Consumer satisfaction and preferences for enhanced chicken egg attributes in Ghana: an application of extended theory of reasoned action and means-end theory

References

• Ackermann, C. L., & Palmer, A. (2014). The contribution of implicit cognition to the theory of reasoned action model: a study of food preferences. Journal of Marketing Management, 30(5–6), 1–18. https://doi.org/10.1080/0267257X.2013.877956
   Google Scholar
• Acquah, H. (2011). Farmers’ perception and adaptation to climate change: a willingness to pay analysis. Journal of Sustainable Development in Africa, 13(5), 150–161.
   Google Scholar
• Aitken, R., Watkins, L., Williams, J., & Kean, A. (2020). The positive role of labelling on consumers’ perceived behavioural control and intention to purchase organic food. Journal of Cleaner Production, 255, 120334. https://doi.org/10.1016/j.jclepro.2020.120334
   Web of Science ®Google Scholar
• Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
   Web of Science ®Google Scholar
• Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs. Prentice-Hall.
   Google Scholar
• Ajzen, I., & Fishbein, M. (2005). The influence of attitudes on behavior. In D. Albarracín, B.T. Johnson and M.P. Zanna (Eds.), the handbook of attitudes (pp. 173–221). Lawrence Erlbaum Associates Publishers, American Psychological Association, Washington, DC.
   Google Scholar
• Alimi, B. A., & Workneh, T. S. (2016). Consumer awareness and willingness to pay for safety of street foods in developing countries: a review. International Journal of Consumer Studies, 40(2), 242–248. https://doi.org/10.1111/ijcs.12248
   Web of Science ®Google Scholar
• Amfo, B., & Ali, E. B. (2021). Consumer satisfaction and willingness to pay for upgraded meat standards in Kumasi, Ghana. Journal of International Food & Agribusiness Marketing, 33(4), 423–457. https://doi.org/10.1080/08974438.2020.1812464
   Google Scholar
• Amfo, B., Ansah, I. G. K., & Donkoh, S. A. (2019). The effects of income and food safety perception on vegetable expenditure in the Tamale Metropolis, Ghana. Journal of Agribusiness in Developing and Emerging Economies, 9(3), 276–293. https://doi.org/10.1108/JADEE-07-2018-0088
   Web of Science ®Google Scholar
• Ampuero, O., & Vila, N. (2006). Consumer perceptions of product packaging. Journal of Consumer Marketing, 23(2), 100–112. https://doi.org/10.1108/07363760610655032
   Google Scholar
• Ansah, I. G. K., & Tetteh, B. K. D. (2016). Determinants of yam postharvest management in the Zabzugu District of northern Ghana. Advances in Agriculture. 2016(2016), 1–9. https://doi.org/10.1155/2016/9274017
   Google Scholar
• Ayim-Akonor, M., & Akonor, P. T. (2014). Egg consumption: patterns, preferences and perceptions among consumers in Accra metropolitan area. International Food Research Journal, 21(4), 1457–1463.
   Google Scholar
• Bannor, R. K., & Abele, S. (2021). Consumer characteristics and incentives to buy labelled regional agricultural products. World Journal of Entrepreneurship, Management and Sustainable Development, 17(4), 872–888. https://doi.org/10.1108/WJEMSD-12-2020-0173
   Web of Science ®Google Scholar
• Bannor, R. K., Abele, S., Kuwornu, J. K. M., Oppong-Kyeremeh, H., & Yeboah, E. D. (2020). Consumer segmentation and preference for indigenous chicken products. Journal of Agribusiness in Developing and Emerging Economies, 12(1), 75–93. https://doi.org/10.1108/JADEE-08-2020-0162
   Web of Science ®Google Scholar
• Bannor, R. K., Oppong-Kyeremeh, H., & Kuwornu, J. K. M. (2021). Examining the link between the theory of planned behavior and bushmeat consumption in Ghana. Journal of Sustainable Forestry, 41(8), 745–767. https://doi.org/10.1080/10549811.2021.1944881
   Web of Science ®Google Scholar
• Bejaei, M., Wiseman, K., & Cheng, K. M. (2011). Influences of demographic characteristics, attitudes, and preferences of consumers on table egg consumption in British Columbia, Canada. Poultry Science, 90(5), 1088–1095. https://doi.org/10.3382/ps.2010-01129
   PubMed Web of Science ®Google Scholar
• Ben, C. B. (2015). The role of rural women farmers in household food security in Cross River State, Nigeria. Global Advanced Research Journal of Agricultural Science, 4(3), 137–144.
