Making more research count: a blockchain enabled one-stop shop for immutable behavioral research
ISSN: 1463-6689
Article publication date: 10 August 2021
Issue publication date: 6 October 2021
Abstract
Purpose
The purpose of this paper is to offer a panoramic view at the credibility issues that exist within social sciences research.
Design/methodology/approach
The central argument of this paper is that a joint effort between blockchain and other technologies such as artificial intelligence (AI) and deep learning and how they can prevent scientific data manipulation or data forgery as a way to make science more decentralized and anti-fragile, without losing data integrity or reputation as a trade-off. The authors address it by proposing an online research platform for use in social and behavioral science that guarantees data integrity through a combination of modern institutional economics and blockchain technology.
Findings
The benefits are mainly twofold: On the one hand, social science scholars get paired with the right target audience for their studies. On the other hand, a snapshot of the gathered data at the time of creation is taken so that researchers can prove that they used the original data set to peers in the future while maintaining full control of their data.
Originality/value
The proposed combination of behavioral economics with new technologies such as blockchain and AI is novel and translated into a cutting-edge tool to be implemented.
Keywords
Acknowledgements
Conflict of interest:The author declares that he has no conflict of interest.
Citation
Hoffmann, C.H. (2021), "Making more research count: a blockchain enabled one-stop shop for immutable behavioral research", Foresight, Vol. 23 No. 6, pp. 628-639. https://doi.org/10.1108/FS-03-2021-0062
Publisher
:Emerald Publishing Limited
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