Non-sensory factors driving the packaging design of ready-to-eat mazamorra morada based on consumer perception

Autores/as

  • Erick Saldaña Escuela Profesional de Ingeniería Agroindustrial, Universidad Nacional de Moquegua, Prolongación calle Ancash s/n, Moquegua 18001. https://orcid.org/0000-0002-4018-2852
  • Cathia Samán Departamento de Ciencias Agroindustriales, Facultad de Ciencias Agropecuarias, Universidad Nacional de Trujillo, Av. Juan Pablo II s/n. Ciudad Universitaria, Trujillo.
  • Jhordin Saldaña Departamento de Ciencias Agroindustriales, Facultad de Ciencias Agropecuarias, Universidad Nacional de Trujillo, Av. Juan Pablo II s/n. Ciudad Universitaria, Trujillo.
  • Carmen M. S. Ambrosio Dirección de Investigación y Desarrollo, Universidad Privada del Norte (UPN), Trujillo. https://orcid.org/0000-0002-6308-2803

DOI:

https://doi.org/10.17268/sci.agropecu.2021.046

Palabras clave:

Conjoint Analysis, Napping, Label and packaging design, Peruvian dessert

Resumen

Food choice is often influenced by extrinsic factors, which drive consumer perception of a given product or service. It is therefore critical to study them during the design of food packaging. In this context, the aim of this study was to investigate the effect of extrinsic factors on the expected acceptance, purchase intention and holistic perception of consumers of the popular Peruvian dessert mazamorra morada. Twelve stimuli were created by using a fractional factorial design considering packaging material, nutritional information, quality, convenience, and naturalness as factors, previously obtained by open-ended questions. Ninety-seven consumers answered an online survey indicating their expected acceptance, purchase intention and holistic perception. The results showed that the most salient factors for consumers, in terms of expected acceptance, purchase intention, and holistic perception, were packaging material and convenience. For these factors, the levels that increased expected acceptance and purchase intention were the "package made of food grade paper", conveniently adding a "spoon and napkin".

Citas

Ampuero, O., & Vila, N. (2006). Consumer perceptions of product packaging. J. Consum. Mark. 23, 102–114.

Antúnez, L., Alcaire, F., Giménez, A., & Ares, G. (2020). Can sodium warnings modify preferences? A case study with white bread. Food Res. Int., 134, 109239.

Ares, G., Arrúa, A., Antúnez, L., Vidal, L., Machín, L., et al. (2016). Influence of label design on children’s perception of two snack foods: Comparison of rating and choice-based conjoint analysis. Food Qual. Prefer., 53, 1-8.

Ares, G., & Deliza, R. (2010). Studying the influence of package shape and colour on consumer expectations of milk desserts using word association and conjoint analysis. Food Qual. Prefer., 21(8), 930-937.

Ares, G., Giménez, A., & Deliza, R. (2010). Influence of three non-sensory factors on consumer choice of functional yogurts over regular ones. Food Qual. Prefer. 21, 361–367.

Ares, G., Giménez, A., & Gámbaro, A. (2009). Consumer perceived healthiness and willingness to try functional milk desserts. Influence of ingredient, ingredient name and health claim. Food Qual. Prefer., 20(1), 50-56.

Ares, G., Varela, F., Machin, L., Antúnez, L., Giménez, A., Curutchet, M. R., & Aschemann-Witzel, J. (2018). Comparative performance of three interpretative front-of-pack nutrition labelling schemes: Insights for policy making. Food Qual. Prefer. 68, 215–225.

Arrúa, A., MacHín, L., Curutchet, M. R., Martínez, J., Antúnez, L., et al. (2017a). Warnings as a directive front-of-pack nutrition labelling scheme: Comparison with the Guideline Daily Amount and traffic-light systems. Public Health Nutr., 20, 2308–2317.

Arrúa, A., MacHín, L., Curutchet, M. R., Martínez, J., Antúnez, L., et al. (2017b). Warnings as a directive front-of-pack nutrition labelling scheme: Comparison with the Guideline Daily Amount and traffic-light systems. Public Health Nutr., 20, 2308–2317.

