Please use this identifier to cite or link to this item:
https://ruomo.lib.uom.gr/handle/7000/1372
Title: | Analyzing AgriFood-Tech e-Business Models |
Authors: | Vlachopoulou, Maro Ziakis, Christos Vergidis, Kostas Madas, Michael |
Type: | Article |
Subjects: | FRASCATI::Social sciences::Economics and Business |
Keywords: | “AgriFood-Tech” models agribusiness sector business model canvas BMC framework digital transformation in agriculture innovative e-business models |
Issue Date: | 2021 |
Publisher: | MDPI |
Source: | Sustainability |
Volume: | 13 |
Issue: | 10 |
First Page: | 5516 |
Abstract: | The agribusiness sector shows tremendous growth and sustainability prospects by exploiting the challenges of “AgriFood-Tech” business models in the digital environment, by encouraging in-novation, accelerating institutional and structural change, enhancing productivity, and intro-ducing new products and services to the market. The purpose of this study is to investigate different types of “AgriFood-Tech” digital models and analyze their role in the agribusiness and AgriFood sector. Based on relevant literature research, the authors present and discuss five indicative ex-amples of “AgriFood-Tech” models, using the Business Model Canvas (BMC) framework. The methodology included the analysis of the components of innovative AgriFood innovative busi-ness models paradigms, such as distribution channels, key partnerships, customer selection and relationships, financial viability, and value proposition. The goal was to explore their building blocks and the required decisions that create, deliver, and capture value. Our findings highlight the importance of specific features of the models, including online sharing of information between the stakeholders, online searches of agri-products, and logistics services in the agribusiness sector. |
URI: | https://doi.org/10.3390/su13105516 https://ruomo.lib.uom.gr/handle/7000/1372 |
ISSN: | 2071-1050 |
Other Identifiers: | 10.3390/su13105516 |
Appears in Collections: | Department of Applied Informatics |
Files in This Item:
File | Description | Size | Format | |
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Μ. ΜΑΝΤΑΣ - Pub.1.pdf | Final published manuscript | 1,26 MB | Adobe PDF | View/Open |
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