• 沒有找到結果。

從意象形成及知覺風險探討海外度假打工者之知覺價值與滿意度

N/A
N/A
Protected

Academic year: 2022

Share "從意象形成及知覺風險探討海外度假打工者之知覺價值與滿意度"

Copied!
116
0
0

加載中.... (立即查看全文)

全文

(1)

Department of Graduate Institute of Business Administration College of Management

National Taiwan University Master Thesis

The Impact of Destination Image Formation and Perceived Risk on Perceived Value and Satisfaction: A study of

Taiwanese Working Holiday Makers

Yu-Ting Cheng

Advisor: Houn-Gee Chen, Ph.D.

104 6

June, 2015

(2)
(3)

2015 6

(4)

13

2014 10 16.5

2012 7.7

Baloglu and McCleary (1999)

(5)

Abstract

Working holiday program has become one of the popular programs among the young adults prior to pursuing their regular career commitment. Such program provides a way to encourage international understanding and broaden global perspectives by enabling young people to experience the culture of another country. To further facilitate its benefits, many governments start initiating policies to promote working holiday program. Among them, Taiwan government has already made working holiday agreements with 13 countries, from Asia Pacific, America to Europe. Recently, the total number of Taiwanese working holiday makers had reached 165,000 headcounts, which are more than twice of that in 2012. These facts show a significant increase trend on working holiday makers; however, the researches into its ante factors still remain limited.

Based on Destination Image Formation model (Baloglu & McCleary, 1999), this research aims to examine the impacts of information sources, motivations, destination image and perceived risk on perceived value and satisfaction. The informants were those who had completed the working holiday. Online questionnaire was administrated to collect the data. The research results show that motivation towards working holiday has strong positive effect on both destination image and perceived value. The impact of destination image on perceived value and perceived value on satisfaction are also positive. However, the results don’t support the hypotheses regarding to information sources and perceived risk.

Keywords: Working holiday, Motivation, Destination image, Perceived risk, Perceived

(6)

... ii

Abstract ... iii

... iv

... vi

... viii

... 1

... 1

... 6

... 7

... 9

... 9

... 13

... 18

... 32

... 36

... 39

... 40

... 40

... 43

... 46

... 53

... 55

(7)

... 56

... 56

... 63

... 65

... 76

... 78

... 84

... 84

... 88

... 91

... 93

... 100

(8)

1-1 ... 2

1-2 ... 3

1-3 ... 4

2-1 ... 10

2-2 ... 16

2-3 ... 22

2-4 / ... 23

2-5 ... 34

2-6 ... 37

3-1 ... 46

3-2 ... 47

3-3 ... 49

3-4 ... 50

3-5 ... 51

3-6 ... 52

4-1 ... 57

4-2 ... 59

4-3 ... 61

4-4 ... 62

4-5 ... 62

4-6 CRONBACH’ ... 64

4-7 KMO ... 67

(9)

4-8 KMO BARTLETT ... 67

4-9 ... 69

4-10 ... 69

4-11 ... 70

4-12 ... 71

4-13 ... 72

4-14 ... 73

4-15 ... 74

4-16 ... 74

4-17 ... 75

4-18 ... 76

4-19 ... 77

4-20 ... 79

4-21 ... 80

4-22 80 4-23 ... 81

4-24 ... 81

4-25 ... 82

4-26 ... 82

4-27 ... 83

5-1 ... 84

(10)

1-1 ………..………...7

2-1 ………20

2-2 ………25

2-3 ………26

3-1 ………41

4-1 ………78

(11)

working

holiday 2014

60

42 33 31 20 11 2004

2009 2013

2014

4 13

8

1-1

(12)

1-1

2004/02/20 2004/06/01 600 18-30 1

2004/07/15 2004/11/01 18-30 1

2009/04/03 2009/06/01 5,000 18-30 1

2010/04/16 2010/07/10 1,000 18-35 1

2010/10/11 2010/10/11 300 18-30 1

2010/11/23 2011/01/01 400 18-30 1

2011/09/29 2012/01/01 1,000 18-30 2

2012/10/05 2013/01/01 400 18-30 1

2013/03/06 2013/03/29 200 18-30 1

2014/04/15 2014/10/23 100 18-35 1

2014/11/05 2014/12/01 200 18-30 1

2014/02/21 2014/12/31 100 18-35 1

2014/11/18 2015/01/26 50 18-30 6

2014

2012 7.7 2014 10

16.5

1-2

2014 10

2000 200 5000

300 12

2014

(13)

1-2

2014/10/31

6,000 3.65%

129,000 78.47%

20,000 12.17%

4,700 2.86%

750 0.46%

1,200 0.73%

2,500 1.52%

350 0.21%

200 0.12%

164,391 100%

2014

2005

2014 10

3,208 3 8

1-3 2014

(14)

1-3

94 4 400,000 2 2 3 1 0

95 66 7,519,000 22 44 14 37 15

96 89 10,280,000 27 62 12 32 45

97 146 16,677,500 43 103 24 30 92

98 172 19,983,000 42 130 11 33 128

99 368 42,456,000 100 268 34 56 278

100 524 61,122,000 168 356 31 61 432

101 848 99,574,000 273 575 44 80 724

102 613 71,926,000 206 407 37 47 529

103-10 378 43,856,000 116 262 28 66 284

3,208 373,793,500 999 2,209 238 443 2,527

2014

gap year

2013

(15)

2011

Baloglu and McCleary (1999)

(16)

Baloglu and McCleary (1999)

(17)

1-1

1-1

(18)
(19)

tourism work

(Uriely, 2001) Uriely (2001)

travelling professional workers migrant tourism workers

non-institutionalized working tourists working-holiday tourists

travelling workers working

tourists

Working Holiday 2-1

Working holiday Cohen (1973)

working holiday

(20)

2-1

Uriely (2001)

working holiday

2010

Working Holiday Visa Scheme

working holiday makers 13

18 30 35

1-1

(21)

2014

WWOOF World-Wide Opportunities on Organic Farms

2012 9

2012

(22)

2012

2015

(23)

Schiffman and Kanuk (2000)

2006 2010

2006 2010

(Um & Crompton, 1990; Baloglu & McCleary, 1999;

