Consolidating Human-AI Collaboration Research in Organizations: A Literature Review

The purpose of this study is to depict the value added by human-AI collaboration in organizations to collaboration system design by virtue of the studies reached by the literature review on different databases are examined. Web of Science content and covering the title of “human-AI collaboration” has been selected in this study. Research using bibliometric analysis has been conducted and it has been determined that the terms “human-AI collaboration” and “generative artificial intelligence” should be searched for simultaneously in each and every article published in the journal between the years 1975 and 2024. Our study used a combination of bibliometric analysis and literature review, bibliometric analysis tools include HistCite and CiteSpace. The citation map shows three phases: human-machine collaboration into practice (before 2020), the intelligent and automated segment of AI (2020-2021), and the generative AI phase represented by ChatGPT (2022 to present). This article conducted a systematic overview study on human-AI collaboration in organizations, established a conceptual framework for the conceptual framework of human-machine collaboration guided by generative AI integration, and provided certain theoretical insights to guide the corresponding practical activities. Bibliometric analysis is a method that can be used to evaluate the performance of a research topic. However, it is important to note that bibliometric analysis has some limitations when it comes to assessing the validity of a single theme. This circumstance is elaborately described as a limitation of this study. This article builds on data from WoS Core Collection, and some new but important articles may not be analyzed, since bibliometrics consider high citation as an indicator to select influential articles. while previous research focused on researching modes of collaboration between humans and cobats, such as virtual assistants, this study extends the literature on different types of AI. Our research addresses the emerging field of collaboration with software that is not just a mere tool designed for performing knowledge work but becomes a collaborative partner.