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National Cheng Kung University International Master of Business Administration (IMBA) Program
3.1. The Conceptual Model
Construct Measurement
In this study, 5 sections are operationalized: (1) Destination Quality, (2) Overall Trip Experience, (3) Positive
Recommendation, (4) Word of Mouth, and (5) Intention to Revisit. A survey questionnaire was designed for this study. The
operational definitions of each section are described as follows:
3.1.1. Destination Quality
Destination Quality is measured by satisfaction with lodging, dining, shopping, and attraction. Firstly, for measuring
satisfaction with lodging, dining, shopping and attraction, the questionnaire developed by Alampay (2003) is used.
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The survey consists of eight items for lodging satisfaction, 5 items for dining satisfaction, 2 items for shopping
satisfaction and six items for attraction satisfaction. Each item will be measured using a seven-point rating scales,
with 1 representing "very dissatisfied" to 7 representing "very satisfied”.
Lodging Satisfaction
1. Hotel Rooms
2. Hotel View
3. Hotel cleanliness
4. Hotel food
5. Hotel staff friendliness
6. Hotel service
7. Hotel value for money
Dining Satisfaction
1. Dining cleanliness
2. Dining food quality
3. Dining staff friendliness
4. Dining service
5. Dining value for money
Shopping Satisfaction
1. Shopping cleanliness
2. Shopping prices
3. Shopping quality
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4. Shopping staff friendliness
5. Customer service
6. I could buy nice souvenirs
Satisfaction with Attraction
1. Historical sites
2. Museums
3. Parks and Garden’s
4. Dinner cruises and shows
5. Cleanliness
6. People’s friendliness
7. Exploring culture
3.1.2. Satisfaction with the Overall Trip Experience
Thirdly, overall travel satisfactions were measured by using the questionnaire developed by Neal, Sirgy and Uysal
(1999). It includes 6 items Each item will be measured using a seven-point rating scales, with 1 representing
"Strongly disagree” no opinion to 7 “Strongly agree”.
Enrich Experience
1. Overall, I feel that this trip has enriched my life and I am really glad I went on this trip.
2. On this trip, I accomplished the purpose of the vacation and this experience has enriched me in some ways.
3. This trip was rewarding to me in many ways, I feel much better about things and myself after the trip.
Right Experience
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4. My choice to purchase this trip was a wise one.
5. I did the right thing when I purchased this trip.
6. This experience is exactly what I needed.
3.1.3. Positive Recommendation
1. I will recommend to someone who seeks my advice.
2. I will say positive things to other people.
3.1.4. Word of Mouth
1. I will recommend my colleague’s
2. I will recommend this trip to friends and family
3.1.5. Intention to Revisit
This section is to understand the intention to revisit Beijing or Shanghai in the future. The following questions are:
1. I will revisit next time
2. In the next 5 years, it is likely that I will take another holiday to _______?
3. Within the next 5 years it is likely that I will be interested in revisiting.
3.1.6. Personal Information
The following personal information is included in the survey instrument to better understand the respondents’
profile.
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1. Gender of the respondent
2. Marriage status of the respondent
3. Age of the respondent
4. Education of the respondent
5. Income monthly of the respondent
6. Occupation of the respondent
PAGE 5
RESULT
Construct 1
Research Constructs
Research ItemsFactor
LoadingEigen-value
Cumulative
Explained (%)
Item-to-total
correlation
Cronbach’s Alpha (α)
Satisfaction with Lodging,
dining, shopping, and
attraction
Lodging Satisfaction 3.886 64.773 0.8906 Hotel Service 0.887 0.8135 Hotel Staff Friendliness 0.851 0.7574 Hotel Food 0.836 0.7471 Hotel Rooms 0.794 0.7057 Hotel Value for Money 0.727 0.6143 Hotel Cleanliness 0.719 0.6122 Hotel View Deleted
Dining Satisfaction 3.675 73.501 0.9094 Dining Service 0.903 0.8373 Dining Staff Friendliness 0.899 0.8292 Dining Food Quality 0.886 0.8135 Dining Value for Monet 0.800 0.6951 Dining Cleanliness 0.792 0.681
Shopping Satisfaction 3.407 68.139 0.8814 Shopping Staff Friendliness 0.885 0.7985 Customer Service 0.872 0.7776 I could buy Nice Souvenirs 0.807 0.6912 Shopping Prices 0.803 0.6913 Shopping Quality 0.753 0.6291 Shopping Cleanliness Deleted
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Satisfaction with Attraction 2.484 62.104 0.7963 Parks and Garden's 0.854 0.6992 Museums 0.821 0.6514 Dinner Cruises and Shows 0.752 0.5611 Historical Sites 0.718 0.5267 Exploring Culture Deleted5 Cleanliness Deleted6 People's Friendliness Deleted
Construct 2
Research Research Items Factor Eigen- Cumulativ Item-to- Cronbach’s
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Constructs Loading valuee
Explained (%)
total correlation
Alpha (α)
Satisfaction with Overall
Trip Experience
Enrich Experience 2.278 75.943 0.8422 On this trip, I
accomplished the purpose of the vacation and this experience has enriched me in some ways.
