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ENTER 2015 Research Track Slide Number 1
Travellers' intended future trip
arrangement strategies for things to
do during a trip: Implications for
travel distribution
Niklas Eriksson
Arcada University of Applied Sciences, Finland
niklas.eriksson@arcada.fi
http://www.arcada.fi
ENTER 2015 Research Track Slide Number 2
Introduction
• Travel distribution is in constant change and has emerged into a
complex structure (Kracht & Wang, 2010; Rensmann & Klein, 2011).
• The emergence of a hybrid era of three screens – computer, tablet
and smartphone – is further driving the change. (Thakran & Verma,
2013)
• Many travellers are nowadays connected to the Internet in all stages
of the traveller life cycle (e.g. Hjalager & Jensen, 2012).
• The activity and attraction sector of the travel and tourism market
sets a high focus on at destination distribution (Schott, 2007).
• Intelligent and context-aware mobile services aimed at the traveler
on the go may change the distribution of attraction and activity
services.
– Very little seems to be written about how the distribution may change
ENTER 2015 Research Track Slide Number 3
Objective
• The aim of this study is to investigate
travelers’ intended future trip arrangement
strategies for things to do during a trip
• To discuss the implication this may have for
travel distribution
– The focus is on the mobile ICT channel
ENTER 2015 Research Track Slide Number 4
The mobile ICT channel
• Increase in mobile use
– In the third quarter of 2013 the number of mobile subscriptions
increased to 6,6 billion globally and the number is expected to
grow to 9,3 billion by 2019 (Ericsson, 2013).
– In Finland the use of smart phones doubled between 2010 and
2011 and in 2013 61% of the population (16 – 89 years) had a
smart phone (Statistics Finland, 2014).
• Increase in mobile use in travel and tourism
– Both travellers and travel managers expect mobile bookings to
reach 25 percent of online transactions by 2017. (CWT Travel
Management Institute, 2014)
– The smart phone is influencing peoples’ everyday life and the
travel experience (Wang et al., 2014).
– Traveler use of mobile devices should not be overestimated for
travel related activities such as bookings (Douglas & Lubbe, 2014)
ENTER 2015 Research Track Slide Number 5
• In distribution of attractions a priority is often
placed on at destination distribution (Schott, 2007).
• For example direct sales on location, including
walk-ins and calls, and in-direct through local
tourist offices and travel agencies (Fodness &
Murrey, 1999).
• Pre-trip distribution is conducted through direct
web-sales and, depending on the target groups,
different types of distribution channel mixes are
executed e.g. through a wide range of middlemen
(Pearce & Tan, 2006).
Distribution of
activities and attractions
ENTER 2015 Research Track Slide Number 6
Distribution of
activities and attractions
• Online middlemen that focus heavily on a mobile
strategy or even mobile only strategies
– For example GetYourGuide and Viator are aggregating
tours and activities online.
– Different online travel agencies (OTAs) have also been fast
to move into three screen solutions
– Groupon is heavily relying on the mobile channel to provide
the best local deals for e.g. different types of travel services
Drive cybermediation
• The attraction and activity sector in travel and tourism
is less connected to global distribution systems (GDSs),
e.g. Amadeus, than the hotel and airline industry
ENTER 2015 Research Track Slide Number 7
Travelers’ trip
arrangement strategies
Strategies Look strategy Book strategy
Pre-trip - I try to do these types of
information searches before the trip
- I try to do these types of bookings
before the trip
During a trip
Off-line
- I visit the hotel reception or local
tourist offices
- I use paper brochures
- I call or visit local travel suppliers’
sales office
- I visit a local travel agent
During a trip
service
provider device
- I use Internet services with a device
provided by the hotel, Internet café
etc.
- I use Internet services with a
device provided by the hotel,
Internet café etc.
