FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2892473444> ?p ?o ?g. }

• W2892473444 endingPage "116" @default.
• W2892473444 startingPage "105" @default.
• W2892473444 abstract "Abstract Local urban identity, culture and knowledge ecosystems continue to shape innovative capacity and technological acceptance despite global exchange in talent, trade and technology. This has important implications for the development and implementation of future smart cities. The last two decades of smart city research has presented smart cities as a generic, universal aspiration without taking into consideration such local cultural differences. Future smart cities have several tasks ahead of them. The first is selecting culturally appropriate technologies from the vast array of global technologies now on offer. The second task is adapting such technology and the third task is in managing the acceptance of such technology. The above process is not linear but must be iterative, with technology acceptance considered simultaneously alongside the selection and adoption of such technologies. This study integrates the substantial literature on Technology Acceptance Modelling into the smart city discourse to begin to address this need. It also further develops our understanding of technology acceptance using the Structural Equation Modelling Method. A new synthetic model is proposed consisting of twelve factors, which have been selected based on a targeted literature review. A survey-based method was used to develop and cross-validate the model sampling a diverse population from various Iranian cities. The result of the above process is a new model named the Urban Services Technology Acceptance Model (USTAM). The validated model includes key factors related to technology such as Self-Efficacy, Operation, Work Facilitation, Relative Advantage and Compatibility. The USTAM is a useful tool for the prediction of technology acceptance in the implementation of smart cities. The final model is significant for various reasons. Firstly, it is significant for ensuring that selected technology is appropriate to local cultural contexts. Secondly it is significant to ensure that integration of technologies at metropolitan scales is managed effectively. The final significant reason is that it is well-suited to helping developing economies participate in the smart city boom in a resource efficient manner. The proposed model can potentially help cities achieve this by guiding them in the selection of appropriate technologies. The proposed model is developed with specific reference to Iran and Bangladesh. The authors suggest that the model is useful for cities of different cultural identities and characteristics, who wish to initiate their own distinctive smart city strategies." @default.
• W2892473444 created "2018-10-05" @default.
• W2892473444 creator A5044701179 @default.
• W2892473444 creator A5045807070 @default.
• W2892473444 creator A5065119769 @default.
• W2892473444 creator A5078855263 @default.
• W2892473444 date "2019-05-01" @default.
• W2892473444 modified "2023-09-30" @default.
• W2892473444 title "Implementing citizen centric technology in developing smart cities: A model for predicting the acceptance of urban technologies" @default.
• W2892473444 cites W1133530935 @default.
• W2892473444 cites W1514587974 @default.
• W2892473444 cites W1551176692 @default.
• W2892473444 cites W1591013228 @default.
• W2892473444 cites W1602456109 @default.
• W2892473444 cites W1636106805 @default.
• W2892473444 cites W1965410815 @default.
• W2892473444 cites W1965446137 @default.
• W2892473444 cites W1973552807 @default.
• W2892473444 cites W1981018178 @default.
• W2892473444 cites W1984297968 @default.
• W2892473444 cites W1996025446 @default.
• W2892473444 cites W1997045087 @default.
• W2892473444 cites W2004376501 @default.
• W2892473444 cites W2025796836 @default.
• W2892473444 cites W2029880576 @default.
• W2892473444 cites W2031284044 @default.
• W2892473444 cites W2031879208 @default.
• W2892473444 cites W2033943395 @default.
• W2892473444 cites W2055077282 @default.
• W2892473444 cites W2061734925 @default.
• W2892473444 cites W2062723458 @default.
• W2892473444 cites W2065502371 @default.
• W2892473444 cites W2078518420 @default.
• W2892473444 cites W2083775351 @default.
• W2892473444 cites W2087694268 @default.
• W2892473444 cites W2094025128 @default.
• W2892473444 cites W2095455665 @default.
• W2892473444 cites W2098440369 @default.
• W2892473444 cites W2099697766 @default.
• W2892473444 cites W2100379340 @default.
• W2892473444 cites W2100408980 @default.
• W2892473444 cites W2105103777 @default.
• W2892473444 cites W2116305749 @default.
• W2892473444 cites W2130006747 @default.
• W2892473444 cites W2133115696 @default.
• W2892473444 cites W2135617001 @default.
• W2892473444 cites W2146272101 @default.
• W2892473444 cites W2146812743 @default.
• W2892473444 cites W2153403719 @default.
• W2892473444 cites W2157746916 @default.
• W2892473444 cites W2159306398 @default.
• W2892473444 cites W2162201158 @default.
• W2892473444 cites W2163020995 @default.
• W2892473444 cites W2168569455 @default.
• W2892473444 cites W2172049380 @default.
• W2892473444 cites W2214140435 @default.
• W2892473444 cites W2251267908 @default.
• W2892473444 cites W2274492750 @default.
• W2892473444 cites W2275673106 @default.
• W2892473444 cites W2283506412 @default.
• W2892473444 cites W2292929445 @default.
• W2892473444 cites W2293495060 @default.
• W2892473444 cites W2331214562 @default.
• W2892473444 cites W2345814641 @default.
• W2892473444 cites W2360849037 @default.
• W2892473444 cites W2413961680 @default.
• W2892473444 cites W2462669555 @default.
• W2892473444 cites W2490107957 @default.
• W2892473444 cites W2496368980 @default.
• W2892473444 cites W2578414083 @default.
• W2892473444 cites W2590496230 @default.
• W2892473444 cites W2594098186 @default.
• W2892473444 cites W2600942248 @default.
• W2892473444 cites W2604894787 @default.
• W2892473444 cites W2610387551 @default.
• W2892473444 cites W2729906010 @default.
• W2892473444 cites W2738721109 @default.
• W2892473444 cites W2757551982 @default.
• W2892473444 cites W2762267553 @default.
• W2892473444 cites W2765459390 @default.
• W2892473444 cites W2777909793 @default.
• W2892473444 cites W2778228283 @default.
• W2892473444 cites W2789677065 @default.
• W2892473444 cites W2799580819 @default.
• W2892473444 cites W2800778217 @default.
• W2892473444 cites W2999375953 @default.
• W2892473444 cites W3044291841 @default.
• W2892473444 cites W4235678817 @default.
• W2892473444 doi "https://doi.org/10.1016/j.techfore.2018.09.012" @default.
• W2892473444 hasPublicationYear "2019" @default.
• W2892473444 type Work @default.
• W2892473444 sameAs 2892473444 @default.
• W2892473444 citedByCount "156" @default.
• W2892473444 countsByYear W28924734442019 @default.
• W2892473444 countsByYear W28924734442020 @default.
• W2892473444 countsByYear W28924734442021 @default.
• W2892473444 countsByYear W28924734442022 @default.
• W2892473444 countsByYear W28924734442023 @default.

• next