Understanding Human-machine Collaborative Systems in Industrial Decision-making

Abstract

The inclusion of Intelligent systems in industries has resulted in various opportunities as well as some unforeseen concerns. It has brought complexity in team dynamics, communication, and decision-making structure. Therefore, transforming the structure of the organizations into a collaborative space where both humans and intelligent machines work together as partners is challenging. This paper delves into these complexities elaborating on the impact of incorporating intelligent machines on decision-making and decision-makers. The paper explores the novel research area by the means of a systematic review of the literature in this field. The review process resulted in 37 carefully selected articles from Scopus and Web of Science databases. The results show the increasing number of publications in this interdisciplinary research area. As findings of the paper, four major concepts of human-machine collaborative systems in industrial decision-making have been derived, and applications within these conceptual areas are introduced in this paper. Finally, emerging, and potential future research are presented, as well as the essential areas to be paid attention to as managerial implications of the findings.