During a trip
personal laptop
or tablet device
- I use Internet services / mobile
services with my personal laptop or
tablet device
- I use Internet services / mobile
services with my personal laptop or
tablet device
During a trip
personal
smartphone
- I use Internet services / mobile
services with my personal mobile
phone / smartphone
- I use Internet services / mobile
services with my personal mobile
phone / smartphone
*I believe that I in the future primarily look for information regarding things to do during a trip e.g. attractions and activities….
** I believe that I in the future primarily book things to do during a trip (e.g. attractions and activities)….
* **
ENTER 2015 Research Track Slide Number 8
Research Questions
• RQ1: What are the respondents’ intended future look and book
strategies for things to do during a trip?
• RQ2: Are the respondents’ intended future look and book
strategies similar in character
• RQ3: Is there a difference in the respondents’ intended future
look and book strategies between frequent travellers and non-
frequent travellers?
• RQ4: Is there a difference in the respondents’ intended look
and book strategies between low- and high-skilled users of the
Internet?
In answering the four research questions -> gain some answers to
implications for future travel distribution of things to do during
a trip.
ENTER 2015 Research Track Slide Number 9
Data collection
• A large scale quantitative online survey in
Finland was conducted in order to answer the
RQ:s.
Variables Sample
N = 893
Variables Sample
N = 893
Gender
Male
Female
24,1%
75,9%
Internet proficiency
High skilled user of the Internet
Low skilled user of the Internet
75,7%
24,3%
Age
18 – 35
36 – 50
51 – 60
> 60
40,9%
41,4%
13,6%
4,1%
Travel frequency (business and/or leisure)
Frequent traveller
Non-frequent traveller
26,1%
73,9%
ENTER 2015 Research Track Slide Number 10
The intended future
look and book strategies (RQ1)
The proportions (N = 893)
ENTER 2015 Research Track Slide Number 11
The similarities between the intended
look and book strategies (RQ2)
Book strategy
Look strategy Pre-trip
During
trip
offline
During trip
service
provider
device
During trip
personal
laptop/
tablet
During trip
personal
smartphone Total
Pre-trip
340
75,7%
80
55,5%
23
28,0%
23
16,0%
7
9,5%
473
53,0%
During trip offline
43
9,6%
35
24,3%
10
12,2%
7
4,9%
0
0,0%
95
10,6%
During trip service
provider device
21
4,7%
16
11,1%
39
47,6%
8
5,6%
6
8,1%
90
10,1%
During trip personal
laptop/tablet
34
7,6%
12
8,3%
8
9,8%
95
66,0%
5
6,8%
154
17,2%
During trip personal
smartphone
11
2,4%
1
0,7%
2
2,4%
11
7,6%
56
75,7%
81
9,1%
Total
449
100,0%
144
100,0%
82
100,0%
144
100,0%
74
100,0%
893
100,0%
Symmetric Measures:
Cramer's V value 0,457, approx. sig. 0,000
Contingency Coefficient value 0,715, approx. sig. 0,000
ENTER 2015 Research Track Slide Number 12
Travel Frequency (RQ3)
FT: N = 217
non-FT: N = 676.
ENTER 2015 Research Track Slide Number 13
Internet proficiency (RQ4)
High-skilled:
N=660
Low-skilled:
N=233
ENTER 2015 Research Track Slide Number 14
Implications
• Especially many frequent travellers and/or skilled
users of the Internet intend to rely on their
personal mobile devices in during trip settings in
the future for both look and book strategies.
• Indicate that attraction and activity suppliers are
increasingly moved in the direction of online
distribution at destination.
• Note: the pre-trip look and book strategy was preferred by
a majority of the respondents. Also ‘during trip offline’
scored high proportions
– Traveler use of mobile devices should not be overestimated
ENTER 2015 Research Track Slide Number 15
Implications
• Opportunity for actors that focus on context aware and
smart mobile booking solutions for the attraction and
activity sector
– SMTEs have limited resources to invest in technology (Schegg
et al., 2013)
– Schegg et al. (2014), who looked particularly at hotel
distribution, the growth of the direct online distribution in the
future is scant as OTAs have the resources to apply new
technology and the market position to drive cybermediation.
