■文獻1. The Hidden Costs of Cheap Group Tours – A Case Study of Business Practices in Australia
廉價旅遊的隱藏成本-澳洲旅遊之商業活動範例研究
■文獻2. Tourist characteristics that influence
shopping participation and expenditures
旅遊規格特性影響購物參與及其消費力
Uncover Insightful User Journey Secrets Using GA4 Reports
Tourist Shopping Behavior Factors
1.
2. ■文獻1. The Hidden Costs of Cheap Group
Tours – A Case Study of Business Practices in
Australia
廉價旅遊的隱藏成本-澳洲旅遊之商業活動範例研究
■文獻2. Tourist characteristics that influence
shopping participation and expenditures
旅遊規格特性影響購物參與及其消費力
4. This paper deals with an issue that has been identified in
many markets where there are large numbers of package
tourists. In Australia, there have been a number of studies
undertaken into the use of a range of dubious business
practices employed by Inbound Tour Operators (ITOs),
particularly in the Korean market.
The cause for this problem is identified as the minimization
of the retail price of package tour by transferring part of the
cost of the tour to ITOs in the destination country. Under this
system, ITOs are paid a daily tour rate below their real costs
and are forced to recover losses by employing a range of
dubious business practices including forced shopping and
kickbacks from shops.
The paper models the normal operation of the package tour
cycle where no business practices are used and compares this
to the Korean package inbound market in Australia where the
use of business practices of this nature is widespread.
The Hidden Costs of Cheap Group Tours – A Case Study of Business Practices in Australia
5. The Hidden Costs of Cheap Group Tours – A Case Study of Business Practices in Australia
正常金流
6. The Hidden Costs of Cheap Group Tours – A Case Study of Business Practices in Australia
廉價團
金流
7. While not addressed in this paper, the issues
involved here will undoubtedly require
government intervention including the licensing
of tour guides and penalizing guides and ITOs
who participate in these practices. While the
current situation in the Korean inbound market
can be directly related back to the retail practices
of travel agents in Korea, the willingness of ITOs
in Australia to accept below cost ground fees is
also a contributing factor. If ITOs were able to
resist pressure to accept loss making ground fees
the need for business practices would disappear.
The Hidden Costs of Cheap Group Tours – A Case Study of Business Practices in Australia
10. 本研究對樣本使用敘述性統計(Descriptive
statistics)、principal components analysis
(PCA) 主成份析法 with quartimax rotation 四方
最大轉軸法、Heckman模型評估。
樣本資料來源為2008年旅遊旺季時之著名的地中
海島嶼-西班牙Mallorca之調查。
purpose methodology Findings
Practical
implications
Originality
/Value
Tourist characteristics that influence shopping participation and expenditures
11. The information
relating to these 24
attributes was
summarized into four
variables. Following
a principal components
analysis (PCA) 主成份析
法 with quartimax
rotation 四方最大轉軸法 ,
The four components
extracted account for
49.26 per cent of the
total variance變異量 and
all the communalities 共
同性 are above 0.4.
Tourist characteristics that influence shopping participation and expenditures
13. Almost 50 per cent of the tourists included in
the sample did not participate in shopping
activities. For those tourists with non-zero
shopping expenditure, the mean value was 6
euros per person per day.
樣本中幾乎50%沒有參加購物活動,有參加購物者
平均值為每人每天6歐元,標準差為7.5。
Tourist characteristics that influence shopping participation and expenditures
15. According to these results,
German tourists with a post-
secondary school level of
education, travelling with children
and visiting the destination for the
first time, motivated by the basic
attributes of a sun and sand
holiday and/or by the destination’s
natural and cultural attributes,
are more likely to participate in
shopping activities than other
tourists.
However, when it comes to the
amount of expenditure, British
self-employed tourists on their
fourth visit or more tend to spend
more than other tourists.
Tourist characteristics that influence shopping participation and expenditures
Purpose – The purpose of this paper is to analyze tourist and trip-related characteristics and tourist
motivations in connection with the decision to participate in shopping and for those tourists who decide
to participate, the main determinants of the amount of expenditure.
Design/methodology/approach – By estimating a Heckman model this paper analyses characteristics
relating to the decision to participate in shopping and characteristics related to the amount of
corresponding expenditure. The explanatory variables included in the model are tourist motivations and
tourist and trip-related characteristics. Data used for the analysis come from a survey conducted in the
high season of 2008 in Mallorca (Spain), a leading Mediterranean sun and sand destination.
With regard to tourist motivations, the interviewee was asked to
indicate how important a total of 24 (tangible and intangible) attributes that are common
characteristics of sun and sand destinations were in motivating them to choose the
destination. Their importance was rated using a five-point Likert scale ranging from 1 (‘‘not at
all important’’) to 5 (‘‘very important’’).
The information relating to these 24 attributes was summarized into four variables. Following
a principal components analysis (PCA) with quartimax rotation, the components obtained
were included in the models as explanatory variables (see Table I). The four components
extracted account for 49.26 per cent of the total variance and all the communalities are
above 0.4.
