The Assessment of Customer Behavior, Intention and Preference of Bamboo Shoot-processed Food from Small and Medium Enterprises Products, Prachinburi, Thailand
Division of Food Science and Technology Management, Faculty of Science and Technology, Rajamangala University of Technology Thanyaburi, Pathum Thani 12110, Thailanda
Division of Food Science and Technology Management, Faculty of Science and Technology, Rajamangala University of Technology Thanyaburi, Pathum Thani 12110, Thailand
Division of Food Science and Technology Management, Faculty of Science and Technology, Rajamangala University of Technology Thanyaburi, Pathum Thani 12110, Thailand
Sirichat Chanadang
Agro‑Industrial Research and Development Center, Faculty of Agricultural Product Innovation and Technology, Srinakharinwirot University, Nakhon Nayok 26120, Thailand
Division of Food Science and Technology Management, Faculty of Science and Technology, Rajamangala University of Technology Thanyaburi, Pathum Thani 12110, Thailand
DOI: https://doi.org/10.36956/rwae.v6i1.1518
Received: 26 November 2024 | Revised: 24 December 2024 | Accepted: 26 December 2024 | Published Online: 19 February 2025
Copyright © 2024 Sasiprapha Asawawibul , Janejira Phakawan, Saifon Photisuwan, Sirichat Chanadang, Kittikoon Wannasawad. Published by Nan Yang Academy of Sciences Pte. Ltd.
This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.
Abstract
Bamboo shoots are a well-known dish in Thailand, particularly the Tong Sriprachin variety, produced by small businesses in Prachinburi, a region known for its commercial potential. However, there is an opportunity to enhance this product and sell it for different market segmentation. This study explores consumer behavior, intentions and preferences of local products using a mixed methods approach. Qualitative focus group discussions with actors in the bamboo food supply chains revealed 25 marketing mix items, which were further analysed using an online consumer survey. Multivariate analyses highlighted the key factors. The logistic regression showed significant overall acceptance (P<0.05) for boiled and pickled bamboo shoots, which are the original products. Meanwhile, preserved bamboo shoots, kimchi bamboo shoots and bamboo shoot soup also received significant acceptance (P<0.05) based on their colour and appearance. This suggests a growing awareness of food attributes in new products, which results in the purchase probability. Principal Component Analysis (PCA) mapping revealed that factors such as deliciousness, safety and convince significantly influence purchase intentions. Price remains the primary concern for original products, but nutrition and food standards also impact purchasing decisions for new products. Consumer preference quantitative assessments indicated that original products scored higher in sensory evaluations than new products. Colour, flavour, and texture in new product development must align with intentions and also market segments. Entrepreneurs are encouraged to optimize pricing and management and utilize appropriate technology to enhance competitiveness based on local resources and innovative products.
Keywords: Bamboo Shoot; Consumer Survey; Focus Group Discussion; Local Enterprise; Multivariate analysis; Principal Component Analysis; Sensory Evaluation
References
[1] Feldmann, C., Hamm, U., 2015. Consumers' perceptions and preferences for local food: A review. Food Quality and Preference. 40, 152-164. DOI: https://doi.org/10.1016/j.foodqual.2014.09.014
[2] Zepeda, L., Deal, D., 2009. Organic and local food consumer behaviour: Alphabet Theory. International Journal of Consumer Studies, 33(6), 697-705. DOI: https://doi.org/10.1111/j.1470-6431.2009.00814.x
[3] Grebitus, C., Menapace, L., Bruhn, M., et al., 2011. Consumers' use of seals of approval and origin information: evidence from the German pork market. Agribusiness, 27(4), 478-492. DOI: https://doi.org/10.1002/agr.20278
[4] Gu, S., Wu, Y., 2019. Using the theory of planned behaviour to explain customers' online purchase intention. World Scientific Research Journal. 5(9), 226-249. DOI: https://doi.org/10.6911/WSRJ.201909_5(9).0026
[5] Tempesta, T., Vecchiato, D., 2013. An analysis of the territorial factors affecting milk purchase in Italy. Food Quality and Preference, 27(1), 35-43. DOI: https://doi.org/10.1016/j.foodqual.2012.06.005
