Stochastic Consensus Simulation for Organizational Cooperation

This paper delves into the intricacies of consensus processes within project teams, shedding light on determinants such as group size and the role of artefacts. By deploying both a simulation and a mathematical model, the study unfolds insights into the temporal and resource dynamics essential for consensus formation. Notably, for smaller teams, the quadratic dependence on team size underscores the complexities inherent in achieving consensus. In contrast, larger teams exhibit a linear relationship, hinting at a more scalable consensus process. The investigation introduces the influence of artefacts, emphasizing the significance it plays in streamlining consensus efforts. A noteworthy revelation is the substantial reduction, over 30%, in consensus time with the use of artefacts, underscoring their impact on communication and collaboration within teams. This finding underscores the pragmatic importance of well-structured documentation and artefacts in expediting consensus-building processes. Historic project failures often attributed to prolonged and intricate consensus processes. This research contributes valuable insights for project managers. By elucidating the interplay between team size, artefacts, and consensus, the study provides a nuanced understanding of project dynamics. This understanding, grounded in both simulation and mathematical models, offers practical guidance for project management strategies, enabling tailored approaches based on team size and organizational structure. Ultimately, this research advances the discourse on effective project management by unraveling the complexities of consensus processes and illuminating the transformative impact of artefacts.