Gartner, 1993) Baloglu and McCleary (1999) sociopsychological

touristic benefits sought

(Gartner, 1993; Dann, 1996) 2010

(Mohammad & Mat Som, 2010) McIntosh and Gupta (1980)

(24)

physical motivators

cultural motivators

interpersonal motivators

status and prestige motivators

2008

Pearce (1988) Theory of Hierarchy of Needs

travel career ladder, TCL

relaxation safety/security

relationship self-esteem and development

self-actualization/fulfillment

(Pearce & Lee, 2005)

Pearce and Lee (2005) pattern

ladder career 2005

TCL travel career pattern, TCP 2007

push and pull factors

(25)

(Dann, 1977; Baloglu & Uysal, 1996; Hsu et al., 2014) Crompton (1979)

escape relaxation self-exploratory

prestige regression kinship enhancement

social interaction novelty

education Baloglu and Uysal (1996)

(Mohammad & Mat Som, 2010)

Paris and Teye (2010) TCP

/

personal/social growth experiential budget travel

independence relaxation cultural knowledge

Lin, Lee and Wang (2012)

grow up and

endurance learn and experience experiences of

foreign culture shopping and food practice and

salary

2014

(26)

Kawashima (2010)

language learning self-improvement

dissatisfaction with current working status

2-2

2-2

Crompton 1979

McIntosh and Gupta 1980

Pearce 1988

Paris and Teye 2010 /

Kawashima 2010

Lin, Lee and Wang 2012

2014

(27)

Paris and Teye (2010) / Lin, Lee and Wang (2012)

Crompton (1979)

Lin, Lee and Wang (2012) 2014

(28)

Image

Boulding (1956)

2007 /

tourism image tourist destination image

destination image

(Pike, 2002; Chen & Tsai, 2007; Kim, Holland & Han, 2012; Sun, Chi & Xu, 2013; 2011) Hunt (1985) Baloglu and McCleary (1999)

beliefs ideas impressions (Baloglu & McCleary, 1999)

(Crompton, 1979)

(29)

(Beerli & Martín, 2004) (Assael, 1984)

Gartner (1993)

cognitive image

affective image

conative image

Echtner and Ritchie (1991)

2-1

(30)

attributes — holistic

functional — psychological

common — unique

2-1

Echtner & Ritchie (1991)

(31)

Echtner and Ritchie (1991) 14

functional — psychological

35 2-3

Beerli and Martín (2004)

72 /

2-4 /

/

(32)

2-3

/

Functional Physical/Measurable /

/ /

/ /

/

/ / /

/ /

/

/

/

/ /

/

/

Psychological Abstract Echtner & Ritchie (1991)

(33)

2-4 /

/ /

/ /

/ /

/ / /

/

/ /

/

/

Beerli & Martín (2004)

(34)

affective quality attributed to environments

(Russel & Pratt, 1980) Russel and Pratt (1980) 105

pleasant — unpleasant arousing —

sleepy

exciting — gloomy relaxing —

distressing

(Baloglu & McCleary, 1999)

(Russel & Snodgrass, 1987) Baloglu and McCleary (1999) Beerli and Martín (2004)

Gartner (1993)

Echtner and Ritchie (1991)

Beerli and Martín (2004) Echtner and Ritchie (1991)

Russel and Pratt (1980)

(35)

Baloglu and McCleary (1999)

/ perceptual/ cognitive components affective components

overall/global image

Baloglu and McCleary (1999) 2-2

stimulus factors personal factors

2-2

Baloglu & McCleary (1999) Personal Factors Destination Image

/

Stimulus Factors

(36)

Baloglu and McCleary (1999)

Path Model of the Determinants of Tourism Destination Image Before Actual Visitation 2-3

/

2-3

Baloglu & McCleary (1999)

Variety (amount) of Information Sources

Type of Information Sources

Age

Education

Socio-psychological Travel Motivations

/

Perceptual/Cognitive Evaluation

Affective Evaluation

Overall Image

(37)

Baloglu and McCleary (1999)

/

/

/

2013

Information sources factor

(Stern & Krakover, 1993; Gartner,1993;

Baloglu & McCleary, 1999; Beerli & Martín, 2004) Gunn (1988)

organic image

induced image

(38)

(Echtner & Ritchie, 1991)

Gartner (1993) image

formation agent

1 induced

2 autonomous

3 organic

2013

(Buhalis, 1998)

Baloglu and McCleary (1999)

(39)

Baloglu and McCleary (1999)

Socio-demographical factor

(Um

& Crompton, 1990; Baloglu & McCleary, 1999; Beerli & Martín, 2004)

(Baloglu & McCleary, 1999)

(40)

Socio-psychological travel motivations factor

(Baloglu &

McCleary, 1999; Gartner, 1993)

(Gartner, 1993)

Beerli and Martín (2004) 2-4

(41)

Russel and Pratt (1980)

(42)

(Schiffman & Kanuk, 2000) Bauer (1960) perceived risk

Cunningham (1967) uncertainty

consequence

Moutinho (2000)

(Dowling, Grahame & Staelin, 1994)

(Roselius, 1971) Jacoby and Kaplan (1972)

financial risk

performance risk

(43)

physical risk

psychological risk

social risk

Stone and Gronhaug (1993) Roselius (1971)

time risk –

(Fuchs &

Reichel, 2011) Roehl and Fesenmaier (1992)

equipment

risk satisfaction risk

Sonmez and Graefe (1998)

political risk

terror risk (Han, 2005)

(An, Lee & Noh, 2010)

Lepp and Gibson (2003)

Fuchs and Reichel (2011)

(44)

Lin, Lee and Wang (2012)

2-5

2-5

Roselius 1971

Jacoby and Kaplan 1972 Roehl and Fesenmaier 1992 Stone and Gronhaug 1993 Sonmez and Graefe 1998

Lepp and Gibson 2003

Han 2005

2005

An, Lee and Noh 2010

Lin, Lee and Wang 2012

(45)

gap year

Jacoby and Kaplan (1972) 2006

Sonmez and Graefe (1998) An, Lee and Noh (2010)

Lin, Lee and Wang (2012)

(46)

perceived value

perceived

quality perceived sacrifice

(Monroe, 1990; Zeithaml, 1988; Dodds, Monroe & Grewal, 1991)

