Procedia Computer Science
100
p. 840-847
Doi:
https://doi.org/10.1016/j.procs.2016.09.233
Project performance is contingent upon the continuous ability of key decision-makers to collaborate effectively when solving
emerging complex problems. In settings of large and complex projects, the ability to make sound decisions collectively across
multiple tasks and phases increases in importance.
Experimental studies have pointed to the existence of collective intelligence, i.e. the ability of groups to perform well across a
variety of tasks. Nevertheless, we are not close to a process theory that clarifies why and how some groups are more ‘intelligent’
than are others, i.e. why and how they are better at solving a variety of complex problems. In order to answer these questions, we
conduct an exploratory study of the drivers and manifestations of collective intelligence among a group of key decision makers in
a large and dynamically complex project. The study reveals how these decision makers in general demonstrate a collective ability
to solve a wide range of emerging problems in this project. This problem solving ability is characterized by very short and direct
(face to face) lines of communication, the combination of divergent and convergent modes of thought, and small subgroups that
are formed spontaneously dependent on the problem at hand and the expertise required to solve it.
Keywords: project management, dynamic complexity, collective intelligence, judgement, decision-making, problem solving