   Google Scholar
• Bett, H. K., Peters, K. J., Nwankwo, U. M., & Bokelmann, W. (2013). Estimating consumer preferences and willingness to pay for the under utilised indigenous chicken products. Food Policy. 41, 218–225. https://doi.org/10.1016/j.foodpol.2013.05.012
   Web of Science ®Google Scholar
• Borgardt, E. (2020). Means-end chain theory: a critical review of literature. Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu, 64(3), 141–160. https://doi.org/10.15611/pn.2020.3.12
   Google Scholar
• Carpenter, G. E. (2016). Analyzing consumers’ willingness to pay for eco-labelled seafood products in Coastal and Inland Maine Counties. Journal of Environmental and Resource Economics at Colby, 3(1), 10–23.
   Google Scholar
• Changhee, K., & Chanjin, C. (2011). Hedonic analysis of retail egg prices using store scanner data: an application to the Korean egg market. Journal of Food Distribution Research, 42(3), 1–4.
   Google Scholar
• Chaniotakis, I., Lymperopoulos, C., & Soureli, M. (2010). Consumers’ intentions of buying own-label premium food products. Journal of Product & Brand Management, 19(5), 327–334. https://doi.org/10.1108/10610421011068568
   Google Scholar
• Cobbinah, M. T., Donkoh, S. A., & Ansah, I. G. K. (2018). Consumers’ willingness to pay for safer vegetables in Tamale, Ghana. African Journal of Science, Technology, Innovation and Development, 10(7), 823–834. https://doi.org/10.1080/20421338.2018.1519062
   Web of Science ®Google Scholar
• Conner, M., & Armitage, C. (2006). Social psychological models of food choice. The Psychology of Food Choice, 3(2006), 41–45. https://doi.org/10.1079/9780851990323.0041
   Google Scholar
• de Graaf, S., Vanhonacker, F., van Loo, E. J., Bijttebier, J., Lauwers, L., Tuyttens, F. A. M., & Verbeke, W. (2016). Market opportunities for animal-friendly milk in different consumer segments. Sustainability, 8(12), 1302. https://doi.org/10.3390/su8121302
   Web of Science ®Google Scholar
• de Pee, S, Bloem, M W, Yip, R, Sukaton, A, Tjiong, R, Shrimpton, R, Kodyat, B, Satoto, Muhilal,. (1998). Impact of a social marketing campaign promoting dark-green leafy vegetables and eggs in central Java, Indonesia. International Journal for Vitamin and Nutrition Research, 68(6), 389–398.
   PubMed Web of Science ®Google Scholar
• Demont, M., & Ndour, M. (2016). Upgrading rice value chains: experimental evidence from 11 African markets. Global Food Security, 5(2015), 70–76. https://doi.org/10.1016/j.gfs.2014.10.001
   Google Scholar
• Fabbrizzi, S., Marinelli, N., Menghini, S., & Casini, L. (2017). Why do you drink? A means-end approach to the motivations of young alcohol consumers. British Food Journal, 119(8), 1854–1869. https://doi.org/10.1108/BFJ-12-2016-0599
   Web of Science ®Google Scholar
• Gallegos-Riofrío, C. A., Waters, W. F., Salvador, J. M., Carrasco, A. M., Lutter, C. K., Stewart, C. P., & Iannotti, L. L. (2018). The Lulun Project’s social marketing strategy in a trial to introduce eggs during complementary feeding in Ecuador. Maternal & Child Nutrition, 14(Suppl 3), e12700. https://doi.org/10.1111/mcn.12700
   PubMedGoogle Scholar
• Gangnat, I. D., Mueller, S., Kreuzer, M., Messikommer, R. E., Siegrist, M., & Visschers, V. H. (2018). Swiss consumers’ willingness to pay and attitudes regarding dual-purpose poultry and eggs. Poultry Science, 97(3), 1089–1098. https://doi.org/10.3382/ps/pex397
   PubMed Web of Science ®Google Scholar
• Greene, W. H. (2012). Econometric analysis (7th ed.). Prentice Hall.