[6] Ajzen, I., 1991. The theory of planned behavior. Organizational behavior and human decision processes. 1991, 50(2), 179-211. DOI: https://doi.org/10.1016/0749-5978(91)90020-T
[7] Campbell, B. L., Mhlanga, S., Lesschaeve, I., et al., 2013. Perception versus reality: Canadian consumer views of local and organic. Canadian Journal of Agricultural Economics, 61(4), 531-558. DOI: https://doi.org/10.1111/j.1744-7976.2012.01267.x
[8] Dodds, W.B., Monroe, K.B., Grewal, D., et al., 1991. Effects of price, brand, and store information on buyers' product evaluations. Journal of Marketing Research. 28(3), 307-319. DOI: https://doi.org/10.2307/3172866
[9] Li, J., Guo, F., Xu, J., et al., 2022. What influences consumers' intention to purchase innovative products: Evidence from China. Frontier Psychology. 13, 1-10. DOI: https://doi.org/10.3389/fpsyg.2022.838244
[10] Spears, N., Singh, S.N., 2004. Measuring Attitude toward the Brand and Purchase Intentions. Journal of Current Issues & Research in Advertising. 26(2), 53-66. DOI: https://doi.org/10.1080/10641734.2004.10505164
[11] Brown, C., Miller, S., 2008. The impacts of local markets: A review of research on farmers markets and community supported agriculture. American Journal of Agricultural Economics. 90(5), 1296-1302. DOI: https://www.jstor.org/stable/i20492366
[12] Holloway, L., Kneafsey, M., Venn, L., Cox, R., Dowler, E., Tuomainen, H., et al., 2007. Possible food economies: A methodological framework for exploring food production-consumption relationships. Sociologia Ruralis, 28(1), 1-19. DOI: https://doi.org/10.1111/j.1467-9523.2007.00427.x
[13] Ilbery, B., Morris, C., Buller, H., Maye, D., Kneafsey, M., et al., 2005. Product, process, and place - An examination of food marketing and labelling schemes in Europe and North America. European Urban and Regional Studies. 12(2), 116-132. DOI: https://doi.org/10.1177/0969776405048499
[14] Campbell, B. L., Mhlanga, S., Lesschaeve, I., et al., 2013. Perception versus reality: Canadian consumer views of local and organic. Canadian Journal of Agricultural Economics, 61(4), 531-558. DOI: https://doi.org/10.1111/j.1744-7976.2012.01267.x
[15] Hersleth, M., Naes, T., Rodbotten, M., Lind, V., Monteleone, E., et al., 2012. Lamb meat - Importance of origin and grazing system for Italian and Norwegian consumers. Meat Science. 90, 899-907. DOI: https://doi.org/10.1016/j.meatsci.2011.11.030
[16] Costanigro, M., Kroll, S., Thilmany, D., Bunning, M., et al., 2014. Is it love for local/ organic or hate for conventional? Asymmetric effects of information and taste on label preferences in an experimental auction. Food Quality and Preference. 31, 94-105. DOI: https://doi.org/10.1016/j.foodqual.2013.08.008
[17] Avijit, H., Nithya, G., 2017. Biostatistics series module 10: Brief overview of multivariate methods. Indian Journal of Dermatology, 62(4), 358-366. DOI: https://doi.org/10.4103/ijd.IJD_296_17
[18] Hailey, S.H., Jeong, M.Y., Zapata-Cuervo, N., Montes Guerra, M.I., Cho, M.H., Kim, Y.S., et al., 2023. Effects of customers' perceived risks of sharing economy on self-protective behavior toward COVID-19. International Journal of Contemporary Hospitality Management. 35(4), 1304-1311. DOI: https://doi.org/10.1108/IJCHM-12-2021-1547
[19] Li, H., Sun, J., 2011. Empirical research of hybridizing principal component analysis with multivariate discriminant analysis and logistic regression for business failure prediction. Expert Systems with Applications. 38, 6244-6253. DOI: https://doi.org/10.1016/j.eswa.2010.11.043
[20] Granato, D., Santosa, J.S., Eschera, G.B., et a., 2018. Use of principal component analysis (PCA) and hierarchical cluster analysis (HCA) for multivariate association between bioactive compounds and functional properties in foods: A critical perspective. Trends in Food Science & Technology. 72, 83-90. DOI: https://doi.org/10.1016/j.tifs.2017.12.006
[21] Wang, Y., Chen, J., Wang, D., et al., 2020. A systematic review on the composition, storage, and processing of bamboo shoots: Focusing on nutritional and functional benefits. Journal of Functional Foods. 71(104015), 1-16. DOI: https://doi.org/10.1016/j.jff.2020.104015
[22] Kovács, I., Lendvai, M.B., Beke, J., et al., 2022. The importance of food attributes and motivational factors for purchasing local food products: Segmentation of young local food consumers in Hungary. Sustainability. 14(6), 1-14.
