2016
DOI: 10.1007/s10660-016-9220-0
|View full text |Cite
|
Sign up to set email alerts
|

The influence of information cascades on online purchase behaviors of search and experience products

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

3
62
0
4

Year Published

2017
2017
2021
2021

Publication Types

Select...
8

Relationship

2
6

Authors

Journals

citations
Cited by 44 publications
(69 citation statements)
references
References 48 publications
3
62
0
4
Order By: Relevance
“…On the one hand, we ignore the effect of online WOM on consumers' purchase decision when analyzing the impact of promotional information from different sources (different social distance). In fact, a vast number of studies have confirmed the important impact of online WOM on online purchase behaviors [16], [27], [40], [41], [42]. On the other hand, Chinese consumers like to share promotion information and talk about their shopping decisions in the Double 11 promotion [59].…”
Section: Discussion Of Findingsmentioning
confidence: 99%
See 2 more Smart Citations
“…On the one hand, we ignore the effect of online WOM on consumers' purchase decision when analyzing the impact of promotional information from different sources (different social distance). In fact, a vast number of studies have confirmed the important impact of online WOM on online purchase behaviors [16], [27], [40], [41], [42]. On the other hand, Chinese consumers like to share promotion information and talk about their shopping decisions in the Double 11 promotion [59].…”
Section: Discussion Of Findingsmentioning
confidence: 99%
“…There are 6 predictors in our model, so the sample size should be greater than 90. Moreover, since we need to test hypotheses using regression analysis, the observed data should generally be more than 20 times the number of independent variables [2], [41], [63]. In our empirical model, the maximum number of independent variables is 9, so the number of samples should be greater than 180.…”
Section: Data Collectionmentioning
confidence: 99%
See 1 more Smart Citation
“…That is, the loyalty was more likely to have formed [35]. However, information technology is constantly innovating, and the incidence of users switching from an information technology to its competitors is rapidly increasing [37][38][39]. Users will be able to switch between different IT products freely, e.g., operating systems, web browsers, office productivity software, and social networking services software.…”
Section: Discussion Of Findingsmentioning
confidence: 99%
“…The behavioural aspect is defined as intention to make repeated purchases, while the attitudinal one refers to continuous preference or favourable attitude toward certain services or a certain product or firm. In spite of situational influences, marketing efforts, and short-term changes in the performance of the product or service, loyalty is relatively stable, that is why loyalty should be an important construct in the study of IT continuance [15][16][17][18][19]. That affective loyalty serves as a significant and consistent predictor of individuals' repurchasing and continuance decisions has been strongly supported by empirical studies [20].…”
Section: The Dual-process Modelmentioning
confidence: 99%