Search Results - subject_exact:"Künstliche Intelligenz"

Earning while learning : how to run batched bandit experiments

Kemper, Jan; Rostam-Afschar, Davud - 2026

Researchers typically collect experimental data sequentially, allowing early outcome observations and adaptive treatment assignment to reduce exposure to inferior treatments. This article reviews multiarmed-bandit adaptive experimental designs that balance exploration and exploitation. Because...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015616878

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Earning while learning : how to run batched bandit experiments

Kemper, Jan; Rostam-Afschar, Davud - 2026

Book / Working Paper

Who shirks at work? : an application of machine learning to time use data

Gimenez-Nadal, José Ignacio; Molina, José Alberto; … - 2026

Worker productivity depends not only on hours worked, but also on how work time is actually used, and time-use evidence shows that non-work at work is non-trivial. This paper provides a data-driven characterization of shirking, and studies which observable characteristics best predict shirking...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015616882

The diffusion of Artificial Intelligence across firms : evidence from Europe

Garbers, Julio; Gregory, Terry - 2026

We develop a novel firm-level indicator of Artificial Intelligence adoption in Europe (MAP-AI) by extracting information on AI usage from more than three million firm websites from Belgium, France, Germany, and Luxembourg (2016-2024) using a Large Language Model. The indicator captures realized...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015616899

An introduction to double/debiased machine learning

Ahrens, Achim; Chernozhukov, Victor; Hansen, Christian; … - 2026

This paper provides an introduction to Double/Debiased Machine Learning (DML). DML is a general approach to performing inference about a target parameter in the presence of nuisance functions: objects that are needed to identify the target parameter but are not of primary interest. Nuisance...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015616936

What's the link between health, artificial intelligence, renewable energy, education, and economic growth? : Glm-ardl approaches

Almusallam, Naif; Fikri, Yahya; Nechchad, Abdelhamid; … - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015616988

Predicting university dropouts : evidence on the value of student expectations and motivation

Epper, Thomas; Ibsen, Kristoffer Holst Kroustrup; Koch, … - 2026

University dropout is costly, making it a policy priority to identify factors that predict dropout. Using a survey experiment with incoming first-year students linked to long-run administrative outcomes, we assess which information improves dropout prediction beyond standard university records....

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015616999

Does AI cheapen talk? : theory and evidence from global entrepreneurship and hiring

Cowgill, Bo; Hernandez, Pablo; Wright, Nataliya Langburd - 2026

Screening human capital based on signals such as job applications or entrepreneurial pitches is crucial for organizations. Signals are often informative insofar as they require differential knowledge and effort to produce. Generative AI (GAI) complicates screening by lowering the cost of...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015617012

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Does AI cheapen talk? : theory and evidence from global entrepreneurship and hiring

Cowgill, Robert W.; Hernandez, Pablo; Wright, Nataliya … - 2026

Book / Working Paper

Energy shocks and coffee market resilience under a machine learning framework with the SDI+Index

Suárez-Rodríguez, Carlos Hernán; Manotas-Duque, … - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015617246

Innovation, crude oil prices, fossil fuel energy consumption and climate sustainability in Egypt : using the gradient boosting machine learning algorithm

Selmeya, Mousa Gowfal; Kammoun, Ali Abdelbasset; … - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015617367

A bibliometric analysis and research landscape of machine learning applications in greenhouse gas emissions

Ajibade, Samuel-Soma M.; Adediran, Anthonia Oluwatosin; … - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015617389

Firm data on AI

Yotzov, Ivan; Barrero, Jose Maria; Bloom, Nicholas; … - 2026

We present the first representative international data on firm-level AI use. We survey almost 6,000 CFOs, CEOs, and executives from stratified firm samples across the US, UK, Germany, and Australia. We find four key facts. First, around 70 percent of firms actively use AI, particularly younger,...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015618010

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Firm Data on AI

Yotzov, Ivan; Barrero, Jose Maria; Bloom, Nicholas; … - 2026

Book / Working Paper

Artificial Intelligence, Productivity, and the Workforce : Evidence from Corporate Executives

