In this multi-method study, we combine a longitudinal field study and agent-based modeling to examine the social construction process of user beliefs of collaborative technology over time. We argue that the primary methods in the technology acceptance literature—variance-based analysis and interpretive case study—are limited in understanding the reciprocal social influence process inherent to user beliefs of collaborative technology. Drawing on Bijker’s (1995) social construction of technology theory and Salancik and Pfeffer’s (1978) social information processing theory, research questions regarding the social construction of user beliefs are developed. We describe the longitudinal field study and agent-based modeling employed for answering the research questions. The future steps of this research-in-progress are outlined. We discuss the implications of this study at the end.