The Effect of Viewing Posts in Online Brand Communities
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Transcript of The Effect of Viewing Posts in Online Brand Communities
Department of Marketing, College of Management, Shenzhen
UniversityProf. Dr. Zhimin Zhou [email protected]
Are Visitors Outsiders?
The Effect of Viewing Posts in
Online Brand Communities
Zhimin Zhou
Shenzhen University, China
Ning Zhang
City University of Hong Kong, Hong Kong S.A.R.
Department of Marketing, College of Management, Shenzhen
UniversityProf. Dr. Zhimin Zhou [email protected]
83,415 Online Users at a point in time:5,324 members
and 78,091 visitors
Department of Marketing, College of Management, Shenzhen
UniversityProf. Dr. Zhimin Zhou [email protected]
How can influence visitors be influenced by
online brand communities to participate in the
communities and purchase the brands?
Research Questions
Department of Marketing, College of Management, Shenzhen
UniversityProf. Dr. Zhimin Zhou [email protected]
Conceptual Model
Department of Marketing, College of Management, Shenzhen
UniversityProf. Dr. Zhimin Zhou [email protected]
Measures
●Viewing posts (Bateman, Gray, and Butler, 2010; Koh and Kim,
2004): three items
●Informational value (Mathwick, Wiertz, and de Ruyter, 2008): three
items
●Perceived social value (Mathwick, Wiertz, and de Ruyter, 2008): four
items
●Attitude toward community (Gupta, Kim, and Shin, 2010): four items
●Attitude toward brand (Putrevu and Lord, 1994): five items
●Participation intention (Algesheimer, Dholakia, and Herrmann, 2005;
Bagozzi and Dholakia, 2006): three items
●Purchase intention (Putrevu and Lord, 1994): three items.
Department of Marketing, College of Management, Shenzhen
UniversityProf. Dr. Zhimin Zhou [email protected]
Data Collection and Analysis Method
●Data Collection
●The website Sojump (www.sojump.com), a popular online
survey platform in China
●376 valid questionnaires
●Analysis Method
●Partial least square (PLS) modeling
Department of Marketing, College of Management, Shenzhen
UniversityProf. Dr. Zhimin Zhou [email protected]
Sampling
Gender Age Income(RMB) Vocation Education
Male 48.1%
Female 51.9%
≤20 12.5%
21-25 41.2%
26-30 24.5%
31-40 17.8%
41-50 2.7%
≥51 1.3%
No income 26.9%
< 2000 16.2%
2000-3000 21.0%
3001-5000 20.2%
5001-8000 11.2%
8001-15000 2.9%
15001-50000 1.6%
Student 33.5%
Non-student (such as sales, engineer, worker, teacher)
66.5%
Primary school 1.1%
High school 5.3%
Secondary technical school 2.9%
Junior college 18.9%
Undergraduate 61.4%
Post-graduate 9.6%
Doctorate 0.8%
Department of Marketing, College of Management, Shenzhen
UniversityProf. Dr. Zhimin Zhou [email protected]
Measurement Model SFL t-value
Viewing posts (Cronbach’s α = .834)
I have viewed posts in OBC X for a long time. .843 40.380
I have visited OBC X to view posts frequently. .902 67.923
I have viewed a large number of posts presented by members in OBC X. .854 41.800
Informational value (Cronbach’s α = .816)
I find the information on OBC X to be valuable. .891 66.168
I think of OBC X as an information resource. .866 49.700
There is unique value in OBC X. .802 25.150
Perceived social value (Cronbach’s α = .829)
I feel that members think of the patrons of OBC X as members’ extended
family.
.813 31.567
I feel that participating on OBC X provides an important source of
camaraderie for members.
.858 47.050
I feel that OBC X provides a sounding board for members’ ideas. .760 22.842
I feel that members rely on the personal support they get from others in
OBC X.