[23] De Canio, F., Martinelli, E., 2021. EU Quality label vs. organic food products: A multigroup structural equation modeling to assess consumers' intention to buy in light of sustainable motives. Food Research International. 139(190846), 1-9. DOI: https://doi.org/10.1016/j.foodres.2020.109846
[24] Singhal. P., Bal, L.M. Satya, S., Sudhakar, P., Naik, S.N., et al., 2013. Bamboo shoots: A novel source of nutrition and medicine. Critical Reviews in Food Science and Nutrition. 53(5), 517-534.
[25] Chonsakorn, S., Chombhuphan, R., Rattanaporn, K., Srivorradatphisan, S., Ruangnarong, C., Khojitmate, S., et al., 2024. A novel non-woven fabric from bamboo fiber in medical lifestyle products. Heliyon. 10(e29893), 1-9. DOI: https://doi.org/10.1016/j.heliyon.2024.e29893
[26] Rajamangala University of Technology Thanyaburi, 2022. Local economic empowerment for sustainable of business model and marketing network base on bamboo resources in Prachinburi province by co-supply chain knowledge. A17F640110, 25 July 2022.
[27] Zhang, Y., Wu, L.G., Li, Y.X., Yang, J.L., Yang, H.M., Zhao, Y.H., Chen, G.J., et al., 2024. Bamboo shoot and its food applications in last decade: An undervalued edible resource from forest to feed future people. Trends in Food Science & Technology. 146(104399), 1-16. DOI: https://doi.org/10.1016/j.tifs.2024.104399
[28] Rai, S., Wai, P.P., Koirala, P., Bromage, S., Nirmal, N.P., Pandiselvam, R., Nor-Khaizura, M.R., Mehta, N.K., et al., 2023. Food product quality, environmental and personal characteristics affecting consumer perception toward food. Frontiers in Sustainable Food Systems. 7(1222760), 1-13. DOI: https://doi.org/10.3389/fsufs.2023.1222760
[29] Charoenrat, T., Harvie, C., 2017. Thailand's SME participation in ASEAN and East Asian regional economic integration. Journal of Southeast Asian Economies. 34(1), 48-74. DOI: https://www.jstor.org/stable/44684451
[30] Buvé, C., Saeys, W., Rasmussen, M.A., Neckebroeck, B., Hendrickx, M., Grauwet, T., Van Loey, A., et al., 2022. Application of multivariate data analysis for food quality investigations: An example-based review. Food Research International. 151(110878), 1-15. DOI: https://doi.org/10.1016/j.foodres.2021.110878
[31] Van der Stricht, H., Hung, Y., Fischer, A.R.H., Verbeke, W., et al., 2024. Consumer segments less or more willing to adopt foods with microalgae proteins. Food Quality and Preference. 113(105047), 1-13. DOI: https://doi.org/10.1016/j.foodqual.2023.105047
[32] Karnreungsiri, I., Praditsuwan, N., 2019. Factors influencing buying behavior and buying decision process of customers: An examination on relationship using one-way analysis of variance. Asian Interdisciplinary and Sustainability Review. 6(2), 76-84. DOI: https://so05.tci-thaijo.org/index.php/psakuijir/article/view/217184
[33] Chokenukul, P., Sukhabot, S., Rinthaisong, I., et al., 2019. A causal relationship model of purchasing behavior of consumers in Thailand regarding processed fish products. Kasetsart Journal of Social Sciences. 40(2), 366-372. DOI: https://so04.tci-thaijo.org/index.php/kjss/article/view/242163
[34] Sgroi, F., Sciortino, C., Baviera-Puig, A., Modica, F., et a., 2024. Analyzing consumer trends in functional foods: A cluster analysis approach. Journal of Agriculture and Food Research. 15(101041), 1-8. DOI: https://doi.org/10.1016/j.jafr.2024.101041
[35] Peulić, T., Marić, A., Maravić, N., Novaković, A., Pivarski, B.K., Ĉabarkapa, I., Lazarević, J., Šmugović, S., Ikonić, P., et al., 2023. Consumer Attitudes and Preferences towards Traditional Food Products in Vojvodina. Sustainability. 15(12420), 1-17. DOI: https://doi.org/10.3390/su151612420
[36] Salam, M., Rukka, R.M., Samma, K., Tenriawaru, M.A.N., Rahmadanih, A.N., Muslim, A. I., Ali, H.N.B., Ridwan, M., et al. 2024. The causal-effect model of input factor allocation on maize production: using binary logistic regression in search for ways to be more productive. Journal of Agriculture and Food Research. 16(101094), 1-15. DOI: https://doi.org/10.1016/j.jafr.2024.101094
[37] Sperandei S., M 2014. logistic regression analysis. Biochemia Medica (Zagreb). 24(1), 12-18. DOI: https://doi.org/10.11613/BM.2014.003. PMID: 24627710; PMCID: PMC3936971.