– Ease, simplicity and reputation are key factors for visitors to
use intermediate channels in travel distribution (Pearce &
Schott, 2005).
ENTER 2015 Research Track Slide Number 16
Limitations
• Sample
• Speculative in nature as it may be hard for travellers to
predict their future intentions to make trip arrangements
– Especially when it comes to the mobile channel which has evolved
rapidly during recent years
– Longitudinal studies based on actual trip arrangements may
provide a better base for predicting future market structures
• Future studies could include information and booking
sources in order to capture differences between direct and
indirect mobile bookings
• The travel market is highly complex in nature and the impact
of ICT on the market structure is hard to estimate
(Rensmann & Klein, 2011).
ENTER 2015 Research Track Slide Number 17
Thank you!
ENTER 2015 Research Track Slide Number 18
References
CWT Travel Management Institute (2014). Tap into mobile: managed travel in the digital economy.
Retrieved October 20, 2014, from http://www.cwtinsights.com/CWT-tap-into-mobile-service.pdf
Douglas, A. & Lubbe, B. (2014). Mobile Devices as a Tourism Distribution Channel. In I. Tussyadiah and
Xiang, Z. (Eds.), Proceedings of Information and communication technologies in tourism 2014, Dublin,
Irland, pp. 855-867.
Ericsson (2013). Telebriefing: Ericsson Mobility Report - On the pulse of the networked society,
November 11, 2013. Retrieved October 20, 2014, from
http://www.ericsson.com/res/investors/docs/2013/131111-ericsson-mobility-report-telebriefing.pdf.
Fodness, D. & Murray, B. (1999). A model of tourist information search behaviour. Journal of Travel
Research 37(3): 220-230.
Hjalager, A-M. & Jensen, J.M. (2012). A typology of travellers based on their propensity to go online
before, during and after the trip. In: Fuchs, M., Ricci, F. & Cantoni, L. (Eds.), Proceedings of Information
and Communication Technologies in Tourism 2012, Helsingborg, Sweden, pp. 96-107.
Pearce, D.G. & Schott, C. (2005). Tourism Distribution Channels: The Visitors' Perspective. Journal of
Travel Research 44(1): 50-63.
Pearce, D. G. & Raewyn, T. (2006). The Distribution Mix For Tourism Attractions in Rotorua, New
Zealand. Journal of Travel Research 44(3): 250-258.
ENTER 2015 Research Track Slide Number 19
References
Rensmann, B. & Klein, S. (2011). Sarkar, Butler & Steinfield (1995) “Intermediaries and Cybermediaries”
Revisited: A Review and Identification of Future Research Directions for Intermediaries in Electronic
Markets. In: Proceedings of 24th Bled eConference, Bled, Slovenia.
Schegg, R., Stangl, B., Fux, M. & Inversini, A. (2013). Distribution channels and management in the Swiss
Hotel sector. In: L. Cantoni & Z. Xiang (Eds.), Proceedings of Information and communication
technologies in tourism 2013, Innsbruck, Austria pp. 554-565.
Schegg, R. & Scaglione, M. (2014). Substitution Effects Across Hotel Distribution Channels. In I.
Tussyadiah and Xiang, Z. (Eds.), Proceedings of Information and communication technologies in tourism
2014, Dublin, Irland, pp. 801-812.
Schott, C. (2007). Selling adventure tourism: a distribution channels perspective. International Journal of
Tourism Research 9(4): 257–274.
Statistics Finland (2013). Over one-quarter of persons aged 75 to 89 use the Internet. Retrieved January
15, 2014, from http://www.stat.fi/til/sutivi/2013/sutivi_2013_2013-11-07_tie_001_en.html
Thakran, K. & Verma, R. (2013). The Emergence of Hybrid Online Distribution Channels in Travel, Tourism
and Hospitality. Cornell Hospitality Quarterly 54(3): 240-247.
Werthner, H. & Klein, S. (1999). Information Technology and tourism: A challenging relationship. Wien –
New York: Springer-Verlag.