Baslandze, Salomé; Edwards, Zachary; Graham, John R.; … - 2026

We use novel data from a survey of nearly 750 corporate executives to study the effects of artificial intelligence (AI) on productivity and the workforce. We document substantial heterogeneity in AI adoption across firms, with more than half having already invested, though many smaller firms are...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015626313

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Artificial intelligence, productivity, and the workforce : evidence from corporate executives

Baslandze, Salomé; Edwards, Zachary; Graham, John R.; … - 2026

Book / Working Paper

Artificial intelligence, productivity, and the workforce: evidence from corporate executives

Baslandze, Salomé; Edwards, Zachary; McClure, Ty; … - 2026

Book / Working Paper

Artificial intelligence capital and business innovation

Drydakis, Nick - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016081879

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Artificial intelligence capital and business innovation

Drydakis, Nick - 2026

Book / Working Paper

Artificial Intelligence capital and business innovation

Drydakis, Nick - 2026

Book / Working Paper

The macroeconomic effects of AI uncertainty

Reyes, Juan Rufino M. - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015618189

Reshaping the consumer-energy relationship through AI : opportunities, risks and regulatory outlook

Moreno, Valeria Karina; Poudineh, Rahmatallah - 2026

The promise of Artificial Intelligence (AI) in residential energy is consumer empowerment, yet without appropriate governance the emerging reality may be its opposite. As households become data producers, behavioural subjects, and operational assets within intelligent electricity networks, a...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015618197

Machine learning for estimating catastrophic health spending in disaster-affected, data-scarce settings

Himaz, Rozana; Salmanidou, Dimitra; Ghaffarian, Saman - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015618216

Digital green finance models for sustainable urban development : current trends and future perspectives

Opoku, Alex; Danquah, Richmond Darko; Aklashie, Samuel; … - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015618407

Artificial intelligence-driven financial strategies for renewable energy transition : a cross-country analysis of efficiency, investment, and policy implications

Özyeşil, Mustafa; Tembelo, Havane; Kural, Kemal - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015618681

An analytical framework for causal decision-making in international trade

Vanegas-López, Juan Gabriel; Pérez-Aguirre, Carlos Andrés - 2026

In international trade, selecting an Incoterm is a critical decision impacting costs and risks. Previous quantitative studies relied on traditional econometric models imposing strict linearity, limiting causal interpretation. This study addresses this gap by applying a causal inference framework...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015654282

A predictive analytics approach for forecasting global stock index returns using deep learning techniques

Hu, Liang; Shen, Yinru - 2026

Accurately predicting stock index returns remains a critical yet complex task due to the inherent volatility of financial markets and the intricate temporal dependencies within financial time series. This study presents a robust machine learning framework to forecast the relative returns of...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015654339

An adaptive graph-based method for structured learning and decision analysis

Samanta, Sovan; Allahviranloo, Tofigh; Mrsic, Leo; … - 2026

Many decision-support systems operate as networks of interacting units (e.g., hospital departments, transportation hubs, or organizational teams). In such systems, different units often use different data representations and model parameters, so direct comparison of local model states across...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015654360

An explainable transformer framework for sentiment analysis in aviation workforce data

Chakraborty, Sovon; Das, Protiva; Al Farid, Fahmid; … - 2026

Aviation is one of the predominant sectors that contribute significantly to the global economy. With the advent of technology, this industry is witnessing a paradigm shift towards data-driven approaches. The morale of the airline employees is barely noticed, which causes fatigue and depression....