   Google Scholar
• Gutman, J. (1982). A means-end chain model based on consumer categorization processes. Journal of Marketing, 46(2), 60–72. https://doi.org/10.1177/002224298204600207
   Web of Science ®Google Scholar
• Hanemann, M., Loomis, J., & Kanninen, B. (1991). Statistical efficiency of double‐bounded dichotomous choice contingent valuation. American Journal of Agricultural Economics, 73(4), 1255–1263. https://doi.org/10.2307/1242453
   Web of Science ®Google Scholar
• Hung, Y., & Verbeke, W. (2018). Sensory attributes ­shaping consumers’ willingness-to-pay for newly developed processed meat products with natural compounds and a reduced level of nitrite. Food Quality and Preference, 70(2018), 21–31. https://doi.org/10.1016/j.foodqual.2017.02.017
   Google Scholar
• Hung, Y., de Kok, T. M., & Verbeke, W. (2016). Consumer attitude and purchase intention towards processed meat products with natural compounds and a reduced level of nitrite. Meat Science, 121(2016), 119–126. https://doi.org/10.1016/j.meatsci.2016.06.002
   PubMedGoogle Scholar
• Hyun, J., Cho, H., Xu, W., & Fairhurst, A. (2010). The influence of consumer traits and demographic on intention tp use self- service checkouts. Journal of Marketing Intelligence & Planning, 28(1), 46–58. https://doi.org/10.1108/02634501011014606
   Google Scholar
• Imelia, R., & Ruswanti, E. (2017). Factors affecting purchase intention of electronic house wares in Indonesia. International Journal of Business and Management Invention ISSN, 6(2), 37–44. www.ijbmi.org
   Google Scholar
• Islam, T., & Hussain, M. (2022). How consumer uncertainty intervene country of origin image and consumer purchase intention? The moderating role of brand image. International Journal of Emerging Markets, 18(11), 5049–5067. https://doi.org/10.1108/IJOEM-08-2021-1194
   Web of Science ®Google Scholar
• Jang, H. W., & Cho, M. (2022). The relationship between ugly food value and consumers’ behavioral intentions: application of the theory of reasoned action. Journal of Hospitality and Tourism Management, 50, 259–266. https://doi.org/10.1016/j.jhtm.2022.02.009
   Web of Science ®Google Scholar
• Karipidis, P., Tsakiridou, E., Tabakis, N., & Mattas, K. (2005). Hedonic analysis of retail egg prices. Journal of Food Distribution Research, 33(3), 68–73.
   Google Scholar
• Kassali, R., Kareem, R. O., Oluwasola, O., & Ohaegbulam, O. M. (2010). Analysis of demand for rice in Ile Ife, Osun State, Nigeria. Journal of Sustainable Development in Africa, 12(2), 63–78.
   Google Scholar
• Kasteridis, P., & Yen, S. T. (2012). U.S. demand for organic and conventional vegetables: A Bayesian censored system approach. Australian Journal of Agricultural and Resource Economics, 56(3), 405–425. https://doi.org/10.1111/j.1467-8489.2012.00589.x
   Web of Science ®Google Scholar
• Kim, J., Shim, K., Kim, M.-S., & Youn, M.-K. (2013). Analyzing factors influencing purchasing behavior of PB eggs: Focusing on eggs from large distribution companies. Journal of Distribution Science, 11(10), 107–116. https://doi.org/10.15722/jds.11.10.201310.107
   Google Scholar
• Kralik, I., Zelić, A., Kristić, J., Milković, S. J., & Crnčan, A. (2020). Factors affecting egg consumption in young consumers. Acta Fytotechnica et Zootechnica, 23, 1–6. https://doi.org/10.15414/afz.2020.23.mi-fpap.1-6
   Google Scholar
• Kumar, A., & Smith, S. (2018). Understanding local food consumers: theory of planned behavior and segmentation approach. Journal of Food Products Marketing, 24(2), 196–215. https://doi.org/10.1080/10454446.2017.1266553
   Web of Science ®Google Scholar
• Lee, H. J., & Yun, Z. S. (2015). Consumers’ perceptions of organic food attributes and cognitive and affective attitudes as determinants of their purchase intentions toward organic food. Food Quality and Preference, 39, 259–267. https://doi.org/10.1016/j.foodqual.2014.06.002
   Web of Science ®Google Scholar
• Lesnierowski, G., & Stangierski, J. (2018). What’s new in chicken egg research and technology for human health promotion? A review. Trends in Food Science & Technology, 71, 46–51. https://doi.org/10.1016/j.tifs.2017.10.022
   Web of Science ®Google Scholar
• Liu, A., & Niyongira, R. (2017). Chinese consumers food purchasing behaviors and awareness of food safety. Food Control. 79(79), 185–191. https://doi.org/10.1016/j.foodcont.2017.03.038
   Google Scholar
• Lordelo, M., Fernandes, E., Bessa, B. R. J., & Alves, S. P. (2017). Quality of eggs from different laying hen production systems, indigenous breeds and specialty eggs. Poultry Science, 96(5), 1485–1491. https://doi.org/10.3382/ps/pew409
   PubMed Web of Science ®Google Scholar
• Maddala, G. S. (1983). Limited dependent and qualitative variables in econometrics (pp. 401). Cambridge University Press.
