Affordances in blockchain-based financial recommendations concerned with life events and personalities – Publication by Ildikó Szabó, Katalin Ternai and Szabina Fodor 

Blockchain technology creates the possibility for developing knowledge-intensive goods. Only a few studies in Affordance theory deal with investigating blockchain. This paper aims to discover affordances in blockchain when designing an AI-based financial recommendation system as a decision support system. The design thinking methodology was extended with machine learning and business process modelling to discover financial offerings, digital objects to be tokenised, advantages gained from the tracing affordances and consensus mechanism, and the role of smart contracts for each persona. The implementation of discovered blockchain-based applications requires a multichain framework to meet the requirements of design affordances. 

Source: tandfonline.com

Borbásné Szabó Ildikó ildiko.szabo2@uni-corvinus.hu Rektori Szervezet / Adatelemzés és Informatika Intézet / Információrendszerek Tanszék

Egyetemi Docens / Associate Professor
Sóház, S.223
Phone: +36 1 482 7410 • Ext: 7410

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dr. Ternai Katalin katalin.ternai@uni-corvinus.hu Rektori Szervezet / Adatelemzés és Informatika Intézet / Információrendszerek Tanszék

Egyetemi docens / Associate Professor
Sóház, S.120
Phone: +36 1 482 7416 • Ext: 7416

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Dr. Fodor Szabina Eszter szabina.fodor@uni-corvinus.hu Rektori Szervezet / Adatelemzés és Informatika Intézet / Számítástudományi Tanszék

Egyetemi docens / Associate Professor
Fővám tér 13-15 (Sóház), S.120
Phone: +36 1 482 7468 • Ext: 7468

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