Consumer Preferences for Local Chocolate Consumption. Implications from Market Segmentation at Ecuador
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- Confraria, João & Ribeiro, Tiago & Vasconcelos, Helder, 2017. "Analysis of consumer preferences for mobile telecom plans using a discrete choice experiment," Telecommunications Policy, Elsevier, vol. 41(3), pages 157-169.
- Fanchao Liao & Eric Molin & Bert van Wee, 2017. "Consumer preferences for electric vehicles: a literature review," Transport Reviews, Taylor & Francis Journals, vol. 37(3), pages 252-275, May.
- Meeran, Sheik & Jahanbin, Semco & Goodwin, Paul & Quariguasi Frota Neto, Joao, 2017. "When do changes in consumer preferences make forecasts from choice-based conjoint models unreliable?," European Journal of Operational Research, Elsevier, vol. 258(2), pages 512-524.
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Keywords
Consumer preferences; chocolate; conjoint analysis; consumer segmentation.;All these keywords.
JEL classification:
- M - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics
- M3 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising
- M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
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