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Chapter 3 Research Methodology

4.2 Reliabilities

The reliabilities of all constructs in this research were tested with Cronbach’s

alpha. Table 10 shows all reliabilities as all above .7 across all factors which means

the high internal consistency of each item of the same factor.

Table 10 Reliability Statistic

Factors Cronbach’s alpha N of items

Perceived Quality(1) 0.927 5

Perceived Quality(2) 0.925 5

Perceived Knowledge 0.885 6

Self-Esteem 0.834 10

4.3 Analysis of Result

After confirming all checks and the reliability of the scales, ANOVA was

applied to test the hypotheses.

4.3.1 Effects of the Self-Esteem

To examine whether there were effects of Self-Esteem on information receiver’s

Perceived Quality and information searching, MANOVA was used here. H1a

speculated that the high Self-Esteem about information receiver was less affected on

Perceived Quality than the low Self-Esteem about information receiver. H1b

speculated that the higher Self-Esteem about information receiver less actively

searches information.

The MANOVA showed significant main effects for Self-Esteem (F=5.90,

significant main effects on information searching (F=0.001, p=0.971). It appears that

the level of information searching was not dependent on an individual’s level of

Self-Esteem. H1b which proposes that the higher Self-Esteem about information

receiver less actively searches information were not supported. See Figure 4 and 5 for

two graph of the hypothesis.

Figure 4 Main effect of Self-Esteem (1)

Figure 5 Main effect of Self-Esteem (2 )

4.3.2 Effects of the Knowledge

To examine whether there were effects of receiver’s knowledge on information

receiver’s Perceived Quality and information searching, MANOVA was used here.

H2a speculated that the high knowledge with information receiver was less affected

on Perceived Quality than the low knowledge with information receiver. H2b

speculated that the higher knowledge with information receiver less actively searches

information.

The MANOVA showed significant main effects for knowledge (F=13.040,

p=0.0001) on Perceived Quality. H2a was supported. None of the knowledge variable

had significant main effects on information searching (F=1.774, p=0.185). It appears

that the level of information searching was not dependent on an individual’s level of

knowledge. H1b which proposes that the higher knowledge with information receiver

less actively searches information were not supported. See Figure 6 and 7 for two

graph of the hypothesis.

Figure 6 Main effect of knowledge (1)

4.3.3 Interaction between Self-Esteem and Knowledge

In this section an attempt was made to demonstrate whether there was an

interaction effect between Self-Esteem and the level of knowledge on Perceived

Quality and level of information sought. H3a assumed that the Self-Esteem was a

moderate variable which influence the effect of knowledge on the WOM.

H3b assumed that the Self-Esteem was a moderate variable which influence the effect

of knowledge on the level of information sought. This research used MANOVA to

test H3a and H3b. Table 11 and Table 12 give the descriptive statistics of variance of

perceived quality and level of information sought respectively.

Table 11 Descriptive Statistics(Variance of Perceived Quality)

Self-Esteem

Low High Mean (Std. Deviation) N Mean (Std. Deviation) N

Low knowledge 1.2163(.89799) 49 1.1953(.96460) 43 High knowledge 1.0343(.79036) 35 .3933(.54452) 30

Table 12 Descriptive Statistics(Level of information sought)

Self-Esteem

Low High Mean (Std. Deviation) N Mean (Std. Deviation) N

Low knowledge 5.3265(.77427) 49 5.2326(.89542 43

High knowledge 5.0286(1.07062) 35 5.1333(.97320 30

Table 13 MANOVA

Source Dependent Variable

Type III Sum of

Squares df Mean Square F Sig.

Corrected Model Variance of perceived quality 14.991(a) 3 4.997 7.104 .000

Level of information sought 1.991(b) 3 .664 .788 .502

Intercept Variance of perceived quality 139.626 1 139.626 198.496 .000

Level of information sought 4067.109 1 4067.109 4827.971 .000

knowledge Variance of perceived quality 9.173 1 9.173 13.040 .000

Level of information sought 1.494 1 1.494 1.774 .185

Selfesteem Variance of perceived quality 4.150 1 4.150 5.900 .016

Level of information sought .001 1 .001 .001 .971

knowledge * Selfesteem Variance of perceived quality 3.641 1 3.641 5.176 .024

Level of information sought .374 1 .374 .444 .506

Error Variance of perceived quality 107.624 153 .703

Level of information sought 128.888 153 .842

Total Variance of perceived quality 283.640 157

Level of information sought 4372.000 157

Corrected Total Variance of perceived quality 122.615 156

Level of information sought 130.879 156

a R Squared = .122 (Adjusted R Squared = .105) b R Squared = .015 (Adjusted R Squared = -.004)

Table 14 shows that there was interaction effect on variance of perceived quality

(F = 5.176, p=0.024) and Table 15 shows that there was no interaction effect on level

of information sought (F =0.444, p=0.506). Thus hypotheses 3a were supported but 3b

aren’t. The results were more clearly shown on Figure 8 and Figure 9.

