List of Articles حکمرانی شبکه&#172

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  1 - A dynamic capability approach on designing governance models in health care networks
  Alireza Aliahmadi Mohammadreza Rasouli
  The use of network business models to provide health services is a growing trend in the world's successful health systems. Forming and sustaining successful service delivery networks requires using the structures and mechanisms that address the health system characteris More

  The use of network business models to provide health services is a growing trend in the world's successful health systems. Forming and sustaining successful service delivery networks requires using the structures and mechanisms that address the health system characteristics, such as the asymmetry of the health market, as well as the need to guarantee the quality of services. In this paper, based on the dynamic capability approach, relevant structures and mechanisms have been identified that can make the ability to successfully governing service delivery networks in health systems. The effectiveness of identified structures and mechanisms have been evaluated using a case study within a clinical laboratory network in Tehran. Manuscript profile
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  2 - Internal structural and operational factors influencing on designing network governance model in health care systems: a systematic literature review
  Reza Aalikhani Alireza Aliahmadi Mohammadreza Rasouli
  Introduction: todays, with regard to competitive market in health system collaboration networked clllaboration has become an essensial strategy for the survival of organizations. Network governance that refers to coordination and collaboration in the network is a fundam More

  Introduction: todays, with regard to competitive market in health system collaboration networked clllaboration has become an essensial strategy for the survival of organizations. Network governance that refers to coordination and collaboration in the network is a fundamental concept that affect collaboration network success. There are various factors that affect designing successful model of network governance that considering this factors is critical for designing successful model of network governance. The aim of doing this research is identifying internal structural and operational factors that affects designing proper model of network governance in health care delivery systems. Methodology: to identify and extract desired factors used of the mentioned evidence in the literature related to research question. For this porpous we need a research methodology that comprehensively and systematically consider the literature. For achieving this aim a systematic literature review will consider as a comprehensive and systematic method for identifying valid evidence and related to the research question. Also, Grounded Theory method was used to synthesis the extracted evidence. Results: by searching in the WEB OF SCIENCE as a comprehensive and credible database for identifying related studies, the 2350 scientific publication resulted. By screening these results basis of title fitness with studies inclusion and exclusion criteria lead to select 150 articles. Finally, through screening described the 150 articles basis of their abstract and conclusion fitness lead to the 53 final articles that during the reviewing them the 78 pieces of evidences extracted from the 37 sources and did not identify any evidence from other studies. For creating extensive view and easy access to extracted evidences in the synthesizing step using granded theory, 2 categories and 16 classes emerged. Conclusion: designing governance model in the network will be successful if only internal structural and operational factors influencing on designing it have been considered. Structural and operational factors in the network include network characteristics and network administration characteristics, are influencing factors that considering these factors on designing proper model of governance lead to fitness of the goernance model with network characteristics that finally lead to collaboration network success. Manuscript profile