continuance intention of a chatbot is important variables because they relate to several desired outcomes by businesses. Information System Success (ISS) Model, Technology Acceptance Model (TAM), and Expectation-Confirmation Model (ECM) are combined. Using the SEM-PLS method on 210 respondents’ data collected concluded that satisfaction was significantly influenced by confirmation of expectations, perceived ease of use and enjoyment. Meanwhile, satisfaction, perceived enjoyment and usefulness significantly influence continuance intention. This research contributes in several ways related to the understanding of chatbot users in Indonesia and how to improve the experience based on the findings.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Hisyam Binekas AU - Prawira Fajarindra Belgiawan PY - 2023 DA - 2023/07/31 TI - Factors Influence Satisfaction and Continuance Intention of Chatbot Users BT - Proceedings of the 3rd International Conference on Business and Engineering Management (ICONBEM 2022) PB - Atlantis Press SP - 102 EP - 116 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-216-3_9 DO - 10.2991/978-94-6463-216-3_9 ID - Binekas2023 ER -