Making Sense of Blockchain Applications

Elsden, Chris; Manohar, Arthi; Briggs, Jo; Harding, Mike; Speed, Chris; Vines, John

doi:10.1145/3173574.3174032

Cited by 110 publications

(105 citation statements)

References 64 publications

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“…Besides cost reduction, traceability, and security improvements, blockchains support the business model and organizational concept of a distributed autonomous organizations (DAO) (Adams et al 2017;Chohan 2017;Shermin 2017;Elsden et al 2018;Jun and Vasarhelyi 2017). DAOs exist without central governance, are monitored by shareholders, and are coordinated through smart contracts (Diallo et al 2018;Chohan 2017).…”

Section: Blockchain Technology and Its Implications For Business Modelsmentioning

confidence: 99%

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The impact of blockchain technology on business models – a taxonomy and archetypal patterns

et al. 2019

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Blockchain technology enables new ways of organizing economic activities, reduces costs and time associated with intermediaries, and strengthens the trust in an ecosystem of actors. The impact of this seminal technology is reflected by an upcoming research stream and various firms that examine the potential uses of blockchain technology. While there are promising use cases of this new technology, research and practice are still in their infancy about altering existing and creating new business models. We develop a taxonomy of blockchain business models based on 99 blockchain ventures to explore the impact of blockchain technology on business models. As a result, we identify five archetypal patterns, which enhance our understanding of how blockchain technology affects existing and creates new business models. We propose to use these results to discover further patterns fueled by blockchain technology and illustrate how firms can use blockchain technology to innovate their business models.

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Section: Blockchain Technology and Its Implications For Business Modelsmentioning

confidence: 99%

“…(Nowiński and Kozma 2017;Subramanian 2018;Wörner et al 2016), Underlying Asset (Smith and Dhillon 2017; Y. Chen 2018; Jun and Vasarhelyi 2017), DAO Affiliation(Chohan 2017;Adams et al 2017;Shermin 2017;Elsden et al 2018;Jun and Vasarhelyi 2017), and Token System…”

mentioning

confidence: 99%

The impact of blockchain technology on business models – a taxonomy and archetypal patterns

et al. 2019

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“…As identified by Elsden et al [15], one key aim for future HCI research is to engage participants in novel blockchain designs through speculative and experiential methods. A crucial factor to achieve this is the use of smart contracts 'in the wild' [9], raising real-world concerns and drawing connections to broader societal issues.…”

Section: Value Of Ideating With Geocoinmentioning

confidence: 99%

GeoCoin

Nissen

Pschetz

Murray-Rust

et al. 2018

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

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Design and HCI researchers are increasingly working with complex digital infrastructures, such as cryptocurrencies, distributed ledgers and smart contracts. These technologies will have a profound impact on digital systems and their audiences. However, given their emergent nature and technical complexity, involving non-specialists in the design of applications that employ these technologies is challenging. In this paper, we discuss these challenges and present GeoCoin, a location-based platform for embodied learning and speculative ideating with smart contracts. In collaborative workshops with GeoCoin, participants engaged with location-based smart contracts, using the platform to explore digital 'debit' and 'credit' zones in the city. These exercises led to the design of diverse distributed-ledger applications, for time-limited financial unions, participatory budgeting, and humanitarian aid. These results contribute to the HCI community by demonstrating how an experiential prototype can support understanding of the complexities behind new digital infrastructures and facilitate participant engagement in ideation and design processes.

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“…There is no doubt that use of blockchain will disrupt businesses across all sectors (O'Sullivan, 2018). The fact that blockchain provides distributed and decentralised transactions -trust (Lin et al, 2017;Elsden et al, 2018) and transparency of information (Wüst and Gervais, 2017;Faour, 2018), makes it appealing for businesses. Initially, blockchain was virtual and public ledger system to record the transactions in a secure and transparent manner (Agrawal, 2018).…”

Section: Introductionmentioning

confidence: 99%

Mathematical Assessment of Blocks acceptance in Blockchain using Markov Model

Srivastava

2019

IJBC

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Blockchain, introduced in bitcoin system is disrupting the way transactions are done in businesses via charging small transaction fees. It is observed that the acceptance of blocks in the blockchain is based on transaction value. Transmittals through blockchain are favoured due to low transaction cost and grander security. However, attempt of implementing blockchain to revolutionise business processes writhes from problem of waiting time for blocks. In this paper, the transaction-confirmation-time is appraised using queuing theory, where the approval rate of blocks in blockchain is concocted using Markov queue model. Four specific use cases of 1, 3, 6 and 60 confirmations are considered for practical purposes. Biographical notes: Riktesh Srivastava holds a PhD in ElectronicsEngineering, Master's in Electronics Engineering and management qualifications in Marketing Management and General Management from Indian Institute of Management, Ahmedabad (IIMA). Furthermore, he has also completed prestigious certifications on marketing analytics and electronic commerce from Wharton School, University of Pennsylvania, USA and NTU, Singapore, respectively. He has written three books (OS, C++ Programming and RDBMS) and published more than 50 papers in international journals and conferences. His areas of interest include machine learning, big data analytics, queuing theory and presently also indulged into studying theoretical concepts of blockchain technology as well. Currently, he is a faculty,

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Making Sense of Blockchain Applications

Cited by 110 publications

References 64 publications

The impact of blockchain technology on business models – a taxonomy and archetypal patterns

The impact of blockchain technology on business models – a taxonomy and archetypal patterns

GeoCoin

Mathematical Assessment of Blocks acceptance in Blockchain using Markov Model

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