TY - JOUR
T1 - Customers' intention towards O2O food delivery service under the different characteristic of customer group-a case study of Suzhou Industrial Park
AU - Chang, Victor
AU - Zheng, Nanjun
AU - Shi, Yujie
N1 - Publisher Copyright:
© 2020 Inderscience Enterprises Ltd.
PY - 2020
Y1 - 2020
N2 - Two research questions are identified and discussed. Relevant factors that influence the customer preferences were selected as research objects, data collection was based on 348 valid questionnaires, SPSS software was used for data analysis by the means of the multivariate logistic research model. Customer intentions include delivery payment, delivery time, food quality and brand trust. Customer reviews are related to customer preferences. The delivery payment is the most important factor when customers use food delivery service, but different groups of people have different tendency compared with their counterparts. All variables are designed based on baseline categories; the outcome of the model is only significant while comparing two groups of variables. Multivariate logistic research model is used to find customer preferences under the different characteristic of customer groups based on questionnaires and tries to forecast the possibility of the tendency of one targeting customer group in Suzhou Industrial Park. This research conduct a questionnaire on the Suzhou industry park, the respondents are mainly students and white collars customers, the characteristics of respondents are typical in this area.
AB - Two research questions are identified and discussed. Relevant factors that influence the customer preferences were selected as research objects, data collection was based on 348 valid questionnaires, SPSS software was used for data analysis by the means of the multivariate logistic research model. Customer intentions include delivery payment, delivery time, food quality and brand trust. Customer reviews are related to customer preferences. The delivery payment is the most important factor when customers use food delivery service, but different groups of people have different tendency compared with their counterparts. All variables are designed based on baseline categories; the outcome of the model is only significant while comparing two groups of variables. Multivariate logistic research model is used to find customer preferences under the different characteristic of customer groups based on questionnaires and tries to forecast the possibility of the tendency of one targeting customer group in Suzhou Industrial Park. This research conduct a questionnaire on the Suzhou industry park, the respondents are mainly students and white collars customers, the characteristics of respondents are typical in this area.
KW - Customer preference
KW - Targeting customer group
KW - The multivariate logistic research model
UR - http://www.scopus.com/inward/record.url?scp=85085978144&partnerID=8YFLogxK
U2 - 10.1504/IJEBR.2020.107494
DO - 10.1504/IJEBR.2020.107494
M3 - Article
AN - SCOPUS:85085978144
SN - 1756-9850
VL - 19
SP - 378
EP - 390
JO - International Journal of Economics and Business Research
JF - International Journal of Economics and Business Research
IS - 4
ER -