The Dynamics of Governing Enterprise Blockchain Ecosystems

Duijn, Birgitte van Haaren-van; Roca, Jaime Bonnín; Chen, Annie; Romme, A.G.L.; Weggeman, M.C.D.P.

doi:10.3390/admsci12030086

Cited by 7 publications

(1 citation statement)

References 53 publications

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“…Uniquely, they analyzed the organized collaborations of blockchain governance from the perspective of organizational science, providing organizational scholars with a new perspective on the study of organizing collaborations. Romme et al [ 18 ] divided the life cycle of the blockchain system into three stages. In addition, they also studied the characteristics of the blockchain governance mechanism at each stage and gave corresponding recommendations, which improves the sustainability of the blockchain ecosystem for the future.…”

Section: Introductionmentioning

confidence: 99%

Delegated Proof of Stake Consensus Mechanism Based on Community Discovery and Credit Incentive

Li,

Deng,

Liu

et al. 2023

Entropy

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Consensus algorithms are the core technology of a blockchain and directly affect the implementation and application of blockchain systems. Delegated proof of stake (DPoS) significantly reduces the time required for transaction verification by selecting representative nodes to generate blocks, and it has become a mainstream consensus algorithm. However, existing DPoS algorithms have issues such as “one ballot, one vote”, a low degree of decentralization, and nodes performing malicious actions. To address these problems, an improved DPoS algorithm based on community discovery is designed, called CD-DPoS. First, we introduce the PageRank algorithm to improve the voting mechanism, achieving “one ballot, multiple votes”, and we obtain the reputation value of each node. Second, we propose a node voting enthusiasm measurement method based on the GN algorithm. Finally, we design a comprehensive election mechanism combining node reputation values and voting enthusiasm to select secure and reliable accounting nodes. A node credit incentive mechanism is also designed to effectively motivate normal nodes and drive out malicious nodes. The experimental simulation results show that our proposed algorithm has better decentralization, malicious node eviction capabilities and higher throughput than similar methods.

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Section: Introductionmentioning

confidence: 99%

Delegated Proof of Stake Consensus Mechanism Based on Community Discovery and Credit Incentive

Li,

Deng,

Liu

et al. 2023

Entropy

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Review Article: Blockchain Technology and Governance of Franchise Networks

Jell‐Ojobor,

Russwurm,

Windsperger

2024

Manage Decis Econ

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This study explores the implications of the introduction of blockchain technology for the governance of franchise networks. In light of the limited prior research on this topic, the study employs a twofold approach. It begins by identifying the central themes present in current research at the intersection of franchising and blockchain technology. Next, it examines existing instances of implementations of blockchain technology and connects them to corresponding value chain operations in the franchising context. The study takes a comprehensive approach, combining bibliometric analysis with a semisystematic literature review, to offer insights into blockchain technology's potential future impact on the franchise industry. Specifically, it shows that franchise network governance can benefit significantly from attributes of blockchain such as transparency, efficiency, and trust as well as from its various applications such as smart contracts and decentralized autonomous organizations.

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