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015654366

The smarter state? : artificial intelligence and modern state and local public finance

Agrawal, David R.; Fox, William F. - 2026

This paper examines how artificial intelligence (AI) reshapes subnational public finance, largely through familiar channels observed from prior technological change. Although some effects are novel, many issues surrounding the taxation of AI-related income and consumption parallel earlier...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015654402

Pax Silica and the Philippine industrial upgrading challenge : a Tatak Pinoy Strategy perspective

Pelkmans-Balaoing, Edylinda Annette Oreta - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015654711

Engineered precarities : algorithmic management in data work and content moderation

2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015655190

Invisible Workers, visible harms : perils and precarities of AI labour

2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015655193

Fragmented responsibility : labour exploitation and governance gaps in AI supply chains

2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015655194

Algorithm aversion in prosocial tasks : evidence from AI-Based performance evaluation

Abel, Martin; Dawi, Raghad S.; Lenk, Tyler; Singer, Aidan - 2026

How do workers respond when artificial intelligence replaces human judgment in evaluating prosocial work? Partnering with a non-profit addressing food insecurity, we recruit 1,491 U.S. volunteers to write fundraising messages and cross-randomize evaluation by humans versus AI and the presence of...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015655579

Does an artificial intelligence energy management system reduce electricity consumption in Japan's retail sector?

Lu, Guanyu; Katayama, Hajime; Arimura, Toshihide; … - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015562099

Credit risk assessment with stacked machine learning

Columba, Francesco; Cugliari, Manuel; Di Virgilio, Stefano - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015562268

Sentiment and uncertainty indices from economic news in Colombia

Mora-Quiñones, Rocío Clara A.; Orozco, Antonio; … - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015562532

From shipments to supply chains : mining input-output links from firm-level trade flows

Mau, Karsten; Vicencio, Antonio; Xu, Mingzhi; Zheng, Yawen - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015562828

AI as decision-maker : ethics and risk preferences of LLMs

Ouyang, Shumiao; Yun, Hayong; Zheng, Xingjian - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015568259

Choosing product space : lessons from the app economy

Jamison, Mark A.; Yu, Byoungmin - 2026

Firms often choose with whom to compete and how similar or how different their products should be relative to those of their rivals. This paper investigates this issue in the app economy by studying the determinants of mobile app success. We leverage natural language processing and unsupervised...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015571954

Deep learning projects jurisdiction of new and proposed Clean Water Act regulation

Greenhill, Simon; Walker, Brant J.; Shapiro, Joseph S. - 2026

Projecting the effects of proposed policy reforms is challenging because no outcome data exist for regulations that governments have not yet implemented. We propose an ex ante deep learning framework that can project effects of proposed reforms by mapping outcomes observed under past regulations...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015608751

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Deep Learning Projects Jurisdiction of New and Proposed Clean Water Act Regulation

Greenhill, Simon; Walker, Brant J.; Shapiro, Joseph S. - 2026

Book / Working Paper

Understanding and predicting recidivism in Latin America : a machine learning approach

Anauati, María Victoria; Romero, María Noelia; … - 2026

Recidivism is a persistent challenge for criminal justice systems worldwide, yet evidence from Latin America remains scarce. This study addresses that gap through three contributions. First, it reviews the individual, institutional, and contextual determinants of recidivism, with special...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015608807

ChatGPT in science and research : how generative AI drives innovation and knowledge development

Madzík, Peter; Falát, Lukáš; Skýpalová, Renata; … - 2026

The rapid rise of generative artificial intelligence (AI), particularly Chat Generative Pre-trained Transformer (ChatGPT), is transforming how knowledge is produced and innovation unfolds across disciplines. To capture this shift, we analyze 13,942 peer-reviewed publications with Latent...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015608943

Determinants of generative artificial intelligence use in startups

Donaldson, Colin; Linton, Gabriel; McDowell, William C.; … - 2026

This study investigates the adoption of generative artificial intelligence in accelerator-based startups to determine which types of startups most use the technology. Internal and external factors likely to influence high usage are examined, including creativity, proactivity, industry dynamism,...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015608952

Teamwork in project management : mapping AI as mediator with triangulated bibliometrics (1966-2023) under the IMOI framework

