Savouring Peru through Tourists' Profiles: An Artificial Neural Networks Perspective
DOI:
https://doi.org/10.25145/j.pasos.2027.25.012Keywords:
gastronomic tourism, tourist behaviour, market segmentation, artificial neural networks, PeruAbstract
This study aims to determine the variations occurring across different constructs concerning the importance of gastronomy — motivation to travel, willingness to visit specific destinations, gastronomic aspects and experiences, and emotions — in accordance with tourists' sociodemographic profiles (age, gender, university education, and income). Based on 1,042 valid questionnaires, an artificial neural network (ANN) was developed using sociodemographic profile characteristics as input variables. This approach is useful for developing products and services tailored to tourists interested in gastronomy. The results indicate that age is the most influential variable in the model, with younger tourists attributing higher values to the constructs examined. These findings contribute to the body of research on gastronomic tourism in Peru and offer practical guidance for market segmentation and the management of tourist destinations.
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References
Abdelhamied, H. H. S. (2011). Customers´ perceptions of floating restaurants in Egypt. Anatolia An International Journal of Tourism and Hospitality Research, 22(1), 1-15. https://doi.org/10.1080/13032917.2011.556212
Aguilar-Rivero, M., Solano-Sánchez, M. Á., López-Guzmán, T. & Moral-Cuadra, S. (2026). Lights! Camera! Action! Unveiling film tourists’ profile. Journal of Cultural Heritage Management and Sustainable Development, 16(4). 800-814. https://doi.org/10.1108/JCHMSD-11-2023-0196
Agyeiwaah, E., Otto, F., Sintikul, W. & Huang, W-J. (2019). Understanding culinary tourist motivation, experience, satisfaction, and loyalty using a structural approach. Journal of Travel & Tourism Marketing, 36, 259-313. https://doi.org/10.1080/10548408.2018.1541775
Akhoondnejad, A. (2024). A comprehensive understanding of memorable experiences in food tourism. Consumer Behavior in Tourism and Hospitality, 19(3), 447-461. https://doi.org/10.1108/CBTH-08-2023-0132
Alderighi, M., Nicolini, M. & Piga, C. A. (2016). Targeting leisure and business passengers with unsegmented pricing. Tourism Management, 54, 502-512. https://doi.org/10.1016/j.tourman.2015.12.014
Anubha, Hussain, S., Gavinolla, M. R., Gowreesunkar, V. G. B. & Swain, S. K. (2023). Retrospective overview on global food tourism and related research: a bibliometric analysis. Journal of Foodservice Business Research, 28(1), 65-94. https://doi.org/10.1080/15378020.2023.2228672
Barbosa, J. W. de Q., Dias, M. C. C. & Ferreira, L. V. F. (2024). Affinity in Adversity: Examining Brand Love and Online Customer Engagement in the Restaurant Industry. Tourism & Management Studies, 20(4), 47-62. https://doi.org/10.18089/tms.20240404
Basil, M. D. & Basil, D. Z. (2009). Reflections of ultra-fine dining experiences. In Lindgreen, A., Vanhammed, J. & Bervelan, M. B. (eds.). Memorable customer experiences: A research anthology (135-147). Gower Publishing Company.
Berbel-Pineda, J.M., Palacios-Florencio, B., Ramírez-Hurtado, J. M. & Santos-Roldán, L. (2019). Gastronomic experience as a factor of motivation in the tourist movements. International Journal of Gastronomy and Food Science, 18, 100171. https://doi.org/10.1016/j.ijgfs.2019.100171
Björk, P. & Kauppinen-Räisänen, H. (2017). A destination´s gastronomy as a means for holiday well-being. British Food Journal, 119(7), 1578-1591. https://doi.org/10.1108/BFJ-09-2016-0394
Buitrago-Esquinas, E. M., Yñiguez-Ovando, R., Puig-Cabrera, M., Custódio Santos, M. & Santos, J. A. C. (2024). Artificial intelligence and sustainable tourism planning: A hetero-intelligence methodology proposal. Tourism & Management Studies, 20(SI), 45-59. https://doi.org/10.18089/tms.2024SI04
Cabeza-Ramírez, L. J., Rey-Carmona, F. J., Cano-Vicente, M. C. & Solano-Sánchez, M. Á. (2022). Analysis of the coexistence of gaming and viewing activities in Twitch users and their relationship with pathological gaming: a multilayer perceptron approach. Scientific Reports, 12(1), 7904. https://doi.org/10.1038/s41598-022-11985-0
Carvalho, M., Kastenhoiz, E., Carneiro, M. J. & Souza, L. (2023). Co-creation of food tourism experiences: Tourists´ perspectives of a Lisbon food tour. Tourist Studies, 23(2), 128-148. https://doi.org/10.1177/14687976231168941
Correia, A., Kozak, M. & Ferradeira, J. (2013). From tourist motivations to tourist satisfaction. International Journal of Culture, Tourism and Hospitality Research, 7(4), 411-424. https://doi.org/10.1108/IJCTHR-05-2012-0022
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297-334. https://doi.org/10.1007/BF02310555
Du Rand, G. E., Heath, E. & Alberts, N. (2003). The role of local and regional food in destination marketing: A South African situation analysis. Journal of Travel and Tourism Marketing, 14(3/4), 37-52. https://doi.org/10.1300/J073v14n03_06
Ellis, A., Park, E., Kim, S. & Yeoman, I. (2018). What is food tourism? Tourism Management, 68, 250-263. https://doi.org/10.1016/j.tourman.2018.03.025
Fields, K. (2002). Demand for the gastronomy tourism product. Motivational factors. In Hjalager, A. M. & Richards, G. (Eds.). Tourism and Gastronomy (pp. 36-50). Routledge.
