TY - GEN

T1 - Investigating Relationship Conflict within the Social Network of Large IS Projects using a SIR Model

AU - Tang, Yuyang

AU - Williams, Richard

PY - 2023/8/28

Y1 - 2023/8/28

N2 - In large corporate organisations, significant business transformation initiatives are often implemented using large IS and IT projects that involve multiple third-party providers. These are often structured around multi-partner project teams that align to the various functional and technical aspects of the new system, incorporating a diversity of members within each project team, which frequently results in conflicts that spread across the social network of the implementation programme. While several studies on conflict in project teams have been published, to the best of our knowledge, there are no visual simulations that allow observers to examine the underlying social relationships and system dynamics. As a result, we believe exploring the process of conflict propagation through computa- tional modelling will become a critical component of the study of conflict management. A common approach for modelling complex systems is agent-based modelling and simulation, which enables complex emergent behaviours to emerge at the system- level through simple rule-based interactions at the individual agent-level. We developed an agent-based model of conflict that incorporporated the Susceptible-Infectious-Removed model from epidemiology, in order investigate the propagation of conflict in a large IS implementation. Conflict is viewed as an infection, and the process of post-conflict management as patient recovery. We illustrate the model’s validity in reality and the results demonstrate that regardless of the magnitude of the conflict, if it is not adequately handled at the start, it may rapidly spread throughout the network.

AB - In large corporate organisations, significant business transformation initiatives are often implemented using large IS and IT projects that involve multiple third-party providers. These are often structured around multi-partner project teams that align to the various functional and technical aspects of the new system, incorporating a diversity of members within each project team, which frequently results in conflicts that spread across the social network of the implementation programme. While several studies on conflict in project teams have been published, to the best of our knowledge, there are no visual simulations that allow observers to examine the underlying social relationships and system dynamics. As a result, we believe exploring the process of conflict propagation through computa- tional modelling will become a critical component of the study of conflict management. A common approach for modelling complex systems is agent-based modelling and simulation, which enables complex emergent behaviours to emerge at the system- level through simple rule-based interactions at the individual agent-level. We developed an agent-based model of conflict that incorporporated the Susceptible-Infectious-Removed model from epidemiology, in order investigate the propagation of conflict in a large IS implementation. Conflict is viewed as an infection, and the process of post-conflict management as patient recovery. We illustrate the model’s validity in reality and the results demonstrate that regardless of the magnitude of the conflict, if it is not adequately handled at the start, it may rapidly spread throughout the network.

KW - Agent-Based Model

KW - Relationship Conflict

KW - Information System Projects

KW - Project Social Network

KW - SIR Model

U2 - 10.1109/ISTAS55053.2022.10227113

DO - 10.1109/ISTAS55053.2022.10227113

M3 - Conference contribution/Paper

SN - 9781665484114

BT - 2022 IEEE International Symposium on Technology and Society (ISTAS)

PB - IEEE

T2 - IEEE International Symposium on Technology and Society 2022

Y2 - 10 November 2022 through 12 November 2022

ER -