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این مقاله علمی پژوهشی (ISI) به زبان انگلیسی از نشریه الزویر مربوط به سال ۲۰۲۲ دارای ۱۷ صفحه انگلیسی با فرمت PDF می باشد در ادامه این صفحه لینک دانلود رایگان مقاله انگلیسی و بخشی از ترجمه فارسی مقاله موجود می باشد.
کد محصول: M1240
سال نشر: ۲۰۲۲
نام ناشر (پایگاه داده): الزویر
نام مجله: Technological Forecasting & Social Change
نوع مقاله: علمی پژوهشی (Research articles)
تعداد صفحه انگلیسی: ۱۷ صفحه PDF
عنوان کامل فارسی:
مقاله انگلیسی ۲۰۲۲ : آنالیز و هوش داده: آنالیز کتاب سنجی هوش مصنوعی- انسانی در اثربخشی تصمیم گیری بخش دولتی
عنوان کامل انگلیسی:
Data intelligence and analytics: A bibliometric analysis of human–Artificial intelligence in public sector decision-making effectiveness
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Abstract
This study investigates the literary corpus of the role and potential of data intelligence and analytics through the lenses of artificial intelligence (AI), big data, and the human–AI interface to improve overall decision-making processes. It investigates how data intelligence and analytics improve decision-making processes in the public sector. A bibliometric analysis of a database containing 161 English-language articles published between 2017 and 2021 is performed, providing a map of the knowledge produced and disseminated in previous studies. It provides insights into key topics, citation patterns, publication activities, the status of collaborations between contributors over past studies, aggregated data intelligence, and analytics research contributions. The study provides a retrospective review of published content in the field of data intelligence and analytics. The findings indicate that field research has been concentrated mainly on emerging technologies’ intelligence capabilities rather than on human–artificial intelligence in decision-making performance in the public sector. This study extends an ambidexterity theory in decision support, which enlightens how this ambidexterity can be encouraged and how it affects decision outcomes. The study emphasises the importance of the public sector adoption of data intelligence and analytics, as well as its efficiency. Furthermore, this study expands how researchers and practitioners interpret and understand data intelligence and analytics, AI, and big data for effective public sector decision-making.
Keywords: Ambidexterity, Industry 4.0, Business intelligence, Big data , Intellectual capital, Human intellect, Accountability and performance
۱.Introduction
Technological breakthroughs have ushered in a new era for companies and governments over the last two decades (Amankwah-Amoah, 2017; You et al., 2019; Grover et al., 2020). Since 2011, the emergence of the Industry 4.0 paradigm has opened a new stage, defined as “The Fourth Industrial Revolution,” which leads to the digitisation of all industrial processes and the convergence and interconnection between the different aspects of manufacturing in various departments and functions (Rieple et al., 2012; Gursoy et al., 2019). Automation and robotics replace repetitive work, as illustrated in the Industry 4.0 Global Report (WEF, 2017), while new digital technologies facilitate deeper interaction, especially across distances, between employees and companies. Cloud services, mobile applications, and real-time dashboards help to reinforce this global outlook by improving employee accountability, monitoring, networking, and business (Caputo et al., 2019b). New technologies, such as the cloud, artificial intelligence (AI), blockchain, and virtual reality, form a complex sense of the modern approach to living. The real change is continuously rapid, disruptive, and persistent (Carayannis and Meissner, 2017; Scuotto et al., 2016; Pillai et al., 2021). More precisely, big data (BD) can help organisations to recognise decision-making process opportunities and define more successful organisational processes via data collection, filtering, and coding (Caputo et al., 2019a)…
۶.Concluding remarks
The exponential increase in DI&A, BD, AI, and HAI in the public sector decision-making literature prompted this study. Theory-based research on the role of DI&A, BD, AI, and HAI in government-level decision- making is still missing, despite both practitioners’ and scholars’ involvement. The study reveals the importance of understanding how DI&A improves the decision-making processes using BD in the public sector. There is an urge to change the focus of research on DI&A, AI, and BD towards new models of its representation, including HAI capacities (explicit or not), social capital, relationships with other skills, stakeholders, innovation embedded in people, and the workforce within organisations that can translate information into creativity. The research highlights the potential gaps in the subject matter literature. This study is the first to perform a bibliometric overview and systematic literature review on DI&A, BD, AI, and HAI to the best of our knowledge. The article intends to be the first study on the specific opportunities and challenges posed to women, recognising that such emerging technology is in its adolescence and needs to be further studied, examined, and better understood. This study argues that it is essential that DI&A, BD, AI, and HAI consider analysing decision-making processes with varying levels of ambidexterity. By analysing DI&A, BD, AI and HAI influence on the quality of decisions and its effect on decision makers’ rationality and intuition, this study provides initial evidence on the effects of ambidexterity. A theory of ambidexterity in decision support was applied to these findings, which explained how ambidexterity can be promoted and how it affects decision performance…
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