Data intelligence and analytics: A bibliometric analysis of human–Artificial intelligence in public sector decision-making effectiveness

Vaio, Assunta Di; Hassan, Rohail; Alavoine, Claude

doi:10.1016/j.techfore.2021.121201

Cited by 95 publications

(56 citation statements)

References 82 publications

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“…On top of that, the literature acknowledges that AI and digitalisation also have practical implications which could contribute to SD directly and indirectly, such as the effectiveness of policy-policy making in the public sector or even contributing to the organisational management and practices. From the public sector, for example, Di Vaio et al ( 2022 ) identified through a bibliometric analysis that the human-AI, data intelligence and analytics interface could increase decision-making performance, which will lead to SD. On the other hand, from the companies´ perspective, there is evidence that AI-related technologies and digitalisation can also play an essential role in companies’ innovation and contribute to sustainability-oriented strategies and practices (e.g.…”

Section: Artificial Intelligence and Sustainable Development Researchmentioning

confidence: 99%

Deploying digitalisation and artificial intelligence in sustainable development research

Filho

Yang

Eustachio

et al. 2022

Environ Dev Sustain

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Many industrialised countries have benefited from the advent of twenty-first century technologies, especially automation, that have fundamentally changed manufacturing and industrial production processes. The next step in the evolution of automation is the development of artificial intelligence (AI), i.e. intelligence which is demonstrated by machines and systems, which cannot only perform tasks but also work synergistically with humans and nature. Intelligent systems that can see, analyse situations and respond sensitively to real-time cues, from human gestures and facial expressions to pedestrians crossing a busy street, will reshape transportation, precision agriculture, biodiversity conservation, environmental modelling, public health, construction and manufacturing, as well as initiatives designed to promote prosperity on Earth. This paper explores the connections between AI systems and sustainable development (SD) research. By means of a literature review, world survey, and case studies, ways in which AI can support research on SD and, inter alia, contribute to a more sustainable and equitable world, are identified.

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Section: Artificial Intelligence and Sustainable Development Researchmentioning

confidence: 99%

Deploying digitalisation and artificial intelligence in sustainable development research

Filho

Yang

Eustachio

et al. 2022

Environ Dev Sustain

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“…Figure 3 demonstrated publication trends and content related to SME strategy and technological changes, and Figure 4 shows a comparison of trending publications related to the intention of application adoption by SMEs. -Artificial intelligence(AI) [46] -Virtual Reality (VR) [19] -Augmented Reality (AR) [47] -Deep/Machine learning [48] -Big data assimilation [49] -Business intelligence [38] -Internet of things (IOTs) [26,27,28] -Bibliometric network analysis [50,51] -Blockchain technology in digital era. [31] -Smart voice searching [22]  o Managerial and operational capability [55] o Customer satisfaction, engagement, and o resilience reaction [46,70] o Absorptive capability [59] o Dynamic capability [56] o Sustainability programmes [61] o Inter-relationship [62] o Building environment that engages in customers' conversation to address specific needs (satisfaction) [71]  Resilience of leaders [72] -The ability to keep a high level of energy under duress, cope with disruptive changes, and adapt.…”

Section: -3-research Analysismentioning

confidence: 99%

Factors Affecting SMEs' Intention to Adopt a Mobile Travel Application based on the Unified Theory of Acceptance and Use of Technology (UTAUT-2)

et al. 2022

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This study is part of a government research project which aims to synthesise the current evidence on the factors affecting the intention of mobile application adoption called ‘Tripper Notifier Application’ (TNA) for the hospitality and tourism industrial sector in Thailand. The focus is on small and medium enterprises (SMEs), which emphasize restaurants, hotels, and attraction sites. The present article examines various factors influencing the intention to use such applications by employing the Unified Theory of Acceptance and Use of Technology 2 (UTAUT-2) as the theoretical underpinning of this research paradigm. Using 84 selected research papers in Scopus published between 2020 and 2022, A thematic analysis incorporating a grounded theory approach to systematically generate themes was conducted, and the findings found three main themes, including business transformation capabilities (BTC), digital transformation capabilities (DTC), and personal innovativeness (PI), as an extension of UTAUT-2 as mediator and moderator variables. To this end, the study fills the research gaps and extends the UTAUT-2 framework by including an initiative of twelve inside attributes-based lines, including performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, price value, habit behavior, behavioral intention, and use behavior, together with three moderators: age, gender, and experience. Finally, the context dimensions of the UTAUT-2 extensions were mapped to highlight all the constructs of the TNA adoption framework for future research directions. The novel contribution of this study is to fill the gap with both theoretical and practical knowledge. On the theoretical level, this study constitutes constructs based on UTAUT-2 theory as a research-based setting to fill a gap in research. On the practical level, it provides insights and information about new capabilities that SME owners, managers, and practitioners should consider in order to differentiate their own capabilities. Doi: 10.28991/esj-2021-SP1-014 Full Text: PDF

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“…Di Vaio et al, 2021 analysed the literature from the viewpoints of AI, big data, and human-AI interaction. They looked at how data analytics and intelligence may help policymakers.…”

Section: Schmidt Defined "Interactive Human Centered Artificialmentioning

confidence: 99%

“…The report by Di Vaio et al emphasizes the necessity and usefulness of data intelligence and analytics utilization in government. Their seeks to research improves academic and practitioner knowledge of big data, AI, and data intelligence [62].…”

Section: Schmidt Defined "Interactive Human Centered Artificialmentioning

confidence: 99%

Human-Centered Artificial Intelligence, a review

Domfeh¹

2022

Preprint

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Data intelligence and analytics: A bibliometric analysis of human–Artificial intelligence in public sector decision-making effectiveness

Cited by 95 publications

References 82 publications

Deploying digitalisation and artificial intelligence in sustainable development research

Deploying digitalisation and artificial intelligence in sustainable development research

Factors Affecting SMEs' Intention to Adopt a Mobile Travel Application based on the Unified Theory of Acceptance and Use of Technology (UTAUT-2)

Human-Centered Artificial Intelligence, a review

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