Aschemann-Witzel, J., Grunert, K. G., van Trijp, H., Bialkova, S., Raats, M. M., et al. (2013). Effects of nutrition label format and product assortment on the healthfulness of food choice. Appetite, 71, 63–74.

Bak, A., Bartlomowicz, T., & Tomasz Bartlomowicz, M. (2018). Package “conjoint” Title An Implementation of Conjoint Analysis Method.

Baptista, I., Valentin, D., Saldaña, E., & Behrens, J. (2021). Effects of packaging color on expected flavor, texture and liking of chocolate in Brazil and France. Int. J. Gastron. Food Sci., 24, 100340.

Bove, C. F., Sobal, J., & Rauschenbach, B. S. (2003). Food choices among newly married couples: Convergence, conflict, individualism, and projects. Appetite, 40, 25–41.

Buckley, M., Cowan, C., & McCarthy, M. (2007). Consumer attitudes towards convenience foods, in: Understanding Consumers of Food Products. Elsevier Ltd, pp. 200–220.

Calegari, L.P., Barbosa, J., Marodin, G.A., & Fettermann, D.C. (2018). A conjoint analysis to consumer choice in Brazil: Defining device attributes for recognizing customized foods characteristics. Food Res. Int., 109, 1–13.

Claret, A., Guerrero, L., Aguirre, E., Rincón, L., Hernández, M.D., et al. (2012). Consumer preferences for sea fish using conjoint analysis: Exploratory study of the importance of country of origin, obtaining method, storage conditions and purchasing price. Food Qual. Prefer., 26(2), 259-266.

Costell, E., Tárrega, A., & Bayarri, S. (2010). Food acceptance: The role of consumer perception and attitudes. Chemosensory Perception, 3, 42–50.

Dean, M., Spence, M., Hodgkins, C., & Raats, M.M. (2014). Front-of-pack (FOP) labelling of foods and beverages, in: Advances in Food and Beverage Labelling: Information and Regulations. Elsevier Inc., pp. 113–131.

Dehlholm, C., Brockhoff, P.B., & Bredie, W. L. P. (2012). Confidence ellipses: A variation based on parametric bootstrapping applicable on Multiple Factor Analysis results for rapid graphical evaluation. Food Qual. Prefer., 26, 278–280.

Deliza, R., de Alcantara, M., Pereira, R., & Ares, G. (2020). How do different warning signs compare with the guideline daily amount and traffic-light system? Food Qual. Prefer., 80, 103821.

Gębski, J., Jezewska-Zychowicz, M., Szlachciuk, J., & Kosicka-Gębska, M. (2019). Impact of nutritional claims on consumer preferences for bread with varied fiber and salt content. Food Qual. Prefer., 76, 91–99.

Gil-Pérez, I., Rebollar, R., Lidón, I., Martín, J., van Trijp, H. C. M., & Piqueras-Fiszman, B. (2019). Hot or not? Conveying sensory information on food packaging through the spiciness-shape correspondence. Food Qual. Prefer., 71, 197–208.

Gislason, S., Bruhn, S., Christensen, A. M., Christensen, M. T., Hansen, M. G., Kha, T. T., & Giacalone, D. (2020). The influence of bottle design on perceived quality of beer: A conjoint analytic study. Beverages, 6, 1–11.

Green, P. E., & Srinivasan, V. (1990). Conjoint Analysis in Marketing: New Developments with Implications for Research and Practice. Journal of Marketing, 54(4), 3-19.

Grunert, K. G., 2007. How consumers perceive food quality, in: Understanding Consumers of Food Products. Elsevier Ltd, pp. 181–199.

Hyldelund, N.B., Worck, S., & Olsen, A. (2020). Convenience may increase vegetable intake among young consumers. Food Qual. Prefer., 83, 103925.

Jaeger, S. R. (2006). Non-sensory factors in sensory science research. Food Qual. Prefer., 17, 132-144.

