Toward an organizational uncertainty principle
W.F. (Bill) Lawless
Chemistry & Physics, Augusta State University
James M. Grayson
James M. Hull College of Business, Augusta State University
Last modified: July 29, 2007
A future goal of building organizations or sytems from mixed teams of robots, humans and agent-based models (ABMs) is to design control methods based on first principles derived from human organizations or systems. While the failure of traditional organizational theory has forestalled that opportunity, it has also opened the way to innovative theories of organizations and change. Inspired by Bohr’s and Heisenberg’s application of their uncertainty principle to human action and observation, making social behavior and beliefs bistable, we have begun to construct an organizational theory based on the uncertainty principle for belief consensus--action and resources--time. In this paper, we provide a progress report on the development of the uncertainty principle based on stock market data. Our next goal is to develop metrics to control organizational performance that we have already begun to test in field studies. Our ultimate goal is to develop quantum ABMs set within social circuits as building blocks for an organization or system. Should we be successful, our research would represent a fundamental departure from traditional observational methods of social science by forming the basis of a more predictive science for operating organizations or systems. We expect that replacing the traditional method of observation with a more predictive science must account for when cognitive observations match social reality and when they do not (illusions).