(Zeithaml, 1988; Wood & Scheer, 1996) Zeithaml (1988)

Bolton and Drew (1991)

(47)

(Oh, 1999; Gallarza & Saura, 2006; Chen & Chen, 2010;

2008)

Sa´nchez, Callarisa, Rodr ´guez, and Moliner (2006)

Vogt and Fesenmaier (1998)

functional hedonic

innovation aesthetic sign Petrick and Backman (2002)

acquisition value transaction

value 2006

2-6

2-6

Vogt and Fesenmaier 1998 Petrick and Backman 2002 Sa´nchez, Callarisa,

Rodr ´guez, and Moliner 2006 2006

2011

(48)

Zeithaml (1988)

– – Vogt and Fesenmaier (1998)

2006

(49)

(Woodside, Frey &

Daly, 1989)

(Hampel, 1977) (Miller, 1979)

(Fornell, 1992; Kotler, Bowen & Makens, 2003) Oliver (1980) Expectancy Disconfirmation Theory

Baker and Crompton (2000)

2005

2008 2012 2013

(Yoon & Uysal, 2005)

(Yoon & Uysal, 2005) Yoon and Uysal (2005) /

Yoon and Uysal (2005)

(50)

Baloglu and McCleary (1999)

2011

3-1

(51)

3-1

Baloglu and McCleary (1999)

H1 H2 H3

H4

H5

H6

(52)
(53)

(Stern & Krakover, 1993; Gartner,1993; Baloglu & McCleary, 1999; Beerli

& Martín, 2004) Echtner and Ritchie (1991) Gartner (1993)

2013 Baloglu and McCleary (1999)

H1

Baloglu and McCleary (1999)

Dann (1996) Gartner (1993)

(54)

H2

(Baloglu &

McCleary, 1999) (Fielding, Pearce

& Hughes, 1992; 2010)

H3

(Pike, 2002; Chen & Tsai, 2007;

Kim, Holland & Han, 2012; Sun, Chi & Xu, 2013) Lee et al. (2005)

Chen and Tsai (2007)

2011

H4

(55)

Monroe (1990)

Wood and Scheer (1996) psychic cost

Sweeney et al. (1999)

H5

(Oh, 1999; Gallarza & Saura, 2006; Chen & Chen, 2010; 2011) Gallarza

and Saura (2006) —

— — Oh

(1999)

H6

(56)

Baloglu and McCleary (1999)

13

/ / / /

/ / / /

13 –

1 Likert

1 5 6

3-1

3-1

1.

2.

3. / / /

4. / /

5. / /

Baloglu &

McCleary (1999)

(57)

Schiffman and Kanuk (2000)

Paris and Teye (2010) Crompton (1979) Lin, Lee and Wang (2012) 2014

Baloglu and McCleary (1999)

27 1 5

3-2

3-2

1.

2.

3.

4.

Paris & Teye (2010) Crompton

(1979) 5.

6.

7.

8.

Paris & Teye (2010)

9.

10. /

11.

12.

Lin, Lee &

Wang (2012) Baloglu &

McCleary (1999)

(58)

13.

14.

15.

16.

17.

Paris & Teye (2010) Lin, Lee & Wang

(2012) 18.

19.

20.

21.

22. /

Paris & Teye (2010) Lin, Lee & Wang

(2012)

23.

24.

25.

26. /

27.

Lin, Lee &

Wang (2012)

2014

Beerli and Martín (2004) Russel and Pratt (1980)

1 5 24

3-3

(59)

3-3

1.

2.

3.

4.

5.

6.

Beerli &

Martín (2004)

7.

8.

9.

10.

11.

Beerli &

Martín (2004)

12.

13.

14.

15.

16.

Beerli &

Martín (2004) Baloglu &

McCleary (1999) 17.

18.

19.

20.

21.

22.

Beerli &

Martín (2004)

23. —

24. —

Russel &

Pratt (1980)

(60)

Jacoby and Kaplan (1972) 2006 Sonmez and Graefe (1998) An, Lee and Noh (2010) Lin, Lee and Wang (2012)

21

1 5

3-4

3-4

1.

2.

3.

4.

Jacoby &

Kaplan (1972)

5.

6.

7.

8.

9.

Jacoby &

Kaplan (1972) Sonmez &

Graefe(1998) 10.

11.

12.

13. 2006

14.

15.

16.

17.

Jacoby &

Kaplan (1972) 18.

19.

Lin, Lee &

Wang (2012)

(61)

20.

21.

Zeithaml (1988) –

Vogt and Fesenmaier (1998) 2006

21 1

5 3-5

3-5

1.

2.

3. Vogt &

Fesenmaier (1998)

2006 4.

5.

6.

7.

8.

9.

(62)

10.

11.

12.

13.

14.

15.

16.

17.

18.

19.

20.

21.

Yoon

and Uysal (2005) 4 1

5 3-6

3-6

1.

2.

3.

4.

Yoon & Uysal (2005)

(63)

2004

13

144

11

6

(64)

E-mail 3 5

mySurvey convenience sampling

PTT WorkanTravel Facebook

– . !!!!!D.NoW *

Let's enjoy your working holiday in Australia!*

Hungarian Belgium

100

2015 3 22 31 10 222

222 100%

(65)

SPSS

Descriptive Analysis Correlation Analysis

Reliability Analysis Validity Analysis consistency stability

2011

Multiple Regression Analysis Path Analysis

R2

(66)

2015 3 22 31

10 222 222 100%

222 155 69.8%

25-29 48.6% 30-34 31.1% 19-24

14.4% 35-39 5.9% 83.3%

11.3%

31.5% 22.1%

14.9% 9.0%

20,001-40,000 59.9% 40,001-60,000 18.9% 20,000

15.3% 20,000

(67)

93.7% 6.3% 4-1

4-1

67 30.2 30.2

155 69.8 100.0

19-24 32 14.4 14.4

25-29 108 48.6 63.1

30-34 69 31.1 94.1

35-39 13 5.9 100.0

6 2.7 2.7

6 2.7 5.4

185 83.3 88.7

25 11.3 100.0

20 9.0 9.0

70 31.5 40.5

49 22.1 62.6

15 6.8 69.4

13 5.9 75.2

20 9.0 84.2

2 0.9 85.1

33 14.9 100.0

20,000 34 15.3 15.3

20,001-40,000 133 59.9 75.2

40,001-60,000 40 18.9 93.2

60,001-80,000 8 3.6 96.8

80,000 7 3.2 100.0

208 93.7 93.7

8 3.6 97.3

6 2.7 100.0

(68)