0.894 0.746
3This trip was rewarding to me in many ways, I feel much better about things and myself after the trip.
0.894 0.746
1 Overall, I feel that this trip has enriched my life and I am really glad I went on this trip.
0.824 0.632
Right Experience 2.401 80.043 0.8752 I did the right thing when I
purchased this trip0.915 0.798
1 My choice to purchase this trip was a wise one.
0.900 0.772
3 This experience is exactly what I needed.
0.868 0.715
Construct 3
Research Research Items Factor Eigen- Cumulativ Item-to- Cronbach’s
PAGE 8
Constructs Loading valuee
Explained (%)
total correlation
Alpha (α)
Positive Reccomendatio
n
Positive Reccomendation 1.809 90.459 0.8952 I will say positive things to
other people0.951 0.809
1 I will recommend to someone who seeks my advice.
0.951 0.809
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Construct 4
Research Constructs
Research ItemsFactor
LoadingEigen-value
Cumulative
Explained (%)
Item-to-total
correlation
Cronbach’s Alpha (α)
Word of Mouth
Word of Mouth 1.897 94.855 0.9462 I will recommend this trip
to friends and family0.974 0.897
1 I will recommend my colleague’s
0.974 0.897
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Construct 5
Research Constructs
Research ItemsFactor
LoadingEigen-value
Cumulative
Explained (%)
Item-to-total
correlation
Cronbach’s Alpha (α)
Intention to Revisit
Intention to Revisit 2.369 78.967 0.8673 Within the next 5 years it
is likely that I will be interested in revisiting.
0.918 0.802
2 In the next 5 years, it is likely that I will take another holiday to _______?
0.882 0.736
1 I will revisit next time 0.865 0.705
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ANALYSIS
The process of analyzing the data starts from checking for the missing data and the result is there are no missing data or error value.
There are five research constructs that were analyzed using factor analysis.
I. CONSTRUCT 1 : SATISFACTION WITH LODGING, DININING, SHOPPING, AND ATTRACTION
The research construct was divided into four factors and each of the factor is extracted into 1 factor
A. Lodging Satisfaction
In Lodging Satisfaction’s factors there are seven items to be analyzed. In the result table, the factor loading of all items are
greater than 0.6. For the item Lodging Satisfaction 2 (LS 2) was deleted first because the communality number for this
factor was 0.382 which is far from 0.5. After the second run, the other six items of Lodging Satisfaction was matched with
the rule of thumb. It means that the other six items of Lodging Satisfaction are valid to measure Lodging Satisfaction
Factor. All items are kept. Moreover, the hotel service (LS 6) is an item that affects Lodging Satisfaction the most because
its loading factor has the greatest number among the other items (0.887). This conclusion can be inferred by checking item-
to-total correlation of LS 6 correlates more to the overall perception of Lodging Satisfaction than the other items. I can
conclude that LS 6, LS 5, LS 4, LS 7, LS 1, LS 3’s factor loading are greater than 0.6, eigen-value greater than 1, and the
cumulative explained are more than 60%. It shows that these items are valid to represent Lodging Satisfaction factor.
For the reliability test, SPSS program was used to conduct the test. All 6 items are processed and resulting the Cronbach
Alpha’s valued was 0.890 and all of the item-to-total correlation value was greater than 0.5. I can conclude, these 6 items
are reliable to measure Lodging Satisfaction factor because it is matched with the rule of thumb for the reliability test.
B. Dining Satisfaction
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In Dining Satisfaction’s factors there are 5 items to be analyzed. In the result table, there are no items deleted since the
factor loading’s number of all items is greater than 0.6. It means that every item is valid to measure Dining Satisfaction
factor. All of the items are kept. In advance, the dining service (DS 4) is an item that affects Dining Satisfaction the most
because its loading factor has the greatest number among the other items (0.903). This conclusion can be inferred by
checking item-to-total correlation of DS 4 correlates more to the overall perception of Dining Satisfaction than the other
items. I can conclude that DS 4, DS 3, DS 2, DS 5, DS 1’s factor loading are greater than 0.6, eigen-value greater than 1,
and the cumulative explained are more than 60%. It shows that these items are valid to represent Dining Satisfaction factor.
