FACTORS INFLUENCING CONSUMERS' ONLINE SHOPPING WILLINGNESS IN CHINA'S PREFABRICATED DISHES INDUSTRY: ANALYSIS OF DIFFERENCES AND CORRELATIONS
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In recent years, the superposition of multiple factors, such as the home economy and fast-paced life as well as the maturity of the industrial chain, has opened up the rapid development of China's consumption of prefabricated dishes. However, while the rapid development of the prefabricated dishes industry, many problems have gradually appeared.which makes the factors of consumers' willingness to purchase prefabricated dishess online have also changed.
In this study, in addition to the independent samples t-test for gender, one-way ANOVA analysis of variance was conducted across age, occupation, monthly income, and whether or not they had experience, which showed that there were significant differences in effort expectations, e-commerce platform quality, product quality, logistics service quality, brand image, consumer innovativeness, online purchase intention, and online purchase behaviour across age, monthly income, and whether or not they had experience.
This study also used SPSS 22.0 to analyse the correlation, The results show that effort expectation, social influence, performance expectation, e-commerce platform quality, product quality, logistics service quality, and brand image and consumers' online purchase of pre-prepared Effort expectation, social influence, performance expectation, e-commerce platform quality, product quality, logistics service quality, brand image and consumers‘ willingness to purchase prefabricated dishess online showed a positive correlation, consumer innovativeness and consumers’ willingness to purchase prefabricated dishess online showed a negative correlation, and willingness to purchase online showed a positive correlation with consumers' online purchasing behaviour. This study can provide empirical support for China's prefabricated dishes industry market, thus providing a theoretical basis for the formulation of related policies and marketing strategies by prefabricated dishes producers, e-commerce platforms, and the government.
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Ahmed, M., Q. Guo, M. A. Qureshi, S. A. Raza, K. A. Khan, and J. Salam. (2021). “Do Green HR Practices Enhance Green Motivation and Proactive Environmental Management Maturity in Hotel Industry?” International Journal of Hospitality Management, 94: 102852.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211.
Al Debei, M.M., Akroush, M.N., Ashouri, M.I., (2015). Consumer attitudes towards online shopping.
Angst, C. M., & Agarwal, R. (2009). Adoption of electronic health records in the presence of privacy concerns: The elaboration likelihood model and individual persuasion. MIS quarterly, 339-370.
Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS quarterly, 351-370.
Cai, K. (2021). Discussion on the Development Trend of prefabricated dishes in the Central Kitchen of China’s Catering Industry Chain. China Food Safety, 17, 187-188. doi:10.16043/j.cnki.cfs.2021.23.127
Chen Dingling, PAN Ning, TIAN Beiyan, HE Zhenggang, HUANG Guizhen, FU Sisi.(2023).Study on Factors Inffuencing Consumers’ Loyalty in Purchasing Prepared Food.CHINA FOOD SAFETY.34,145-147.
Chen, Y., & Zhang, L. (2022). Consumer perception and willingness to pay for prefabricated dishes in China. Food Quality and Preference, 96, 104365.
Cyr, D., Head, M., Lim, E., & Stibe, A. (2018). Using the elaboration likelihood model to examine online persuasion through website design. Information & Management, 55(7), 807-821.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
Deng, A., Tao, B., & Ma, Y. y. (2014). (Empirical Study on the Factors Influencing Customer Loyalty in Online Shopping Chinese Management Science, 22 (06), 94-102.
Dholakia, R. R., & Uusitalo, O. (2002). Switching to electronic stores: Consumer characteristics and the perception of shopping benefits. International Journal of Retail & Distribution Management, 30(10), 459–469.
Fang, L., & Chen, M. (2022). Health concerns and online purchase behavior: A study of Chinese prefabricated food consumers. Journal of Consumer Behaviour, 21(1), 82–95.
Gao, Y., Liu, H., & Wen, C. (2023). Demographic factors influencing consumer behavior in China’s ready-to-cook meal sector. International Journal of Retail & Distribution Management, 51(3), 275–294.
Gefen, D. (2000). E-commerce: The role of familiarity and trust. Omega, 28(6), 725–737.
Gunden, N., Morosan, C., & DeFranco, A. L. (2020). Consumers’ persuasion in online food delivery systems. Journal of Hospitality and Tourism Technology, 11(3), 495-509.
Hirunyawipada, T., & Paswan, A. K. (2006). Consumer innovativeness and perceived risk: Implications for high technology product adoption. Journal of Consumer Marketing, 23(4), 182–198.
Hu, Q. (2021). Research on the Impact of Logistics Service Quality on Customer Repurchase intention. Dissertation.Tianjin University of Technology.
Indrawati, I., Ramantoko, G., Widarmanti, T., Aziz, I. A., & Khan, F. U. (2022). Utilitarian, hedonic, and self-esteem motives in online shopping. Spanish Journal of Marketing-ESIC, 26(2), 231-246.
Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision support systems, 44(2), 544-564.
Liang, J., & Lim, W. M. (2020). Online grocery shopping: A systematic review and meta-analysis. Internet Research, 30(4), 1061–1082.
