Smart city technologies from the perspective of technology acceptance

Abstract

Most studies in the literature aim to discuss and examine the technologies in smart cities. Much less is known about the dynamics of their acceptance by citizens. Therefore, we conducted a systematic literature review of studies examining the acceptance of smart city technologies (SCTs), focussing particularly on Technology User Acceptance Models (TAM). Using a novel framework of SCTs based on the technology visibility and citizen interaction, we categorise them as individual‐based explicit SCTs, collective‐purpose explicit SCTs, digitising SCTs, and infrastructure SCTs. We assess that studies about citizen acceptation of SCTs have been mainly focussed on individual technologies. Also, the review shows that the field is nascent and fragmented, and that a wide variety of variables have been used to predict the adoption of individual‐based explicit SCTs, with the classic ones of TAM (perceived use and perceived usefulness) unmistakably being relevant in the smart city context as well. As a result of the fragmentation of the field, our review was not yet able to identify generalisable knowledge about the acceptance of the smart city and its technologies by citizens. We end with some suggestions for future research approaches and designs.

Investigating smart city adoption from the citizen’s insights: empirical evidence from the Jordan context

“… Kuberkar & Singhal (2020) identified that the existence of conductive infrastructure was necessary for commuters to use a public transport chatbot within a smart city ( Costales, 2022 ). Different studies and theories discussing infrastructure regarding smart transformation and smart cities are entailed in study by Dirsehan & van Zoonen (2022) . Thus, we propose the following hypothesis:…”

Small-Town Citizens’ Technology Acceptance of Smart and Sustainable City Development

“…Attitude toward usage, as well as the direct and indirect consequences of PEU and PU, all have an impact on Behavioral Intention. PU and PEU are identified as key determinants of citizen adoption of smart city technology in the majority of studies on this topic utilizing the TAM model [64].…”

“…Indonesia and India were the nations where the most studies were conducted [64]. The few studies that have been conducted in Europe have been in Oslo and Tallinn [77], a case study combining Berlin, Dublin, London, Milan, and Madrid [76], and Luxembourg [75].…”

“…When Park et al [69] looked into Social Influence specifically, they discovered how exactly this characteristic, together with easy conditions and perceived utility, are crucial in people's intentions to use autonomous cars in SCs, and that demographic factors might instead lessen such intentions. To examine the level of adoption and acceptance of SCs technologies, however, all studies incorporate new variables from the aforementioned models, such as User Experience, Internet quality, attitude, sociodemographic factors, culture, quality services, awareness, trust, and security [64].…”

A research on data integration and application technology of urban comprehensive pipe gallery based on three‐dimensional geographic information system platform

“…Now in some new urban areas in China, more comprehensive pipe galleries are built to realise centralised and convenient management of various underground pipelines. One important goal for the comprehensive management and control of urban underground pipelines network is to realise the scientific planning, meticulous management, and comprehensive information sharing of urban underground pipelines network [1–15].…”