For the reliability test, SPSS program was used to conduct the test. All 5 items are processed and resulting the Cronbach
Alpha’s valued was 0.909 and all of the item-to-total correlation value was greater than 0.5. I can conclude, these 5 items
are reliable to measure Dining Satisfaction factor because it is matched with the rule of thumb for the reliability test.
C. Shopping Satisfaction
In Shopping Satisfaction, there are 6 items to be analyzed. In the first run, I need to eliminate Shopping Satisfaction (SHS
1) since the communality was 0.410 which was below the rule of thumb. After eliminate Shopping Satisfaction (SHS 1),
the remaining items matched with the rule of thumb. It states that every item is valid to measure Shopping Satisfaction
factor. The remaining items are kept. In Shopping Satisfaction factor, the item that affects Shopping Satisfaction factor the
most was the shopping staff’s friendliness or SHS 4 since its loading factor has the greatest number among the rest of the
items (0.885). This conclusion can be inferred by checking item-to-total correlation of SHS 4 correlates more to overall
perception of Shopping Satisfaction than the other items. I can conclude that SHS 4, SHS 5, SHS 6, SHS 2, and SHS 3’s
factor loading are greater than 0.6, eigen-value greater than 1, and the cumulative explained are more than 60%. It shows
that these items are valid to represent Shopping Satisfaction factor.
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For the reliability test, SPSS program was used to conduct the test. All 5 items are processed and resulting the Cronbach
Alpha’s valued was 0.881 and all of the item-to-total correlation value was greater than 0.5. I can conclude, these 6 items
are reliable to measure Shopping Satisfaction factor because it is matched with the rule of thumb for the reliability test.
D. Satisfaction with Attraction
In Satisfaction with Attraction factor, there are 7 items to be analyzed. When run the data for the first time, Shopping with
Attraction 1’s (SWA 1) factor loading was 0.320 showing lower than 0.5 and the communality was the lowest among the
other items that was 0.102. After I deleted SWA 1, the result showed that Shopping with Attraction 5 (SWA 5)’s
communality was 0.293 lower than 0.5 so I need to eliminate SWA 5. After I eliminated SWA 5, I have to delete once again
SWA 1 because the communality for this item was 0.490. In the fourth run, the result was satisfying me since the four
remaining items are matched with the rule of thumb. It means that every item is valid to measure Satisfaction with
Attraction factor. The four remaining items are kept. Moreover, the Parks and Garden (SWA 3) was the item that affects
perception about Satisfaction with Attraction the most because its factor loading is the greatest (0.854) compared to other
items. This conclusion can be inferred by checking item-to-total correlation of SWA 3 correlates more to overall perception
of Satisfaction with Attraction than the other item. I can conclude that SWA 3, SWA 2, SWA 1, and SWA 4’s factor
loading are greater than 0.6, eigen-value greater than 1, and the cumulative explained are more than 60%. It shows that
these items are valid to represent Shopping Satisfaction factor.
For the reliability test, SPSS program was used to conduct the test. All 5 items are processed and resulting the Cronbach
Alpha’s valued was 0.796 and all of the item-to-total correlation value was greater than 0.5. I can conclude, these 6 items
are reliable to measure Dining Satisfaction factor because it is matched with the rule of thumb for the reliability test.
II. CONSTRUCT 2 : SATISFACTION WITH OVERALL TRIP EXPERIENCE
In the second construct there are 2 main factor and each of them is extracted to one factor
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A. Enrich Experience
There are 3 items in Enrich Experience. There are no items deleted since the factor loading’s number of all items is greater
than 0.6. It means that every item is valid to measure Enrich Experience factor. All of the items are kept. In advance, the
Enrich Experience 2 (ES 2) and Enrich Experience 3 (ES 3) are item that affects Enrich Experience the most because its
loading factor has the greatest number among the other items (both of them have the same value 0.746). This conclusion
can be inferred by checking item-to-total correlation of ES 2 and ES 3 correlates more to the overall perception of Enrich
Experience than the other items. I can conclude that ES 2, ES 3, and ES 1’s factor loading are greater than 0.6, eigen-value
greater than 1, and the cumulative explained are more than 60%. It shows that these items are valid to represent Enrich
Experience factor.
