Modelling the factors that affect the intention to adopt emerging digital technologies for a sustainable smart world city
Bibliographic Data
| ID | 11240008 |
|---|---|
| Authors | Qiuling Teng (Ningbo University), Xiaoyu Bai (0000-0002-7895-3990, Zhongnan University of Economics and Law, corresponding author), Oberiri Destiny Apuke (0000-0002-7657-4858, Taraba State University) |
| Year | 2024 |
| Volume | 78 |
| Pages | 102603 |
| Publication date | 2024-09-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Technology in Society (JOURNAL) |
| Journal identifiers | ISSN: 0160-791X • E-ISSN: 1879-3274 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.techsoc.2024.102603 |
| OpenAlex | W4399208571 |
| Language | EN |
| Citations received | 9 |
| References cited | 59 |
Affect (linguistics · Business · Economic growth · Economics · Expectancy theory · Government (linguistics · Internet privacy · Political science · Public relations · Smart city · Taxis · Transport engineering · Unified theory of acceptance and use of technology · Urbanization · Computer Science · Digital Marketing and Social Media · Engineering · Psychology · Smart Cities and Technologies · Social Psychology · Technology Adoption and User Behaviour · Marketing
Analysis of Ocean Cleanup Technologies Support Among Early Adopters in the Philippines
An Extended UTAUT Model to Explain Factors Influencing Smart City Technology Adoption
Intention to use ChatGPT among law educators in Saudi Arabia
Technology–user–environment framework for assessing smart city technology adoption
Enhancing sustainable development in Chinese cities
Adverse impacts of metaverse-induced cognitive biases on the immersive shopping experience
The role of artificial intelligence in smart city systems usage
Exploring the predictors of public acceptance of artificial intelligence-based resurrection technologies
What Drives Older Adults to Embrace Smart Courier Lockers? A Study on Technology Acceptance and Information Literacy
Statistical Power Analysis for the Behavioral Sciences
A Smart City Initiative
Implementing citizen centric technology in developing smart cities
Mirror, mirror on the wall
Personal Computing
Factors influencing autonomous vehicle adoption
Assessing IT Usage
Managing Citizens’ Uncertainty in E-Government Services
Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT)
Extrinsic and Intrinsic Motivation to Use Computers in the Workplace 1
Understanding the effects of gratifications on the continuance intention to use WeChat in China
Antecedents of trust and continuance intention in mobile payment platforms
The theory of planned behavior
User Acceptance of Information Technology
Consumer Acceptance and Use of Information Technology
A new criterion for assessing discriminant validity in variance-based structural equation modeling
Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
Disinformation Sharing Thrives with Fear of Missing Out among Low Cognitive News Users
Modifying UTAUT2 for a cross-country comparison of telemedicine adoption
Security and privacy challenges in smart cities
Determinants of citizen-generated data in a smart city
The effects of successful ICT-based smart city services
E-Government adoption model based on theory of planned behavior
Toward integrated smart city
What are the key factors affecting smart city transformation readiness? Evidence from Australian cities
Analyzing the factors that influence the seeking and sharing of information on the smart city digital platform
Smart energy technology
Aggravating or alleviating? Smart city construction and urban inequality in China
Predicting residents' adoption intention for smart waste classification and collection system
A living lab to develop smart home services for the residential welfare of older adults
How can generative AI help in different parts of research? An experiment study on smart cities’ definitions and characteristics
Technology acceptance among micro-entrepreneurs in marginalized social strata
A Bayesian analysis of attribution processes
| Unique citing works | 9 |
|---|---|
| Citations per year | 4,5 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 8 |