Wang, D., Xiang, Z. & Fesenmaier, D.R. (2014). Smartphone Use in Everyday Life and Travel, Journal of
Travel Research published online 19 May 2014.

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Travelers' Future Trip Planning Strategies

  • 1. ENTER 2015 Research Track Slide Number 1 Travellers' intended future trip arrangement strategies for things to do during a trip: Implications for travel distribution Niklas Eriksson Arcada University of Applied Sciences, Finland niklas.eriksson@arcada.fi http://www.arcada.fi
  • 2. ENTER 2015 Research Track Slide Number 2 Introduction • Travel distribution is in constant change and has emerged into a complex structure (Kracht & Wang, 2010; Rensmann & Klein, 2011). • The emergence of a hybrid era of three screens – computer, tablet and smartphone – is further driving the change. (Thakran & Verma, 2013) • Many travellers are nowadays connected to the Internet in all stages of the traveller life cycle (e.g. Hjalager & Jensen, 2012). • The activity and attraction sector of the travel and tourism market sets a high focus on at destination distribution (Schott, 2007). • Intelligent and context-aware mobile services aimed at the traveler on the go may change the distribution of attraction and activity services. – Very little seems to be written about how the distribution may change
  • 3. ENTER 2015 Research Track Slide Number 3 Objective • The aim of this study is to investigate travelers’ intended future trip arrangement strategies for things to do during a trip • To discuss the implication this may have for travel distribution – The focus is on the mobile ICT channel
  • 4. ENTER 2015 Research Track Slide Number 4 The mobile ICT channel • Increase in mobile use – In the third quarter of 2013 the number of mobile subscriptions increased to 6,6 billion globally and the number is expected to grow to 9,3 billion by 2019 (Ericsson, 2013). – In Finland the use of smart phones doubled between 2010 and 2011 and in 2013 61% of the population (16 – 89 years) had a smart phone (Statistics Finland, 2014). • Increase in mobile use in travel and tourism – Both travellers and travel managers expect mobile bookings to reach 25 percent of online transactions by 2017. (CWT Travel Management Institute, 2014) – The smart phone is influencing peoples’ everyday life and the travel experience (Wang et al., 2014). – Traveler use of mobile devices should not be overestimated for travel related activities such as bookings (Douglas & Lubbe, 2014)
  • 5. ENTER 2015 Research Track Slide Number 5 • In distribution of attractions a priority is often placed on at destination distribution (Schott, 2007). • For example direct sales on location, including walk-ins and calls, and in-direct through local tourist offices and travel agencies (Fodness & Murrey, 1999). • Pre-trip distribution is conducted through direct web-sales and, depending on the target groups, different types of distribution channel mixes are executed e.g. through a wide range of middlemen (Pearce & Tan, 2006). Distribution of activities and attractions
  • 6. ENTER 2015 Research Track Slide Number 6 Distribution of activities and attractions • Online middlemen that focus heavily on a mobile strategy or even mobile only strategies – For example GetYourGuide and Viator are aggregating tours and activities online. – Different online travel agencies (OTAs) have also been fast to move into three screen solutions – Groupon is heavily relying on the mobile channel to provide the best local deals for e.g. different types of travel services Drive cybermediation • The attraction and activity sector in travel and tourism is less connected to global distribution systems (GDSs), e.g. Amadeus, than the hotel and airline industry
  • 7. ENTER 2015 Research Track Slide Number 7 Travelers’ trip arrangement strategies Strategies Look strategy Book strategy Pre-trip - I try to do these types of information searches before the trip - I try to do these types of bookings before the trip During a trip Off-line - I visit the hotel reception or local tourist offices - I use paper brochures - I call or visit local travel suppliers’ sales office - I visit a local travel agent During a trip service provider device - I use Internet services with a device provided by the hotel, Internet café etc. - I use Internet services with a device provided by the hotel, Internet café etc. During a trip personal laptop or tablet device - I use Internet services / mobile services with my personal laptop or tablet device - I use Internet services / mobile services with my personal laptop or tablet device During a trip personal smartphone - I use Internet services / mobile services with my personal mobile phone / smartphone - I use Internet services / mobile services with my personal mobile phone / smartphone *I believe that I in the future primarily look for information regarding things to do during a trip e.g. attractions and activities…. ** I believe that I in the future primarily book things to do during a trip (e.g. attractions and activities)…. * **
  • 8. ENTER 2015 Research Track Slide Number 8 Research Questions • RQ1: What are the respondents’ intended future look and book strategies for things to do during a trip? • RQ2: Are the respondents’ intended future look and book strategies similar in character • RQ3: Is there a difference in the respondents’ intended future look and book strategies between frequent travellers and non- frequent travellers? • RQ4: Is there a difference in the respondents’ intended look and book strategies between low- and high-skilled users of the Internet? In answering the four research questions -> gain some answers to implications for future travel distribution of things to do during a trip.
