Identifying variables to define innovator group in the healthy food industry: A fuzzy approach

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2 Citations (Scopus)

Abstract

Customer adoption of innovation is a multi-disciplinary research area which has been extensively researched. However, identifying the most important variables that affect the adoption process remains unattended. In this paper, we propose Fuzzy TOPSIS method to rank variables that affect the Innovator Group customers. With an illustrative example we explain the method’s applicability and we conclude by discussing implications for marketing research and healthy food industry.

Original languageEnglish
Title of host publicationArtificial Intelligence XXXV - 38th SGAI International Conference on Artificial Intelligence, AI 2018, Proceedings
EditorsMax Bramer, Miltos Petridis
PublisherSpringer Verlag
Pages440-445
Number of pages6
ISBN (Print)9783030041908
DOIs
Publication statusPublished - 2018
Externally publishedYes
Event38th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2018 - Cambridge, United Kingdom
Duration: 11 Dec 201813 Dec 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11311 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference38th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2018
Country/TerritoryUnited Kingdom
CityCambridge
Period11/12/1813/12/18

Keywords

  • Fuzzy-TOPSIS
  • Innovator-group
  • Variable-selection

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