.819 42.188
Attitude toward community (Cronbach’s α = .897)
OBC X is a good online forum. .903 77.354
OBC X is a likeable online forum. .883 50.581
OBC X is a beneficial online forum. .841 44.184
OBC X is a pleasant online forum. .868 49.142
Department of Marketing, College of Management, Shenzhen
UniversityProf. Dr. Zhimin Zhou [email protected]
Cont’d
SFL t-value
Attitude toward brand (Cronbach’s α = .905)
The decision to buy Brand X is foolish.(r) .664* 14.627
Buying Brand X is a good decision. .905 60.526
I think Brand X is a satisfactory brand. .917 82.934
I think Brand X has a lot of beneficial characteristics. .886 49.415
I have a favorable opinion of Brand X. .875 57.940
Participation intention (Cronbach’s α = .884)
I intend to be a part of OBC X. .912 63.942
I intend to participate in the activities of OBC X. .917 76.547
I intend to communicate with members of OBC X. .875 39.599
Purchase intention (Cronbach’s α = .881)
It is very likely that I will buy Brand X. .902 44.135
I will purchase Brand X the next time I need the product. .933 110.670
I will definitely try Brand X. .861 38.933
Overall model fit: χ2(263)= 732.53, χ2/df=2.79, p<.01; CFI=.93; NNFI=.92; IFI=.93;
RMSEA=.070
* For the loadings of reverse questions, the response data are subtracted by 7.
Notes: OBC X means online community of brand X. (r) indicates a reverse question. SFL means standardized factor
loadings.
Department of Marketing, College of Management, Shenzhen
UniversityProf. Dr. Zhimin Zhou [email protected]
Descriptive Statistics of Construct Measures
Variables 1 2 3 4 5 6 7
1. Viewing posts .87**
2. Informational value .39** .85**
3. Perceived social value .46** .53** .81**
4. Attitude toward community .50** .56** .69** .87**
5. Attitude toward brand .32** .50** .44** .53** .85**
6. Participation intention .48** .52** .64** .69** .42** .90**
7. Purchase intention .35** .45** .36** .50** .71** .39** .90**
Mean 4.07 4.58 4.23 4.36 4.60 4.38 4.71
Standard deviation 1.08 .89 .88 .88 .84 .95 .96
Composite reliability .90 .89 .89 .93 .93 .93 .93
AVE .75 .73 .66 .76 .73 .81 .81** p < .01 (two-tailed test).
Notes: Bold figures on the diagonal are the square root of the AVE for the
constructs.
Department of Marketing, College of Management, Shenzhen
UniversityProf. Dr. Zhimin Zhou [email protected]
* p < .05 (two-tailed test); ** p < .01 (two-tailed test).
Hypothesized Paths Coefficient t-value Results
Main effects
H1a: viewing posts → informational value .400** 7.202 supported
H1b: viewing posts → perceived social value .457** 8.431 supported
H2a: informational value → attitude toward community .271** 4.940 supported
H2b: informational value → attitude toward brand .294** 4.748 supported
H3a: perceived social value → attitude toward community .549** 13.416 supported
H3b: perceived social value → attitude toward brand .060 1.061 rejected
H4: attitude toward community → attitude toward brand .324** 3.735 supported
H5a: attitude toward community → participation intention .652** 12.538 supported
H5b: attitude toward community → purchase intention .151* 2.463 supported
H6a: attitude toward brand → participation intention .070 1.458 rejected
H6b: attitude toward brand → purchase intention .632** 10.194 supported
H7: participation intention → purchase intention .002 0.057 rejected
Tests of Hypotheses
Department of Marketing, College of Management, Shenzhen
UniversityProf. Dr. Zhimin Zhou [email protected]
Control effects Coefficient t-value
Gender → purchase intention .004 .181
Age → purchase intention -.005 .127
Income → purchase intention .073 1.554
Education → purchase intention .036 1.275
Dependent variables Overall R2
informational value .160
perceived social value .209
attitude toward community .536
attitude toward brand .349
participation intention .486
purchase intention .541
Cont’d
Department of Marketing, College of Management, Shenzhen
UniversityProf. Dr. Zhimin Zhou [email protected]
Research Conclusions
×
××
Department of Marketing, College of Management, Shenzhen
UniversityProf. Dr. Zhimin Zhou [email protected]
Managerial Implications
●facilitating online information sharing
●foster a culture of harmony
●promote members’ interactions
Department of Marketing, College of Management, Shenzhen
UniversityProf. Dr. Zhimin Zhou [email protected]
Limitations and Future Research
●common method bias
●variation of the model among different industries
●dynamic mechanism from visitors to members