Khandpur, N., de Morais Sato, P., Mais, L. A., Bortoletto Martins, A., Spinillo, C. G., et al. (2018). Are Front-of-Package Warning Labels More Effective at Communicating Nutrition Information than Traffic-Light Labels? A Randomized Controlled Experiment in a Brazilian Sample. Nutrients, 10, 688.

Köster, E. P. (2009). Diversity in the determinants of food choice: A psychological perspective. Food Qual. Prefer., 20(2), 70-82.

Kuznetsova, A., Brockhoff, P. B., & Christensen, R. H. B. (2017). lmerTest Package: Tests in Linear Mixed Effects Models . J. Stat. Softw., 82(13), 1-26.

Lawless, H. (1995). Dimensions of sensory quality: A critique. Food Qual. Prefer., 6, 191–199.

Lê, S., Josse, J., & Husson, F. (2008). FactoMineR: An R package for multivariate analysis. J. Stat. Softw., 25, 1–18.

Lê, S., Lê, T. M., & Cadoret, M. (2015). Napping and sorted Napping as a sensory profiling technique, in: Rapid Sensory Profiling Techniques and Related Methods: Applications in New Product Development and Consumer Research. Elsevier Inc., pp. 197–213.

Lim, S. Y., Kim, H. J., Yoo, & S. H. (2018). Assessing the external benefits of contaminated soil remediation in Korea: a choice experiment study. Environ. Sci. Pollut. Res., 25, 17216–17222.

Lima Filho, T., Della Lucia, S. M., Lima, R. M., & Minim, V. P. R. (2015). Conjoint analysis as a tool to identify improvements in the packaging for irradiated strawberries. Food Res. Int., 72, 126-132.

Martins, I. B. A., Rosenthal, A., Ares, G., & Deliza, R. (2020). How do processing technology and formulation influence consumers’ choice of fruit juice? Int. J. Food Sci. Technol., 55, 2660–2668.

Ministerio de Salud de Santiago de Chile (2015). Ministerio de Salud Decreto número 13, de 2015. Santiago de Chile.

Ministerio de Salud del Perú (2018). El Peruano - Aprueban Manual de Advertencias Publicitarias en el marco de lo establecido en la Ley N° 30021, Ley de promoción de la alimentación saludable para niños, niñas y adolescentes, y su Reglamento aprobado por Decreto Supremo N° 017-2017-SA - DECR. El Peru. 58–63.

Ministerio de Salud Pública de Montevideo (2018). Ministerio de Salud PúblicaDecreto N°272/18 Montevideo.

Pagès, J., & Husson, F. (2013). Multiple factor analysis: Presentation of the method using sensory data, in: Mathematical and Statistical Methods in Food Science and Technology. John Wiley & Sons, Ltd, Chichester, UK, pp. 87–102.

Pan American Health Organization (2016). Nutrient Profile Model. Available in: https://iris.paho.org/bitstream/handle/10665.2/18621/9789275118733_eng.pdf

Piqueras-Fiszman, B., Velasco, C., Salgado-Montejo, A., & Spence, C. (2013). Using combined eye tracking and word association in order to assess novel packaging solutions: A case study involving jam jars. Food Qual. Prefer., 28, 328–338.

R Core Development Team (2019). R: A language and environment for statistical computing. Vienna, Austria.

Raz, C., Piper, D., Haller, R., Nicod, H., Dusart, N., & Giboreau, A. (2008). From sensory marketing to sensory design: How to drive formulation using consumers’ input? Food Qual. Prefer., 19(8), 719-726.

Rebollar, R., Gil, I., Lidón, I., Martín, J., Fernández, M. J., & Rivera, S. (2017). How material, visual and verbal cues on packaging influence consumer expectations and willingness to buy: The case of crisps (potato chips) in Spain. Food Res. Int., 99, 239–246.

Roininen, K., Lähteenmäki, L., & Tuorila, H. (1999). Quantification of consumer attitudes to health and hedonic characteristics of foods. Appetite, 33, 71–88.

