Affordances, experimentation and actualization of FinTech: A blockchain implementation study

Du, Wei; Pan, Shan Ling; Leidner, Dorothy E.; Ying, Wenchi

doi:10.1016/j.jsis.2018.10.002

Cited by 219 publications

(149 citation statements)

References 55 publications

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“…Because the development of blockchain is only in the initial stages, definitions are still emerging and no consistent definition has yet been adopted (Swan 2015). However, several authors agreed that decentralized ledger technology is key to the blockchain concept (Gomber et al 2018;Du et al 2019;Swan 2015). Swan (2015) described that the main idea of the blockchain is "that the decentralized transaction ledger functionality of the blockchain could be used to register, confirm, and transfer all manner of contracts and property.…”

Section: Definition and Technical Foundationmentioning

confidence: 99%

“…In general, blockchains record transactions by creating a chain of data blocks. Du et al (2019) emphasized five IT artifacts of blockchain technology that support these transactions, which are outlined in Table 1. To provide a brief overview of the functionality of the blockchain, we rely on its first use case: transacting bitcoins. Bitcoin is a peer-to-peer electronic cash system in which transactions are executed without the orchestration of an intermediary (Nakamoto 2008).…”

Section: Definition and Technical Foundationmentioning

confidence: 99%

“…Adapted from Du et al (2019) The impact of blockchain technology on business models -a taxonomy and archetypal patterns member can signal her genuineness and participate in market transactions without incurring information asymmetry. For voting systems, blockchain technology can digitalize it, decrease voter tampering, and possibly improve voter participation (Kshetri and Voas 2018).…”

Section: Application Of the Blockchainmentioning

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: Definition and Technical Foundationmentioning

confidence: 99%

Section: Definition and Technical Foundationmentioning

confidence: 99%

Section: Application Of the Blockchainmentioning

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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“…Controlling for knowledge management, we arrived at slightly more than 20 papers (22), of which 14 were published in peer-reviewed journals and eight had been presented at international conferences. From the most influential and available literature, we were able to identify the following keywords: blockchain technology [60], information structure [61], and firm culture [62]. In our knowledge process capability model, we included products and production processes [63], along with their management insertion rules [64].…”

Section: Methodsmentioning

confidence: 99%

Overcoming the Blockchain Oracle Problem in the Traceability of Non-Fungible Products

2020

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Blockchain implications within the sustainability domain are rapidly arousing the interest of researchers and institutions. However, despite the avalanche of articles, papers, and recently published books, innovation in the blockchain domain is still heavily influenced by light literature, such as news, articles, opinion posts, and white papers. Lacking a homogeneous literature background, case studies often fall into storytelling, providing mere descriptions of the facts according to the writers' impressions and opinions. We therefore investigate blockchain adoption for sustainable purposes through a case study while remaining firmly grounded in three main theoretical literature streams: knowledge management, knowledge infrastructure, and trust. Since blockchain interaction with the real world is managed by oracles, addressing the oracle problem is essential in order to evaluate the effectiveness of blockchain for sustainability issues. However, to the best of the authors' knowledge, no other paper has efficiently addressed this subject or even mentioned it. Recognizing its scarce consideration in the literature, the oracle problem will be analyzed in both theoretical and practical terms, thereby providing a way to solve the issues related to non-fungible products in the supply chain. Choice over the selected case study was made in light of the divergence in motives for the adoption of blockchain (economic over social), which makes the results more inferable at a broader scale and offers an insight into how sustainable innovations can also be economically viable.

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“…new/improved service or process), and the possibilities are represented as affordances. The topic of affordance has shown popularity in recent studies concerning emerging technologies (Lehrer, Wieneke, vom Brocke, Jung & Seidel, 2018;Du, Pan, Leidner & Ying, 2019). It represents the potential actions that may result from the relationship between AI and the organisation and focuses on business practices as an outcome rather than the properties of the technologies (Fayard & Weeks, 2014).…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence Affordances for Business Innovation: A Systematic Review of Literature

Achmat¹,

Brown

Kalpa Publications in Computing

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Emerging technologies like artificial intelligence (AI) have begun to play an ever- more important role in business innovation. The purpose of this paper is to review current literature to identify definitions and concepts related to artificial intelligence affordances and how artificial intelligence affords business innovation. Using a systematic six-step literature review methodology conducted with an iterative disposition, seven major affordances of AI for business innovation were identified, i.e. (i) Automate business processes, (ii) Customise end user interaction, (iii) Proactively anticipate and react to changes, (iv) Augment and upskill the workforce, (v) Assist decision making, (vi) Improve risk management, and (vii) Develop and enhance intellectual property. The literature surveyed furthermore shows that there are several gaps which allow for further research. Firstly, the definition of artificial intelligence is inconsistent and there is no widely accepted definition. Several AI-based technologies and applications being developed (e.g. Machine Learning, Deep Learning, Natural Language Processing and Neural Networks) require a clear understanding of the affordances of such technologies to be able to make informed strategic decisions. Therefore, understanding the affordances of artificial intelligence in general plays an important role in making such decisions.

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Affordances, experimentation and actualization of FinTech: A blockchain implementation study

Cited by 219 publications

References 55 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

Overcoming the Blockchain Oracle Problem in the Traceability of Non-Fungible Products

Artificial Intelligence Affordances for Business Innovation: A Systematic Review of Literature

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