Research on the Evaluation of Wuhan Community Group Buying Service Quality Based on AHP-Fuzzy

2021 ◽  
Author(s):  
Li Aohan
Keyword(s):  
Service Quality ◽  
Community Group ◽  
Group Buying

scholarly journals An Analysis of Community Group Buying Behavior of Urban Residents Based on Big Data

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Nanxin Huang ◽  
Kexin Yu ◽  
Cheng Chen
Keyword(s):  
Big Data ◽  
Binary Logistic Regression ◽  
Shopping Behavior ◽  
Urban Residents ◽  
Buying Behavior ◽  
Binary Logistic Regression Model ◽  
Community Group ◽  
Group Buying ◽  
Different Types ◽  
Marketing Methods

By using keywords crawled by big data as a survey reference, this research applied latent category clustering method and binary logistic regression model analysis method to analyze the differences in community group buying behaviors of residents from different city scale and summarize the shopping behavior and features of different types of residents, for the purpose of offering advice on different marketing methods for different types of urban residents, so as to realize the precise marketing of community e-commerce and promote the further development of the industry.

Evaluation of service quality in facebook-based group-buying

2018 ◽  
Vol 28 ◽  
pp. 30-36 ◽  
Author(s):  
Shih-Wei Hsu ◽  
Fang Qing ◽  
Chien-Chih Wang ◽  
Hsin-Ling Hsieh
Keyword(s):  
Service Quality ◽  
Group Buying

Effects of cue congruence and perceived cue authenticity in online group buying

2020 ◽  
Vol 30 (3) ◽  
pp. 945-970
Author(s):  
Karen C. Kao ◽  
Sally Rao Hill ◽  
Indrit Troshani
Keyword(s):  
Service Quality ◽  
Current Knowledge ◽  
Online Information ◽  
The Novel ◽  
Content Type ◽  
Group Buying ◽  
Star Rating ◽  
Information Cues ◽  
Online Group

PurposeThe study investigates how the congruence of online deal popularity and star rating influences service quality expectation in online group buying (OGB) websites. It also investigates the role of authenticity perceptions of online cues.Design/methodology/approachTwo experiments are used to assess the effects of congruence between deal popularity and star rating on service quality expectation for service deals in an OGB website.FindingsThe findings suggest that a combination of congruently high deal popularity and high star rating has a stronger effect on expected service quality than a combination of congruently low cues. The findings further suggest that expected service quality is greater under the combination of high deal popularity and low star rating than the combination of low deal popularity and high star rating, showing the differences between incongruent cue combinations. The findings also show the moderating effect of consumer authenticity perceptions of cues on the expected service quality.Originality/valueThe novel contribution of the study is to extend cue congruence theory to explain how congruent online information cues and the consumers' authenticity perceptions of the cues influence consumers' judgment of online deals. The contribution is validated empirically in the context of OGB. The findings advance current knowledge concerning how consumers use online information cues.

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