Smart City Gnosys
Smart city article details
| Title | Modeling Factors Influencing Individual'S Adoption Of Intelligence Healthcare Services In Smart Cities |
|---|---|
| ID_Doc | 37540 |
| Authors | Alzawamri A.A.; Kasim H.; Mahmoud M. |
| Year | 2022 |
| Published | Journal of System and Management Sciences, 12, 5 |
| DOI | http://dx.doi.org/10.33168/JSMS.2022.0519 |
| Abstract | Experience across the globe has proven how interdependent we are as people and how the community’s well-being and health shape our individual well-being and health. A growing number of countries are creating smart communities and cities with the primary aim of improving the quality of life of people by integrating a huge amount of health data. In terms of health service deliveries, a city is considered smart only when people enjoy smart healthcare deliveries implemented purposefully to improve quality of life. However, the success of smart city healthcare deliveries depends on the staff and patients’ acceptance and usage. Unfortunately, there has been little to no study on factors influencing end-users adoption of smart city healthcare services from Omani perspectives. This paper fills the gaps by examining the variables that affect people's perceptions of information privacy and the adoption of smart city services in Oman's Diwan of Royal Courte. In addition, Three hundred and forty-one questionnaires were administered among government employees who had completed the digital foundations for public services program. For empirical analysis, Structural Equation Modeling (SEM) approach was used. The findings show that perceived security, perceived usefulness, perceived ease of use, social influence, trust, privacy risk, information sensitivity, cultural norm, privacy awareness, and privacy concern are significant factors affecting an individual's intentions to adopt and actual adoption of health care services in smart cities in Oman. The results further prove that privacy concerns moderate the intention and adoption of intelligence healthcare services in Oman's smart cities. Finally, this study advises stakeholders like the government and health workers' managers to establish better privacy measures to protect people's health information, provide secured health data to meet consumers' requirements, and provide adequate techniques when confidentiality is breached for online health care services to be adopted successfully in Oman. © 2022, Success Culture Press. All rights reserved. |
| Author Keywords | healthcare services; intelligence; PCT; privacy; privacy concern; SEM; smart city; TAM; UTAUT |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
37713  | 0.888 | 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) |
| 59358 | 0.886 | Corsi A.; Florencio de Souza F.; Pagani R.N.; Kovaleski J.L. | Ultimate Approach And Technologies In Smart Healthcare: A Broad Systematic Review Focused On Citizens | Smart Health, 26 (2022) |
| 33392 | 0.88 | 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) |
| 6443 | 0.879 | Kuberkar S.; Singh S.; Singhal T.K. | Adoption Intention Of Artificial Intelligence Enabled Smart City Services From Citizens’ Perspective | International Journal of Human Capital in Urban Management, 9, 1 (2024) |
| 26070 | 0.876 | Habib, A; Alsmadi, D; Prybutok, VR | Factors That Determine Residents' Acceptance Of Smart City Technologies | BEHAVIOUR & INFORMATION TECHNOLOGY, 39, 6 (2020) |
| 25805 | 0.875 | Alkdour T.; Almaiah M.A.; Shishakly R.; Lutfi A.; Alrawad M. | Exploring The Success Factors Of Smart City Adoption Via Structural Equation Modeling | Sustainability (Switzerland), 15, 22 (2023) |
| 26072 | 0.872 | Wang H.-J. | Factors That Influence Adoption Intentions Toward Smart City Services Among Users | Information Technology and Management (2024) |
| 5955 | 0.871 | Beştepe F.; Yildirim S.Ö. | Acceptance Of Iot-Based And Sustainability-Oriented Smart City Services: A Mixed Methods Study | Sustainable Cities and Society, 80 (2022) |
| 56494 | 0.871 | Ferreira dos Santos J.P.; de Matos C.A.; Groznik A. | The Role Of Artificial Intelligence In Smart City Systems Usage: Drivers, Barriers, And Behavioural Outcomes | Technology in Society, 81 (2025) |
| 8098 | 0.87 | 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) |