   Google Scholar
• Marquis, G. S., Colecraft, E. K., Kanlisi, R., Pinto, C., Aryeetey, R., Aidam, B., & Bannerman, B. (2017). Improving children’s diet and nutritional status through an agriculture intervention with nutrition education in upper Manya Krobo District of Ghana. The FASEB, 31, 455–458.
   Web of Science ®Google Scholar
• Mesías, F. J., Martínez-Carrasco, F., Martínez, J. M., & Gaspar, P. (2011). Functional and organic eggs as an alternative to conventional production: A conjoint analysis of consumers’ preferences. Journal of the Science of Food and Agriculture, 91(3), 532–538. https://doi.org/10.1002/jsfa.4217
   PubMed Web of Science ®Google Scholar
• Min, S., Overby, J. W., & Im, K. S. (2012). Relationships between desired attributes, consequences and purchase frequency. Journal of Consumer Marketing, 29(6), 423–435. https://doi.org/10.1108/07363761211259232
   Google Scholar
• Morales, L. E., & Higuchi, A. (2018). Is fish worth more than meat? How consumers’ beliefs about health and nutrition affect their willingness to pay more for fish than meat. Food Quality and Preference, 65, 101–109. https://doi.org/10.1016/j.foodqual.2017.11.004
   Web of Science ®Google Scholar
• Nimalaratne, C., & Wu, J. (2015). Hen egg as an antioxidant food commodity: A review. Nutrients, 7(10), 8274–8293. https://doi.org/10.3390/nu7105394
   PubMed Web of Science ®Google Scholar
• Olson, J. C., and Reynolds, T. J. (Eds.) (2001). Understanding consumer decision making: the means-end approach to marketing and advertising strategy. Routledge.
   Google Scholar
• Petrovici, D. A., Ritson, C., & Ness, M. (2004). The theory of reasoned action and food choice: insights from a transitional economy. Journal of International Food & Agribusiness Marketing, 16(1), 59–87. https://doi.org/10.1300/J047v16n01_05
   Google Scholar
• Procter, L., Angus, D. J., Blaszczynski, A., & Gainsbury, S. M. (2019). Understanding use of consumer protection tools among Internet gambling customers: utility of the theory of planned behavior and theory of reasoned action. Addictive Behaviors, 99, 106050. https://doi.org/10.1016/j.addbeh.2019.106050
   PubMed Web of Science ®Google Scholar
• Quagrainie, K. (2006). IQF catfish retail pack: a study of consumers’ willingness to pay. International Food and Agribusiness Management Review, 9(2), 75–87.
   Google Scholar
• Roitner-Schobesberger, B., Darnhofer, I., Somsook, S., & Vogl, C. R. (2008). Consumer perceptions of organic foods in Bangkok, Thailand. Food Policy. 33(2), 112–121. https://doi.org/10.1016/j.foodpol.2007.09.004
   Web of Science ®Google Scholar
• Rondoni, A., Asioli, D., & Millan, E. (2020). Consumer behaviour, perceptions, and preferences towards eggs: A review of the literature and discussion of industry implications. Trends in Food Science & Technology, 106, 391–401. https://doi.org/10.1016/j.tifs.2020.10.038
   Web of Science ®Google Scholar
• Ryan, J., & Casidy, R. (2018). The role of brand reputation in organic food consumption: A behavioral reasoning perspective. Journal of Retailing and Consumer Services, 41, 239–247. https://doi.org/10.1016/j.jretconser.2018.01.002
   Web of Science ®Google Scholar
• Saleem, A., Aslam, J., Kim, Y. B., Nauman, S., & Khan, N. T. (2022). Motives towards e-shopping adoption among Pakistani consumers: An application of the technology acceptance model and theory of reasoned action. Sustainability, 14(7), 4180. https://doi.org/10.3390/su14074180
   Web of Science ®Google Scholar
• Shah, S. S. H., Aziz, J., Jaffari, A. R., Waris, S., Ejaz, W., Fatima, M., & Sherazi, S. K. (2012). The impact of brands on consumer purchase intentions. Asian Journal of Business Management, 4(2), 105–110.
