From Skepticism to Acceptance: Trust and Behavior in Smart City Adoption
A smart city leverages technology and data to enhance the quality of life for its residents, improve urban services, and optimize resource management. By employing ICT infrastructure, IoT devices, and big data, smart cities tackle challenges such as traffic congestion, energy management, and public safety. This study aims to understand the factors influencing smart city technology adoption intentions in developing countries like Indonesia. Using the extended Technology Acceptance Model (ETAM), the research conceptualizes smart city adoption intention. Data was gathered from 171 individual respondents from various cities in Indonesia through purposive sampling techniques. The analysis was conducted using the PLS-SEM approach. The findings indicate that perceived usefulness and perceived ease of use are significantly associated with the attitude to adopt smart city living. Additionally, perceived usefulness, and perceived information security have significant associations with trust. Both Attitude to adopt smart city living and trust are significantly associated with the behavioral intention to adopt smart city technology. These findings are invaluable for stakeholders involved in the development, planning, and implementation of smart cities, helping to increase the popularity of smart city adoption among citizens in developing countries. Furthermore, the results provide future researchers with insights and references for further studies on smart cities.
Authors
- Erwin Halim (ORCID: https://orcid.org/0000-0003-0714-1108)
- Dedy Syamsuar (ORCID: https://orcid.org/0000-0002-2374-9546)
- Anderes Gui (ORCID: https://orcid.org/0000-0002-1036-2609)
- Daniel Kartawiguna (ORCID: https://orcid.org/0009-0006-6850-8726)
- Siti Rohaida Mohamed Zainal (ORCID: https://orcid.org/0000-0002-5580-2268)
- Yosefin Aprilia
Institutions
- Universiti Sains Malaysia (MY)
- Binus University (ID)
Publication Details
- Published
- 2024-08-08
- DOI
- https://doi.org/10.1109/ri2c64012.2024.10784334
- Primary Topic
- Smart Cities and Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00