TY - JOUR
T1 - Causal factors of low stakeholder engagement
T2 - A survey of expert opinions in the context of healthcare simulation projects
AU - Jahangirian, Mohsen
AU - Borsci, Simone
AU - Shah, Syed Ghulam Sarwar
AU - Taylor, Simon J.E.
PY - 2015
Y1 - 2015
N2 - While simulation methods have proved to be very effective in identifying efficiency gains, low stakeholder engagement creates a significant limitation on the achievement of simulation modeling projects in practice. This study reports causal factors—at two hierarchical levels (i.e., primary and secondary)—that could significantly affect low stakeholder engagement in healthcare simulation projects. A self-completed questionnaire was administered online to 91 experts in the field from whom 37 responded. The results were reinforced using a bootstrapped sample (n = 1000). Data were analyzed using descriptive statistics, Kendal’s tau-b correlations, and non-linear multiple regression. Based on our research, while such factors as “communication gap”, “stakeholders’ high workload”, and “too much complexity involved” represent the most significant primary causal factors, some others such as “reluctance to change” proved interestingly insignificant. The research suggests that high-impact public health projects can exemplify the areas that will potentially generate engagement in the healthcare simulation domain.
AB - While simulation methods have proved to be very effective in identifying efficiency gains, low stakeholder engagement creates a significant limitation on the achievement of simulation modeling projects in practice. This study reports causal factors—at two hierarchical levels (i.e., primary and secondary)—that could significantly affect low stakeholder engagement in healthcare simulation projects. A self-completed questionnaire was administered online to 91 experts in the field from whom 37 responded. The results were reinforced using a bootstrapped sample (n = 1000). Data were analyzed using descriptive statistics, Kendal’s tau-b correlations, and non-linear multiple regression. Based on our research, while such factors as “communication gap”, “stakeholders’ high workload”, and “too much complexity involved” represent the most significant primary causal factors, some others such as “reluctance to change” proved interestingly insignificant. The research suggests that high-impact public health projects can exemplify the areas that will potentially generate engagement in the healthcare simulation domain.
KW - Causal factors
KW - Healthcare
KW - Simulation project
KW - Stakeholder engagement
KW - Survey
KW - n/a OA procedure
UR - http://www.scopus.com/inward/record.url?scp=84930856570&partnerID=8YFLogxK
U2 - 10.1177/0037549715583150
DO - 10.1177/0037549715583150
M3 - Article
AN - SCOPUS:84930856570
SN - 0037-5497
VL - 91
SP - 511
EP - 526
JO - Simulation : transactions of the Society for Modeling and Simulation International
JF - Simulation : transactions of the Society for Modeling and Simulation International
IS - 6
ER -