This document analyzes the electronic distribution channels for airline tickets. It identifies 140 online channels for Cathay Pacific Airways, including direct, OTA, and other channels. It finds that OTA airfares vary significantly by region, with Asian OTA prices generally lowest. The analysis also indicates Cathay Pacific employs dynamic pricing strategies across channels and regions to maximize revenue, offering lower prices to local OTAs.
Electronic distribution channels of airline ticket
1. Electronic distribution channels
of airline ticket
Yun Eui Leeįµ
Sunny Sunįµ,
Rob Lawįµ, and
Lina Zhongį¶
įµThe Hong Kong Polytechnic University, Hong Kong
yun-eui.lee@connect.polyu.hk, rob.law@polyu.edu.hk
įµRitsumeikan Asia Pacific University, Japan
sunnysun@apu.ac.jp
į¶Beijing International Studies University, China
zhonglina@bisu.edu.cn
1ENTER2020 ā Research Track
2. Introduction
ā¢ The expanding influence of e-commerce on the airline industry brings
both opportunities and challenges for airlines.
oIncreased sales volume
oInventory control
oReservation system
oMarketing
Opportunities
Controlling the diverse
distribution channels
Competing with OTAs over prices
Challenges
2ENTER2020 ā Research Track
(Demirciftci, Cobanoglu, Beldona, & Cummings, 2010)(Business Wire, 2019)
3. Introduction
ā¢ Nevertheless, differentiating between air carriers or OTAs has become
considerably difficult under such an intensely competitive online
environment.
ā¢ Thus, air carriers should examine their e-distribution channel
portfolio and find out the best practice of online pricing strategy with
the ultimate goal of revenue maximization.
3ENTER2020 ā Research Track
4. Research Objectives
To identify online distribution channels for airline tickets;
To compare the lowest airfares of OTAs in different regions;
To analyse the pricing strategy of air carriers; and
To find out the best-practice for airline ticketsā pricing
4ENTER2020 ā Research Track
5. Literature Review
E-distribution channels:
ā¢ E-distribution platforms provide significant financial contributions to
airlines (Roma, Zambuto, Perrone, & Review, 2014).
ā¢ At present, OTAs works more than intermediary job to sell inventory.
o Improve hotel rankings on OTA websites (Roma et al., 2014)
o Control the prices of travel-related products (Guo, Ling, Dong, & Liang, 2013)
5ENTER2020 ā Research Track
6. Literature Review
ā¢ The current operating model of OTAs has also caused some conflicts
between tourism suppliers and intermediaries.
oFierce competition because of the low entry barriers in the online
environment (Law, Chan, & Goh, 2007).
oLarge companies such as Amazon and Google bring unrelated diversification
into tourism industry.
ENTER2020 ā Research Track Page 6
7. Literature Review
Online pricing strategy:
ā¢ Airlines employ multi-channel distribution to sell airline tickets to succeed in the
fierce online competition.
oChen (2006) found out that the airline ticket prices sold by official websites
and OTAs do not have much disparity.
oBuhalis and Law (2008) believed that transparent online information
eventually result in price consistency.
7ENTER2020 ā Research Track
8. Methodology
Case study
of CX
Identify all the
online
distribution
channels
-google search
Data
collection
-short-haul (TPE)
-long-haul (NYC)
Data analysis
-ANOVA
8ENTER2020 ā Research Track
Chi and Koo (2009)Keyword search
9. Methodology
ā¢ Use Cathay Pacific Airways (CX) as a case study
Cathay Pacific Airways (CX):
oAsia Pacific is one of the rapidly growing region for e-commerce.
oFive-star airline in the list of āThe Worldās Top 10 Airlines of 2018ā.
oLeading Asian airlines which provide flights over 90 destinations in 35
countries/regions.
9ENTER2020 ā Research Track
10. Findings
ā¢ Profiles of the e-distribution channels
Regions Short-haul route Long-haul route
Asia 31 32
Europe 44 44
North America 51 52
Others
(Oceania, Middle East, Africa)
12 11
Direct online channel 2 1
Total 140 140
Table 1. Number of online airline ticket distribution channels of CX
10ENTER2020 ā Research Track
11. Findings
ā¢ Comparison of lowest airfares on OTAs in different regions
Region(i) Region(j) Mean Difference (i-j) Sig.
Asia
(USD $500.22)
North America -93.55 .000*
Europe -83.40 .000*
Others -137.48 .000*
North America
(USD $593.77)
Asia 93.55 .000*
Europe 10.15 .478
Others -43.93 .000*
Europe
(USD $583.62)
Asia 83.40 .000*
North America -10.15 .478
Others -54.08 .000*
Others
(USD $637.70)
Asia 137.48 .000*
North America 43.93 .000*
Europe 54.08 .000*
Table 2. ANOVA tests of lowest airfares for short-haul flight among different regions
11ENTER2020 ā Research Track
12. Findings
ā¢ Comparison of lowest airfares on OTAs in different regions
Region(i) Region(j) Mean Difference (i-j) Sig.