81.5% 18.5%

62.2% 9.9% 9.9% 6.8% 3.2%

2.7% 1-2

2013

33.3% 2012 2014 23.4% 20.7%

24-29 59.9% 18-23 23% 30-35

18% 30

95%

45.9%

51.4% 40-60%

25.7% 60% 40%

23% 20-40% 44.6%

40-60% 30.6% 52.3%

40.5%

7.2% 4-2

(69)

4-2

181 81.5 81.5

41 18.5 100.0

15 6.8 6.8

138 62.2 68.9

22 9.9 78.8

22 9.9 88.7

3 1.4 90.1

4 1.8 91.9

6 2.7 94.6

7 3.2 97.7

4 1.8 99.5

1 0.5 100.0

2014 46 20.7 20.7

2013 74 33.3 54.1

2012 52 23.4 77.5

2011 20 9.0 86.5

2010 7 3.2 89.6

2009 8 3.6 93.2

2008 6 2.7 95.9

2007 5 2.3 98.2

2006 2 0.9 99.1

2005 1 0.5 99.5

2004 1 0.5 100.0

18-23 51 23.0 23.0

24-29 131 59.9 82.0

30-35 40 18.0 100.0

10 4.5 4.5

109 49.1 53.6

102 45.9 99.5

1 0.5 0.5

0-20% 40 18.0 18

20-40% 99 44.6 62.6

(70)

40-60% 48 30.6 93.2

60-80% 14 6.3 99.5

80-100% 1 0.5 100.0

0-20% 5 2.3 2.3

20-40% 46 20.7 23.0

40-60% 114 51.4 74.3

60-80% 49 22.1 96.4

80-100% 8 3.6 100.0

116 52.3 52.3

90 40.5 92.8

10 4.5 97.3

6 2.7 100.0

266 84.7%

30.6% 3.2%

614 55.9%

52.7% 46.4% 35.6%

33.8%

4-3

(71)

4-3

188 84.7

68 30.6

3 1.0

1 0.5

6 2.7

79 35.6

19 8.6

75 33.8

42 18.9

103 46.4

21 9.5

117 52.7

124 55.9

26 11.7

8 3.0

580 199

89.6% 4-4 63.5%

57.2% 41.4% 9.5%

4-5

3 2.61 4-4

(72)

4-4

92 41.4% 3.05

/

141 63.5% 4.18

21 9.5% 2.36 /

/ /

127 57.2% 3.35

199 89.6% 4.47 /

/

4-5

1 28 12.6%

2 69 31.1%

3 90 40.5% 2.61 0.94

4 31 14.0%

5 4 1.8%

(73)

reliability

2011

Likert

Split-half reliability

Cortina (1993)

0.7 0.6 0.7

1.0 0.35

2011 2006

4-6

(74)

4-6

4 0.768

0.894

4 0.706

4 0.785

5 0.645

5 0.801

5 0.689

6 0.834

0.902

5 0.810

5 0.839

6 0.813

2 0.867

4 0.664

0.892

5 0.811

4 0.823

4 0.806

4 0.884

3 0.714

0.946

6 0.895

6 0.907

6 0.855

3 0.730

0.929

6 0.841

6 0.912

6 0.802

4 0.825 0.825

0.7 0.8

0.645 0.689 0.664

0.6 0.7

(75)

validity

2011

content validity

construct validity

2011 convergent validity discriminant

validity

(76)

Factor analysis 2011

Exploratory factor analysis, EFA Confirmatory factor analysis, CFA

Comrey and Lee

(1992) 100 200 300

Gorsuch (1983) 100

27 222

0.3

KMO Kaiser-Meyer-Olkin measure of sampling adequacy

(77)

Bartlett Bartlett’s test of sphericity KMO

4-7 Bartlett

4-7 KMO

KMO >0.9 >0.8 >0.7 >0.6 >0.5 <0.5

Marvelous Meritorious Middling Mediocre Miserable Unacceptable Kaiser (1974)

KMO Bartlett 4-8

4-8 KMO Bartlett

KMO Bartlett

0.863 2586.659 351 0.000

0.851 2745.910 276 0.000

0.858 2234.41 210 0.000

0.925 3682.530 210 0.000

0.748 431.535 6 0.000

KMO 0.8

Bartlett 0.000

(78)

SPSS

factor loadings

1 -1 Hair et al. (1992) 0.6

0.4 0.5

0.5

27

15 17 18 22 0.5

4 0.5

0.511

13 0.5

14 0.5 0.516

25

4-9

(79)

4-9

4. 0.554 0.5

0.511

15. 0.430 0.5

17. 0.446 0.5

18. 0.446 0.5

22. / 0.442 0.5

13. 0.499 0.5

14. 0.532 0.5

0.516

25. 0.570

69.73%

0.862

4-10

4-10

Cronbach’s

1. 0.864

9.25% 0.695

2. 0.806

3. 0.614

(80)

5. 0.847

6.03% 0.733

6. 0.854

7. 0.695

5.37% 0.709

8. 0.786

9. 0.734

31.99% 0.855

10. / 0.775

11. 0.720

12. 0.722

16. 0.557

19. 0.668

20. 0.620

21. 0.596

10.65% 0.681

23. 0.600

24. 0.670

26. / 0.831

6.45% 0.833

27. 0.802

69.73% 0.862

24

12 19 16 4-11

4-11

12. 0.567 0.5

0.502

19. 0.485 0.5

16. 0.556 0.5

0.520

(81)

74.53%

0.884

4-12

4-12

Cronbach’s

1. 0.516

31.21% 0.849 2.

0.774

3. 0.857

4. 0.837

5. 0.783

6. 0.645

6.46% 0.730

7. 0.733

8. 0.750

9.

