Artificial intelligence (AI) will have a substantial impact on firms in virtually all industries.
Without guidance on how to implement and scale AI, companies will be outcompeted by the …

Purpose: The purpose of the study is to examine the challenges faced by businesses in
integrating and effectively utilizing artificial intelligence (AI) technology. It aims to provide a …

In recent years many companies have deployed Artificial Intelligence (AI), which has
included neural networks, expert systems and voice‐recognition systems. Yet managers and …

This technology manager's note piece identifies the major components in the artificial
intelligence (AI) business ecosystem and discusses several implications for managers …

This study seeks to thoroughly understand the organizational context in which Artificial
Intelligence (AI) would be implemented, through a systematic review and analysis of articles …

Managing artificial intelligence (AI) marks the dawn of a new age of information technology
management. Managing AI involves communicating, leading, coordinating, and controlling …

Many alarms have sounded on the potential for artificial intelligence (AI) technologies to
upend the workforce, especially for easy-to-automate jobs. But managers at all levels will …

While the promise of artificial intelligence (AI) is pervasive, many companies struggle with AI
implementation challenges. This article presents results from a survey of 2,525 decision …

In the rapidly evolving landscape of organizational technologies, the integration of Artificial
Intelligence (AI) into Administrative Information Systems (AIS) stands out as a pivotal and …