[38] Ospina, P.A., Nydam, D.V., DiCiccio, T.J., et al., 2012. Technical note: the risk ratio, an alternative to the odds ratio for estimating the association between multiple risk factors and a dichotomous outcome. Journal of Dairy Science. 95 (5), 2576–2584. DOI: https://doi.org/10.3168/jds.2011-4515
[39] Zhao, G.Q., Chen, H.L., Liu, S.F., Dennehy, D., Jones, P., Lopez, C., et al, 2023. Analysis of factors affecting cross-boundary knowledge mobilization in agri-food supply chains: An integrated approach. Journal of Business Research. 164(114006), 1-20. DOI: https://doi.org/10.1016/j.jbusres.2023.114006
[40] Ferrero, A., Zanchini, R., Ferrocino, I., D'Ambrosio, S., Daniele Michele Nucera, D.M., et al., 2022. Consumers and food safety: Application of metataxonomic analyses and multivariate statistics in order to identify behaviours affecting microbial contaminations in household kitchens. Food Control. 141(109158), 1-10. DOI: https://doi.org/10.1016/j.foodcont.2022.109158
[41] Meilgaard, M., Civille, G.V., Carr, B.T., 2016. Sensory evaluation techniques. ,5th ed. CRC Press: Boca Raton, FL, USA. pp. 630
[42] Mollaei, S., Minaker, L.M., Lynes, K., Dias, G.M., et al., 2023. Perceptions and determinants of adopting sustainable eating behaviours among university students in Canada: a qualitative study using focus group discussions. International Journal of Sustainability in Higer Education. 24(9), 252-298. DOI: https://doi.org/10.1108/IJSHE-11-2022-0373
[43] Nguyen Viet, B., & Nguyen Anh, T. (2021). The role of selected marketing mix elements in consumer based brand equity creation: milk industry in Vietnam. Journal of Food Products Marketing, 27(2), 72–88. DOI: https://doi.org/10.1080/10454446.2021.1892007
[44] Pruksa, S., Sripoona, S., Lowirakorn, S., Chaitokkia, S., & Hutchinson, C. (2022). Supporting sustainable development by identifying ways to enhance and conserve local food wisdom, Loei Province, Thailand. Sustainability, 14(12), 6978. DOI: https://doi.org/10.3390/su14126978
[45] Singhal. P., Bal, L.M. Satya, S., Sudhakar, P., Naik, S.N., et al., 2013. Bamboo Shoots: A Novel Source of Nutrition and Medicine. Critical Reviews in Food Science and Nutrition. 53(5), 517-534. DOI: https://doi.org/10.1080/10408398.2010.531488
[46] Acharya, B., Behera, A., Sahu, P. K., Dilnawaz, F., Behera, S., Chowdhury, B., & Mishra, D. P. (2023). Bamboo shoots: an exploration into its culinary heritage in India and its nutraceutical potential. Journal of Ethnic Foods, 10(1), 22. DOI: https://doi.org/10.1186/s42779-023-00190-7
[47] Valderrama, C., Olstad, D.L., Lee, Y.Y., Lee, J., et al., 2023. Identifying factors that shape whether digital food marketing appeals to children. Public Health Nutrition. 26(6), 1125–1142. DOI: https://doi.org.10.1017/S1368980023000642
[48] Aisyah, I.S., Khomsan, A., Tanziha, I., Ritadi, H., et al., 2024. A Multiple logistic regression analysis of household food and nutrition insecurity in stunting and non-stunting toddlers. Current Research in Nutrition and Food Science, 12(1), 452-561. DOI: https://doi.org//10.12944/CRNFSJ.12.1.36
