Abstract: The typical structure of the healthcare sector involves (specialist) intertwined practices co-occurring in formal or informal networks. These practices must answer to the concerns and needs of all related stakeholders. Multimorbidity and the need to share knowledge for scientific development are among the driving factors for collaboration in healthcare. To establish and keep up a permanent collaborative link, it takes effort and understanding of the network characteristics that must be governed. It is not hard to find practices of Network Governance (NG) in a variety of industries. Still, there is a lack of insight in this subject, including knowledge on how to establish and maintain an effective healthcare network. Consequently, this study's research question is: How is network governance organized in the healthcare sector? A systematic literature study was performed to select 80 NG articles. Based on these publications the characteristics of NG are made explicit. The findings demonstrate that combinations of governance style (relational versus contractual governance) and governance structure (lead versus shared governance) lead to different network dynamics. Furthermore, the results show that in order to comprehend how networks in the healthcare sector emerge and can be regulated, it is vital to understand the current network type. Additionally, it informs us of the governing factors. Zie https://www.hbo-kennisbank.nl/details/sharekit_han:oai:surfsharekit.nl:e4f8fa3a-4af8-42ef-b2dd-c86d77b4cec6
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IT-based networking trends such as the rise of social media, crowd sourcing, open innovation, and cloud computing enable a profoundly different way of working and collaborating that challenges significantly traditional approaches of companies towards governance, i.e. the mechanisms a company employs to achieving business results and safeguarding information. Standard practices developed with a hierarchical model of the company in mind, are inadequate for providing sufficient correlation between governance mechanisms deployed and results achieved. Popular literature on the subject states that dealing effectively with such new technologies in a business environment requires relinquishing control and subverting to trust. This paper makes the case that deploying successfully new IT-based networking tools rather involves shifting one’s trust from a well-established and well-known governance system based on hierarchy and control towards another governance system, termed in the literature as network governance. This paper assesses when network governance is the better suited governance system. The presented theoretical model helps to understand how companies should use arising new technologies and which tasks are suited for network-driven IT-applications. Furthermore, the model enables to understand how network governance works to achieve business results and to safeguard information exchanges.
IT-based networking trends such as the rise of social media, crowd sourcing, open innovation, and cloud computing enable a profoundly different way of working and collaborating that challenges significantly traditional approaches of companies towards governance, i.e. the mechanisms a company employs to achieving business results and safeguarding information. Standard practices developed with a hierarchical model of the company in mind, are inadequate for providing sufficient correlation between governance mechanisms deployed and results achieved. Popular literature on the subject states that dealing effectively with such new technologies in a business environment requires relinquishing control and subverting to trust. This paper makes the case that deploying successfully new IT-based networking tools rather involves shifting one’s trust from a well-established and well-known governance system based on hierarchy and control towards another governance system, termed in the literature as network governance. This paper assesses when network governance is the better suited governance system. The presented theoretical model helps to understand how companies should use arising new technologies and which tasks are suited for network-driven IT-applications. Furthermore, the model enables to understand how network governance works to achieve business results and to safeguard information exchanges.