   Google Scholar
• Shim, J., Moon, J., Song, M., & Lee, W. S. (2021). Antecedents of purchase intention at starbucks in the context of covid-19 pandemic. Sustainability, 13(4), 1758. https://doi.org/10.3390/su13041758
   Web of Science ®Google Scholar
• Singh, G., Aiyub, A. S., Greig, T., Naidu, S., Sewak, A., & Sharma, S. (2023). Exploring panic buying behavior during the COVID-19 pandemic: A developing country perspective. International Journal of Emerging Markets, 18(7), 1587–1613. https://doi.org/10.1108/IJOEM-03-2021-0308
   Web of Science ®Google Scholar
• Situmorang, R. O. P., Tang, M. C., & Chang, S. C. (2022). Purchase intention on sustainable products: A case study on free-range eggs in Taiwan. Applied Economics, 54(32), 3751–3761. https://doi.org/10.1080/00036846.2021.2001423
   Web of Science ®Google Scholar
• Slack, N. J., & Singh, G. (2020). The effect of service quality on customer satisfaction and loyalty and the mediating role of customer satisfaction: supermarkets in Fiji. The TQM Journal, 32(3), 543–558. https://doi.org/10.1108/TQM-07-2019-0187
   Google Scholar
• Slack, N. J., Sharma, S., Cúg, J., & Singh, G. (2023). Factors forming consumer willingness to pay a premium for free-range eggs. British Food Journal, 125(7), 2439–2459. https://doi.org/10.1108/BFJ-07-2022-0663
   Google Scholar
• Slack, N., Singh, G., & Sharma, S. (2020). The effect of supermarket service quality dimensions and customer satisfaction on customer loyalty and disloyalty dimensions. International Journal of Quality and Service Sciences, 12(3), 297–318. https://doi.org/10.1108/IJQSS-10-2019-0114
   Web of Science ®Google Scholar
• StataCorp. (2015). Stata: Release 14. Statistical software. StataCorp LP, Texas, USA.
   Google Scholar
• Wang, J., Ge, J., & Ma, Y. (2018). Urban Chinese consumers’ willingness to pay for pork with certified labels: A discrete choice experiment. Sustainability, 10(3), 603–610. https://doi.org/10.3390/su10030603
   Web of Science ®Google Scholar
• Wang, J., Xu, C., & Liu, W. (2022). Understanding the adoption of mobile social payment: From the cognitive behavioural perspective. International Journal of Mobile Communications, 20(4), 483–506. https://doi.org/10.1504/IJMC.2022.123794
   Web of Science ®Google Scholar
• Woodruff, R. B., & Gardial, S. F. (1996). Know your customer: New approaches to understanding customer value and satisfaction. Blackwell Publishers, Inc.
   Google Scholar
• Xia, F., Zhao, Y., Xing, M., Sun, Z., Huang, Y., Feng, J., & Shen, G. (2022). Discriminant analysis of the nutritional components between organic eggs and conventional eggs: A 1H NMR-based metabolomics study. Molecules, 27(9), 3008. https://doi.org/10.3390/molecules27093008
   PubMed Web of Science ®Google Scholar
• Żakowska-Biemans, S., & Tekień, A. (2017). Free range, organic? Polish consumers preferences regarding information on farming system and nutritional enhancement of eggs: a discrete choice based experiment. Sustainability, 9(11), 1999. https://doi.org/10.3390/su9111999
   Web of Science ®Google Scholar
• Zhang, H., & Wang, H. (2009). Consumers’ willingness to pay for green agricultural products in Guangzhou City. Journal of Agro-Technical Economics, 6(6), 62–69.
   Google Scholar
• Zhu, Y., Wen, X., Chu, M., & Sun, S. (2022). Consumers’ intention to participate in food safety risk communication: a model integrating protection motivation theory and the theory of reasoned action. Food Control. 138(2022), 108993. https://doi.org/10.1016/j.foodcont.2022.108993
   Google Scholar