Objectives: The purposes of this study were to utilize Resource-Based Theory (RBT) to determine which important resources hospitals should cultivate in order to enhance the performance of Picture Archiving and Communication Systems (PACS) and to verify whether PACS lead to better radiology department performance. Methods: A total of 350 questionnaires was sent to 18 medical centers; 181 valid responses were received. The main respondents were radiographers. The collected data were analyzed by the utilization of Structural Equation Modeling to validate the research model. Results: PACS infrastructure (γ=0.70, α<0.01), human resources (γ=0.53, α<0.01), and business resources (γ=-0.51, α<0.05) were found to predict PACS performance, whereas vendor resources did not. PACS performance (β=0.68, α<0.01), in turn, predicted radiology department performance. The R^2 values for PACS performance and radiology department performance were 0.48 and 0.46, respectively. Conclusions: The results indicated that the process of reengineering to accompany the adoption of PACS should be implemented gradually. Managers should cultivate the appropriate resources in their hospitals after identifying those that they consider their strengths and weaknesses in order to gain a competitive advantage.
Objectives: The purposes of this study were to utilize Resource-Based Theory (RBT) to determine which important resources hospitals should cultivate in order to enhance the performance of Picture Archiving and Communication Systems (PACS) and to verify whether PACS lead to better radiology department performance. Methods: A total of 350 questionnaires was sent to 18 medical centers; 181 valid responses were received. The main respondents were radiographers. The collected data were analyzed by the utilization of Structural Equation Modeling to validate the research model. Results: PACS infrastructure (γ=0.70, α<0.01), human resources (γ=0.53, α<0.01), and business resources (γ=-0.51, α<0.05) were found to predict PACS performance, whereas vendor resources did not. PACS performance (β=0.68, α<0.01), in turn, predicted radiology department performance. The R^2 values for PACS performance and radiology department performance were 0.48 and 0.46, respectively. Conclusions: The results indicated that the process of reengineering to accompany the adoption of PACS should be implemented gradually. Managers should cultivate the appropriate resources in their hospitals after identifying those that they consider their strengths and weaknesses in order to gain a competitive advantage.