  • 9. ENTER 2015 Research Track Slide Number 9 Data collection • A large scale quantitative online survey in Finland was conducted in order to answer the RQ:s. Variables Sample N = 893 Variables Sample N = 893 Gender Male Female 24,1% 75,9% Internet proficiency High skilled user of the Internet Low skilled user of the Internet 75,7% 24,3% Age 18 – 35 36 – 50 51 – 60 > 60 40,9% 41,4% 13,6% 4,1% Travel frequency (business and/or leisure) Frequent traveller Non-frequent traveller 26,1% 73,9%
  • 10. ENTER 2015 Research Track Slide Number 10 The intended future look and book strategies (RQ1) The proportions (N = 893)
  • 11. ENTER 2015 Research Track Slide Number 11 The similarities between the intended look and book strategies (RQ2) Book strategy Look strategy Pre-trip During trip offline During trip service provider device During trip personal laptop/ tablet During trip personal smartphone Total Pre-trip 340 75,7% 80 55,5% 23 28,0% 23 16,0% 7 9,5% 473 53,0% During trip offline 43 9,6% 35 24,3% 10 12,2% 7 4,9% 0 0,0% 95 10,6% During trip service provider device 21 4,7% 16 11,1% 39 47,6% 8 5,6% 6 8,1% 90 10,1% During trip personal laptop/tablet 34 7,6% 12 8,3% 8 9,8% 95 66,0% 5 6,8% 154 17,2% During trip personal smartphone 11 2,4% 1 0,7% 2 2,4% 11 7,6% 56 75,7% 81 9,1% Total 449 100,0% 144 100,0% 82 100,0% 144 100,0% 74 100,0% 893 100,0% Symmetric Measures: Cramer's V value 0,457, approx. sig. 0,000 Contingency Coefficient value 0,715, approx. sig. 0,000
  • 12. ENTER 2015 Research Track Slide Number 12 Travel Frequency (RQ3) FT: N = 217 non-FT: N = 676.
  • 13. ENTER 2015 Research Track Slide Number 13 Internet proficiency (RQ4) High-skilled: N=660 Low-skilled: N=233
  • 14. ENTER 2015 Research Track Slide Number 14 Implications • Especially many frequent travellers and/or skilled users of the Internet intend to rely on their personal mobile devices in during trip settings in the future for both look and book strategies. • Indicate that attraction and activity suppliers are increasingly moved in the direction of online distribution at destination. • Note: the pre-trip look and book strategy was preferred by a majority of the respondents. Also ‘during trip offline’ scored high proportions – Traveler use of mobile devices should not be overestimated
  • 15. ENTER 2015 Research Track Slide Number 15 Implications • Opportunity for actors that focus on context aware and smart mobile booking solutions for the attraction and activity sector – SMTEs have limited resources to invest in technology (Schegg et al., 2013) – Schegg et al. (2014), who looked particularly at hotel distribution, the growth of the direct online distribution in the future is scant as OTAs have the resources to apply new technology and the market position to drive cybermediation. – Ease, simplicity and reputation are key factors for visitors to use intermediate channels in travel distribution (Pearce & Schott, 2005).