Table 14 ANOVA of Variance of Perceived Quality

Source

Corrected Model 14.991(a) 3 4.997 7.104 .000

Intercept 139.626 1 139.626 198.496 .000

knowledge 9.173 1 9.173 13.040 .000

Selfesteem 4.150 1 4.150 5.900 .016

knowledge * Selfesteem 3.641 1 3.641 5.176 .024

Error 107.624 153 .703

Total 283.640 157

Corrected Total 122.615 156

a R Squared = .122 (Adjusted R Squared = .105)

Table 15 ANOVA of Level of Information Sought

Source

Intercept 4067.109 1 4067.109 4827.971 .000

knowledge 1.494 1 1.494 1.774 .185

Selfesteem .001 1 .001 .001 .971

knowledge * Selfesteem .374 1 .374 .444 .506

Error 128.888 153 .842

Total 4372.000 157

Corrected Total 130.879 156

a R Squared = .015 (Adjusted R Squared = -.004)

Figure 8 Interaction effects (1)

Figure 9 Interaction effects (2)

High Self‐Esteem    Low Self‐Esteem           

High Self‐Esteem    Low Self‐Esteem           

4.3.4 Effect of the cell

According to different cell, this research would like to know the result which was

relatively compared with the four different cells. The study posit that the consumer

who have higher knowledge and higher Self-Esteem have the less influence of WOM

than others. The cell was designed on Table 16. T test was used here. The cell 4 has

significant different with cell 2. To highly knowledgeable receiver, the personality of

higher self-esteem, the less the influence of the WOM was on the receiver’s perceived

quality. H4 was supported. The results were shown on Table 18.

Table 16 Cell Design

Self-Esteem

Knowledge

Low High

Low 1 2

High 3 4

Table 17 Group Statistics

cell N Mean

Std.

Deviation

Std. Error Mean Variance of

Perceived Quality

2.00 35 1.0343 .79036 .13360

4.00 30 .3933 .54452 .09942

Table 18 Independent Samples Test Levene's Test for

Equality of Variances t-test for Equality of Means

F Sig. t df

Sig.

(2-tailed)

Mean Difference

Std. Error Difference

95% Confidence Interval of the Difference

Upper Lower Variance of

Perceived Quality

Equal variances

assumed 5.465 .023 3.743 63 .000 .64095 .17123 .29878 .98312

Equal variances not

assumed 3.849 60.376 .000 .64095 .16653 .30789 .97401

Chapter 5 Discussion and Future Research

5.1 Discussion and Results

The results of this study indicated that hypothesis 1a holds, which means that

people with higher self-esteem would cause less influence due to the sender’s WOM

on the receiver’s perceived quality, since that people with higher self-esteem are

generally more confident with their ability (Anton et al., 2008). The hypothesis 1b

does not hold, which mean that the information searching is not influenced by

self-esteem. It the higher self-esteem doesn’t want to seek information through others.

They still search information depend their ability.

Besides, the hypothesis 2a also holds, which mean that highly knowledgeable

consumers are less likely to rely on information when making judgments, since they

considered that they have enough knowledge to make judgment. The hypothesis 2b

does not hold. It is possible that knowledge also helps the individual reducing the

cognitive cost of searching information and increasing the benefit of obtaining it

(Bansal and Voyer, 2000).

Furthermore, H3a and H4 are supported. It is inconsistent with the previous

perception upon the highly knowledgeable consumers. The study discovered that

self-esteem played the moderating role which influences the persuasion effect of

knowledge. The significant interaction suggests that the effect of WOM is moderated

by self-esteem. Highly knowledgeable consumers with high self-esteem are less likely

to rely on WOM information when making judgments than consumers with high

knowledge and low self-esteem. The H3b does not hold, which means it had not only

main effect but also interaction effect on level of information sought.

5.2 Implication

According to the forgoing argument, the effect of knowledge on the persuasion effect

was argued by many scholars. The study finds out a variable which influence the

outcome of the research. To high knowledge consumers, the condition was dissimilar,

the result was dissimilar.

The implications of this study were that personality can help companies to

understand what kind people can be affected easily. However, results can be different

for different kinds of people across difference personality. If the companies can obtain

easily the material of personality characteristic in the future, they will consider

formulating strategy through it. When making market segment, they can use different

strategy according to different personality. They can easily find out the human who

were likely persuaded and then give them WOM.

It was important regarding information searching whatever the level of

knowledge. The companies must make the populace easy to obtain their information

and reduce cost of information searching.

5.3 Limitation

One of limitations in this study was the type of respondents used. All of

participants were students, and most of them were under 25 years old, which was not

a reflection of the real demographics of a society. Younger people may have different

perceptions about Word-of-Mouth from people at older ages.

Second, the common method bias was possible to exist. The second

questionnaire regarding statement of WOM refers to the fact that items may convey

hidden cues as to how to respond to them. This research measured customer Perceived

Quality after WOM given, which may lead participants to believe that they will need

to reduce their attitude.

Third, the study attempted to make all participants contacted with WOM more

involved in the face to face. However, as the questionnaire was used to collect

samples, it was possible that the situation was not truth. Participants did not

concentrate on the experiments during the process. If participants could contact with

WOM through face to face, the situation may be improved. But it also costs more

time.

Furthermore, the study manipulated the negative WOM. It can’t be observed

what the result would be through positive WOM, because the negative WOM has

bigger strong influence than positive WOM according to past research.

5.4 Future Research

In order to establish the real feelings of WOM and to enhance the interaction

between information sender and receiver, future research could consider the receiver

contacting the information sender face to face. Therefore, information sender offers

them the different comment in term of their different judgments. If the receiver has a

negative judgment, they will give them positive commend, and vice versa.

Maybe there were some personalities that could influence persuasion of WOM

except self-esteem. Future research could attempt to discover other personalities

which could influence persuasion of WOM.

The research focused on effect of WOM in the product industry. However,

service industries were studied by other scholars. It was, therefore, suggested that the

researches into the WOM of service industry would be appropriate and valuable.

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Appendix 1 Research Questionnaire (First)

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Appendix 2 Research Questionnaire (Second)

 

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