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From trash to cash : how blockchain and multi-sensor-driven artificial intelligence can transform circular economy of plastic waste?

Chidepatil, Aditya; Bindra, Prabhleen; Kulkarni, Devyani; … - In: Administrative Sciences : open access journal 10 (2020) 2/23, pp. 1-16

Virgin polymers based on petrochemical feedstock are mainly preferred by most plastic goods manufacturers instead of recycled plastic feedstock. Major reason for this is the lack of reliable information about the quality, suitability, and availability of recycled plastics, which is partly due to...

Persistent link: https://www.econbiz.de/10012203988

Google search in exchange rate models : hype or hope?

Herzog, Bodo; Santos, Lana dos - In: Journal of risk and financial management : JRFM 14 (2021) 11, pp. 1-40

This paper studies the power of online search intensity metrics, measured by Google, for examining and forecasting exchange rates. We use panel data consisting of quarterly time series from 2004 to 2018 and ten international countries with the highest currency trading volume. Newly, we include...

Persistent link: https://www.econbiz.de/10012794744

Artificial intelligence and firm performance : does machine intelligence shield firms from risks?

Ho, Linh Tu; Gan, Christopher; Jin, Shan; Le, Bryan - In: Journal of risk and financial management : JRFM 15 (2022) 7, pp. 1-20

(AI) and conventional listed firms using stock market indices. The single-group and multiple-group Interrupted Time …). The results show that the negative impact of COVID-19 on the AI stock market was less severe than on the conventional … stock market in the first month of the pandemic. The performance of the AI stock market recovered quicker than the …

Persistent link: https://www.econbiz.de/10013370386

Adopting artificial intelligence technology for network operations in digital transformation

Min, Seoungkwon; Kim, Bo-Young - In: Administrative Sciences : open access journal 14 (2024) 4, pp. 1-25

This study aims to define factors that affect Artificial Intelligence (AI) technology introduction to network …-making framework is suggested to promote network operations with AI technology. As affecting factors were derived based on related …-Organization-Environment (TOE) framework. To collect data, a survey was conducted among 30 experts in network operations and AI. The importance of …

Persistent link: https://www.econbiz.de/10014527004