García-García, L., Solano-Sánchez, M. Á., Muñoz-Fernández, G. A. & Moral-Cuadra, S. (2023). Flamenco experience in Córdoba, Spain: estimating tourist profiles by multilayer perceptron’s artificial neural networks. Journal of Cultural Heritage Management and Sustainable Development, 13(4), 609-624. https://doi.org/10.1108/JCHMSD-06-2021-0109
Getz, D., Robinson, R., Anderson, T. & Vujicic, S. (2014). Foodies and food tourism. Goodfellow.
Ghatak, I. & Chatterjee, S. (2018). Urban street vending practices: an investigation of ethnic food safety knowledge, attitudes, and risks among untrained Chinese vendors in Chinatown, Kolkata. Journal of Ethnic Foods, 5, 272-285. https://doi.org/10.1016/j.jef.2018.11.003
Hair, J. F. Page, M. & Brunsveld, N. (2019). Essentials of business research methods. Routledge. https://doi.org/10.4324/9780429203374
Hall, M. C., Sharples, L., Mitchell, R., Macionis, N. & Cambourne, B. (2003). Food tourism around the World. Butterworth-Heinemann.
Hjalager, A.M. (2004). What do tourists eat and why? Towards a sociology of gastronomy and tourism. Tourism, 52(2), 195-201.
Ignatov, E. & Smith, S. (2006). Segmenting Canadian culinary tourists. Current Issues in Tourism, 9(3), 235-255. https://doi.org/10.2167/cit/229.0
Ji, M., Wong, F. A., Eves, A. & Scarles, C. (2016). Food-related personality traits and the moderating role of novelty-seeking in food satisfaction and travel outcome. Tourism Management, 57, 387-396. https://doi.org/10.1016/j.tourman.2016.06.003
Jiménez Beltrán, J., López-Guzmán, T. & González Santa-Cruz, F. (2016). Gastronomy and tourism: profile and motivation of international tourism in the city of Córdoba, Spain. Journal of Culinary Science & Technology, 14(4), 350-366. https://doi.org/10.1080/15428052.2016.1160017
Kim, Y. G., Eves, A. & Scarles, C. (2013). Empirical verification of a conceptual model of local consumption at a tourist destination. International Journal of Hospitality Management, 33, 484-489. https://doi.org/10.1016/j.ijhm.2012.06.005
Levitt, J. A., Zhang, P, Di Pietro, R. B. & Meng, F. (2019). Food tourist segmentation: Attitude, behavioral intentions and travel planning behavior based on food involvement and motivation. International Journal of Hospitality & Tourism Administration, 20(2), 129-155. https://doi.org/10.1080/15256480.2017.1359731
López-Guzmán, T., Uribe-Lotero, C. P., Pérez-Gálvez, J.C. & Ríos-Rivera, I. (2017). Gastronomic festivals: attitude, motivation and satisfaction of the tourist. British Food Journal, 119(2), 267-283. https://doi.org/10.1108/BFJ-06-2016-0246
McKercher, B., Okumus, F. & Okumus, B. (2008). Food Tourism as a Viable Market Segment: It’s All How You Cook the Numbers! Journal of Travel & Tourism Marketing, 25(2), 137-148. https://doi.org/10.1080/10548400802402404
Molina-Collado, A., Santos-Vijande, M. L., Gómez-Rico, M. & Santos del Cerro, J. (2024). Sensory versus personal environment as antecedents of the creative food tourism experience. International Journal of Hospitality Management, 118, 103688. https://doi.org/10.1016/j.ijhm.2023.103688
Moore, Z., Harrison, D. E. & Hair, J. (2021). Data quality assurance begins before data collection and never ends: What marketing researchers absolutely need to remember, International Journal of Market Research, 63(6), 693-714. https://doi.org/10.1177/14707853211052183
Moral-Cuadra, S., Solano, Sánchez, M. Á., Menor-Campos, A. & López-Guzmán, T. (2022). Discovering gastronomic tourists’ profiles through artificial neural networks: analysis, opinions and attitudes. Tourism Recreation Research, 47(3), 347-358. https://doi.org/10.1080/02508281.2021.2002630
Nunnally, J. C. & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.
