Is a Core-Periphery Network Good for Knowledge Sharing?  A Structural Model of Endogenous Network Formation on a Crowdsourced Customer Support Forum

Lu, Yingda; Singh, Param Vir; Sun, Baohong

doi:10.25300/misq/2017/41.2.12

Cited by 32 publications

(13 citation statements)

References 36 publications

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“…A third limitation is that the Onion model has only been validated in the context of contributions which can be readily mined-that is, code submissions, bug reports and mailing lists-and has not been evaluated to determine if it also describes other types of activities within FLOSS communities [43]. The core-periphery structure has been shown to be suboptimal in companies for the tasks of globally distributed activities such as support [57] and R&D [58]; therefore it is possible that non-coding activities in FLOSS communities do not follow the core-periphery pattern found in code contributions. For example, some communities have very hierarchical communication structures [59].…”

Section: Limitations Of the Onion Modelmentioning

confidence: 99%

Uncovering the Periphery: A Qualitative Survey of Episodic Volunteering in Free/Libre and Open Source Software Communities

Barcomb

Kaufmann

Riehle

et al. 2020

IIEEE Trans. Software Eng.

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Free/Libre and Open Source Software (FLOSS) communities are composed, in part, of volunteers, many of whom contribute infrequently. However, these infrequent volunteers contribute to the sustainability of FLOSS projects, and should ideally be encouraged to continue participating, even if they cannot be persuaded to contribute regularly. Infrequent contributions are part of a trend which has been widely observed in other sectors of volunteering, where it has been termed "episodic volunteering" (EV). Previous FLOSS research has focused on the Onion model, differentiating core and peripheral developers, with the latter considered as a homogeneous group. We argue this is too simplistic, given the size of the periphery group and the myriad of valuable activities they perform beyond coding. Our exploratory qualitative survey of 13 FLOSS communities investigated what episodic volunteering looks like in a FLOSS context. EV is widespread in FLOSS communities, although not specifically managed. We suggest several recommendations for managing EV based on a framework drawn from the volunteering literature. Also, episodic volunteers make a wide range of value-added contributions other than code, and they should neither be expected nor coerced into becoming habitual volunteers.

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Section: Limitations Of the Onion Modelmentioning

confidence: 99%

Uncovering the Periphery: A Qualitative Survey of Episodic Volunteering in Free/Libre and Open Source Software Communities

Barcomb

Kaufmann

Riehle

et al. 2020

IIEEE Trans. Software Eng.

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“…In terms of platform perspective, much can be done to encourage innovation diffusion: Detached, loose contact between individuals and complementors may in the long run function as an important mechanism for innovation diffusion. Others contend that innovation diffusion could be facilitated by close linkages within the platform by individuals being more familiar with certain complementors and more inclined to adopt and discuss ideas openly (Lau et al, 2010;Lu et al, 2017;Tarute et al, 2017). As such, one potential research question could be related to whether platform design could facilitate innovation diffusion by simultaneously maintaining weak linkages with regard to having unified feedback collection on the platform, while reinforcing close linkages with regard to having more frequent interactions between individuals and complementors.…”

Section: • How Does Communal Dynamic Feed Back Into Open Innovation P...mentioning

confidence: 99%

“…Others contend that innovation diffusion could be facilitated by close linkages within the platform by individuals being more familiar with certain complementors and more inclined to adopt and discuss ideas openly (Lau et al. , 2010; Lu et al. , 2017; Tarute et al.…”

Section: A Research Agenda For Open Innovation: Towards a Comprehensi...mentioning

confidence: 99%

Towards an evolutionary view of innovation diffusion in open innovation ecosystems

Xiong

Lim

Tan

et al. 2022

IMDS

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PurposeThe concept of open innovation has captured the attention of both academics and practitioners alike. However, there is a dearth of research on how innovations can be diffused within open innovation ecosystems, a critical condition for the sustainability of such ecosystems. In this regard, the study advances a research agenda for guiding future inquiries into innovation diffusion within open innovation ecosystems.Design/methodology/approachBased on a systematic review of the extant literature on open innovation, this article identifies knowledge gaps in innovation diffusion, along with recommendations for bridging these gaps in the future. The study advocates that future research should consider not only innovation generation processes, but also innovation diffusion processes, especially in light of the growing application of open innovation in the context of digital goods and services.FindingsSubscribing to an evolutionary view of innovation diffusion, the article draws on a five-phase framework – knowledge, persuasion, decision, implementation, and confirmation – to illustrate the roles played by three distinct yet interconnected parties (i.e. platforms, complementors, and individuals) within open innovation ecosystems as well as the research opportunities it brings.Originality/valueThe article examines the critical, yet underexplored role of innovation diffusion in sustaining open innovation ecosystems and outlines potential research avenues that can contribute to growing the understanding of the innovation diffusion process.

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“…Technical functions and managerial practices on platforms (e.g., system designs, task recommendation and allocation systems, gamification mechanisms, contribution mechanisms, intellectual property management, and contributor gatekeeping) can also affect how individuals behave [40]- [42]. Peers can generate impacts regarding ways of co-working as teams, competing with each other, and obtaining social standing in virtual communities [43]- [45]. On this basis, a crowdsourcer can elaborate a mix of incentives and practices to impact the engagement of individuals.…”

Section: A Crowdmentioning

confidence: 99%

A Typology of Crowd Configurations Based on Crowd Attributes and Their Impacts on Crowdsourcing Outcomes

2022

IEEE Access

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Crowdsourcing, as a crowd-centered approach, is becoming increasingly popular for organizations to conduct outsourcing, research and development (R&D), and marketing. The effectiveness of a crowdsourcing initiative, as manifested in specific outcomes, depends significantly on the salient characteristics of the configured crowd. This study aims to investigate which business purposes necessitate which crowds with which characteristics. Contributions of this study include: 1) defining a crowd in crowdsourcing by distinguishing the roles of individuals, 2) introducing and defining three crowd attributes to depict the salient characteristics of a crowd, and 3) proposing a typology of eight crowd configurations by combining high or low levels of the three crowd attributes and examining each crowd configuration to highlight the relationships between crowd attributes and crowdsourcing outcomes. Eight mini cases corresponding to the eight crowd configurations are presented to illustrate how crowd configurations were implemented in real-life situations. The theoretical and practical implications are discussed respectively.

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Is a Core-Periphery Network Good for Knowledge Sharing? A Structural Model of Endogenous Network Formation on a Crowdsourced Customer Support Forum

Cited by 32 publications

References 36 publications

Uncovering the Periphery: A Qualitative Survey of Episodic Volunteering in Free/Libre and Open Source Software Communities

Uncovering the Periphery: A Qualitative Survey of Episodic Volunteering in Free/Libre and Open Source Software Communities

Towards an evolutionary view of innovation diffusion in open innovation ecosystems

A Typology of Crowd Configurations Based on Crowd Attributes and Their Impacts on Crowdsourcing Outcomes

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