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

N. Agell; M. Casabayó; Pooja Mohanty

doi:10.1007/978-3-030-04191-536

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

N. Agell
, M. Casabayó
, Pooja Mohanty

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Producción científica: Contribución a una conferencia › Contribución

Resumen

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.

Idioma original	Inglés
DOI	https://doi.org/10.1007/978-3-030-04191-536
Estado	Publicada - 11 dic 2018
Evento	38th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence 2018 - Duración: 11 dic 2018 → 13 dic 2018

Conferencia

Conferencia	38th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence 2018
Período	11/12/18 → 13/12/18

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10.1007/978-3-030-04191-536

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title = "Identifying variables to define innovator group in the healthy food industry: A fuzzy approach",

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.",

author = "N. Agell and M. Casabay{\'o} and Pooja Mohanty",

year = "2018",

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AU - Agell, N.

AU - Casabayó, M.

AU - Mohanty, Pooja

PY - 2018/12/11

Y1 - 2018/12/11

N2 - 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.

AB - 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.

U2 - 10.1007/978-3-030-04191-536

DO - 10.1007/978-3-030-04191-536

M3 - Contribution

T2 - 38th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence 2018

Y2 - 11 December 2018 through 13 December 2018

ER -

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

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