2. Citation
Wu, S. (2002). Internet Marketing
Involvement and Consumer Behavior,
Asia Pacific Journal of Marketing and
Logistics, 14(4), 36-53.
2
3. Contents
Introduction
Purpose
Literature Review
Methodology
Result
Conclusion
Reflection
3
4. Introduction
The level of consumer involvement
in a product category or service is a
major determinant of online
purchase or usage behavior.
4
5. Purpose
To determine the relationship among
involvement antecedents of Internet
marketing, measured involvement
degree related constructs, and
consequences of consumer behavior
5
7. Involvement result is the
customer’s ultimate concern
with a purchase or
consumption experience.
(Bolfing,1988)
7
8. Involvement included
experiencing a number of positive
results such as the rewards
inherent in the product and the
product’s expressive values.
(Holbrook & Hirschman,1982)
8
9. Figure1. Framework
Antecedents: Consumer behavior:
a. Personal a. Purchase decision
characteristics b. Items Purchased
b. Lifestyle Degree of c. Amount of money
c. Perception needs involvement spent
d. Situations d. Volume of
purchase
e. Trade mode
(Andrews, Durvasula ,& Akher,1990)
9
10. Hypotheses
H1: The degree of Internet marketing involvement
is significantly related with consumer’s
personal characteristics.
H2: The degree of Internet marketing involvement
changes significantly with different consumers’
lifestyles.
H3: The degree of Internet marketing involvement
changes significantly with different consumers’
perception needs.
10
11. Hypotheses
H4: The degree of Internet marketing involvement is
significantly related with situations.
H5: Consumer behavior is significantly related with
the degree of Internet marketing involvement.
11
16. H1: The degree of Internet marketing involvement is significantly related with
consumer’s personal characteristics.
Table 2. Personal characteristics analysis
Involvement degree cluster
Characteristics Chi-square
Low Intermediate High
item (p)
1.887 Graduate,
Education High school College
(0.000)** College
Student,
58.462 Laborers,
Occupation Student Business
(0.000)** Service workers
professional
Middle (58.9% High (48.8%
$550 below/per Low (71.6% $550 below/per
Income (US$ 29.469
month, 31.8% $550 below/per month, 38.4%
/per month) (0.000)**
$551-1150/per month) $551-1150/per
month) month)
**: P<0.01
Internet marketing involvement was significantly of consumer
personal characteristics. 16
17. H2: The degree of Internet marketing involvement changes significantly with
different consumers’ lifestyles.
Table 3. Factor analysis and reliability for lifestyle
Cumulative
Cronbach’s
Factor name Eigenvalue percnet of
alpha
variance
1. Fashion and ego 2.591 14.395 0.7060
2. Independence and
2.214 26.696 06523
freedom
3. Family life 1.583 35.488 0.3777
4. Information inquiry and
1.556 44.131 0.2096
arbitrary
5. Effect and excitement 1.274 51.210 0.0892
The Cronbach’s alpha of fifth factor was too low 17
18. H2: The degree of Internet marketing involvement changes significantly with
different consumers’ lifestyles.
Table 4. Analysis of variance for lifestyle
Involvement degree cluster
Factor name Low Intermediate High Scheffe
F P
(1) (2) (3) test
1. Fashion and (1,3)
-1.6388 -0.0703 0.2730 9.083 0.000**
ego (2,3)
2. Independence (1,3)
0.01702 -0.2060 0.3422 16.480 0.000**
and freedom (2,3)
3. Family life -0.1536 -0.0177 0.1722 4.303 0.014* (1,3)
4. Information
inquiry and 0.1001 -0.0149 -0.0664 1.150 0.317
arbitrary
**: P<0.01, *:P<0.05
Internet marketing involvement differed significantly in relation
to three different lifestyle factors. 18
19. H3: The degree of Internet marketing involvement changes significantly with
different consumers’ perception needs.
