NMA Huijts, EJE Molin, L Steg - Renewable and sustainable energy …, 2012 - Elsevier
Environmental and societal problems related to energy use have spurred the development of sustainable energy technologies, such as wind mills, carbon capture and storage, and …
Abstract Previous research in Explainable Artificial Intelligence (XAI) suggests that a main aim of explainability approaches is to satisfy specific interests, goals, expectations, needs …
P Tambe, P Cappelli… - California Management …, 2019 - journals.sagepub.com
There is a substantial gap between the promise and reality of artificial intelligence in human resource (HR) management. This article identifies four challenges in using data science …
While many organizations' hiring practices now incorporate artificial intelligence (AI) and machine learning (ML), research suggests that job applicants may react negatively toward …
This research explores the association of ethical leadership with employee service innovation behavior through a moderated mediation model. Theorizing on uncertainty …
KI Khan, A Niazi, A Nasir, M Hussain… - Journal of Open Innovation …, 2021 - Elsevier
The current coronavirus pandemic (COVID-19) has led the world toward severe socio- economic crisis and psychological distress. It has severely hit the economy; but the service …
A Oldeweme, J Märtins, D Westmattelmann… - Journal of medical …, 2021 - jmir.org
Background Contact tracing apps are an essential component of an effective COVID-19 testing strategy to counteract the spread of the pandemic and thereby avoid overburdening …
Purpose The purpose of this paper is to examine the association between abusive supervision and knowledge hiding behaviors. The authors further investigate how abusive …
This paper investigates how citizens' uncertainty in e-government services can be managed. First, we draw from uncertainty reduction theory, and propose that transparency and trust are …