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Pregled bibliografske jedinice broj: 1154871

Model for improvement of nonprofit student organizations funding by machine learning and digital transition to blockchain


Vasilj, Matea; Skender, Sven; Horvat, Marko
Model for improvement of nonprofit student organizations funding by machine learning and digital transition to blockchain // 32nd Central European Conference on Information and Intelligent System (CECIIS 2021) - Proceedings / Vrček, Neven ; Pergler, Elisabeth ; Grd, Petra (ur.).
Varaždin: University of Zagreb, Faculty of Organization and Informatics, 2021. str. 229-236 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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Naslov
Model for improvement of nonprofit student organizations funding by machine learning and digital transition to blockchain

Autori
Vasilj, Matea ; Skender, Sven ; Horvat, Marko

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
32nd Central European Conference on Information and Intelligent System (CECIIS 2021) - Proceedings / Vrček, Neven ; Pergler, Elisabeth ; Grd, Petra - Varaždin : University of Zagreb, Faculty of Organization and Informatics, 2021, 229-236

Skup
32nd Central European Conference on Information and Intelligent Systems (CECIIS 2021)

Mjesto i datum
Varaždin, Hrvatska, 13-15.10.2021

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
blockchain, machine-learning, fundraising, smart-contract, non-profit organization

Sažetak
Most student organizations can be classified as nonprofits. Sponsorships are their main source of income and fundraising is a key activity responsible for allocating sufficient funds required for project realization. Typically, companies are the principal outside stakeholders concerned with the success of student organizations' projects and their main sponsors. Financial transparency and accountability for nonprofits are crucial for their public image, mission, and achievement of planned goals. Student organizations cannot be successful and build longterm relationships with enterprises without being transparent in how the donated funds are being spent. By introducing the blockchain-based smart contracts model a student organization could publicly declare the amount of capital required for every project, its distribution as well as fundraising deadlines. As the data on the blockchain is completely transparent it can be effortlessly utilized as an input data set for building machine learning models. By employing the proposed model fundraisers could maximize project income and reduce costs by using generated predictions.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Marko Horvat (autor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada archive.ceciis.foi.hr

Citiraj ovu publikaciju:

Vasilj, Matea; Skender, Sven; Horvat, Marko
Model for improvement of nonprofit student organizations funding by machine learning and digital transition to blockchain // 32nd Central European Conference on Information and Intelligent System (CECIIS 2021) - Proceedings / Vrček, Neven ; Pergler, Elisabeth ; Grd, Petra (ur.).
Varaždin: University of Zagreb, Faculty of Organization and Informatics, 2021. str. 229-236 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Vasilj, M., Skender, S. & Horvat, M. (2021) Model for improvement of nonprofit student organizations funding by machine learning and digital transition to blockchain. U: Vrček, N., Pergler, E. & Grd, P. (ur.)32nd Central European Conference on Information and Intelligent System (CECIIS 2021) - Proceedings.
@article{article, author = {Vasilj, Matea and Skender, Sven and Horvat, Marko}, year = {2021}, pages = {229-236}, keywords = {blockchain, machine-learning, fundraising, smart-contract, non-profit organization}, title = {Model for improvement of nonprofit student organizations funding by machine learning and digital transition to blockchain}, keyword = {blockchain, machine-learning, fundraising, smart-contract, non-profit organization}, publisher = {University of Zagreb, Faculty of Organization and Informatics}, publisherplace = {Vara\v{z}din, Hrvatska} }
@article{article, author = {Vasilj, Matea and Skender, Sven and Horvat, Marko}, year = {2021}, pages = {229-236}, keywords = {blockchain, machine-learning, fundraising, smart-contract, non-profit organization}, title = {Model for improvement of nonprofit student organizations funding by machine learning and digital transition to blockchain}, keyword = {blockchain, machine-learning, fundraising, smart-contract, non-profit organization}, publisher = {University of Zagreb, Faculty of Organization and Informatics}, publisherplace = {Vara\v{z}din, Hrvatska} }




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