Table 5. Factor analysis and reliability for perception needs
Cumulative percent Cronbach’s
Factor name Eigenvalue
Of variance alpha
1. Safe and trust 2.595 15.263 0.7318
2. Knowledge and
understanding 2.374 29.231 0.6951
3. Convenience
and speed 2.051 41.296 0.6715
4. Effective 1.760 51.647 0.5199
Four perception need factors by using factor analysis
19
20. H3: The degree of Internet marketing involvement changes significantly with
different consumers’ perception needs.
Table 6. Analysis of variance for perception needs
Involvement degree chuster
Low Intermediate High Scheffe
Factor name F P
(1) (2) (3) test
(1,3)
1. Safe and trust -0.4551 0.1453 0.1673 22.432 0.000**
(2,3)
2. Knowledge and (1,3)
0.0180 -0.1920 0.3158 14.023 0.000
understanding (2,3)
3. Convenience
-0.0496 -0.00275 0.0837 1.273 0.281
and speed
(1,3)
4. Effective -0.1552 -0.1627 0.4246 21.776 0.000
(2,3)
**: P<0.01
Internet marketing involvement differed significantly in relation
to three perception need factors. 20
21. H4: The degree of Internet marketing involvement is significantly related
with situations.
Table 7. Situation analysis
Involvement degree cluster
Situations Chi-square
Low Intermediate High
Item (p)
Home (55.6%) Home (50.9%) Home (49.4%)
Online 24.417
School School School (25.6%)
location (0.002)**
(27.8%) (33.3%) Office (17.7%)
Online 15 hours 15 hours 15 hours blow
30.589
frequency below below (49.4%)
(0.000)**
(per week) (71.5%) (71.5%) 16-30 hours (29.9%)
24.487 Kimo, Yahoo Kimo, Yahoo
Web site Kimo, Yahoo (68.3%)
(0.004)** (69.5%) (60.4%)
Internet marketing involvement was significantly related with
the situation.
21
22. H5: Consumer behavior is significantly related with the degree of Internet
marketing involvement.
Table 8. Consumer behavior analysis
Involvement degree cluster
Consumer Chi-square
Low Intermediate High
Behavior item (p)
Online 26.913
9.7% 14.8% 22.1%
purchase rate (0.000)**
High freight
High freight
Reasons for not 102.171 High freight charge (34.0%),
charge (34.0%),
shopping online (0.000)** charge (48.3%) Long delivery
Unsafe (31.1%)
time (18.2%)
Amount of
62.845 US$28 below US$29-86 US$29-86
money/per
(0.000)** (57.1%) (48.39%) (54.72%)
month
2-7 times
Purchase
59.304 Once and below (41.94%), 2-7 times
frequency/per
(0.000)** (50%) 8-10 times (59.62%)
month
(38.71%)
Internet marketing involvement correlating to consumer behavior
22
23. H5: Consumer behavior is significantly related with the degree of Internet
marketing involvement.
Table 8. Consumer behavior analysis
Involvement degree cluster
Consumer Chi-square
Low Intermediate High
Behavior item (p)
Credit card
14.677 Credit card
Pay mode Mail (33.68%) (35.98%),
(0.023)** (33.77%)
Mail (35.37%)
Purchase Book (48.17%),
31.813 Book (41.06%), Book (37.2%),
product Grocery
(0.001)** Grocery(31.13%) Grocery (23.51%)
categories (17.68%)
Product
Product Product information
information information (35.37%)
(24.5%) (31.93%) Company
Service 26.258
Promotion Company image image
acquisition (0.003)**
(23.84%) (19.65%) (17.07%)
Customer service Promotion Customer
(21.19%) (19.3%) service
(16.46%)
Internet marketing involvement correlating to consumer behavior
23
25. This study attempted to identify all
influence factors and respondent behavior
to Internet marketing.
Such research efforts will contribute to
enrich our understanding of Internet
marketing related factors and frameworks.
25
26. Future research should apply the
framework developed in this paper to
other products.
Introduce additional variables to identify
more relationships and reach more
effective results.
26