Academic Journal of Business & Management, 2022, 4(18); doi: 10.25236/AJBM.2022.041808.
Chi-Hsiang Ting1, Chin-Lien Chang2, Quan Dai1, Kun Liang1, Chao Shen1, Xingguo Sun3, Daiyang Lu1
1Faculty of Management Engineering, Huaiyin Institute of Technology, Huainan, Jiangsu, P.R. China
2Student Affairs Office Huaiyin Institute of Technology Huainan, Jiangsu, P.R. China
3Jiangsu Smart Factory Engineering Research Centre, College of Management and Engineering, Huaiyin Institute of Technology, Huainan, Jiangsu, P.R. China
The development of take-out food industry is closely related to economic growth. The epidemic situation in recent years has further promoted the vigorous development of the takeout industry. This study analyzes the basic data of the collected samples. The reasons why the respondents used the take out food e-commerce were for daily meals. We conduct pearson correlation analysis on the factor dimensions of the items: transportation service, food safety, delicious food, promotion method, transaction perception are highly correlated. Further analysis shows that each factor affects the value of the determination coefficient. In the way of transportation service and promotion method, these two factors have higher path coefficient values. Therefore, the take out food industry can find the main factors to improve the industrial service quality from the above factors.
telecommuting, online food delivery, electronic commerce, take-out food
Chi-Hsiang Ting, Chin-Lien Chang, Quan Dai, Kun Liang, Chao Shen, Xingguo Sun, Daiyang Lu. The Study of Choice on the Influence of Consumer’s Take-out Food Electronic Commerce in China. Academic Journal of Business & Management (2022) Vol. 4, Issue 18: 39-44. https://doi.org/10.25236/AJBM.2022.041808.
 Ting, C.H., Chang,C. L. , Shen, C., Zhang, X. Y.(2022)Exploratory analysis of factors affecting levels of online shopping in the COVID-19. The international conference on big data economy and digital management (BDEDM 2022), 811-817.DOI: 10.5220/0011349900003440
 Wu S., Zhang, Z., Liu, C.(2022)The influencing factors of college students' willingness to pay for takeout APP under the background of normalization of prevention and control China storage & transport.DOI:10.16301/j.cnki.cn12-1204/f.2022.09.086
 Wang, L., Ni, X.W., Li, Y. Y.(2021) The scale of food waste at the consumer end of China and the measurement of its resource and environmental effects. Journal of Natural Resources, 36 (6): 1455-1468
 Wang X.H., Wu, S.Q., Shen, B., Chi, C.Y.(2022) Research on the characteristics and influencing factors of young people's takeout consumption behavior under the digital economy. China journal of commerce.DOI:10.19699/j.cnki.issn2096-0298.2022.15.119
 Tang, Z. Y.,Zhang,H.(2022) The status quo, problems and countermeasures of Meituan take out logistics order distribution. China circulation economy. DOI:10.16834/j.cnki.issn1009-5292. 2022. 21. 039
 Ku, Y. C.,Li,C.Y, Huang, H.L.(2013) In service quality enough? the Impact of customer experience on website satisfaction.Zhongshan Management Review.
 Hung. Y.W.,Cheng.K.T.and Hsu, H.M. (2015) Understanding online service recovery and consequences-a psychological contract violation perspective,Journal of Information Management, 22,(2), pp.199-224.
 Hair, J.F., Ringle, C., Sarstedt, M.(2011) PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19,pp.139-151.
 Chin,W.W.(2010) Bootstrap cross-validation indices for PLS path model assessment, in Vinzi, V. E. et al. (eds). Handbook of partial least squares: concepts, methods and applications. Heidelberg: Springer, 83-97.
 Barclay,D.,Higgins,C., Thompson,R.(1995) The Partial Least Squares (PLS) Approach to Causal Modeling: Personal Computer Adoption and Use as an Illustration. Technology Studies,2(2), 285-309.