Supplementary Materials for the Study "Effects of Digital Leadership on Construction Project Performance: A Mixed Methods Study"

This dataset comprises the supplementary materials associated with the research paper titled "Effects of Digital Leadership on Construction Project Performance: A Mixed Methods Study." It provides detailed documentation supporting the methodology, measurement instruments, and analytical procedures employed in the study. The supplementary materials include: Appendix A: Construct Measurement Indicators, Validity, and Reliability: Presents the measurement items, factor loadings, average variance extracted (AVE), composite reliability (CR), Cronbach's alpha coefficients, Kaiser-Meyer-Olkin (KMO) values, and cumulative variance explained for each of the five core constructs examined in the study: Digital Leadership, Thriving at Work, Ambidextrous Capability, Environmental Dynamics, and Project Performance. Literature sources for each scale are also indicated. Appendix B: Semi-Structured Interview Protocol: Contains the interview guide used in the qualitative phase of the mixed-methods study. The protocol includes seven open-ended questions designed to explore participants' perceptions of digital leadership, its influence on employee thriving and organizational ambidexterity, its impact on project performance, and the role of environmental dynamism. Appendix C: Rotated Factor Matrix from Exploratory Factor Analysis: Provides the full results of the exploratory factor analysis (EFA), including factor loadings for all 19 measurement items across the five extracted factors, along with the explained variance and cumulative variance contributions. Appendix D: Discriminant Validity Analysis: Displays the discriminant validity assessment results, presenting the square root of the average variance extracted (AVE) for each construct (on the diagonal) alongside the inter-construct correlations. Appendix E: Comparative Model Fit Indices in Confirmatory Factor Analysis: Compares the goodness-of-fit indices for the hypothesized five-factor measurement model against several alternative nested models, supporting the structural validity and robustness of the measurement model. References: Lists the full citations for all literature sources referenced in the supplementary materials. This dataset is essential for replicating the study’s analytical procedures, validating the measurement model, and understanding the methodological rigor underlying the findings of the research on digital leadership in construction project management. The materials are provided in a structured format to facilitate transparency, reproducibility, and further scholarly inquiry.