User Data Sharing Frameworks: A Blockchain-Based Incentive Solution

Shrestha, Ajay Kumar; Vassileva, Julita

doi:10.1109/iemcon.2019.8936137

Cited by 20 publications

(10 citation statements)

References 20 publications

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“…Moreover, SCS deploys smart contracts that allow customers to provide their data sharing preferences on a template form without needing them to write the code for the smart contracts. The smart contracts support users in the following ways ( Shrestha & Vassileva, 2019b ):…”

Section: Introductionmentioning

confidence: 99%

Augmenting the technology acceptance model with trust model for the initial adoption of a blockchain-based system

Shrestha

Vassileva

Joshi³

et al. 2021

PeerJ Computer Science

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Background In the collaborative business environment, blockchain coupled with smart contract removes the reliance on a central system and offers data integrity which is crucial when the transacting parties rely on the shared data. The acceptance of such blockchain-based systems is necessary for the continued use of the services. Despite many extensive studies evaluating the performance of blockchain-based systems, few have focused on users’ acceptance of real-life applications. Objective The main objective of this research is to evaluate the user acceptance of a real-life blockchain-based system (BBS) by observing various latent variables affecting the development of users’ attitudes and intention to use the system. It also aims to uncover the dimensions and role of trust, security and privacy alongside the primary Technology Acceptance Model (TAM)-based predictors and their causal relationship with the users’ behavior to adopt such BBS. Methods We tested the augmented TAM with Trust Model on a BBS that comprises two subsystems: a Shopping Cart System (SCS), a system oriented towards end-users and a Data Sharing System (DSS), a system oriented towards system administrators. We set research questions and hypotheses, and conducted online surveys by requesting each participant to respond to the questionnaire after using the respective system. The main study comprises two separate sub-studies: the first study was performed on SCS and the second on DSS. Furthermore, each study data comprises initial pre-test and post-test data scores. We analyzed the research model with partial least square structural equation modelling. Results The empirical study validates our research model and supports most of the research hypotheses. Based on our findings, we deduce that TAM-based predictors and trust constructs cannot be applied uniformly to BBS. Depending on the specifics of the BBS, the relationships between perceived trust antecedents and attitudes towards the system might change. For SCS, trust is the strongest determinant of attitudes towards system, while DSS has perceived privacy as the strongest determinant of attitudes towards system. Quality of system shows the strongest total effect on intention to use SCS, while perceived usefulness has the strongest total effect on intention to use DSS. Trust has a positive significant effect on users’ attitudes towards both BSS, while security does not have any significant effect on users’ attitudes toward BBS. In SCS, privacy positively affects trust, but security has no significant effect on trust, whereas, in DSS, both privacy and security have significant effects on trust. In both BBS, trust has a moderating effect on privacy that correlates with attitudes towards BBS, whereas security does not have any mediating role between privacy and attitudes towards BBS. Hence, we recommend that while developing BBS, particular attention should be paid to increasing user trust and perceived privacy.

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Section: Introductionmentioning

confidence: 99%

Augmenting the technology acceptance model with trust model for the initial adoption of a blockchain-based system

Shrestha

Vassileva

Joshi³

et al. 2021

PeerJ Computer Science

Self Cite

View full text Add to dashboard Cite

show abstract

“…It is therefore important to study the user acceptance of blockchain-based applications for example if users understand the smart contracts and blockchain technologies and if they can competently share research data. Many studies have evaluated the performance of blockchainbased systems [5], [9], [10], [11]. However, to our best knowledge, no studies has focused on user acceptance of blockchain-based system.…”

Section: Introductionmentioning

confidence: 99%

User Acceptance of Usable Blockchain-Based Research Data Sharing System: An Extended TAM-Based Study

Shrestha

Vassileva

2019

2019 First IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA)

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Blockchain technology has evolved as a promising means to transform data management models in many domains including healthcare, agricultural research, tourism domains etc. In the research community, a usable blockchain-based system can allow users to create a proof of ownership and provenance of the research work, share research data without losing control and ownership of it, provide incentives for sharing and give users full transparency and control over who access their data, when and for what purpose. The initial adoption of such blockchain-based systems is necessary for continued use of the services, but their user acceptance behavioral model has not been well investigated in the literature. In this paper, we take the Technology Acceptance Model (TAM) as a foundation and extend the external constructs to uncover how the perceived ease of use, perceived usability, quality of the system and perceived enjoyment influence the intention to use the blockchain-based system. We based our study on user evaluation of a prototype of a blockchain-based research data sharing framework using a TAM validated questionnaire. Our results show that, overall, all the individual constructs of the behavior model significantly influence the intention to use the system while their collective effect is found to be insignificant. The quality of the system and the perceived enjoyment have stronger influence on the perceived usefulness. However, the effect of perceived ease of use on the perceived usefulness is not supported. Finally, we discuss the implications of our findings. Keywords-TAM, behavior model, blockchain, smart contract, data sharing, privacy, perceived ease of use, perceived usefulness, quality of system, perceived enjoyment, behavioral Intention

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“…They employ smart contracts for automatically calculating and enforcing incentives. Shrestha et al [9] utilized blockchain and smart contracts to encourage data owners to share their research data without losing control and ownership of it. The system incentivizes the participants by providing access to aggregate, anonymized data to involve them as miners in the network.…”

Section: Related Workmentioning

confidence: 99%

Data Trust Framework Using Blockchain Technology and Adaptive Transaction Validation

Rouhani

Deters

2021

IEEE Access

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Trust is the main barrier preventing widespread data sharing. The lack of transparent infrastructure for implementing data trust prevents many data owners from sharing their data and concerns data users regarding the quality of the data. Data trust is a paradigm that facilitates data sharing by forcing data users to be transparent about the process of sharing and reusing data. Blockchain proposes a distributed and transparent administration by employing the involved parties to maintain consensus on an immutable ledger. This paper proposes an end-to-end framework for data trust to offer trustworthy data sharing using blockchain. The framework promotes data quality by assessing input data sets, effectively manages access control, and presents data provenance and activity monitoring. The number of transaction validators is defined adaptively with the trust value. The proposed data trust framework addresses both data owners' and data users' concerns by ensuring the trustworthiness and quality of the data at origin and ethical and secure usage of the data at the end. A comprehensive experimental study indicates the presented system effectively handles a large number of transactions with low latency.

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User Data Sharing Frameworks: A Blockchain-Based Incentive Solution

Cited by 20 publications

References 20 publications

Augmenting the technology acceptance model with trust model for the initial adoption of a blockchain-based system

Augmenting the technology acceptance model with trust model for the initial adoption of a blockchain-based system

User Acceptance of Usable Blockchain-Based Research Data Sharing System: An Extended TAM-Based Study

Data Trust Framework Using Blockchain Technology and Adaptive Transaction Validation

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