Otoo, F. E., Kim, S. & Choi. Y. (2020). Understanding senior tourists´ preferences and characteristics based on their overseas travel motivation clusters. Journal of Travel & Tourism Marketing, 37(2), 246-257. https://doi.org/10.1080/10548408.2020.1740136
Park, E. & Kim, S. (2025). ‘Still hungry, not enough’: the past, present, and future of food tourism scholarship. Tourism Geographies, 27(3/4), 819-829. https://doi.org/10.1080/14616688.2024.2423164
Park, K. (2017). Ethnic foodscapes: Foreign cuisines in the United States. Food, Culture & Society, 20(3), 365-393. https://doi.org/10.1080/15528014.2017.1337390
Pavlidis, G. & Markantonatou, S. (2020). Gastronomic tourism in Greece and beyond: a thorough review. International Journal of Gastronomy and Food Science, 21, 100229. https://doi.org/10.1016/j.ijgfs.2020.100229
Pesonen, J., Komppula, R., Kronenberg, C. & Peters, M. (2011). Understanding the relationship between push and pull motivations in rural tourism. Tourism Review, 66(3), 32-49. https://doi.org/10.1108/16605371111175311
Rita, P., Omran, W., Ramos, R. F. & Costa, T. (2025). Exploring the Applications of Artificial Intelligence in Marketing: A Topic Modelling Analysis. Tourism & Management Studies, 21(1), 39-55. https://doi.org/10.18089/tms.20250103
Robinson, R. N. S. Getz, D. & Donilcar, S. (2018). Food tourism subsegments: A data-driven analysis. International Journal of Tourism Research, 20(3), 367-377. https://doi.org/10.1002/jtr.2188
Rumelhart, D. E. & McClelland, J. (1986). Parallel distributed processing: Explorations in the microstructure of cognition. MIT Press. https://doi.org/10.7551/mitpress/5236.001.0001
Salgueiro Rachao, A., Breda, Z., Fernandes, C. & Joukes, V. (2021). Food-and-wine experiences towards co-creation in tourism. Tourism Review, 76(5), 1050-1066. https://doi.org/10.1108/TR-01-2019-0026
Sivrikaya, K. K. & Pekersen, Y. (2020). The impact of food neophobia and sensation seeking of foreign tourists on the purchase intention of traditional Turkish food. International Journal of Gastronomy and Food Science, 21, 100222. https://doi.org/10.1016/j.ijgfs.2020.100222
Solano-Sánchez, M. Á., Mora, D., Hidalgo-Fernández, A. & Moral-Cuadra, S. (2024). Gastrotourists’ profiles through their motivations, opinions, and perceptions: An artificial neural networks approach. International Journal of Tourism Research, 26(3), e2655. https://doi.org/10.1002/jtr.2655
Sujood, Ali, R., Irfan, S. & Hamid, S. (2024). Emerging themes in food tourism: a systematic literature review and research agenda. British Food Journal, 126(1), 372-408. https://doi.org/10.1108/BFJ-11-2022-0939
Taar, J. (2014). The best culinary experience. Factors that create extraordinary eating episodes. Procedia - Social and Behavioral Sciences, 122, 145-151. https://doi.org/10.1016/j.sbspro.2014.01.1317
Ting, H., Tan, S. & John, A. N. (2017). Consumption intention towards ethnic food. Determinants of Dayak food choice by Malaysians. Journal of Ethnic Foods, 4(1), 21-27. https://doi.org/10.1016/j.jef.2017.02.005
Torres Chavarria, L. C. & Phakdee-Auksorn, P. (2017). Understanding international tourists´ attitudes towards street food in Phuket, Thailand. Tourism Management Perspectives, 21, 66-73. https://doi.org/10.1016/j.tmp.2016.11.005
Tzeremes, P. (2022). Analysing the linkage between total factor productivity and tourism growth in Latin American countries. Journal of Economics, Finance and Administrative Science, 27(54), 219-230. https://doi.org/10.1108/JEFAS-08-2019-0179
Ukenna, S. I. & Ayodele, A. A. (2019). Applying the extended Theory of Planned Behavior to predict sustainable Street food patronage in a Developing Economy. Journal of Food Product Marketing, 25(4), 404-434. https://doi.org/10.1080/10454446.2019.1572561
Uslu, A., Recuero-Virto, N., Akdeniz, E. & Blasco-López, F. (2024). The role of authenticity, involvement and experience quality in heritage destinations. Tourism & Management Studies, 20(3), 79-91. https://doi.org/10.18089/tms.20240306
Valverde-Roda, J., Solano-Sánchez, M. Á., García-García, L. & Aguilar-Rivero, M. (2023). Cultural heritage tourism in Granada. A multilayer perceptron approach. Journal of Tourism and Cultural Change, 21(3), 308-327. https://doi.org/10.1080/14766825.2023.2167519
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Copyright (c) 2026 Franklin Cordova-Buiza, Miguel Ángel Solano-Sánchez, Lucía Castaño-Prieto, Tomás López-Guzmán
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