The innovation of the internet: a semantic network analysis of the Internet of Things

Kim, Jang Hyun; Yoo, Minju; Lee, Kang Nyeon; Seo, Hogeun

doi:10.1080/19761597.2017.1302549

Cited by 13 publications

(9 citation statements)

References 22 publications

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“…The results also provide impressive support for the development of the IoT-PVM value loop based on the idea of a quality value loyalty chain (Parasuraman & Grewal, 2000). In terms of the digital society concept, our work strengthens the previous findings of (Dufva & Dufva, 2019;Kim et al, 2017a) that the significance of IoT in public services explores a more dynamic viewpoint to empower citizens' to engage in a digital society. Ensuring privacy for building public trust (Wirtz et al, 2019) is closely connected with creating public value and therefore essential requirement for adopting IoT services in the public sector.…”

Section: Theoretical Contributionssupporting

confidence: 82%

“…Internet of Things (IoT) is a ubiquitous network of interconnecting objects that can not only produce information from the environment (sensing) and but can also use prevailing internet standards to provide services along with the interaction to the physical world (Kim et al, 2017a). IoT interaction can be developed between people to people, people to Figure 1.…”

Section: Iot Service Orchestration In Public Servicesmentioning

confidence: 99%

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Does IoT service orchestration in public services enrich the citizens’ perceived value of digital society?

Chohan

Liu

2020

Asian Journal of Technology Innovation

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The continuous growth of digital transformation aims to leverage the changes and opportunities for IoT technologies in public sector, which has created an impact on the sustainability of digital societies. The Internet of Things (IoT) contains significant challenges such as citizens' perceived value towards intention to use in public services that could stand in a way of realizing its potential benefits. Our study aims to investigate the influencing factors of citizens' usage intention concerning IoT service orchestration in public services along with the mediation influence of perceived value. A comprehensive public IoT Perceived Value Model (IoT-PVM) was enumerated to provide success factors for IoT service orchestration. This model was analytically tested by PLS-SEM approach. The results highlighted that perceived value has a mediation effect in IoT public service intentions to use with 59% perceived variance. The success of government IoT services is best measured by the perceptions of citizens, therefore, this study contributed to identifying the factors concerning public engagement with IoT service orchestration along with describing the positive role of digital society affinity. In terms of practical significance, a use case IoT model was presented with provides an intersectional perspective of citizens concerning IoT service orchestration in public services.

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Section: Theoretical Contributionssupporting

confidence: 82%

Section: Iot Service Orchestration In Public Servicesmentioning

confidence: 99%

Does IoT service orchestration in public services enrich the citizens’ perceived value of digital society?

Chohan

Liu

2020

Asian Journal of Technology Innovation

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“…The DOI theory is useful to unravel the progress of technology adoption within IoT field. For example, previous research has found that IoT has arrived at the implementation stage and IoT technology adoption is occurring at the level of the whole society rather than that of individual units [2]. The implication for the evolution of IoT is that its test and evaluation can now be integrated on a wider scope (LSP) than before, with its real-life end-users rather than just test users.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

“…One of these ambitious investments is the IoT European Large-Scale Pilots (LSPs) program that is aimed to foster the deployment and evolution of IoT solutions with a total funding budget of €100M. This means that IoT technologies are steadily progressing and has reached a stage where IoT is mature enough for the development, testing and integration activities on a societal level [2] such as an LSP.…”

Section: Introductionmentioning

confidence: 99%

Adoption Barriers of IoT in Large Scale Pilots

et al. 2019

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The pervasive connectivity of devices enabled by Internet of Things (IoT) technologies is leading the way in various innovative services and applications. This increasing connectivity comes with its own complexity. Thus, large scale pilots (LSPs) are designed to develop, test and use IoT innovations in various domains in conditions very similar to their operational scalable setting. One of the key challenges facing the diffusion of such innovations within the course of an LSP is understanding the conditions in which their respective users decide to adopt them (or not). Accordingly, in this study we explore IoT adoption barriers in four LSPs in Europe from the following domains: smart cities, autonomous driving, wearables and smart agriculture and farming. By applying Roger's Diffusion of Innovation as a theoretical lens and using empirical data from workshops and expert interviews, we identify a set of common and domain specific adoption barriers. Our results reveal that trust, cost, perceived value, privacy and security are common concerns, yet shape differently across domains. In order to overcome various barriers, the relative advantage or value of using the innovation needs to be clearly communicated and related to the users' situational use; while this value can be economic in some domains, it is more hedonic in others. LSPs were particularly challenged in applying established strategies to overcome some of those barriers (e.g., co-creation with end-users) due to the immaturity of the technology as well as the scale of pilots. Accordingly, we reflect on the theoretical choice in the discussion as well as the implications of this study on research and practice. We conclude with providing practical recommendations to LSPs and avenues for future research.

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“…Graphical knowledge representations have gained attention by researchers after Margareth Masterman introduced Semantic Network in 1961 [32]. Semantic Network are implemented in many research areas like Brain and Cognition [33,34,35], Health Care [36,37], Education [38,39], Communication [40], Computer Science [39,41,42], etc. Other graphical knowledge representations are: Association Diagram introduced by Rakesh Agrawal [43,44], Conceptual Graph introduced by John F. Sowa [45], Tree Diagram, and Bayesian Networks.…”

Section: Knowledge Representationmentioning

confidence: 99%

Ontology Enrichment for Multi-Domain Knowledge and Expertise Representation

Achsan¹,

Suhartanto²,

Wibowo³

2017

DAAAM Proceedings

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Expertise is specialized skills and knowledge. It can be shared or disseminated if stated explicitly using expertise representation. Since people have multi area/domain expertise, we need multi-domain expertise representation. Someone's expertise can be recognized by his/her publication. In this article we proposed a new expertise representation by utilizing bibliography (publication metadata) and annotating ontology (ontology enrichment). The expertise representation is multi-domain that can be integrated semantically as easy as single-domain ontology.

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The innovation of the internet: a semantic network analysis of the Internet of Things

Cited by 13 publications

References 22 publications

Does IoT service orchestration in public services enrich the citizens’ perceived value of digital society?

Does IoT service orchestration in public services enrich the citizens’ perceived value of digital society?

Adoption Barriers of IoT in Large Scale Pilots

Ontology Enrichment for Multi-Domain Knowledge and Expertise Representation

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