Applying social network analysis to validate mass collaboration innovation drivers: An empirical study of NASA's International Space Apps Challenge

Senghore, Fatima; Campos-Náñez, Enrique; Fomin, Pavel; Wasek, James S.

doi:10.1016/j.jengtecman.2015.08.007

Cited by 11 publications

(5 citation statements)

References 38 publications

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“…SNA is “a specific set of linkages among a defined set of persons, with the additional property that the characteristics of these linkages as a whole may be used to interpret the social behavior of the person's involved” (Mitchell, 1969). It is a useful tool for analyzing the interactions between different individuals and groups (Wambeke et al , 2012; Senghore et al , 2015; Yu et al , 2017). Construction projects are a combination of social interaction and project collaboration and, therefore, their key stakeholders are viewed as an interdependent social network (Chinowsky et al , 2008).…”

Section: Methodsmentioning

confidence: 99%

Managing public–private partnerships: a transmission pattern of underlying dynamics determining project performance

Wang

Liu

et al. 2020

ECAM

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PurposeThe performance of public–private partnerships (PPPs) can be determined by a variety of factors, i.e. influencing factors (IFs). This study is undertaken for a purpose of identifying how such factors determine the project's performance (i.e. factor transmission patterns), particularly from the key stakeholders' perspectives.Design/methodology/approachA hybrid approach, which comprises a Social Network Analysis, ISM (i.e. Interpretive Structural Modeling) and an improved DEMATEL (i.e. Decision-Making Trail and Evaluation Laboratory), was developed to analyze the causal relationships between the identified IFs as well as the transmission patterns of their impacts on PPPs. Data were collected from interviews and questionnaire surveys.FindingsThe transmission patterns of the identified IFs cascade from project environment and features and stakeholders' relationship to the project company capabilities and project process. It is identified that the public authority has a higher level than that of the private entity in PPPs.Research limitations/implicationsIt lacks longitudinal studies to investigate the dynamics of PPP stakeholder relationships and social networks. Future research needs to explore the transmission patterns of sub-factors affecting PPP performance and extend the applicability of the developed hybrid approach.Practical implicationsThis research provides practitioners with a robust tool that is useful for and insights into enhancing the management of lifecycle performance. It ensures the public authorities and private entities embarking on PPPs will make an informed decision about the monitoring of the life cycle performance.Originality/valueThis study contributes to knowledge of managerial mechanisms that can be adopted to manage factors determining the performance of PPPs. It enables an understanding of stakeholders' roles in driving the life cycle performance of PPPs.

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Section: Methodsmentioning

confidence: 99%

Managing public–private partnerships: a transmission pattern of underlying dynamics determining project performance

Wang

Liu

et al. 2020

ECAM

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“…From the standpoint of SNA in three indicators of network density, network cohesion, and network centrality, Krätke (2010) investigated the structure and properties of regional knowledge networks. Senghore, Campos-Nanez, Fomin, and Wasek (2015) employed the SNA method to test whether three driver elements in competition, social interaction, and network vitality influence innovation. Tseng, Lin, Pai, and Tung (2016)used SNA to explore the relationship between the global semiconductor industry's innovation network and innovation capability.…”

Section: Application Of Social Network Analysis In Innovation Networkmentioning

confidence: 99%

Spatial spillover effects and driving factors of regional green innovation efficiency in china from a network perspective

Zhuang

Lin

Zhong

2022

Front. Environ. Sci.

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The spatial spillover effect of regional green innovation efficiency (GIE) is a heated issue of academic research; however, it has rarely been discussed from a network perspective. It is pretty meaningful to clarify its spatial association network’s evolutionary rules and driving factors. To fill the lack of research, this study measures the regional GIE in China from 2010 to 2019 using an epsilon-based metric (EBM) model that considers undesirable outputs. A modified gravity model and social network analysis (SNA) method are used to analyze the evolutionary rules and spatial spillover effects of the network structure of GIE, and a quadratic allocation process (QAP) was employed to identify its driving factors. The findings reveal that: 1) China’s regional GIE has a geographic correlation network structure with a low network density (peaking at 0.210 in 2018) and an annually increasing slow trend. 2) The network structure is relatively loose and has a certain hierarchical gradient, with “dense in the eastern” and “sparse in the western” characteristics. 3) The eastern provinces are at the relative center position and play a leading role in the network; the central, western, and northeastern regions are relatively inferior and play a fulcrum and conduction role. 4) Spatial adjacency, the differences in infrastructure, urbanization, and economic development level positively affect the spatially correlated regional GIE. In contrast, differences in environmental regulations and differences in science and technology innovation (STI) have negative effects. Finally, from the perspectives of national, regional, block, and driving factors, several recommendations are made to enhance the overall improvement and balanced development of regional GIE in China.

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“…In a recent study on mass collaboration innovation drivers based on data from Space Apps participation, the authors found that the intensity of competition in a challenge framework increases the level of innovative potential and output. 14 Still other conditions have contributed to NASA's pursuit of greater public participation in its work. NASA has long sought to connect with people around the globe as a means to inform and educate about its space and aeronautics activities --and the introduction of social media offered new tools to engage with new audiences and communities.…”

Section: Contributing Factorsmentioning

confidence: 99%

“…Using social network analysis from the first two years of Space Apps, they found increased vitality in terms of higher numbers of participants and project solutions at recurring locations; they also noted that geographic separation had no bearing on innovative output. 21 As Space Apps matured, the phenomenon of event success with recurring hosts was borne out. These hosts organized larger and more sophisticated events and stepped up to mentor new hosts, creating regional clusters of innovation.…”

Section: ) Hackathonsmentioning

confidence: 99%

NASA's Public Participation Universe: Why and How the U.S. Space Agency Is Democratizing Its Approaches to Innovation

Kaminski¹,

Buquo

Roman

et al. 2016

Aiaa Space 2016

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This paper analyzes NASA's increasing effort to invite greater public participation in its technoscientific work through open innovation methodologies. First we examine why NASA has expanded its use of these approaches, noting the roles of an intertwined set of forcing functions including budget constraints, the growth of scientific data, availability of technological resources, political climate, and committed individuals. Next we outline the strategies the agency has invoked to engage the public in research, technology development, and other activities to advance and shape NASA's mission. As we show, promoting greater public involvement has entailed facilitating the NASA workforce's familiarity with open innovation approaches as well as developing projects and creating outreach strategies appropriate to the envisioned participant base. We then discuss the wide variety of outcomes NASA's open innovation initiatives have yielded in support of NASA research and development objectives as well as benefits to participants and others. We conclude with a discussion of the remaining barriers to the use of open innovation techniques as a standard practice and the strategies in work to overcome those barriers so the full potential of a democratized approach to innovation can be realized.

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Applying social network analysis to validate mass collaboration innovation drivers: An empirical study of NASA's International Space Apps Challenge

Cited by 11 publications

References 38 publications

Managing public–private partnerships: a transmission pattern of underlying dynamics determining project performance

Managing public–private partnerships: a transmission pattern of underlying dynamics determining project performance

Spatial spillover effects and driving factors of regional green innovation efficiency in china from a network perspective

NASA's Public Participation Universe: Why and How the U.S. Space Agency Is Democratizing Its Approaches to Innovation

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