  • 16. ENTER 2015 Research Track Slide Number 16 Limitations • Sample • Speculative in nature as it may be hard for travellers to predict their future intentions to make trip arrangements – Especially when it comes to the mobile channel which has evolved rapidly during recent years – Longitudinal studies based on actual trip arrangements may provide a better base for predicting future market structures • Future studies could include information and booking sources in order to capture differences between direct and indirect mobile bookings • The travel market is highly complex in nature and the impact of ICT on the market structure is hard to estimate (Rensmann & Klein, 2011).
  • 17. ENTER 2015 Research Track Slide Number 17 Thank you!
  • 18. ENTER 2015 Research Track Slide Number 18 References CWT Travel Management Institute (2014). Tap into mobile: managed travel in the digital economy. Retrieved October 20, 2014, from http://www.cwtinsights.com/CWT-tap-into-mobile-service.pdf Douglas, A. & Lubbe, B. (2014). Mobile Devices as a Tourism Distribution Channel. In I. Tussyadiah and Xiang, Z. (Eds.), Proceedings of Information and communication technologies in tourism 2014, Dublin, Irland, pp. 855-867. Ericsson (2013). Telebriefing: Ericsson Mobility Report - On the pulse of the networked society, November 11, 2013. Retrieved October 20, 2014, from http://www.ericsson.com/res/investors/docs/2013/131111-ericsson-mobility-report-telebriefing.pdf. Fodness, D. & Murray, B. (1999). A model of tourist information search behaviour. Journal of Travel Research 37(3): 220-230. Hjalager, A-M. & Jensen, J.M. (2012). A typology of travellers based on their propensity to go online before, during and after the trip. In: Fuchs, M., Ricci, F. & Cantoni, L. (Eds.), Proceedings of Information and Communication Technologies in Tourism 2012, Helsingborg, Sweden, pp. 96-107. Pearce, D.G. & Schott, C. (2005). Tourism Distribution Channels: The Visitors' Perspective. Journal of Travel Research 44(1): 50-63. Pearce, D. G. & Raewyn, T. (2006). The Distribution Mix For Tourism Attractions in Rotorua, New Zealand. Journal of Travel Research 44(3): 250-258.
  • 19. ENTER 2015 Research Track Slide Number 19 References Rensmann, B. & Klein, S. (2011). Sarkar, Butler & Steinfield (1995) “Intermediaries and Cybermediaries” Revisited: A Review and Identification of Future Research Directions for Intermediaries in Electronic Markets. In: Proceedings of 24th Bled eConference, Bled, Slovenia. Schegg, R., Stangl, B., Fux, M. & Inversini, A. (2013). Distribution channels and management in the Swiss Hotel sector. In: L. Cantoni & Z. Xiang (Eds.), Proceedings of Information and communication technologies in tourism 2013, Innsbruck, Austria pp. 554-565. Schegg, R. & Scaglione, M. (2014). Substitution Effects Across Hotel Distribution Channels. In I. Tussyadiah and Xiang, Z. (Eds.), Proceedings of Information and communication technologies in tourism 2014, Dublin, Irland, pp. 801-812. Schott, C. (2007). Selling adventure tourism: a distribution channels perspective. International Journal of Tourism Research 9(4): 257–274. Statistics Finland (2013). Over one-quarter of persons aged 75 to 89 use the Internet. Retrieved January 15, 2014, from http://www.stat.fi/til/sutivi/2013/sutivi_2013_2013-11-07_tie_001_en.html Thakran, K. & Verma, R. (2013). The Emergence of Hybrid Online Distribution Channels in Travel, Tourism and Hospitality. Cornell Hospitality Quarterly 54(3): 240-247. Werthner, H. & Klein, S. (1999). Information Technology and tourism: A challenging relationship. Wien – New York: Springer-Verlag. Wang, D., Xiang, Z. & Fesenmaier, D.R. (2014). Smartphone Use in Everyday Life and Travel, Journal of Travel Research published online 19 May 2014.