The rising use of artificially intelligent (AI) technologies, including generative AI tools, in
organizations is undeniable. As these systems become increasingly integrated into …

People have conflicting responses for support from algorithms or humans in decision-
making. On the one hand, they fail to benefit from algorithms due to algorithm aversion, as …

This study investigates the potential of automated classification using prompt-based learning
approaches with transformer models (large language models trained in an unsupervised …

Artificial intelligence (AI) applications have become an integral part of our society. However,
studying AI as one entity or studying idiosyncratic applications separately both have …

We conducted a systematic literature review by integrating FinTech with the UN Sustainable
Development Goals (SDGs). By focusing on three dimensions (inclusive finance, economy …

Models of work design emerged in the twentieth century to address workplace changes
created by the industrial revolution. However, the world of work is currently undergoing a …

Purpose Starting from the relevance of ethics to the application of artificial intelligence (AI) in
the context of employee recruitment and selection (R&S), in this article, we aim to provide a …

This article addresses three key questions related to the ethical facets of algorithmic literacy.
First, it synthesizes existing literature to identify six core ethical components, including bias …

For the past several years, internal audit functions (IAFs) have been significantly increasing
their digitization efforts to enhance the efficiency and effectiveness of the IAF. The …

There are synergies of research interests and industrial efforts in modeling fairness and
correcting algorithmic bias in machine learning. In this paper, we present a scalable …