Using an extended technology acceptance model to predict enterprise architecture adoption in making cities smarter

Anthony, Bokolo; Petersen, Sobah Abbas

doi:10.1007/s10669-022-09867-x

Cited by 6 publications

(2 citation statements)

References 54 publications

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“…According to Hovik and Giannoumis [79], the adoption and use of geospatial technology depend on several factors for both the municipality and the citizens. Factors that determine a municipality's consideration to adopt a technology depend on the resources of that municipality and on the size, complexity, and dynamic nature of the municipality's social, economic, physical, and political conditions [79,80]. Additionally, some administrative cultures are more open to citizen participation than others are, and as such, they are more willing to adopt technologies to enhance the participation of their citizens in planning interventions and those citizens' influence on those interventions [79].…”

Section: Discussionmentioning

confidence: 99%

Digital Twin for Active Stakeholder Participation in Land-Use Planning

Adade

Vries

2023

Land

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The active participation of stakeholders is a crucial requirement for effective land-use planning (LUP). Involving stakeholders in LUP is a way of redistributing the decision-making power and ensuring social justice in land-management interventions. However, owing to the growing intricacy of sociopolitical and economic relations and the increasing number of competing claims on land, the choice of dynamic land use has become more complex, and the need to find balances between social, economic, and environmental claims and interests has become less urgent. These facts reflect a paradigm shift from top-down, noninteractive, and one-directional policymaking approaches to a more negotiable, bottom-up, deliberative, and responsible one. Geospatial industries claim that digital twin technology is a potential facilitator that improves the degree of stakeholder participation and influences land-use planning. The validity of this claim is, however, unknown. By adopting the integrative literature review, this study identifies where in LUP is stakeholder participation much needed and currently problematic, as well as how digital twin could potentially improve. The review shows that digital twins provide virtual visualisation opportunities for the identification of land-use problems and the assessment of the impacts of the proposed land uses. These offer the opportunity to improve stakeholder influence and collaboration in LUP, especially in the agenda-setting phase, where land-use issues could be identified and placed on the LUP agenda. This relies on the ability and willingness of local planning institutions to adopt digital twins, and stakeholders’ perception and willingness to use digital twins for various land-use goals. Despite the assertion that digital twins could improve the influence of stakeholders in LUP, the focus and the development of digital twins have not accomplished much for those features of the technology that could improve stakeholder influence in LUP. By adopting the principles of the social construction of technology, this study proposes a “technological fix” of digital twins to focus more on improving stakeholder influence on land-use planning.

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Section: Discussionmentioning

confidence: 99%

Digital Twin for Active Stakeholder Participation in Land-Use Planning

Adade

Vries

2023

Land

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“…However, this research was focusing on five variables namely Actual System Use (AU), Perceived Ease of Use (PEOU), Attitude Toward Using (ATU), Behavioral Intention to Use (BIU), and Perceived Usefulness (PU). Furthermore, one way to measure the successful implementation of smart cities is using the technology acceptance model approach (TAM) which has also been widely implemented in many previous studies (Alnemer, 2022;Dirgantari et al, 2020;Jnr & Petersen, 2022;Kabir et al, 2022;Kurdi et al, 2020;Oliveira & Santos, 2019;Rodzi et al, 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis and Identification of Non-Impact Factors on Smart City Readiness Using Technology Acceptance Analysis: A Case Study in Kampar District, Indonesia

Anam,

Yunianta,

Alyamani

et al. 2023

JAETS

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Most countries start to implement Smart Cities as an innovation for urban strategy. However, not all Smart Cities implementations worked and were implemented well, because the community still not ready for the implementation of Smart City. The aim of this research is to investigate community readiness and finding low impact factors for implementing smart cities based on 5 factors, namely AU, PEOU, ATU, BIU, and PU. This research was using a qualitative study with the Technology Acceptance Model approach (TAM) to investigate the relationship between 5 factors. Based on the results of data distribution, there are 2 clusters, namely people who know about public service applications and people who are not aware of any public service applications. Furthermore, there are 3 tests conducted in this research namely T-test, F-test and Coefficient Determination Test to determine the impact and influence of the relationship between each factor. However, from the results of the t-test it was found that there were 2 relationships that had no impact because the t-count was negative and the 2 relationships between these factors were between PU - AU and AU - PU.

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Decentralized brokered enabled ecosystem for data marketplace in smart cities towards a data sharing economy

Anthony

2023

Environ Syst Decis

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Presently data are indispensably important as cities consider data as a commodity which can be traded to earn revenues. In urban environment, data generated from internet of things devices, smart meters, smart sensors, etc. can provide a new source of income for citizens and enterprises who are data owners. These data can be traded as digital assets. To support such trading digital data marketplaces have emerged. Data marketplaces promote a data sharing economy which is crucial for provision of available data useful for cities which aims to develop data driven services. But currently existing data marketplaces are mostly inadequate due to several issues such as security, efficiency, and adherence to privacy regulations. Likewise, there is no consolidated understanding of how to achieve trust and fairness among data owners and data sellers when trading data. Therefore, this study presents the design of an ecosystem which comprises of a distributed ledger technology data marketplace enabled by message queueing telemetry transport (MQTT) to facilitate trust and fairness among data owners and data sellers. The designed ecosystem for data marketplaces is powered by IOTA technology and MQTT broker to support the trading of sdata sources by automating trade agreements, negotiations and payment settlement between data producers/sellers and data consumers/buyers. Overall, findings from this article discuss the issues associated in developing a decentralized data marketplace for smart cities suggesting recommendations to enhance the deployment of decentralized and distributed data marketplaces.

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Using an extended technology acceptance model to predict enterprise architecture adoption in making cities smarter

Cited by 6 publications

References 54 publications

Digital Twin for Active Stakeholder Participation in Land-Use Planning

Digital Twin for Active Stakeholder Participation in Land-Use Planning

Analysis and Identification of Non-Impact Factors on Smart City Readiness Using Technology Acceptance Analysis: A Case Study in Kampar District, Indonesia

Decentralized brokered enabled ecosystem for data marketplace in smart cities towards a data sharing economy

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