[HTML][HTML] Explainable Artificial Intelligence (XAI) from a user perspective: A synthesis of prior literature and problematizing avenues for future research

AKMB Haque, AKMN Islam, P Mikalef - Technological Forecasting and …, 2023 - Elsevier
The rapid growth and use of artificial intelligence (AI)-based systems have raised concerns
regarding explainability. Recent studies have discussed the emerging demand for …

Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review

ED Zamani, C Smyth, S Gupta, D Dennehy - Annals of Operations …, 2023 - Springer
Abstract Artificial Intelligence (AI) and Big Data Analytics (BDA) have the potential to
significantly improve resilience of supply chains and to facilitate more effective management …

[HTML][HTML] Artificial intelligence (AI) competencies for organizational performance: A B2B marketing capabilities perspective

P Mikalef, N Islam, V Parida, H Singh… - Journal of Business …, 2023 - Elsevier
Abstract The deployment of Artificial Intelligence (AI) has been accelerating in several fields
over the past few years, with much focus placed on its potential in Business-to-Business …

Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability

LV Herm, K Heinrich, J Wanner, C Janiesch - International Journal of …, 2023 - Elsevier
Abstract Machine learning algorithms enable advanced decision making in contemporary
intelligent systems. Research indicates that there is a tradeoff between their model …

What impacts customer experience for B2B enterprises on using AI-enabled chatbots? Insights from Big data analytics

AK Kushwaha, P Kumar, AK Kar - Industrial Marketing Management, 2021 - Elsevier
Many B2B firms have widely accepted AI-based chatbots to provide human-like service
interaction at different customer touchpoints in recent years. One of the objectives behind …

Applications of explainable artificial intelligence in finance—a systematic review of finance, information systems, and computer science literature

P Weber, KV Carl, O Hinz - Management Review Quarterly, 2024 - Springer
Digitalization and technologization affect numerous domains, promising advantages but
also entailing risks. Hence, when decision-makers in highly-regulated domains like Finance …

How to explain AI systems to end users: a systematic literature review and research agenda

S Laato, M Tiainen, AKM Najmul Islam… - Internet …, 2022 - emerald.com
Purpose Inscrutable machine learning (ML) models are part of increasingly many
information systems. Understanding how these models behave, and what their output is …

[HTML][HTML] Organizational readiness to adopt artificial intelligence in the exhibition sector in Western Europe

D Hradecky, J Kennell, W Cai, R Davidson - International journal of …, 2022 - Elsevier
This exploratory study explores perceptions of Artificial Intelligence (AI) and organizational
readiness to adopt AI, in the exhibition sector of the events industry. A theoretical framework …

Artificial intelligence and machine learning

N Kühl, M Schemmer, M Goutier, G Satzger - Electronic Markets, 2022 - Springer
Within the last decade, the application of “artificial intelligence” and “machine learning” has
become popular across multiple disciplines, especially in information systems. The two …

[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 …