Lin, X., & Huang, T. (2021). Logistics service quality and customer satisfaction in e-commerce: Evidence from China. Electronic Commerce Research and Applications, 46, 101043.
Liu, Y. h. (2016). Empirical Study on the Factors Influencing Consumer Satisfaction of Online Purchasing of Fresh Agricultural Products. Dissertation.Jilin University.
Luo, Y., Zhang, S., & Wang, L. (2021). Research on the Willingness of Consumers to Purchase Genetically Modified Foods with Quality and Safety Cognition——Taking Genetically Modified Soybean Oil as an Example. Agricultural Research and Economic Management, 02, 1-10.
Mao, X. y. (2019). Empirical Analysis of Factors Influencing Satisfaction with Online Shopping of Fresh Agricultural Products. Dissertation.Chengdu University of Information Technology.
Oliveira, H., Blocquel, C., Santos, M., Fretigny, M., Correia, T., Goncalves, A., . . . Ferraris, F. (2021). Semi-industrial development of nutritious and healthy seafood dishes from sustainable species. Food Chemical Toxicology, 155, 112431.
Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion: Springer.
Pu,Y.(2022).Thinking on the development of prefabricated dishes in the post-epidemic era.City.(10),38-41.
Tian,Xiao.hua.(2021).Research on the willingness,behavior and strengthening of online shopping of fresh agricultural products.Dissertation.Henan agricultural university.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.
Wan Jun, Guo Tingting, Wu Zhengxiang.(2015).A study on the impact of consumers' mobile internet service usage intention based on UTAUT model. Resource Development and Market. 31(10): 1224-1227.
Wang, H. (2023). Post-COVID consumer preferences for convenience foods: The case of prefabricated meals in urban China. Asian Journal of Business Research, 13(1), 45–59.
Wang, X. m., & Zhu, K. y. (2022 ). Conforming to the general trend, forming a joint force to accelerate the development of Sichuan cuisine prefabricated dishindustry. Modern Food Science and Technology, 28(5), 49-52. doi:10.19885/j.cnki.hbqy.2022.05.003
Wang,J. , Liu. L. (2018). Research on the impact of consumer innovativeness on brand extension based on consumer characteristics. National Circulation Economy, 14 4-5.
Wei,Shun.(2022).Prefabricated dishes: a new track with high growth and low penetration.Analysis of Stock Market Dynamics.(2),52-53.
Xie, H., & Yu, Z. (2021). Platform trust and food e-commerce: Mediating role of brand image. Journal of Retailing and Consumer Services, 62, 102610.
Xie, Y. S., Fu, X. X., Zheng, J. N., Liu, Y. X., Qi, L. B., & Dong, X. P. (2021). Effects of Bio-Preservatives on the Quality of Pre-Cooked Pacific White Shrimp(Penaeus Vannamei) during Refrigerated Storage. Sci. Technol. Food Ind, 42, 264-270.
Xu, Y.J.,Zhang, Y.H.,Zhou, F.,Chen, S.(2022).Analysis on the Development Mode and Current Situation of prefabricated dishes in Guangdong.J. Chin. Inst. Food Sci. Technol.(22),27-38.
Yang, N. (2015). An Empirical Study on the Influencing Factors of Consumers' Organic Food Purchasing Behavior. Journal of Central University of Finance and Economics, 5, 89-95.
Yang, Y., & Liu, J. (2022). Digital consumer segmentation in China: A study on online food delivery services. Journal of Consumer Marketing, 39(6), 618–631.
Yang,Yunfei.(2022).Prefabricated dishes are hotly debuting, how to "control the overall situation" of the trillion-dollar industry that is hot for capital?.China Logistics & Procurement.(4),32-33.
Zhang, Q., & Zhao, J. (2022). E-commerce platforms and changing food consumption patterns in China. British Food Journal, 124(4), 1345–1362.
Zhang, R., & Xu, F. (2022). Research on consumers' genetically modified food purchase decisions: From the perspective of genetically modified system cognition. Agricultural Technology Economics, 10, 69-82.
Zhang,Q. (2021). Research on key technologies for quality control of prefabricated prefabricated dishes.Journal of Food and Biotechnology.Journal of Food and Biotechnology.40(1),34-36.
Zhao, L. (2021). Study on the Current Situation and Problems of the Prefabricated Vegetable Industry. China Condiment, 09, 146-147.
Zhao,Dawei,Liu,Qiao,Liu,Jing. (2013). Research on Evaluation of agricultural cold chain logistics service capability.Management Modernization.(1),46-48.
Zhong, K., & Zhang, C. q. (2013). Research on the Impact of Consumer Perceived Value on Online purchase intention: Using Online Word of Mouth as a moderating variable. Journal of Shenyang Normal University (Social Sciences Edition), 37(3), 53-56.
Zhou, L., Dai, L., & Zhang, D. (2007). Online shopping acceptance model—A critical survey of consumer factors in online shopping. Journal of Electronic Commerce Research, 8(1), 41–62.