Smart City Gnosys
Smart city article details
| Title | Acceptance Of Iot-Based And Sustainability-Oriented Smart City Services: A Mixed Methods Study |
|---|---|
| ID_Doc | 5955 |
| Authors | Beştepe F.; Yildirim S.Ö. |
| Year | 2022 |
| Published | Sustainable Cities and Society, 80 |
| DOI | http://dx.doi.org/10.1016/j.scs.2022.103794 |
| Abstract | Smart cities (SC) have emerged as a hope for urbans that face challenges and sustainability issues due to rapid urbanization. SC services can make the daily routines more efficient, create more public value, and improve the urban sustainability and life quality (QoL). However, before any technology enters the market, the factors making adoption easier for the end-users should be examined. Here, we aim to examine the acceptance of IoT-based and sustainability-oriented SC services. This study proposes a SC services acceptance model (SCSAM), built over the human, technology and institution dimensions of SC. We tested SCSAM by using structural equation modeling via 640 survey-respondents. The quantitative findings were supported by qualitative analysis of 10 semi-structured interviews. Findings revealed that personal innovativeness, social influence, quality of service (QoS) and perceived trust are the significant determinants of use intention. Interestingly cost has no significant effect and demographics do not contribute much on the acceptance of smart services. This is the only study in the literature adopting both quantitative and qualitative analysis to examine SC services adoption via an acceptance model based on the SC's multidimensional structure. Our findings would help city administrators and service providers to improve urban sustainability and QoL. © 2022 |
| Author Keywords | Internet of things; Mixed methods; Quality of life; Smart city; Sustainability; Technology acceptance |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
54865  | 0.929 | Lee S. | The Acceptance Model Of Smart City Service: Focused On Seoul | Sustainability (Switzerland), 15, 3 (2023) |
| 5494 | 0.926 | Bestepe F.; Yildirim S.O. | A Systematic Review On Smart City Services And Iot-Based Technologies | Proceedings of the 12th IADIS International Conference Information Systems 2019, IS 2019 (2019) |
| 50533 | 0.916 | Dirsehan T.; van Zoonen L. | Smart City Technologies From The Perspective Of Technology Acceptance | IET Smart Cities, 4, 3 (2022) |
| 8098 | 0.912 | Hakeem M.J.; Sulphey M.M. | An Evaluation Of Factors Affecting The Acceptance Of Smart City Ict Services In India | Public Administration and Policy (2025) |
| 33392 | 0.911 | Nusir M.; Alshirah M.; Alghsoon R. | Investigating Smart City Adoption From The Citizen’S Insights: Empirical Evidence From The Jordan Context | PeerJ Computer Science, 9 (2023) |
| 49684 | 0.908 | Dahmane W.M.; Ouchani S.; Bouarfa H. | Smart Cities Services And Solutions: A Systematic Review | Data and Information Management (2024) |
| 30627 | 0.908 | Sepasgozar, SME; Hawken, S; Sargolzaei, S; Foroozanfa, M | Implementing Citizen Centric Technology In Developing Smart Cities: A Model For Predicting The Acceptance Of Urban Technologies | TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 142 (2019) |
| 50488 | 0.906 | Wirtz B.W.; Becker M.; Schmidt F.W. | Smart City Services: An Empirical Analysis Of Citizen Preferences | Public Organization Review, 22, 4 (2022) |
| 49798 | 0.903 | Gracias, JS; Parnell, GS; Specking, E; Pohl, EA; Buchanan, R | Smart Cities-A Structured Literature Review | SMART CITIES, 6, 4 (2023) |
| 37713 | 0.903 | Teng Q.; Bai X.; Apuke O.D. | Modelling The Factors That Affect The Intention To Adopt Emerging Digital Technologies For A Sustainable Smart World City | Technology in Society, 78 (2024) |