Pregled bibliografske jedinice broj: 1082511
Decision making on Digital Platforms in Agriculture
Decision making on Digital Platforms in Agriculture // Proceedings of the 43rd International Convention on Information and Communication Technology, Electronics and Microelectronics MIPRO 2020 / Skala ; Karolj (ur.).
Opatija: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2020. str. 1731-1736 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Decision making on Digital Platforms in
Agriculture
Autori
Kadoić, Nikola ; Tomičić-Pupek, Katarina ; Vrček, Neven
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 43rd International Convention on Information and Communication Technology, Electronics and Microelectronics MIPRO 2020
/ Skala ; Karolj - Opatija : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2020, 1731-1736
Skup
43rd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2020)
Mjesto i datum
Opatija, Hrvatska, 28.09.2020. - 02.10.2020
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
agriculture ; digital platform ; decision making
Sažetak
There are many ways to sell and buy products in all fields, using digital technologies. That is the case for the agriculture field as well. Among many possibilities and different ICT solutions in agriculture, selection of the appropriate solution that will result in the satisfaction of both - customers and producers - becomes an important issue, and it is the main research topic of this paper. In this paper, we present the factors that influence the digital platform selection and propose two models for decision making on digital platforms. Decision models can help customers and producers to decide if a specific platform can be useful for their business. The decision model is based on a multi-criteria decision-making method called Dex. Dex is selected because it is very intuitive and less complicated than other multi-criteria methods. On the other hand, Dex can aggregate all crucial factors and include the specifics and subjectivity (perception) of each user (customer or producer). The paper also contains a demonstration of the implementations of two models on the hypothetical cases. In future research, we plan to evaluate the model in practice (and possibly update it if needed) and present it to the scientific and professional community. That can help producers/customers to optimize their business processes but also give directions for the development of new platform functionalities for platform developers.
Izvorni jezik
Engleski
Znanstvena područja
Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Fakultet organizacije i informatike, Varaždin