Open-source projects as incubators of innovation: From niche phenomenon to integral part of the industry

Schrape, Jan-Felix

doi:10.1177/1354856517735795

Cited by 21 publications

(5 citation statements)

References 57 publications

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“…It also harvests open-source software code. It sometimes sponsors open software initiatives like the Linux Foundation in order to remain close to open source ecosystems and to profit from the ideas and knowledge of the open source community (Schrape, 2017).…”

Section: Amazon's Intellectual Rent Predation From Innovation Networkmentioning

confidence: 99%

Amazon: A story of accumulation through intellectual rentiership and predation

Rikap

2020

Competition & Change

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This article elaborates on intellectual monopoly theory as a form of predation and rentiership using Amazon as a case study. By analysing Amazon’s financial statements, scientific publications and patents, we show that Amazon’s economic power heavily relies on its systematic innovations and capacity to centralize and analyse customized data that orients its business and innovations. We demonstrate how Amazon’s innovation activities have evolved over time with growing importance of technologies related to data and machine learning. We also map Amazon’s innovation networks with academic institutions and companies. We show how Amazon appropriates intellectual rents from these networks and from technological cooperation with other intellectual monopolies. We argue that Amazon, as other data-driven monopolies, predates value from suppliers and third-party companies participating in its platform. One striking characteristic of Amazon is the low rate of reported profits. The centrality of innovations leads us to suggest an alternative calculation that shows that Amazon’s profits are not as low as they appear in Annual Reports. We also argue that lower profits are coherent with Amazon’s rentiership and predatory strategy since they contribute to the avoidance of accusations of excessive market power. Finally, the paper offers preliminary observations on: (i) the complementarities between financial and intellectual rentierism and (ii) how data-driven intellectual monopoly expands big corporations’ political power. Going beyond the specific case of Amazon, we thus contribute to a better understanding of the role of lead firms and power dynamics within innovation networks.

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Section: Amazon's Intellectual Rent Predation From Innovation Networkmentioning

confidence: 99%

Amazon: A story of accumulation through intellectual rentiership and predation

Rikap

2020

Competition & Change

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“…Users and funders are sometimes not aware of governance issues. To understand a software project, one should situate it within diverse types of social structure 6 . Moreover, governance should include both developer and user communities, because their perspectives and priorities often differ considerably.…”

Section: Embedded Theorymentioning

confidence: 99%

Software in science is ubiquitous yet overlooked

Hocquet,

Wieber,

Gramelsberger

et al. 2024

Nat Comput Sci

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“…A graphical user interface is provided to access the various features of the software, as compared to a programmatic approach for building custom routines. The software is not open-source, which implicitly limits its development to a core set of maintainers and is not freely accessible to the broader community [e.g., 21 ]. Similar platforms are available from companies that manufacture data loggers (e.g., YSI, HOBO), all of which are specific to the monitoring equipment and not broadly transferable.…”

Section: Introductionmentioning

confidence: 99%

MassWateR: Improving quality control, analysis, and sharing of water quality data

Beck,

Wetherill,

Carr

2023

PLoS ONE

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The long-term protection and restoration of aquatic resources depends on robust monitoring data; data that require systematic quality control and analysis tools. The MassWateR R package facilitates quality control, analysis, and data sharing for discrete surface water quality data collected by monitoring programs of various size and technical capacity. The tools were developed to address regional needs for programs in Massachusetts, USA, but the principles and outputs can be applicable to monitoring data collected anywhere. Users can create quality control reports, perform outlier analyses, and assess trends by season, date, and site for more than 40 parameters. Users can also prepare data for submission to the United States Environmental Protection Agency Water Quality Exchange, thus sharing data to the largest water quality database in the United States. The automated and reproducible workflow offered by MassWateR is expected to increase the quantity and quality of publicly available data to support the management of aquatic resources.

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Open-source projects as incubators of innovation: From niche phenomenon to integral part of the industry

Cited by 21 publications

References 57 publications

Amazon: A story of accumulation through intellectual rentiership and predation

Amazon: A story of accumulation through intellectual rentiership and predation

Software in science is ubiquitous yet overlooked

MassWateR: Improving quality control, analysis, and sharing of water quality data

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