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Title Assessing Factors Influencing Citizens' Behavioral Intention towards Smart City Living
ID_Doc 45249
Authors Wirsbinna, A; Grega, L; Juenger, M
Title Assessing Factors Influencing Citizens' Behavioral Intention towards Smart City Living
Year 2023
Published Smart Cities, 6, 6
DOI 10.3390/smartcities6060138
Abstract The adoption and results achieved by "smart city" projects heavily rely on citizens' acceptance and behavioral intention to embrace smart city living. Understanding the factors influencing citizens' behavioral intention towards smart city living is crucial for the effective development and rollout of smart city initiatives. This research paper aims to assess the factors influencing citizens' behavioral intention towards smart city living using quantitative research methods. Through a comprehensive literature review, an ideation structure was developed, integrating theoretical perspectives from the Technology Acceptance Model (TAM). The structure encompasses key variables such as perceived utility, convenience of use, engagement, trialability, observability, interoperability, willingness, and propensity to embrace smart city lifestyles. A quantitative methodological stance was employed to gather information from a statistically significant subset of citizens residing in urban areas in developed countries. A structured questionnaire, based on the theoretical framework, was formulated and distributed to the participants. Statistical analysis techniques, including structural equation modeling, were used for investigating connections between identified factors and citizens' behavioral intention towards smart city living. Preliminary findings indicate that behavioral intention towards smart city living strongly depends on attitude and perceived usefulness. By addressing these factors, smart cities can foster greater citizen engagement, participation, and ultimately, the successful realization of smart city living.
Author Keywords intention; behavior; Technology Acceptance Model (TAM); urban; techniques; engagement; smart city
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Emerging Sources Citation Index (ESCI)
EID WOS:001130822600001
WoS Category Engineering, Electrical & Electronic; Urban Studies
Research Area Engineering; Urban Studies
PDF https://www.mdpi.com/2624-6511/6/6/138/pdf?version=1700124308
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