With the continuing application of artificial intelligence (AI) technologies in decision-making,
algorithmic decision-making is becoming more efficient, often even outperforming humans …

With technological developments in artificial intelligence, algorithms are increasingly
capable to perform tasks that were considered to be unique for humans. However, literature …

Despite abundant literature theorizing societal implications of algorithmic decision making,
relatively little is known about the conditions that lead to the acceptance or rejection of …

Although algorithms offer superior performance over humans across many tasks, individuals
often exhibit algorithm aversion, resisting algorithmic advice in favour of human …

Due to digitalization resulting in artificial intelligence advice, there are increasing studies on
advice taking, exploring individual and task-relevant factors associated with the acceptance …

Algorithm appreciation, defined as an individual's reliance or tendency to rely on algorithms
in decision-making, has emerged as a subject of growing scholarly interest. Inquiries into …

The increased use of algorithms to support decision making raises questions about whether
people prefer algorithmic or human input when making decisions. Two streams of research …

As firms are moving towards data-driven decision making, they are facing an emerging
problem, namely, algorithmic bias. Accordingly, algorithmic systems can yield socially …

Owing to advancements in artificial intelligence (AI) and specifically in machine learning,
information technology (IT) systems can support humans in an increasing number of tasks …

When consumers avoid taking algorithmic advice, it can prove costly to both marketers
(whose algorithmic product offerings go unused) and to themselves (who fail to reap the …