[HTML][HTML] Generative ai

S Feuerriegel, J Hartmann, C Janiesch… - Business & Information …, 2024 - Springer
Tom Freston is credited with saying ''Innovation is taking two things that exist and putting
them together in a new way''. For a long time in history, it has been the prevailing …

[HTML][HTML] Artificial intelligence research: A review on dominant themes, methods, frameworks and future research directions

K Ofosu-Ampong - Telematics and Informatics Reports, 2024 - Elsevier
This article presents an analysis of artificial intelligence (AI) in information systems and
innovation-related journals to determine the current issues and stock of knowledge in AI …

[HTML][HTML] The dynamics of AI capability and its influence on public value creation of AI within public administration

C van Noordt, L Tangi - Government Information Quarterly, 2023 - Elsevier
Artificial Intelligence (AI) technologies in public administration are gaining increasing
attention due to the potential benefits they can provide in improving governmental …

[HTML][HTML] Artificial intelligence capabilities for circular business models: Research synthesis and future agenda

A Madanaguli, D Sjödin, V Parida, P Mikalef - … Forecasting and Social …, 2024 - Elsevier
This study explores the interlink between AI capabilities and circular business models
(CBMs) through a literature review. Extant literature reveals that AI can act as efficiency …

The Turing Transformation: Artificial intelligence, intelligence augmentation, and skill premiums

AK Agrawal, JS Gans, A Goldfarb - 2023 - nber.org
We ask whether a technical objective of using human performance of tasks as a benchmark
for AI performance will result in the negative outcomes highlighted in prior work in terms of …

Automation-augmentation paradox in organizational artificial intelligence technology deployment capabilities; an empirical investigation for achieving simultaneous …

A Kumar, SS Bhattacharyya… - Journal of Enterprise …, 2023 - emerald.com
Purpose The purpose of this research study was to understand the simultaneous competitive
and social gains of machine learning (ML) and artificial intelligence (AI) usage in …

[HTML][HTML] Generative mechanisms of AI implementation: A critical realist perspective on predictive maintenance

A Stohr, P Ollig, R Keller, A Rieger - Information and Organization, 2024 - Elsevier
Artificial intelligence (AI) promises various new opportunities to create and appropriate
business value. However, many organizations–especially those in more traditional …

[HTML][HTML] AI Literacy for the top management: An upper echelons perspective on corporate AI orientation and implementation ability

M Pinski, T Hofmann, A Benlian - Electronic Markets, 2024 - Springer
We draw on upper echelons theory to examine whether the AI literacy of a firm's top
management team (ie, TMT AI literacy) has an effect on two firm characteristics paramount …

Machine Learning‐Enhanced Triboelectric Sensing Application

R Shang, H Chen, X Cai, X Shi, Y Yang… - Advanced Materials …, 2024 - Wiley Online Library
Triboelectric nanogenerator (TENG) has become a promising candidate for wearable
energy harvesting and self‐powered sensing systems. However, processing large amounts …

[HTML][HTML] Fusing domain knowledge with machine learning: A public sector perspective

L Sundberg, J Holmström - The Journal of Strategic Information Systems, 2024 - Elsevier
Abstract Machine learning (ML) offers widely-recognized, but complex, opportunities for both
public and private sector organizations to generate value from data. A key requirement is …