For the reliability test, SPSS program was used to conduct the test. All 3 items are processed and resulting the Cronbach
Alpha’s valued was 0.842 and all of the item-to-total correlation value was greater than 0.5. I can conclude, these 5 items
are reliable to measure Enrich Experience factor because it is matched with the rule of thumb for the reliability test.
B. Right Experience
There are also 3 items in Right Experience. In this factor there are no items eliminated since the factor loading’s number of
all items is greater than 0.6. It means that every item is valid to measure Right Experience factor. All of the items are kept.
In advance, the Right Experience 2 (RTS 2) is an item that affects Right Experience the most because its loading factor has
the greatest number among the other items (0.798). This conclusion can be inferred by checking item-to-total correlation of
RTS 2 correlates more to the overall perception of Right Experience than the other items. I can conclude that RTS 2, RTS 1,
and RTS 3’s factor loading are greater than 0.6, eigen-value greater than 1, and the cumulative explained are more than
60%. It shows that these items are valid to represent Right Experience factor.
PAGE 15
For the reliability test, SPSS program was used to conduct the test. All 3 items are processed and resulting the Cronbach
Alpha’s valued was 0.875 and all of the item-to-total correlation value was greater than 0.5. I can conclude, these 3 items
are reliable to measure Right Experience factor because it is matched with the rule of thumb for the reliability test.
III.CONSTRUCT 3 : POSITIVE RECOMMENDATION
There are two items in the construct 3. No items in construct 3 were deleted. After running the factor analysis process, it can
be seen that the factor loading for all the items are greater than 0.6. This means that every item is valid to measure the
Positive Recommendation construct. Then, all items are kept. In Positive Recommendation construct, both item have the
same value for the loading factor that are 0.951. Both item have the same correlation with perception of Positive
Recommendation. It can be seen by the number of item-to-total correlation. Each item factor loading is greater than 0.6,
eigen-value greater than 1, and the cumulative explained are more than 60%. It shows that these items are valid to represent
Positive Recommendation construct.
For the reliability test, SPSS program was used to conduct the test. All 2 items are processed and resulting the Cronbach
Alpha’s valued was 0.895 and all of the item-to-total correlation value was greater than 0.5. I can conclude, these 2 items
are reliable to measure Positive Recommendation construct because it is matched with the rule of thumb for the reliability
test.
IV. CONSTRUCT 4 : WORD OF MOUTH
There are two items in the construct 4. No items in construct 4 were deleted. After running the factor analysis process, it can
be seen that the factor loading for all the items are greater than 0.6. This means that every item is valid to measure the Word
of Mouth construct. Then, all items are kept. In Word of Mouth construct, both item have the same value for the loading
factor that are 0.974. Both item have the same correlation with perception of Word of Mouth. It can be seen by the number
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of item-to-total correlation. Each item factor loading is greater than 0.6, eigen-value greater than 1, and the cumulative
explained are more than 60%. It shows that these items are valid to represent Word of Mouth construct.
For the reliability test, SPSS program was used to conduct the test. All 2 items are processed and resulting the Cronbach
Alpha’s valued was 0.946 and all of the item-to-total correlation value was greater than 0.5. I can conclude, these 2 items
are reliable to measure Word of Mouth construct because it is matched with the rule of thumb for the reliability test.
V. CONSTRUCT 5 :INTENTION TO REVISIT
There are three items in the construct 5. No items in construct 5 were deleted. After running the factor analysis process, it
can be seen that the factor loading for all the items are greater than 0.6. This means that every item is valid to measure the
Intention to Revisit construct. Then, all items are kept. In Intention to Revisit construct, Intention to Revisit (IRV 3) is an
item that affects Intention to Revisit the most because its loading factor has the greatest number among the other items
(0.918). This conclusion can be inferred by checking item-to-total correlation of IRV 3 correlates more to the overall
perception of Intention to Revisit than the other items. I can conclude that IRV 3, IRV 2, IRV 1’s factor loading are greater
than 0.6, eigen-value greater than 1, and the cumulative explained are more than 60%. It shows that these items are valid to
represent Intention to Revisit construct.
For the reliability test, SPSS program was used to conduct the test. All 3 items are processed and resulting the Cronbach
Alpha’s valued was 0.867 and all of the item-to-total correlation value was greater than 0.5. I can conclude, these 3 items
are reliable to measure Intention to Revisit construct because it is matched with the rule of thumb for the reliability test.
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