0.712

10.64% 0.830

10. 0.786

11. 0.800

13. 0.663

9.04% 0.791

14. 0.790

15. 0.856

17. 0.867

5.03% 0.837

18. 0.726

(82)

20. 0.746

6.92% 0.781

21. 0.842

22. 0.794

23. — 0.930

5.25% 0.867

24. — 0.921

74.53% 0.884

21

2 5 9 4-13

4-13

2. 0.447 0.5

5. 0.531

9. 0.496 0.5

70.66% 0.885

4-14

(83)

4-14

Cronbach’s

1. 0.540

7.58% 0.635

3. 0.845

4. 0.782

6. 0.784

8.49% 0.842

7. 0.845

8. 0.829

10. 0.765

10.79% 0.823

11. 0.826

12. 0.772

13. 0.565

14. 0.608

9.28% 0.806

15. 0.827

16. 0.869

17. 0.667

18. 0.779

34.53% 0.884

19. 0.870

20. 0.806

21. 0.773

70.66% 0.885

(84)

21 3

20 4-15

4-15

3. 0.604

20. 0.531 0.5

0.503

68.75%

0.940

4-16

4-16

Cronbach’s

1. 0.773

52.31% 0.939

2. 0.672

4. 0.830

5. 0.521

(85)

6. 0.705

7. 0.830

8. 0.695

9. 0.807

10. 0.814

11. 0.713

16. 0.711

12. 0.703

10.67% 0.915

13. 0.793

14. 0.838

15. 0.765

17. 0.833

5.77% 0.825

18. 0.831

19. 0.679

21. 0.635

68.75% 0.940

4 4-17

0.5

4-17

1.

2.

3.

4.

0.818 0.890 0.909 0.639

(86)

4-18

4-18

1

.082 1

.131 .545*** 1

.168* .107 .026 1

.100 .598*** .561*** .078 1

.061 .712*** .472*** .031 .632*** 1

.104 .366*** .261*** -.114 .386*** .590*** 1

* p<0.05 ** p<0.01 *** p<0.001

4-19

(87)

4-19

3 4.20 0.672

2 3.97 0.902

2 3.64 0.937

7 4.55 0.454

3 3.69 0.781

2 4.30 0.808

19 4.18 0.456

5 4.18 0.612

3 3.44 0.810

3 4.10 0.702

3 4.22 0.672

2 4.04 0.745

3 3.51 0.758

2 4.50 0.670

21 3.99 0.459

3 3.84 0.684

3 2.65 0.903

4 2.89 0.874

4 2.43 0.938

4 3.17 0.997

18 2.97 0.633

11 4.42 0.525

4 4.13 0.749

4 3.72 0.841

19 4.21 0.551

11 4.49 0.471

4 4.13 0.791

4 3.77 0.782

19 4.24 0.530

4 4.50 0.554

(88)

SPSS

p R2 R-square

p<0.05 R2

4-1

4-1

4-20 0.087 p 0.05

H1

0.087 0.537*** 0.412***

0.336***

0.025

0.386***

(89)

0.537 p 0.000

H2 R2 0.298

29.8%

variance inflation factor VIF VIF 10

VIF 1.007

4-20

B SD t p VIF

1.454 0.287 5.070 0.000

0.069 0.045 0.087 1.531 0.127 1.007

0.542 0.057 0.537 9.501 0.000*** 1.007

R2 =0.304 Adjusted R2 =0.298 F=47.826***

* p<0.05 ** p<0.01 *** p<0.001

4-21

0.415 p 0.000

0.334 p 0.000

H3 H4

R2 0.431

43.1% VIF 1.422 10

(90)

4-21

B SD t p VIF

0.515 0.286 1.804 0.073

0.502 0.073 0.415 6.864 0.000*** 1.422

0.401 0.073 0.334 5.526 0.000*** 1.422

R2 =0.436 Adjusted R2 =0.431 F=84.564***

4-22 R2

4-22

B SD t p VIF

0.445 0.328 1.357 0.176

0.502 0.073 0.415 6.845 0.000*** 1.422

0.398 0.073 0.332 5.441 0.000*** 1.437

0.021 0.049 0.023 0.440 0.661 1.018

R2 =0.436 Adjusted R2 =0.428 F=56.233***

4-23

0.559 p 0.000

0.063 p 0.05

H5

R2 0.318 31.8%

(91)

43.1%

VIF 1.001 10

4-23

B SD t p VIF

1.3740 0.302 4.555 0.000

0.670 0.067 0.559 10.017 0.000*** 1.001

0.055 0.049 0.063 1.135 0.258 1.001

R2 =0.318 Adjusted R2 =0.318 F=51.142***

4-24 0.412 0.336

p

0.025 p 0.05

R2 0.429

4-24

B SD t p VIF

0.462 0.306 1.507 0.133

0.498 0.074 0.412 6.756 0.000*** 1.439

0.402 0.073 0.336 5.531 0.000*** 1.424

0.022 0.045 0.025 0.489 0.625 1.013

R2 =0.436 Adjusted R2 =0.429 F=56.260***

(92)

4-25

0.386 p 0.000

H6 R2

0.145 14.5%

4-25

B SD t p VIF

2.864 0.266 10.769 0.000

0.388 0.063 0.386 6.202 0.000*** 1.000

R2 =0.149 Adjusted R2 =0.145 F=38.468***

4-26 0.210 p 0.010

0.002 p 0.05 0.259

p 0.002

R2 0.021 0.166

4-26

B SD t p VIF

2.325 0.351 6.632 0.000

0.256 0.098 0.210 2.603 0.010* 1.727

0.002 0.094 0.002 0.021 0.984 1.620

0.261 0.082 0.259 3.171 0.002** 1.772

R2 =0.177 Adjusted R2 =0.166 F=15.668***

(93)

4-27 0.228

-0.008 0.266

-0.159 p 0.010

R2 0.022 0.188

4-27

B SD t p VIF

2.663 0.370 7.205 0.000

0.278 0.097 0.228 2.853 0.005** 1.741

-0.010 0.093 -0.008 -0.104 0.917 1.624

0.268 0.081 0.266 3.297 0.001*** 1.774

-0.139 0.053 -0.159 -2.601 0.010* 1.014 R2 =0.202 Adjusted R2 =0.188 F=13.753***

(94)

Baloglu and McCleary (1999)