Ortiz-Marcos, Isabel; Rodrigo, Laura; Palacios, Miguel; … - 2026

We map the intellectual structure of teamwork in project management (PM) using a triangulated bibliometric design to interrogate 16,320 Scopus records (1966-November 2023). Three complementary lenses-keyword co-occurrence (topical cohesion), bibliographic coupling (research front), and...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015609044

NRW als KI-Standort : Infrastruktur, Energie und Wertschöpfung : Stellungnahme für die Anhörung der Enquetekommission IV "Künstliche Intelligenz - für einen smarten Staat in der digitalisierten Gesellschaft" des Landtags Nordrhein-Westfalen zum Thema "Notwendige Infrastruktur und Wertschöpfungsketten"

Demary, Vera; Küper, Malte - 2026 - Stand: März 2026

Er fächert das Thema jedoch umfassender auf und gliedert sich wie folgt: Kapitel 2 zeigt auf, welche Standortfaktoren für Rechenzentren als Kern der KI-Infrastruktur allgemein von Bedeutung sind. Darauf aufbauend untersucht Kapitel 3 die KI-Infrastruktur in NRW und deren benötigten Ausbau,...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015609557

Artificial intelligence and risk-taking in banking

Drăgan, Tudor-Andrei; Jiang, Wenjing; Nistor, Simona; … - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015609792

Can satellites predict oil demand?

Bricongne, Jean-Charles; Macalos, Joao; Meunier, Baptiste; … - 2026

We investigate whether satellite observations of nitrogen dioxide (NO₂) - a short-lived pollutant primarily emitted by fossil fuel combustion - can improve the forecasting of oil demand. After retrieving, cleaning, and aggregating daily satellite data, we integrate NO₂ into a range of...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015610289

Legal dimensions of global AML risk assessment : a machine learning approach

Kovalchuk, Olha; Shevchuk, Ruslan; Banakh, Serhiy; … - 2026

Money laundering poses a serious threat to financial stability and requires effective national frameworks for prevention. This study investigates how the quality of legal and institutional frameworks affects the effectiveness of national anti-money laundering (AML) systems and their implications...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015611262

Machine learning & artificial intelligence powered credit scoring models for Islamic Microfinance Institutions : a Blockchain approach

Mukit, Mohammad Mushfiqul Haque; Hasan, Fakhrul; … - 2026

Islamic Microfinance Institutions (IMFIs) encounter distinct difficulties with credit scoring because they need to follow Shariah principles that combine riba bans with fair financial dealings regulations. Conventional credit scoring models exhibit two shortcomings: a poor capability to...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015611276

A framework for interpreting machine learning models in bond default risk prediction using LIME and SHAP

Zhang, Yan; Chen, Lin; Tian, YiXiang - 2026

Interpretability analysis methods, such as LIME and SHAP, are widely employed to explain the predictions of artificial intelligence models; however, they primarily function as post hoc tools and do not directly quantify the intrinsic interpretability of the models. Although it is commonly...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015611531

Role of artificial intelligence in finance : selective literature review and implications for Asia's financial stability

Zhang, Yang; Qiu, Ziang; Park, Donghyun; Tian, Shu - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015611634

The simple mathematics of large language Models

Breeden, Joseph L. - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015611656

Measuring services complexity: a novel machine learning approach using U.S. input-output data

Picasso, Santiago - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015611687

AI-Augmented digital collaboration improvement framework for sustainable digital transformation

Stankevice, Inga; Egerland, Jo Merten - 2026

Literature on digital collaboration often focuses on individual aspects, but rarely combines them into a unified, practical and sustainability-friendly management tool. The paper fills this critical gap by presenting a comprehensive framework for enhancing digital collaboration, integrating AI,...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015611752

Semantic mapping of AI-for-government research : uncovering the knowledge architecture of digital-era governance

Čišić, Dragan; Drezgić, Saša; Buterin, Vesna; … - 2026

This study presents a comprehensive bibliographic and semantic analysis of 3957 scientific publications on artificial intelligence (AI) in government and public administration. Using an integrated text- and network-based approach, we identify the main thematic areas and conceptual orientations...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015611768