Asia
(USD$ 3012.99)
North America -425.05 .000*
Europe -318.98 .000*
Others -620.22 .000*
North America
(USD$ 3438.04)
Asia 425.05 .000*
Europe 106.07 .043*
Others -195.17 .000*
Europe
(USD$ 3331.97)
Asia 318.98 .000*
North America -106.07 .043*
Others -301.24 .000*
Others
(USD$ 3633.21)
Asia 620.22 .000*
North America 195.17 .000*
Europe 301.24 .000*
Table 3. ANOVA tests of lowest airfares for long-haul flight among different regions
12ENTER2020 ā Research Track
13. Findings
ā¢ Analysis of online pricing practice of CX
1. Comparisons of airfares of OTAs and that charged by the official
website of CX
2. Comparisons of airfares by different regional OTAs
3. Assessment of price discrimination on code-share flights
13ENTER2020 ā Research Track
14. Findings
ā¢ Some OTAs continue selling low-price airline tickets compared with
those sold by the official website of CX.
ā¢ CX is likely to employ different online pricing strategies across
different channels, thereby providing cheap airline tickets to a limited
number of regional travel agencies within the Asia-Pacific region.
ENTER2020 ā Research Track Page 14
15. Implications
ā¢ Theoretical implications
oCX adopted dynamic pricing strategy to effectively control its inventory.
oCX collaborated with different e-distribution channels as an expansion to
target different segments.
15ENTER2020 ā Research Track
16. Implication
ā¢ Practical implications
oCollaborate with regional OTAs for new flight routes
oCollaborate with selective āquality OTAsā
oMonitor online distribution channelsā pricing
oāBest Rate Guaranteeā on the official website
16ENTER2020 ā Research Track
17. Conclusion
ā¢ Ticket price disparity remains across online distribution channels.
ā¢ CX Airways offered the cheapest ticket price to local OTAs.
17ENTER2020 ā Research Track
18. Limitation and future research
ā¢ It might be possible to disregard some OTAs.
ā¢ Only the lowest prices were retrieved without considering other
factors.
ā¢ Future studies are suggested to extend the tracking period and cover
more flight routes to investigate e-distribution channels of airline
tickets.
18ENTER2020 ā Research Track
19. References
ā¢ Buhalis, D., & Law, R. (2008). Progress in information technology and tourism management: 20 years on and 10 years after the Internetā
The state of eTourism research. Tourism Management, 29(4), 609-623.
ā¢ Business Wire. (2019). Travel Agency Air Ticket Sales Soar 7.1 Percent in 2018. Retrieved May 2, 2019, from
https://www.businesswire.com/news/home/20190117005400/en/Travel-Agency-Air-Ticket-Sales-Soar-7.1.
ā¢ Chen, J. (2006). Differences in average prices on the internet: Evidence from the online market for air travel. Economic Inquiry, 44(4), 656-
670.
ā¢ Chi, J., & Koo, W. W. (2009). Carriersā pricing behaviors in the United States airline industry. Transportation Research Part E: Logistics and
Transportation Review, 45(5), 710-724.
ā¢ Demirciftci, T., Cobanoglu, C., Beldona, S., & Cummings, P. R. (2010). Room rate parity analysis across different hotel distribution channels in
the US. Journal of Hospitality Marketing & Management, 19(4), 295-308.
ā¢ Guo, X., Ling, L., Dong, Y., & Liang, L. (2013). Cooperation contract in tourism supply chains: The optimal pricing strategy of hotels for
cooperative third party strategic websites. Annals of Tourism Research, 41, 20-41.
ā¢ Law, R., Chan, I., & Goh, C. (2007). Where to find the lowest hotel room rates on the internet? The case of Hong Kong. International Journal
of Contemporary Hospitality Management, 19(6), 495-506.
ā¢ Roma, P., Zambuto, F., Perrone, G. (2014). Price dispersion, competition, and the role of online travel agents: Evidence from business routes
in the Italian airline market. Transportation Research Part E: Logistics and Transportation Review, 69, 146-159.
ENTER2020 ā Research Track Page 19
21. Keywords
ā¢ āLowest airfareā, āair ticketā, āairfareā, āairline ticketā, āHong Kong to city
name flightsā, ācheap tickets to city nameā, āCathay Pacific city nameā,
āCathay Pacific cheap faresā, ācity name flight ticketsā, āflights from
Hong Kong to city nameā and āonline travel agencyā were used to
search for all channels that CX adopted for its e-distribution of airline
tickets.
ENTER2020 ā Research Track Page 21