222

H2 H3 H4 H6 H1 H5 5-1

5-1

H1 0.087

H2 0.537***

H3 0.412***

H4 0.336***

H5 0.025

H6 0.386***

(95)

r=0.082, p>0.05

p>0.05 Baloglu and McCleary (1999)

5 2.61

89.6%

(Um

& Crompton, 1990; Baloglu & McCleary, 1999)

Baloglu and McCleary (1999) Dann (1996) Gartner (1993)

(Gartner, 1993;

(96)

Dann, 1996)

Lin, Lee and Wang (2012)

(97)

Gallarza and Saura (2006)

Chen and Chen (2010) 2011

(98)

4-19

(99)

89.6%

(100)

4-19

(101)
(102)

Sweeney et al. (1999)

(103)

2008

2014

2015 2015 3 15

http://youthtaiwan.net/ct.asp?xItem=103731&CtNode=3362&mp=1602

2011 SPSS ( )

2011

6(2) 21-40 2010

2010

2013

19(3) 207-231

2010 2010

627-637

2006 -SPSS

2012 2015

3 14

http://www.travel934.org.tw/GoodNewsKw/Stage/SDetail.aspx?id=728 2014

2014

2012

(104)

2006

9(4) 2005

2007

2013 2(9)

76-82

2012 821 2015 3 14

http://www.ettoday.net/news/20120912/101542.htm 2013

2007 —

4 157-180

2011 —

9 1-34 2011

An, M., Lee, C., & Noh, Y. (2010). Risk factors at the travel destination: Their impact on air travel satisfaction and repurchase intention. Service Business, 4(2),

155-166.

Assael, H. (1984). Consumer Behavior and Marketing Action. Boston: Kent Publishing Company.

Baker, D. A., & Crompton, J. L. (2000). Quality, satisfaction and behavioral intentions.

Annals of Tourism Research, 27(3), 785-804.

Baloglu, S., & Uysal, M. (1996). Market segments of push and pull motivations: A canonical correlation approach. International Journal of Contemporary Hospitality Management, 8(3), 32-38.

Baloglu, S. and McCleary, K. W. (1999). A model of destination image formation.

Annals of Tourism Research, 26(4), 808-889.

(105)

Bauer, R. A. (1960). Consumer behavior as risk taking. In Hancock, R. S. (Ed.), Dynamic Marketing for a Changing World. Chicago: American Marketing Association, 389-398.

Beerli, A., & Martín, J. D. (2004). Factors influencing destination image. Annals of Tourism Research, 31(3), 657-681.

Boulding, K. E. (1956). The Image: Knowledge in Life and Society. Michigan, MI:

University of Michigan Press.

Buhalis, D. (1998). Strategic use of information technologies in the tourism industry.

Tourism Management, 19(5), 409-421.

Chen, C. F., & Tsai, D. (2007). How destination image and evaluative factors affect behavioral intentions?. Tourism Management, 28(4), 1115-1122.

Chen, C. F., & Chen, F. S. (2010). Experience quality, perceived value, satisfaction, and behavioral intentions for heritage tourists. Tourism Management, 31(1), 29-35.

Cohen, E. (1974). Who is tourist? A conceptual clarification. The Sociological Review, 22(4), 527-555.

Comrey, A. L., & Lee, H. B. (1992). A First Course in Factor Analysis. Hillsdale, NJ:

Lawrence Erlbaum Associates.

Cortina, J. M. (1993). What is coefficient alpha: an examination of theory and applications. Journal of Applied Psychology, 78(2), 98-104.

Crompton, J. L. (1979). Motivations for pleasure vacation. Annals of Tourism Research, 6(4), 408-424.

Cunningham, S. M. (1967). The major dimensions of perceived risk. In Cox, D. F. (Ed.), Risk-taking and Information-handling in Consumer Behavior. Boston: Harvard University Press, 82-108.

Dann, G. M. S. (1977). Anomie, ego-enhancement and tourism. Annals of Tourism Research, 4(4), 184-194.

Dann, G. M. S. (1996). Tourist images of a destination: An alternative analysis. In Fesenmaier, D. R., O'Leary, J. T., and Uysal, M. (Ed.), Recent Advances in Tourism Marketing Research. New York: The Haworth Press, 41-55.

Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price, brand and store information on buyers’ product evaluations. Journal of Marketing Research, 28(3), 307-319.

Dowling, G. R., & Staelin, R. (1994). A Model of perceived risk and intended risk-handling activity. Journal of Consumer Research, 21(1), 119-133.

(106)

Echtner, C. M., & Ritchie, J. R. B. (1991). The meaning and measurement of destination image. Journal of Tourism Studies, 14(1), 2-12.

Echtner, C. M., & Ritchie, J. R. B. (1993). The measurement of destination image: An empirical assessment. Journal of Travel Research, 31(3), 3-13.

Fielding, K., Pearce, P. L., & Hughes, K. (1992). Climbing ayers rock: Relating visitor motivation, time perception and enjoyment. Journal of Tourism Studies, 3(2), 40-52.

Fornell, C. (1992). A national customer satisfaction barometer: the Swedish experience.

Journal of Marketing, 56(1), 6-21.

Fuchs, G., & Reichel., A. (2011). An exploratory inquiry into destination risk

perceptions and risk reduction strategies of first time vs. repeat visitors to a highly volatile destination. Tourism Management, 32(2), 266-276.

Gallarza, M. G., & Saura, I. G. (2006). Value dimensions, perceived value, satisfaction and loyalty: An investigation of university students’ travel. Tourism Management, 27(3), 437-452

Gartner, W. C. (1993). Image Formation Process. Journal of Travel and Tourism Marketing, 2(2/3), 191-215.

Gorsuch, R. L. (1983). Factor Analysis (2nd ed.). Hillsdale, NJ: Erlbaum.

Hair, J. F., Black, B., Babin, B., Anderson, R. E., & Tatham, R. L. (1992). Multivariate Data Analysis (6th ed.). New York: Macmillan.

Hampel, D. J. (1977). Consumer Satisfaction with The Home Buying Process:

Conceptualization and Dissatisfaction. Cambridge, MA: Marketing Science Institute.

