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Dynamic exepectation theory : insights for market participants

Herzog, Bodo - In: Journal of risk and financial management : JRFM 12 (2019) 2/77, pp. 1-14

. Finally, the model is suitable for an AI approach and has major implications on the behaviour of market participants. …

Persistent link: https://www.econbiz.de/10012022118

Categorisation of mergers and acquisitions in Japan using corporate databases : a fundamental research for recommendation

Shao, Bohua; Asatani, Kimitaka; Sakata, Ichiro - In: International journal of technology management : IJTM 93 (2023) 3/4, pp. 316-344

Persistent link: https://www.econbiz.de/10014428148

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 human rights : a comprehensive study from Indian legal and policy perspective

Chatterjee, Sheshadri; Sreenivasulu, N. S. - In: International journal of law and management 64 (2022) 1, pp. 110-134

Persistent link: https://www.econbiz.de/10012797629

AI and IoT-based collaborative business ecosystem : a case in Chinese fish farming industry

Yang, Xiaoping; Cao, Dongmei; Chen, Jing; Zuoping, Xiao; … - In: International journal of technology management : IJTM 82 (2020) 2, pp. 151-171

Persistent link: https://www.econbiz.de/10012256980

Evolution of artificial intelligence and its impact on human rights : from sociolegal perspective

Chatterjee, Sheshadri; Sreenivasulu, N. S.; Hussain, Zahid - In: International journal of law and management 64 (2022) 2, pp. 184-205

Persistent link: https://www.econbiz.de/10012884517

Artificial intelligence-assisted mindfulness in tourism, hospitality, and events

Wang, Yao-Chin; Uysal, Muzaffer - In: International journal of contemporary hospitality management 36 (2024) 4, pp. 1262-1278

Persistent link: https://www.econbiz.de/10014483838

Do post-Corona European economic policies lift growth prospects? : exploring an ML-methodology

Herzog, Bodo - In: Journal of risk and financial management : JRFM 15 (2022) 3, pp. 1-13

This article explores the determinants of people’s growth prospects in survey data as well as the impact of the European recovery fund to future growth. The focus is on the aftermath of the Corona pandemic, which is a natural limit to the sample size. We use Eurobarometer survey data and...

Persistent link: https://www.econbiz.de/10013163694

Organising for AI-powered innovation through design : the case of Hitachi Vantara

Dennehy, Denis; Schmarzo, Bill; Sidaoui, Mouwafac - In: International journal of technology management : IJTM 88 (2022) 2/4, pp. 312-334

Persistent link: https://www.econbiz.de/10013258127

Investigating the determinants of performance of artificial intelligence adoption in hospitality industry during COVID-19

Chen, Yuangao; Yuqing Hu; Zhou, Shasha; Yang, Shuiqing - In: International journal of contemporary hospitality management 35 (2023) 8, pp. 2868-2889

of performance of artificial intelligence (AI) adoption in hospitality industry during COVID-19 and identifies the … the hospitality industry. Findings The empirical results reveal that perceived AI risk, management support, innovativeness …, competitive pressure and regulatory support significantly influence the performance of AI adoption. Additionally, the ANN results …

Persistent link: https://www.econbiz.de/10014314888