[49] Villacis, A.H., Kopp, T., Mishra, A.K., et al., 2024. Agricultural marketing channels and market prices: Evidence from high-value crop producers in India. Economic Analysis and Policy. 81, 1308-1321. DOI: https://doi.org/10.1016/j.eap.2024.02.004
[50] Kimaro, N.J , Timothy, S., Mgale, Y.J.,et al. 2023. Exploring consumer preferences for locally produced wine in the Tanzanian market: Evidence from wine consumers in Dodoma city. Research on World Agricultural Economy. 05(1), 1-13. DOI: https://doi.org/10.36956/rwae.v5i1.965
[51] Tsai, M.M., Frongillo, E.A., Ritchie, L.D., Woodward-Lopez, G., Au, L.E., et al., 2021. Factor analysis reduces complex measures of nutrition environments in US elementary and middle schools into cohesive dimensions in the healthy communities study. The Journal of Nutrition. 151(5), 1-8. DOI: https://doi.org/10.1093/jn/nxaa450
[52] Ude, K.D., Osuafor, O.O., Ofoha, D.C., et al., 2022. Awareness, attitude and behavioural intention of medium and large scale poultry producers to poultry waste management practices in Lagos State: A Principal component analysis. NASS Journal of Agricultural Sciences. 4(1), 1-16. DOI: https://doi.org/10.36956/njas.v4i1.472
[53] Günden, C., Atakan, P., Yercan, M., Mattas, K., & Knez, M. (2024). Consumer response to novel foods: A review of behavioral barriers and drivers. Foods, 13(13), 1-18. DOI: https://doi.org/10.3390/foods13132051
[54] Giacalone, D., & Jaeger, S. R. (2023). Consumer acceptance of novel sustainable food technologies: A multi-country survey. Journal of Cleaner Production, 408, 137119, 1-18. DOI: https://doi.org/10.1016/j.jclepro.2023.137119
[55] Andric, A., Milicic, M., Bojanic, M., Obradovic, V., Zorić, L. S., Petrovic, M., & Gadjanski, I. (2023). Survey on public acceptance of insects as novel food in a non-EU country: a case study of Serbia. Journal of Insects as Food and Feed, 1(aop), 1-16. DOI: https://doi.org/10.1163/23524588-20230024
[56] Park, S. Y. (2022). Korean Consumers' Perceptions of Unfamiliar Subtropical Vegetables: The Potential Effect of the Use of Social Media. Food Studies, 13(1), 89-105. DOI: https://doi.org/10.18848/2160-1933/CGP/v13i01/89-105
[57] Gomez-Limia, L., Carballo, J., Rodríguez-Gonzalez, M., Martínez, S., et al., 2022. Impact of the filling medium on the colour and sensory characteristics of canned European Eels (Anguilla anguilla L.). Foods (Basel, Switzerland), 11(8), 1-15. DOI: https://doi.org/10.3390/foods11081115
[58] Roiaini, M., Ardiannie, T., & Norhayati, H. (2015). Physicochemical properties of canola oil, olive oil and palm olein blends. International Food Research Journal, 22(3), 1227-1233.
[59] Sansenya, S., Payaka, A., & Mansalai, P., 2023. Biological activity and inhibition potential against α-glucosidase and α-amylase of 2,4-di-tert-butylphenol from bamboo shoot extract by in vitro and in silico studies. Process Biochemistry, 126, 15-22. DOI: https://doi.org/10.1016/j.procbio.2022.12.033
[60] Santosh, O., Chongtham, N., Bajwa, H., et al., 2024. Fortification of noodles with processed bamboo shoots: Evaluating the impact on nutritional composition, antioxidant activity and sensory characteristics. Advances in Bamboo Science, 8(100098), 1-9. DOI: https://doi.org/10.1016/j.bamboo.2024.100089