Interorganisational network governance in sport

Wäsche, Hagen; Gerke, Anna

doi:10.4337/9781786434821.00021

Cited by 10 publications

(10 citation statements)

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“…To analyze interorganizational networks, social network analysis (SNA) can be applied. SNA originated in sociology, has a tradition in many different research disciplines (psychology, political science, business, mathematics), and is now increasingly being used in public health, sports, and sport management research [ 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 ].…”

Section: Introductionmentioning

confidence: 99%

Interorganizational Networks in Physical Activity Promotion: A Systematic Review

Timm

Rapp

Jeuter

et al. 2021

IJERPH

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Public health challenges such as physical inactivity are multiplex and cannot be effectively addressed by single organizations or sectors. For this reason, public health policies have to involve various sectors and foster partnerships among organizations. Social network analysis (SNA) provides a methodological toolkit that enables the investigation of relationships between organizations to reveal information about the structure and cooperation within networks. This systematic review provides an overview of studies utilizing SNA to analyze the structure of networks that promote physical activity, including the structural set-up, types, and conditions of cooperation, the existence or absence of key actors, the characteristics of organizations working together, and potential barriers limiting collaboration. In total, eight eligible studies were identified. To evaluate the quality of these studies, a quality assessment tool for SNA was created. Relevant aspects from each study were systematically outlined using a data extraction template developed for network studies. The studies reported low to moderate density scores with many ties not being realized. Organizations tend to work side by side than as real partners, whereas organizations of the same type are more strongly connected. Most of the studies identified governmental health organizations as key players in their networks. Network maturity influences network outcomes. Shared goals and geographic proximity are potential facilitators for network development. For future research, more sophisticated methods and longitudinal studies are required to describe how networks, with the aim of promoting physical activity, develop and change to identify predicting factors for an effective network structure.

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Section: Introductionmentioning

confidence: 99%

Interorganizational Networks in Physical Activity Promotion: A Systematic Review

Timm

Rapp

Jeuter

et al. 2021

IJERPH

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“…While this is probably the first network that was analyzed this profoundly in the university setting on behalf of students' health, research from other fields allows concluding effective modes of network development and governance that can be applied in the context of a university. Goal-directed networks, such as the actor network of health-promoting universities, require a certain form of governance to utilize the benefits of cooperation among stakeholders ( 65 ). The network at hand shows characteristics of a “participant-governed” network, which is governed by virtually all involved units coordinating activities and making decisions (although stakeholders of the participatory health promotion project play a special role in it as a kind of “leading group”).…”

Section: Discussionmentioning

confidence: 99%

“…However, thought could still be given to whether a change in the governance approach might be useful. In “lead organization-governed” networks, for example, the network is led and coordinated by a legitimized central actor trusted by others ( 65 ). This form of governance also works with low commitment levels of the network members and is best suited for a moderate number of involved actors.…”

Section: Discussionmentioning

confidence: 99%

“…This form of governance also works with low commitment levels of the network members and is best suited for a moderate number of involved actors. To increase the efficiency of the network, a “network administrative organization” can also be considered, where governance is carried out externally by an independent unit, which is specifically set up to govern the network only ( 65 ). This approach best fits networks with moderate density and centralization, moderate to many network participants, and a moderately high goal consensus.…”

Section: Discussionmentioning

confidence: 99%

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Promoting Students' Health at University: Key Stakeholders, Cooperation, and Network Development

Bachert

Wäsche

Albrecht

et al. 2021

Front. Public Health

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Background: Cooperation among university units is considered a cornerstone for the promotion of students' health. The underlying mechanisms of health-promoting networks at universities have rarely been examined so far. Shedding light on partnerships is generally limited to the naming of allied actors in a network.Objectives and Methods: In this study, we used network analysis intending to visualize and describe the positions and characteristics of the network actors, and examine organizational relationships to determine the characteristics of the complete network.Results: The network analysis at hand provides in-depth insights into university structures promoting students' health comprising 33 organizational units and hundreds of ties. Both cooperation and communication network show a flat, non-hierarchical structure, which is reflected by its low centralization indices (39–43%) and short average distances (1.43–1.47) with low standard deviations (0.499–0.507), small diameter (3), and the non-existence of subgroups. Density lies between 0.53 and 0.57. According to the respondents, the University Sports Center is considered the most important actor in the context of students' health. Presidium and Institute of Sport and Sports Science play an integral role in terms of network functionality.Conclusion: In the health-promoting network, numerous opportunities for further integration and interaction of actors exist. Indications for transferring results to other universities are discussed. Network analysis enables universities to profoundly analyze their health-promoting structures, which is the basis for sustained network governance and development.

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“…There is also a methodological contribution, in combining social network analysis (SNA) and qualitative themed interviews. This solution is rarely used in sport social sciences [ 24 , 25 , 26 ], despite the research concerning SNA in sport social science is increasing [ 27 ].…”

Section: Introductionmentioning

confidence: 99%

How Do Networks Reflect Collaborative Governance? The Case of a Sport Policy Program

Lehtonen

Uusikylä

2021

IJERPH

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This study examines the extent to which collaborative governance thinking is realized in a government-funded sport policy program. Our main argument is that this conversion requires the analysis and interpretation of meso-governance and related networks. In the analysis of meso-level sports policy governance networks, we apply social network analysis and theme interviews. The empirical analysis conducted in this study involves the network-based structure of the Finnish Schools on the Move (FSM) program, which was implemented in Finland from 2009 to 2018. Our research questions are as follows: (1) How have the nature and network structure of the program changed throughout the implementation of the program? (2) How is the collaborative governance thinking reflected in the design and implementation of the FSM program? This study shows that the network is the most significant intermediary structure at the policy and organizational levels. Particularly, it was important in the start-up phase of the program, when the main task of the network was to bring together different actors and to generate a common vision. By the end of the program’s funding, the structure of the network became centralized, with decreasing density. However, the analysis shows that collaborative governance thinking is mainly reflected in implementation, rather than in the genuine joint planning of activities.

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Interorganisational network governance in sport

Cited by 10 publications

References 0 publications

Interorganizational Networks in Physical Activity Promotion: A Systematic Review

Interorganizational Networks in Physical Activity Promotion: A Systematic Review

Promoting Students' Health at University: Key Stakeholders, Cooperation, and Network Development

How Do Networks Reflect Collaborative Governance? The Case of a Sport Policy Program

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