Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy

# Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy > OpenAlex Metadata Hub · https://openalex.org/W2969625533 ## Bibliographic - **DOI:** 10.1016/j.ijinfomgt.2019.08.002 - **Year:** 2019 - **Citations:** 4093 - **Open Access:** Yes (hybrid) - **License:** public-domain - **Source:** https://www.sciencedirect.com/science/article/pii/S026840121930917X ## Authors - Yogesh K. Dwivedi - Laurie Hughes - Elvira Ismagilova - Gert Aarts - Crispin Coombs - Tom Crick - Yanqing Duan - Rohita Dwivedi - John S. Edwards - Aled Eirug - Vassilis Galanos - P. Vigneswara Ilavarasan - Marijn Janssen - Paul Jones - Arpan Kumar Kar - Hatice Kizgin - Bianca Kronemann - Banita Lal - Biagio Lucini - Rony Medaglia - Kenneth Le Meunier‐FitzHugh - Leslie Caroline Le Meunier-FitzHugh - Santosh K. Misra - Emmanuel Mogaji - Sujeet Kumar Sharma - Jang Bahadur Singh - Vishnupriya Raghavan - Ramakrishnan Raman - Nripendra P. Rana - Spyridon Samothrakis - Jak Spencer - Kuttimani Tamilmani - Annie Tubadji - Paul Walton - Michael D. Williams ## Abstract As far back as the industrial revolution, significant development in technical innovation has succeeded in transforming numerous manual tasks and processes that had been in existence for decades where humans had reached the limits of physical capacity. Artificial Intelligence (AI) offers this same transformative potential for the augmentation and potential replacement of human tasks and activities within a wide range of industrial, intellectual and social applications. The pace of change for this new AI technological age is staggering, with new breakthroughs in algorithmic machine learning and autonomous decision-making, engendering new opportunities for continued innovation. The impact of AI could be significant, with industries ranging from: finance, healthcare, manufacturing, retail, supply chain, logistics and utilities, all potentially disrupted by the onset of AI technologies. The study brings together the collective insight from a number of leading expert contributors to highlight the significant opportunities, realistic assessment of impact, challenges and potential research agenda posed by the rapid emergence of AI within a number of domains: business and management, government, public sector, and science and technology. This research offers significant and timely insight to AI technology and its impact on the future of industry and society in general, whilst recognising the societal and industrial influence on pace and direction of AI development. ## Keywords Pace, Transformative learning, Government (linguistics), Multidisciplinary approach, Supply chain, Knowledge management, Business, Engineering, Marketing, Computer science, Sociology, Social science ## Concepts - Pace - Transformative learning - Government (linguistics) - Multidisciplinary approach - Supply chain - Knowledge management - Business - Engineering - Marketing - Computer science - Sociology - Social science - Philosophy - Geography - Linguistics - Pedagogy - Geodesy --- *Metadata only — full text not imported unless Open Access license permits.*

Bài “Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy” được TradingBase chuyển thành Knowledge Product cho trader — không phải trang đọc abstract OpenAlex. Tóm lược học thuật (đã diễn giải): As far back as the industrial revolution, significant development in technical innovation has succeeded in transforming numerous manual tasks and processes that had been in existence for decades where humans had reached the limits of physical capacity. Artificial Intelligence (AI) offers this same transformative potential for the augmentation and potential replacement of human tasks and activities within a wide range of industrial, intellectual and social applications. The pace of change for this new AI technological age is staggering, with new breakthroughs in algorithmic machine learning and autonomous decision-making, engendering new opportunities for continued innovation. The impact of AI could be significant, with industries ranging from: finance, healthcare, manufacturing, retail, supply chain, logistics and utilities, all potentially disrupted by the onset of AI technologies. The … Phần Trading Insights bên dưới nối nghiên cứu với Forex, vàng, USD, lãi suất và risk regime — để bạn đưa vào journal và playbook. Metadata DOI/OA chỉ là rail tham chiếu; nội dung chính là summary, takeaways và ứng dụng thị trường do Content Factory sinh.