2022
DOI: 10.1108/dprg-06-2022-0067
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Integration of artificial intelligence of things (AIoT) in the public sector: drivers, barriers and future research agenda

Abstract: Purpose With the development of information technology (IT), governments around the globe are using state-of-the-art IT interfaces to implement the so-called 3E’s in public service delivery, that is, economy, efficiency and effectiveness. Two of these IT interfaces relate to Artificial Intelligence (AI) and Internet of Things (IoT). While AI focuses on providing a “human” garb for computing devices, thereby making them “intelligent” devices, IoT relies on interfaces between sensors and the environment to make … Show more

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Cited by 19 publications
(13 citation statements)
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“…The following tables include the facets within the five elements of the Despite the technology (AI) and its adoption being discussed in the study, people (i.e., employees -public managers, public servants, external AI experts) must be put first while discussing ICT novelties/transformations that are being introduced into public organisations. Several authors (Alshahrani et al, 2022;Campion et al, 2022;Chen et al, 2023;Criado et al, 2022;Effendi and Pribadi, 2021;Ishengoma et al, 2022;Mikalef et al, 2019;Mikalef et al, 2022;Neumann et al, 2022;Noymanee et al, 2022;Ojo et al, 2019;Peretz-Andersson et al, 2021;Plantinga, 2022;Schaefer et al, 2021;van Noordt and Misuraca, 2020a;van Noordt and Misuraca, 2020b;Wirtz and Müller, 2019) studied the enablers of successful AI adoption related to the human factor. Many of these authors stress that, first, top management's understanding and positive perception of the application and value of AI are the key enablers of AI adoption, followed by top management's support in terms of developing a strategy, providing resources, and change management activities.…”
Section: Resultsmentioning
confidence: 99%
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“…The following tables include the facets within the five elements of the Despite the technology (AI) and its adoption being discussed in the study, people (i.e., employees -public managers, public servants, external AI experts) must be put first while discussing ICT novelties/transformations that are being introduced into public organisations. Several authors (Alshahrani et al, 2022;Campion et al, 2022;Chen et al, 2023;Criado et al, 2022;Effendi and Pribadi, 2021;Ishengoma et al, 2022;Mikalef et al, 2019;Mikalef et al, 2022;Neumann et al, 2022;Noymanee et al, 2022;Ojo et al, 2019;Peretz-Andersson et al, 2021;Plantinga, 2022;Schaefer et al, 2021;van Noordt and Misuraca, 2020a;van Noordt and Misuraca, 2020b;Wirtz and Müller, 2019) studied the enablers of successful AI adoption related to the human factor. Many of these authors stress that, first, top management's understanding and positive perception of the application and value of AI are the key enablers of AI adoption, followed by top management's support in terms of developing a strategy, providing resources, and change management activities.…”
Section: Resultsmentioning
confidence: 99%
“…(2) inter-and cross-organisational alignment between project interests and expectations surrounding the data sharing; and (3) engagement within the organisational hierarchy, leading to the unification of expectations on the top and bottom levels of the organisation -Internal collaboration: data and knowledge from different departments along with a common understanding of the aims, benefits and goals of AI projects -Clarifying roles and responsibilities within the collaboration (e.g., by appointing champions) -Project-oriented measures, agile project management Alshahrani et al, 2022, Campion et al, 2022, Chen et al, 2019, Chen et al, 2023, Ishengoma et al, 2022, Mikalef et al, 2019, Mikalef et al, 2022, Plantinga, 2022, Schaefer et al, 2021, van Noordt and Misuraca, 2020a, van Noordt and Misuraca, 2020b Source: authors' elaboration.…”
Section: Resultsmentioning
confidence: 99%
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