Rojas-Rivas, E., Antúnez, L., Cuffia, F., Otterbring, T., Aschemann-Witzel, J., Giménez, A., & Ares, G. (2020). Time orientation and risk perception moderate the influence of sodium warnings on food choice: Implications for the design of communication campaigns. Appetite, 147, 104562.

Román, S., Sánchez-Siles, L. M., & Siegrist, M. (2017). The importance of food naturalness for consumers: Results of a systematic review. Trends Food Sci. Technol., 67, 44–57.

Sáenz-Navajas, M. P., Campo, E., Sutan, A., Ballester, J., & Valentin, D. (2013). Perception of wine quality according to extrinsic cues: The case of Burgundy wine consumers. Food Qual. Prefer., 27, 44–53.

Saldaña, E., Martins, M. M., Behrens, J. H., Valentin, D., Selani, M. M., & Contreras-Castillo, C.J. (2020). Looking at non-sensory factors underlying consumers’ perception of smoked bacon. Meat Sci., 163, 108072.

Saldaña, E., Rios-Mera, J., Arteaga, H., Saldaña, J., Samán, C. M., Selani, M. M., & Villanueva, N. D. M. (2018). How does starch affect the sensory characteristics of mazamorra morada? A study with a dessert widely consumed by Peruvians. Int. J. Gastron. Food Sci., 12, 22–30.

Saldaña, E., Saldarriaga, L., Cabrera, J., Siche, R., Behrens, J. H., et al. (2019). Relationship between volatile compounds and consumer-based sensory characteristics of bacon smoked with different Brazilian woods. Food Res. Int., 119, 839–849.

Salvador-Reyes, R., & Clerici, M. T. P. S. (2020). Peruvian Andean maize: General characteristics, nutritional properties, bioactive compounds, and culinary uses. Food Res. Int., 130, 108934.

Shepherd, R., & Raats, M. (2010). The Psychology of Food Choice, Frontiers in nutritional science. CABI. 384 pp.

Steptoe, A., Pollard, T. M., & Wardle, J. (1995). Development of a Measure of the Motives Underlying the Selection of Food : the Food Choice Questionnaire Department of Psychology , St George ’ s Hospital Medical School , London. Appetite, 25, 267–284.

Valentin, D., Chollet, S., Nestrud, M., & Abdi, H. (2018). Projective Mapping & Sorting Tasks, in: Kemp, S.E., Hort, J., Hollowood, T. (Eds.), Descriptive Analysis in Sensory Evaluation, Wiley Online Books. John Wiley & Sons Ltd.

Valentin, D., & Gomez-Corona, C. (2018). Using Ethnography in Consumer Research, in: Methods in Consumer Research, Volume 1: New Approaches to Classic Methods. Elsevier, pp. 103–123.

van Kleef, E., van Trijp, H. C. M., & Luning, P. (2005). Consumer research in the early stages of new product development: A critical review of methods and techniques. Food Qual. Prefer., 16(3), 181-201.

Varela, P., Antúnez, L., Berget, I., Oliveira, D., Christensen, K., et al. (2017). Influence of consumers’ cognitive style on results from projective mapping. Food Res. Int., 99, 693–701.

Varela, P., & Ares, G. (2012). Sensory profiling, the blurred line between sensory and consumer science. A review of novel methods for product characterization. Food Res. Int., 48(2), 893-908.

Varela, P., Ares, G., Giménez, A., & Gámbaro, A. (2010). Influence of brand information on consumers’ expectations and liking of powdered drinks in central location tests. Food Qual. Prefer., 21, 873–880.

Publicado

2021-08-20

Cómo citar

Saldaña, E., Samán, C. ., Saldaña, J. ., & Ambrosio, C. M. S. . (2021). Non-sensory factors driving the packaging design of ready-to-eat mazamorra morada based on consumer perception. Scientia Agropecuaria, 12(3), 421-428. https://doi.org/10.17268/sci.agropecu.2021.046

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