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Behavior of Online Prosumers in Organic Product Market as Determinant of Sustainable Consumption
- Source :
- Statistical Inference for Ergodic Algorithmic Model (EAM), Applied to Hydrophobic Hydration Processes ISBN: 9789392117381, Sustainability, Volume 13, Issue 3, Sustainability, Vol 13, Iss 1157, p 1157 (2021)
- Publication Year :
- 2021
- Publisher :
- Vide Leaf, Hyderabad, 2021.
-
Abstract
- The article focuses on the specificity of the behavior of modern prosumers in the market for organic products as a determinant of sustainable consumption. The strengthening of the pro-consumer relationship is made possible thanks to ongoing technological changes, especially the development of the Internet. It is thanks to our online activities and the opinions of other Internet users that pro-consumer decisions concerning online purchases are shaped. The article presents the results of empirical studies conducted in 2020 on a sample of 664 respondents using a questionnaire, while the survey results were developed using SPSS Statistics. Findings of research showed the willingness of consumers for prosumption and kind of behaviors that were most often among the research group. In the course of research proceedings, it was possible to define factors that dispose declarative prosumers for the purchase of organic products. Conducted analyses also allowed for building the model of the influence of individual characteristics of respondents on the index of prosumption.
- Subjects :
- Organic product
Index (economics)
Geography, Planning and Development
TJ807-830
Sample (statistics)
Management, Monitoring, Policy and Law
TD194-195
Renewable energy sources
Empirical research
0502 economics and business
Sustainable consumption
GE1-350
Marketing
Environmental effects of industries and plants
Renewable Energy, Sustainability and the Environment
Technological change
business.industry
05 social sciences
consumer
sustainable consumption
Dispose pattern
organic products
Environmental sciences
050211 marketing
The Internet
Business
internet
prosumption
050203 business & management
Subjects
Details
- ISBN :
- 978-93-92117-38-1
- ISBNs :
- 9789392117381
- Database :
- OpenAIRE
- Journal :
- Statistical Inference for Ergodic Algorithmic Model (EAM), Applied to Hydrophobic Hydration Processes ISBN: 9789392117381, Sustainability, Volume 13, Issue 3, Sustainability, Vol 13, Iss 1157, p 1157 (2021)
- Accession number :
- edsair.doi.dedup.....7a48a388a3cf51d3ddc0e4e55603fc88
- Full Text :
- https://doi.org/10.37247/pasus3ed.3.22.1