Investigating the Effect of tea Packaging Characteristics on Consumer Preferences using the Approach New Combination of Conjoint Analysis and Artificial Neural Network

Author:

Mojaverian Seyed Mojtaba,eshqi Foad,Rahmani esmaeili Hossin, , ,

Publisher

CMV Verlag

Subject

Cell Biology,Developmental Biology,Embryology,Anatomy

Reference47 articles.

1. Understanding the buying behaviour of young consumers regarding packaging attributes and labels

2. User Evaluation Prediction Models Based on Conjoint Analysis and Neural Networks for Interactive Evolutionary Computation

3. Amirnejad, Q. 2016. The effect of packaging information on tea consumers' satisfaction. Management and Entrepreneurship Studies, 2(3): 12-124 (In Persian).

4. Andreas, Z. 1994. Simulation Neuronal Nets [Simulation of Neural Networks] (in German) (ed.).Addison-Wesley. ISBN 3-89319-554-8.

5. ArabMazar, M. and M. Ghasemi. 2010. Pricing Initial Public Offerings: combining Artificial Neural Networks and Genetic Algorithm. Journal of Accounting and Auditing Review, 16(5): 87-102 (In Persian).

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