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AI, skill, and productivity : the case of taxi drivers
Kanazawa, Kyogo; Kawaguchi, Daiji; Shigeoka, Hitoshi; … - 2022
assists drivers with finding customers by suggesting routes along which the demand is predicted to be high. We find that AI …
Persistent link: https://www.econbiz.de/10013433210
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Measuring employment readiness for hard-to-place individuals
Tranberg Bodilsen, Simon; Nielsen, Søren Albeck; … - 2023
In an era characterized by population aging and economic challenges in welfare states across the world, sustaining these welfare systems requires a large workforce. Many individuals outside the labor market aspire to work but encounter a labyrinth of obstacles. While Public Employment Services...
Persistent link: https://www.econbiz.de/10014431794
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Survey of models on demand, customer base-line and demand response and their relationships in the power market
Heshmati, Almas - 2012
The increasing use of demand-side management as a tool to reliably meet electricity demand at peak time has stimulated … the growing literature on models used to study demand, consumer baseline (CBL) and demand response in the electricity … market. After characterizing the general demand models, it reviews consumer baseline based on which further study the demand …
Persistent link: https://www.econbiz.de/10009548648
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The impact of artificial intelligence on labor markets in developing countries: a new method with an illustration for Lao PDR and Viet Nam
Carbonero, Francesco; Davies, Jeremy; Ernst, Ekkehard; … - 2021
AI is transforming labor markets around the world. Existing research has focused on advanced economies but has neglected developing economies. Different impacts of AI on labor markets in different countries arise not only from heterogeneous occupational structures, but also from the fact that...
Persistent link: https://www.econbiz.de/10012795346
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New digital technologies and heterogeneous employment and wage dynamics in the United States : evidence from individual-level data
Fossen, Frank M.; Sorgner, Alina - 2019
We investigate heterogeneous effects of new digital technologies on the individual-level employment- and wage dynamics in the U.S. labor market in the period from 2011-2018. We employ three measures that reflect different aspects of impacts of new digital technologies on occupations. The first...
Persistent link: https://www.econbiz.de/10011993983
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Artificial intelligence and entrepreneurship
Fossen, Frank M.; McLemore, Trevor; Sorgner, Alina - 2024
This survey reviews emerging but fast-growing literature on impacts of artificial intelligence (AI) on entrepreneurship, providing a resource for researchers in entrepreneurship and neighboring disciplines. We begin with a review of definitions of AI and show that ambiguity and broadness of...
Persistent link: https://www.econbiz.de/10014550353
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Artificial intelligence and reduced SMEs' business risks : a dynamic capabilities analysis during the COVID-19 pandemic
Drydakis, Nick - 2022
AI enables SMEs to boost their dynamic capabilities by leveraging technology to meet new types of demand, move at speed …
Persistent link: https://www.econbiz.de/10012822083
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Automation and related technologies: a mapping of the new knowledge base
Santarelli, Enrico; Staccioli, Jacopo; Vivarelli, Marco - 2022
Using the entire population of USPTO patent applications published between 2002 and 2019, and leveraging on both patent classification and semantic analysis, this paper aims to map the current knowledge base centred on robotics and AI technologies. These technologies are investigated both as a...
Persistent link: https://www.econbiz.de/10012805445
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The race of man and machine: implications of technology when abilities and demand constraints matter
Gries, Thomas; Naudé, Wim - 2021
two groups of households with different preferences. This allows our model to be demand constrained and able to model the …
Persistent link: https://www.econbiz.de/10012517812
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Crowdsourcing artificial intelligence in Africa: findings from a machine learning contest
Naudé, Wim; Bray, Amy; Lee, Celina - 2021
In this paper, we study the crowdsourcing of innovation in Africa through a data science contest on an intermediated digital platform. We ran a Machine Learning (ML) contest on the continent's largest data science contest platform, Zindi. Contestants were surveyed on their motivations to take...
Persistent link: https://www.econbiz.de/10012589259