Use of conjoint analysis to assess web-based communications on functional foods

Appetite

Volumn 43, Issue 1, 2004, Pages 85-92

  Moskowitz, Howard ^a   Beckley, Jacqueline ^b   Minkus Mckenna, Dorothy ^c  

^a MOSKOWITZ JACOBS INC   (United States)

^b The Understanding and Insight Group   (United States)

^c Berkeley College   (United States)

Author keywords

Food concepts; Food for health; Functional foods; Utility segments

Indexed keywords

ADULT; ARTICLE; CONCEPT FORMATION; CONTROLLED STUDY; CONVALESCENCE; EVALUATION; FEMALE; FOOD; GENDER; HUMAN; HUMAN EXPERIMENT; INTERNET; INTERPERSONAL COMMUNICATION; NORMAL HUMAN; QUESTIONNAIRE;

ADULT; AGE DISTRIBUTION; DATA COLLECTION; FEMALE; FOOD LABELING; HEALTH FOOD; HEALTH KNOWLEDGE, ATTITUDES, PRACTICE; HEALTH STATUS; HUMANS; INTERNET; MIDDLE AGED; REGRESSION ANALYSIS;

EID: 3242662698     PISSN: 01956663     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.appet.2004.03.003     Document Type: Article

References (16)

1. Beckley, J., & Moskowitz, H. R (2002). Databasing The Consumer Mind: The Crave It!. Healthy You!, Buy It! Drink It! Databases. Institute of Food Technologists, Annual meeting, Anaheim Paper. pp. 74-76.
2. Childs N.M., Poryzees G.H. Foods that help prevent disease: consumer attitudes and public policy implications. Journal of Consumer Marketing. November-December:1997;433-448
3. DeFelice S. The nutraceutical initiative: a proposal for economic and regulatory reform. 1991;The Foundation for Innovation in Medicine, Cranford, NJ
4. Green P.E., Krieger A.M. Segmenting markets with conjoint analysis. Journal of Marketing. 55:1991;20-31
5. Green P.E., Srinivasan V. A general approach to product design optimization via conjoint analysis. Journal of Marketing. 45:1978;17-37
6. Hasler C.M. Functional foods: benefits, concerns and challenges - a position paper from the American council on science and health. Journal of Nutrition. December:2002;3772-3783
7. Hunt J.D., Abraham J.E., Patterson D.M. Computer generated conjoint analysis surveys for investigating citizens preferences. Wyatt R., Hemayet H. Proceedings of the 4th International Conference on Computers in Urban Planning and Urban Management, Melbourne July 11-14. 1995;13-25
8. Jupiter Media Metrixx. Personal communication to Howard. 2001
9. Moskowitz H.R. Segmenting consumers on the basis of their response to concept elements: an approach derived from product research. Canadian Journal of Market Research. 15:1996;38-54
10. Moskowitz H.R. Segmenting consumers worldwide: an application of multiple media conjoint methods. 49th ESOMAR Congress Istanbul. 1996;. pp. 535-552
11. Moskowitz, H. R., & Gofman, A (2003). System and method for content optimization. US Patent 6,662,215 B1, December 9.
12. Moskowitz, H. R., Itty, B., Shand, A., & Katz, R (2001). The mind of the customer: hot buttons and turn-offs regarding new methods of processing/preservation. Paper presented at the Institute of Food Technologists, Maryland Section Meeting, March 2002.
13. Moskowitz H.R., Itty B., Shand A., Krieger B. Understanding the consumer mind through a concept category appraisal: toothpaste. Canadian Journal of Market Research. 20:2002;3-15
14. Moskowitz H.R., Katz R., Beckley J., Ashman H. Understanding conjoint analysis. Food Technology. 58:2004;35-38
15. Moskowitz H.R., Martin D.G. How computer aided design and presentation of concepts speeds up the product development process. Proceedings of the 46th ESOMAR Congress, 1992, Copenhagen, Denmark. 1993;. pp. 405-479
16. Wittink D.R., Cattin P. Commercial use of conjoint analysis: an update. Journal of Marketing. 53:1989;91-96