Volume 26, Issue 3 (1-2024)
jha 2024, 26(3): 9-28 |
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karimi takalo S, salmannejad M, dehmoubed sharifabadi B. Modeling and Scenario Analysis of Digital Innovation in the Healthcare Sector: A Case Study. jha 2024; 26 (3) :9-28
URL: http://jha.iums.ac.ir/article-1-4414-en.html
URL: http://jha.iums.ac.ir/article-1-4414-en.html
1- Assistant Professor, Department of Management, Faculty of Administrative Sciences and Economics, Vali-e-Asr university of Rafsanjan, Rafsanjan
2- Ph.D., Department of Industrial Management, Faculty of Economics, Management & Accounting, Yazd University, Yazd ,229.salman@gmail.com
3- Ph.D., Department of Management, Faculty of Management, University of Tehran, Tehran
2- Ph.D., Department of Industrial Management, Faculty of Economics, Management & Accounting, Yazd University, Yazd ,
3- Ph.D., Department of Management, Faculty of Management, University of Tehran, Tehran
Abstract: (1495 Views)
Introduction: Digitalization has become a crucial factor driving innovation in companies, research centers, and governmental organizations. This study aimed to identify the drivers of digital innovation, map the relationships between them, and analyze the effective routes of these drivers within governmental hospitals in Rafsanjan.
Methods: This research is pragmatic in its purpose and employs a descriptive survey for data collection, conducted in 1402. The study's population comprised experts from governmental hospitals in Rafsanjan, with a sample of 12 experts selected through the snowball method. The data's validity was confirmed using the content validity ratio index. Data analysis was performed using the fuzzy cognitive mapping method, supported by Fcmapper, Pajek, and Excel software.
Results: The study identified 12 key factors driving digital innovation in governmental hospitals. Fuzzy cognitive map analysis revealed that senior management support, with a coefficient of 1.57, exerted the most influence. Meanwhile, the organization's digital capacity, with a coefficient of 3.24, was found to have the greatest influence. Additionally, the organization's digital capacity, with a coefficient of 3.89, exhibited the highest centrality. This research contributes by identifying key digital innovation factors, establishing causal relationships among these factors, and determining the primary factors influencing others through various digital innovation scenarios within governmental hospitals.
Conclusion: Based on scenario analysis findings encompassing 12 drivers and understanding the causal relationships among them, it is recommended that hospital authorities prioritize the "needs of citizens" driver to foster digital innovation.
Methods: This research is pragmatic in its purpose and employs a descriptive survey for data collection, conducted in 1402. The study's population comprised experts from governmental hospitals in Rafsanjan, with a sample of 12 experts selected through the snowball method. The data's validity was confirmed using the content validity ratio index. Data analysis was performed using the fuzzy cognitive mapping method, supported by Fcmapper, Pajek, and Excel software.
Results: The study identified 12 key factors driving digital innovation in governmental hospitals. Fuzzy cognitive map analysis revealed that senior management support, with a coefficient of 1.57, exerted the most influence. Meanwhile, the organization's digital capacity, with a coefficient of 3.24, was found to have the greatest influence. Additionally, the organization's digital capacity, with a coefficient of 3.89, exhibited the highest centrality. This research contributes by identifying key digital innovation factors, establishing causal relationships among these factors, and determining the primary factors influencing others through various digital innovation scenarios within governmental hospitals.
Conclusion: Based on scenario analysis findings encompassing 12 drivers and understanding the causal relationships among them, it is recommended that hospital authorities prioritize the "needs of citizens" driver to foster digital innovation.
Type of Study: Research |
Subject:
Health Information Management
Received: 2023/06/16 | Accepted: 2023/09/20 | Published: 2024/02/4
Received: 2023/06/16 | Accepted: 2023/09/20 | Published: 2024/02/4
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