因素分析之-直交轉軸法(orthogonal rotation)
*最大變異法(varimax)
*四方最大法(quartimax)
【※選擇因素之標準:
1. 因素之特徵值(eigenvalue)須大於1。
2. 最大變異數轉軸法(varimax)旋轉以後,取因素負荷量(factor loading)絕對值大於0.6者。
3. 兩因素負荷量差大於0.3者。
4. 共同性(communality)須大於0.5。
5. 分項對總項(item to total)相關係數大於0.5,且顯著者。
■主成分分析(PCA)的主要目的:1.將眾多的因素(變數)縮減為幾個少數且最主要的因素(變數) 。2.希望用較少的變數去解釋原來資料中大部份的變異。 3.更期望能將我們手中許多相關性很高的變數轉化成彼此互相獨立的變數。 4.能由其中選取較原來的變數個數少,且又能解釋大部份資料中的變異原因的幾個新變數。找到的這幾個新變數(主成分)也就成為我們用來解釋資料的綜合性指標。
Table IV shows the percentage of zero expenditures and the mean value for positive expenditures according to tourist and travel characteristics.
As for nationality, British tourists account for a higher percentage of zero expenditures than German tourists (6.7 percentage points more).
However, for those who participate in shopping, the average expenditure per person per day for British tourists is higher than that of German tourists (1.8 euros more).
When the gender of the interviewee is considered, a greater percentage of women participate in shopping (7.17 percentage points more), with a higher average expenditure
(1.2 euros more).
As for age, a higher percentage of younger tourists (18 to 29 years old) and those over the age of 65 fall into the zero expenditure category.
Among those that do participate, the two segments exhibiting the highest average expenditures are younger tourists (aged between 18 and 29) and older tourists (over the age of 60), with mean values of 6.7 and about 7 euros per person per day respectively.
With regard to education, tourists with a pre-primary level of education account for the highest percentage of zero expenditure (63.16 per cent), while also having a high average expenditure (7.1 euros). In contrast, tourists with a primary school education present the lowest percentage of zero Expenditure (47.06 per cent), but they spend less than other tourists on shopping (4.9 euros).
As for the tourists’ professional status, tourists without a job and housewives/husbands account for the highest percentage of non-participation (60 and 56.25 per cent respectively) and the lowest average expenditure when they participate in shopping (4.3 euros). Self-employed tourists account for the lowest percentage of non-participation (45 per cent), with a high average expenditure when they participate in shopping (7.7 euros). Students account for the highest average expenditure (7.8 euros) when they participate in shopping.
As for repeat visitation, in general it seems first-timers have a higher propensity to participate in shopping activities (45.43 per cent of zeros) than repeat visitors. However, the segment tending to spend more when they participate in shopping is tourists who have visited the destination three times or more.
With regard to the type of accommodation, tourists staying at apartment hotels show the lowest percentage of zero expenditure (46.75 per cent). Nonetheless, among those tourists that do participate, tourists staying at hotels have the highest mean expenditure (6.3 euros).
When the services that are booked are considered, differences in shopping participation and shopping expenditure were also observed. Tourists who booked a flight and bed and breakfast account for the highest percentage of non-participation (57.14 per cent) and the lowest average expenditure (4.2 euros). Tourists who booked a flight and accommodation with half or full board tended to participate in shopping more than other tourists, and tourists who travelled on a non-package holiday or just booked a flight and a room have the highest average expenditure when they engage in shopping activities (6.4 and 6.9 euros respectively).
Finally, as for the presence of children in the travel party, there is a positive relationship to participation in shopping (7 percentage points more) but negatively related to average expenditure (2.3 euros less).
The results in Table IV are valid as a description of the data and they highlight the existence of differences in shopping behaviour according to tourist and trip-related characteristics
and tourist motivations. However, possible interrelations among the different characteristics do not allow reaching definitive conclusions from this descriptive analysis. The specification and estimation of an econometric model will facilitate the identification of possible significant relations between tourist and trip-related characteristics and tourist motivations and the decision whether or not to participate in shopping and corresponding shopping expenditures.
According to these results,
German tourists with a post-secondary school level of education, travelling with children and visiting the destination for the first time,
motivated by the basic attributes of a sun and sand holiday and/or by the destination’s natural and cultural attributes,
are more likely to participate in shopping activities than other tourists.
However, when it comes to the amount of expenditure, British self-employed tourists on their fourth visit or more tend to spend more than other tourists.
Findings – The results indicate different motivations and tourist and trip-related characteristics are
associated with the decision whether or not to participate in shopping and with the level of shopping
expenditure. This facilitates the identification of the type of tourist, which may be of more interest to the
destination in terms of shopping behaviour
Practical implications – The results are useful in identifying tourist profiles with a different propensity to
participate in shopping and with different levels of expenditure. This information may be useful for
destination managers interested in promoting shopping activities. Encouraging shopping behaviour
may be a way of increasing tourist expenditure at destinations and of providing direct benefits for the
local economy.
Originality/values – Tourism literature has given only very limited attention to research on
characteristics related to shopping behaviour. This study deals with this subject and it provides
information that can help promote shopping activities by tourists. The main contribution of this paper
consists of the joint analysis of shopping participation and expenditure amount as a result of trip-related
characteristics and travel motivations.