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Fuzzy Similarity Used by Micro-Enterprises in Marketing Communication for Sustainable Development
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- Author(s): Schüller, David; Doubravský, Karel
- Document Type:
Electronic Resource
- Online Access:
http://hdl.handle.net/11012/180813
https://www.mdpi.com/2071-1050/11/19/5422
Sustainability
https://www.mdpi.com/2071-1050/11/19/5422
- Additional Information
- Publisher Information:
MDPI 2019-09-30
- Abstract:
The purpose of this paper is to present fuzzy reasoning as a formal tool for determining the differences in perception of individual communication channels by customers. These differences in customer perception are important for micro-enterprises to develop an effective green advertising campaign. These kinds of enterprises are not able to conduct their own extensive marketing research or use the service of marketing agencies. Micro-enterprises are the cornerstone for sustainable local economic growth where the community plays an irreplaceable role for sustainable development. Marketing communication is unique and complex because it focuses on feelings, moods, and personal preferences. The main problem is the uncertainty of this input data which makes it difficult to develop effective green advertising campaigns. Fuzzy sets and fuzzy reasoning are used to make verbal descriptions suitable for computer applications. A fuzzy pairwise similarity is used in this paper. The case study has eight relevant variables/marketing communication media, e.g., e-mailing, social networks, web pages, text messaging, newspapers, phone calls, posters and radio, and five segments of respondents selected by age. Each segment is presented as a fuzzy conditional statement. A set of fuzzy pairwise similarities is generated.
- Subject Terms:
- Availability:
Open access content. Open access content
http://creativecommons.org/licenses/by/4.0
openAccess
http://www.sherpa.ac.uk/romeo/issn/2071-1050
Creative Commons Attribution 4.0 International
- Note:
19
11
English
- Other Numbers:
CZBUT oai:https://dspace.vut.cz:11012/180813
Sustainability. 2019, vol. 11, issue 19, p. 1-15.
2071-1050
159014
10.3390/su11195422
0000-0002-4677-8665
0000-0002-6882-1046
GLR-2336-2022
56067188800
1427103393
- Contributing Source:
BRNO UNIV OF TECHNOL
From OAIster®, provided by the OCLC Cooperative.
- Accession Number:
edsoai.on1427103393
HoldingsOnline
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