Digital Twin Maintenance Management Adoption in Nigerian Healthcare Facilities: Modelling the Key Success Factors
摘要
A critical approach to improving the maintenance management of hospital buildings is to engage the fourth industrial revolution (4IR) tools, which involve a framework that supports cyber-physical integration. Hence, this study aims to model the key adoption success factors of digital twin technology for the maintenance management of healthcare facilities in Nigeria. Following Delphi expert validation of the variables, the post-positivist philosophical perspective adopted in this study informed a quantitative research approach, which utilized a questionnaire survey. Using a purposive sampling technique, 442 respondents were selected from the Nigerian healthcare sector. Maintenance personnel, top management staff, and heads of departments in Nigerian hospitals were the respondents. Confirmatory factor analysis (CFA) using the SEM technique was used for data analysis to validate the expert findings. The CFA showed that the residual covariance estimates were within a reasonable range. Additionally, all parameter estimates for the eight (8) indicator variables were statistically significant and practicable, and the robust fit indices all met the cut-off index criteria. Considering these criteria, it was determined that the measurement model for DTMM adoption success factors adequately matched the sample data. The eight indicator variables for the success factors construct were: Provide training workshops for personnel, engage professionals in maintenance, provide support for maintenance staffers, Functional maintenance units, adopt good maintenance management practices, adopt maintenance software, plan to relocate resources effectively, and provide sufficient funds. The study enlightens healthcare stakeholders on the key strategies for efficient management of their constructed facilities.