What's next for responsible artificial intelligence: a way forward through responsible innovation

H Herrmann - Heliyon, 2023 - cell.com
Industry is adopting artificial intelligence (AI) at a rapid pace and a growing number of
countries have declared national AI strategies. However, several spectacular AI failures …

Three and a half decades of artificial intelligence in banking, financial services, and insurance: A systematic evolutionary review

H Herrmann, B Masawi - Strategic Change, 2022 - Wiley Online Library
The banking, financial services, and insurance (BFSI) sector is one of the earliest and most
prominent adopters of artificial intelligence (AI). However, academic research substantially …

[HTML][HTML] AI Quality Standards in Health Care: Rapid Umbrella Review

CE Kuziemsky, D Chrimes, S Minshall… - Journal of Medical …, 2024 - jmir.org
Background In recent years, there has been an upwelling of artificial intelligence (AI) studies
in the health care literature. During this period, there has been an increasing number of …

[HTML][HTML] Impact of artificial intelligence on aeronautics: An industry-wide review

A Zaoui, D Tchuente, SF Wamba… - Journal of Engineering …, 2024 - Elsevier
Curiously, there are few contributions in the scientific literature on the subject of artificial
intelligence (AI) and its impact on aeronautics. However, many communications and reports …

Introducing the Systematic Science Mapping Framework: an innovative and mixed approach for macro scale reviews

H Herrmann - Handbook of mixed methods research in business …, 2023 - elgaronline.com
The purpose of this chapter is to introduce a novel mixed-methods framework design for
large-scale literature reviews which can encompass thousands of publications, including an …

Towards a taxonomy of industrial challenges and enabling technologies in industry 4.0

R Figliè, R Amadio, M Tyrovolas, C Stylios… - IEEE …, 2024 - ieeexplore.ieee.org
In the era of Industry 4.0 (I4. 0), a significant challenge hindering digital transformation is the
lack of mutual understanding between academia—particularly within engineering and …

AI in Human Resource Management: Literature Review and Research Implications

Y Zhai, L Zhang, M Yu - Journal of the Knowledge Economy, 2024 - Springer
This study sorted out the literature on the application of AI in HRM from 2012 to 2021 using
CiteSpace to derive the history of research in this field. Further, the research emphasis has …

Call for Papers-Transforming Business Models Across Digital Platforms: Exploring the Role of Artificial Intelligence

LM Elena, G Marzi, T Daniel, G Francesca… - Journal of Engineering …, 2024 - iris.imtlucca.it
Nowadays, more and more companies are adopting business models based on the use of
two-sided platforms with the aim of connecting two different groups of customers. At the …

Mapping the evolution of algorithmic HRM (AHRM): a multidisciplinary synthesis

R Cameron, H Herrmann, A Nankervis - Humanities and Social …, 2024 - nature.com
High levels of confusion persist around the term “algorithm” in general; and in addition to
this, there is also conceptual confusion around the application of algorithms to human …

Bidding for B2B or B2G tenders: toward the adoption of pricing models in practice

H Herrmann, MJ Cobo Martín - Management Review Quarterly, 2024 - Springer
This study investigates the lack of adoption of pricing models for tenders in business-to-
business (B2B) and business-to-government (B2G) markets. We aim to identify the gaps …