Distributed Governance in Multi-sided Platforms: A Conceptual Framework from Case: Bitcoin

Mattila, Juri; Seppälä, Timo

doi:10.1007/978-981-10-8956-5_10

Cited by 12 publications

(14 citation statements)

References 41 publications

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“…Thereby, each customer group represents one side in this market (Theurl and Meyer 2019). Multi-sided platforms support two or more different groups to find each other and interact (Evans and Schmalensee 2016) and "…typically comprise a stable core, a dynamic set of complementary assets and the design rules acting as interfaces between them" (Mattila and Seppälä 2018).…”

Section: Community Of Different Actors [P01]mentioning

confidence: 99%

Understanding token-based ecosystems – a taxonomy of blockchain-based business models of start-ups

2020

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Start-ups in the blockchain context generate millions by means of initial coin offerings (ICOs). Many of these crowdfunding endeavours are very successful, others are not. However, despite the increasing investments in ICOs, there is still neither sufficient theoretical knowledge nor a comprehensive understanding of the different types of business models and the implications for these token-based ecosystems. Scientific research equally lacks a thorough understanding of the different business model forms and their influence on collaboration in token-based economies. We bridge this gap by presenting a taxonomy of realworld blockchain-based start-ups. For this taxonomy, we used 195 start-ups and performed a cluster-analysis in order to identify three different archetypes and thus gain a deeper understanding. Our taxonomy and the archetypes can equally be seen as strategic guidance for practitioners as well as a starting point for future research concerning the token-based business models.

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Section: Community Of Different Actors [P01]mentioning

confidence: 99%

Understanding token-based ecosystems – a taxonomy of blockchain-based business models of start-ups

2020

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“…Während neuronale Netze meist eine Blackbox darstellen, soll durch Explainable Artificial Intelligence Transparenz und eine Kausalität in den automatisierten Prozessen sowie Verarbeitung der Daten für die Entscheidungsfindung geschaffen werden (Hagras 2018 ). In diesem Kontext wird häufig auch von Digital Trust gesprochen – dem Vertrauen in der digitalen Verarbeitung der eigenen Daten und Angelegenheiten (Mattila und Seppälä 2016 ) – eine wesentliche Anforderung für künftige Robotersysteme.…”

Section: Diskussion Und Ausblickunclassified

Robotik in der Wirtschaftsinformatik

D’Onofrio¹,

Meinhardt

2020

HMD

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Im privaten und beruflichen Umfeld sind wir von Technologien umgeben und interagieren täglich mit ihnen. Das Smartphone ist unser täglicher Begleiter, hilfreiche digitale Haushaltshilfen wie Saugroboter sind in jedem Haushalt vertreten und die meisten von uns haben bereits versucht mit Chatbots zu kommunizieren. Auch in der Industrie wird vermehrt den Einsatz von Technologien genutzt, um etwa grosse Objekte wie Fahrzeuge mithilfe von Robotern zu bauen. Industrie- und Servicerobotern nehmen also an Bedeutung zu. Robotik ist ein umfangreiches Thema. Daher führt dieser Beitrag den Begriff Robotik aus Sicht der Wirtschaftsinformatik ein, geht auf die verschiedenen Robotertypen ein und beschreibt das Robotic Process Automation, das insbesondere in der Wirtschaftsinformatik Anwendung findet. Der Beitrag schliesst mit einer Diskussion über die Potenziale der Robotik.

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“…Today's public blockchains and many other DLTs do not support changing the underlying algorithms. Furthermore, it is very unlikely that they would even in the near future, due to their inflexible governance models [59].…”

Section: Other Challengesmentioning

confidence: 99%

Interledger for the Industrial Internet of Things

Nikander

Autiosalo

Paavolainen

2019

2019 IEEE 17th International Conference on Industrial Informatics (INDIN)

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The upsurge of Industrial Internet of Things is forcing industrial information systems to enable less hierarchical information flow. The connections between humans, devices, and their digital twins are growing in numbers, creating a need for new kind of security and trust solutions. To address these needs, industries are applying distributed ledger technologies, aka blockchains. A significant number of use cases have been studied in the sectors of logistics, energy markets, smart grid security, and food safety, with frequently reported benefits in transparency, reduced costs, and disintermediation. However, distributed ledger technologies have challenges with transaction throughput, latency, and resource requirements, which render the technology unusable in many cases, particularly with constrained Internet of Things devices.To overcome these challenges within the Industrial Internet of Things, we suggest a set of interledger approaches that enable trusted information exchange across different ledgers and constrained devices. With these approaches, the technically most suitable ledger technology can be selected for each use case while simultaneously enjoying the benefits of the most widespread ledger implementations. We present state of the art for distributed ledger technologies to support the use of interledger approaches in industrial settings.

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Distributed Governance in Multi-sided Platforms: A Conceptual Framework from Case: Bitcoin

Cited by 12 publications

References 41 publications

Understanding token-based ecosystems – a taxonomy of blockchain-based business models of start-ups

Understanding token-based ecosystems – a taxonomy of blockchain-based business models of start-ups

Robotik in der Wirtschaftsinformatik

Interledger for the Industrial Internet of Things

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