Han, J. Y. (2005). The relationships of perceived risk to personal factors, knowledge of destination, and travel purchase decision in international leisure travel. Virginia Polytechnic Institute and State University, Virginia.

Hsu, J. L., Wang, C. T., & Huang, Y. H. (2014). Motivations for first-time and repeat backpackers in Shanghai. Tourism Management Perspectives, 12, 57-61.

Jacoby, J., & Kaplan, L. B. (1972). The components of perceived risk. In M.

Venkatesan (Ed). Proceedings of the 3rd Annual Conference of the Association for Consumer Research. College Park, MD: Association for Consumer Research, 382-393.

Kaiser, H. F. ( 1974). An Index of Factorial Simplicity. Psychometrika, 39, 31-36.

(107)

Kawashima, K. 2010. Japanese working holiday makers in Australia and their

relationship to the Japanese labour market: Before and after. Asian Studies Review, 34(3), 267-286.

Kim, S.H., Holland, S., & Han, H. S. (2012). A structural model for examining how destination image, perceived value, and service quality affect destination loyalty:

A case study of Orlando. International Journal of Tourism Research, 15(4), 313-328.

Kotler, P., Bowen, J., & Makens, J. (2003). Marketing for Hospitality and Tourism. NJ:

Person Education.

Lee, C., Lee, Y., & Lee, B. (2005). Korea’s destination image formed by the 2002 world cup. Annals of Tourism Research, 32(4), 839-858.

Lepp, A., & Gibson, H. (2003). Tourist roles, perceived risk and international tourism.

Annals of Tourism Research, 30(3), 606-624.

Lin, Y. H., Lee, Y. C., & Wang, S. C. (2012). Analysis of motivation, travel risk, and travel satisfaction of Taiwan undergraduates on work and travel overseas

programmes: Developing measurement scales. Tourism Management Perpectives, 2-3, 35-46.

Mahasuweerachai, P., & Qu, H. (2011). The impact of destination image on value, satisfaction, and loyalty: Moderating effects of tourist characteristics and

involvement. In 16th Annual graduate education and graduate student research conference in hospitality and tourism. TX, USA: Houston.

Mclntosh, R., & Gupta. S. (1980). Tourism: Principles, Practices, Philosophies, 3rd.

Columbus, OH: Grid, Inc.

Miller, J. A. (1979). The Conceptualization of Consumer Satisfaction and Dissatisfaction. Cambridge, MA: Marketing Science Institute.

Mohammad, B. A., & Mat Som, A. P. (2010). An analysis of push and pull travel motivations of foreign tourists to Jordan. International Journal of Business Management, 5(12), 41-50.

Monroe, K. (1990). Pricing: Making Profitable Decisions (2nd ed.). NY: McGraw-Hill.

Moutinho, L. (2000). Consumer behavior. In Moutinho L. (Ed.), Strategic Management in Tourism. New York: CABI Publishing.

Oh, H. (1999). Service quality, customer satisfaction, and customer value: A holistic perspective. International Journal of Hospitality Management, 18(1), 67-82.

Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460-469.

(108)

Paris, C. M., & Teye, V. (2010). Backpacker motivations: A travel career approach.

Journal of Hospitality Marketing and Management, 19(3), 244-259.

Pearce, P. L. (1988). The Ulysses Factor: Evaluating Visitors in Tourist Settings. New York: Springer-Verlag.

Pearce, P. L., & Lee, U. (2005). Developing the travel career approach to tourist motivation. Journal of Travel Research, 43(3), 226-237.

Petrick, J. F., & Backman, S. J. (2002). An examination of the construct of perceived value for the prediction of golf travelers’ intentions to repurchase. Journal of Travel Research, 41(1), 38-45.

Pike, S. (2002). Destination image analysis: A review of 142 papers from 1973-2000.

Tourism Management, 23(5), 541-549.

Roehl, W. S., & Fesenmaier, D. R. (1992). Risk perceptions and pleasure travel: An exploratory analysis. Journal of Travel Research, 30(4), 17-26.

Roselius, T. (1971). Consumer ranking of risk reduction methods. Journal of Marketing, 35(1), 56-61.

Russel, J. A., & Pratt, G. (1980). A description of affective quality attributed to environment. Journal of Personality and Social Psychology, 38(2), 311-322.

Russel, J. A., and Snodgrass, J. (1987). Emotion and environment. In Stokols, D., &

Altman, I., (Ed.), Handbook of Environmental Psychology. New York: Wiley, 265-280.

Sa´nchez, J., Callarisa, L., Rodr ´guez, R. M., & Moliner, M. A. (2006). Perceived value of the purchase of a tourism product. Tourism Management, 27(3), 394-409.

Schiffman, L.G., & Kanuk, L. L. (2000). Consumer Behavior (9th ed.). New Jersey:

Prentice Hall.

Sonmez, S. F., & Graefe, A. R. (1998). Influence of terrorism risk on foreign tourism decision. Annals of Tourism Research, 25(1), 112-144.

Stern, E., & Krakover, S. (1993). The formation of a composite urban image.

Geographical Analysis, 25(2), 130-146.

Stone, R. N., & Gronhaug, K. (1993). Perceived risk: Further considerations for the marketing discipline. European Journal of Marketing, 27(3), 39-50.

Sun, X., Chi, C. G. Q., & Xu, H. (2013). Developing destination loyalty: The case of Hainan Island. Annals of Tourism Research, 43, 547-577.

Sweeney, J. C., Soutar, G. N., & Johnson, L. W. (1999). The role of perceived risk in the quality-value relationship: A study in a retail environment. Journal of Retailing, 75(1), 77-105.

(109)

Um, S. (1993). Pleasure travel destination choice. In Khan, M., Olsen, M., & Var, T.

(Ed.), VNR's Encyclopedia of Hospitality and Tourism. New York: Van Nostrand-Reinhold, 811-821.

Um, S., & Crompton, J. L. (1990). Attitude determinants in tourism destination choice.

Annals of Tourism Research, 17(3), 432-448.

Uriely, N. (2001). ‘Travelling workers’ and ‘Working tourists’: Variations across the interaction between work and tourism. International Journal of Tourism Research, 3(1), 1-8.

Uriely, N., & Reichel, A. (2000). Working tourists and their attitudes to hosts. Annals of Tourism Research, 27(2), 267-283.

