Next-generation IS research methods – towards a better understanding of complex and dynamic phenomena ... and generative AI as the elephant in the room
这篇社论基于特刊观察，指出需要新研究方法理解复杂动态现象，并探讨生成式AI作为生产力提升工具在定性、定量和参与式研究中的应用及挑战。
Emerging phenomena like the increasing volume and variety of available data, machine learning techniques, and, most recently, Generative AI are reshaping our research practices, affording new research methods for testing and developing theory. In this editorial, we discuss our two major observations from running the ‘Next-generation IS Research Methods’ Special Issue: (1) the need for research methods that enhance our understanding of complex and dynamic phenomena and (2) Generative AI as (potential) productivity enhancer. We compile these observations into an organizing framework and discuss possibilities for applying Generative AI in the fields of qualitative, quantitative, and engaged research. We highlight challenges that might occur when applying Generative AI in research and shed light on the changing role of researchers in such settings of human–AI collaboration.