Vogt, C. A., & Fesenmaier, D. R. (1998). Expanding the functional information search model. Annals of Tourism Research, 25(3), 551-578.

Wood, C. M., & Scheer, L. K. (1996). Incorporating perceived risk into models of consumer deal assessment and purchase intent. Advances in Consumer Research, 23, 399-404.

Woodside, A. G., Frey, L. L., and Daly, R. T. (1989). Linking service quality, customer satisfaction, and behavioral intention. Journal of Health Care Marketing, 9(4), 5-17.

Yoon, Y., & Uysal, M. (2005). An examination of the effects of motivation and satisfaction on destination loyalty: A structural model. Tourism Management, 26(1), 45-56.

Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence. Journal of Marketing, 52, 2-22.

(110)

1.

2.

3.

4. _________

5. ________

6.

7.

8.

0-20% 20-40% 40-60% 60-80% 80-100%

10-15

200 100

(111)

9.

0-20% 20-40% 40-60% 60-80% 80-100%

10.

_________

11.

1.

1-5

2. 1 2 3 4 5

3. 1 2 3 4 5

4. 1 2 3 4 5

5. 1 2 3 4 5

6. 1 2 3 4 5

(112)

1-5

1. 1 2 3 4 5

2. 1 2 3 4 5

3. 1 2 3 4 5

4. 1 2 3 4 5

5. 1 2 3 4 5

6. 1 2 3 4 5

7. 1 2 3 4 5

8. 1 2 3 4 5

9. 1 2 3 4 5

10. / 1 2 3 4 5

11. 1 2 3 4 5

12. 1 2 3 4 5

13. 1 2 3 4 5

14. 1 2 3 4 5

15. 1 2 3 4 5

16. 1 2 3 4 5

17. 1 2 3 4 5

18. 1 2 3 4 5

19. 1 2 3 4 5

20. 1 2 3 4 5

21. 1 2 3 4 5

22. / 1 2 3 4 5

23. 1 2 3 4 5

24. 1 2 3 4 5

25. 1 2 3 4 5

26. / 1 2 3 4 5

27. 1 2 3 4 5

(113)

1-5

1. 1 2 3 4 5

2. 1 2 3 4 5

3. 1 2 3 4 5

4. 1 2 3 4 5

5. 1 2 3 4 5

6. 1 2 3 4 5

7. 1 2 3 4 5

8. 1 2 3 4 5

9. 1 2 3 4 5

10. 1 2 3 4 5

11. 1 2 3 4 5

12. 1 2 3 4 5

13. 1 2 3 4 5

14. 1 2 3 4 5

15. 1 2 3 4 5

16. 1 2 3 4 5

17. 1 2 3 4 5

18. 1 2 3 4 5

19. 1 2 3 4 5

20. 1 2 3 4 5

21. 1 2 3 4 5

22. 1 2 3 4 5

23. 1 2 3 4 5

24. 1 2 3 4 5

(114)

1-5

1. 1 2 3 4 5

2. 1 2 3 4 5

3. 1 2 3 4 5

4. 1 2 3 4 5

5. 1 2 3 4 5

6. 1 2 3 4 5

7. 1 2 3 4 5

8. 1 2 3 4 5

9. 1 2 3 4 5

10. 1 2 3 4 5

11. 1 2 3 4 5

12. 1 2 3 4 5

13. 1 2 3 4 5

14. 1 2 3 4 5

15. 1 2 3 4 5

16. 1 2 3 4 5

17. 1 2 3 4 5

18. 1 2 3 4 5

19. 1 2 3 4 5

20. 1 2 3 4 5

21. 1 2 3 4 5

1-5

(115)

1 2 3 4 5 1. 1 2 3 4 5

1 2 3 4 5 2.

1 2 3 4 5

1 2 3 4 5 3. 1 2 3 4 5

1 2 3 4 5 4.

1 2 3 4 5

1 2 3 4 5 5. 1 2 3 4 5

1 2 3 4 5 6.

1 2 3 4 5

1 2 3 4 5 7. 1 2 3 4 5

1 2 3 4 5 8. 1 2 3 4 5

1 2 3 4 5 9. 1 2 3 4 5

1 2 3 4 5 10. 1 2 3 4 5

1 2 3 4 5 11. 1 2 3 4 5

1 2 3 4 5 12. 1 2 3 4 5

1 2 3 4 5 13.

1 2 3 4 5

1 2 3 4 5 14. 1 2 3 4 5

1 2 3 4 5 15.

1 2 3 4 5

1 2 3 4 5 16.

1 2 3 4 5

1 2 3 4 5 17. 1 2 3 4 5

1 2 3 4 5 18. 1 2 3 4 5

1 2 3 4 5 19. 1 2 3 4 5

1 2 3 4 5 20.

1 2 3 4 5

1 2 3 4 5 21. 1 2 3 4 5

(116)

1-5

1. 1 2 3 4 5

2. 1 2 3 4 5

3. 1 2 3 4 5

4. 1 2 3 4 5

1.

2.

19-24 25-29 30-34 35-39 40 3.

4.

5.

20,000 20,001-40,000 40,001-60,000 60,001-80,000 80,000

6.

1. ___________

2. E-mail _______________________________

3. __________________________________________________________

參考文獻

相關文件

When using this image in external sources it can be cited as:Blausen.com staff. Wikiversity Journal

• Paul Debevec, Rendering Synthetic Objects into Real Scenes:. Bridging Traditional and Image-based Graphics with Global Illumination and High Dynamic

12 Disney California Adventure at Disneyland, Anaheim, California 9.9 13 Disneyland Park at Disneyland Paris, Marne-la-Vallée, France 9.8 14 Universal's Islands of Adventure

Attractions, no matter physical or cultural, are the main pull factor of tourist flow. Without these attractions, there would be no need for other tourist

# Elderly dependency ratio refers to the number of persons aged 65 or over per 1 000 persons aged between 15 and 648. Sources: cadenza.hk Image

– Camera view plane is parallel to back of volume – Camera up is normal to volume bottom. – Volume bottom

– Any set of parallel lines on the plane define a vanishing point. – The union of all of these vanishing points is the

根據研究背景與動機的說明,本研究主要是探討 Facebook