TY - GEN
T1 - The impact of online travel agencies on airlines' own online platform
T2 - 26th Americas Conference on Information Systems, AMCIS 2020
AU - Chen, Yanhong
AU - Liu, Luning
AU - Zhang, Zhenyuan
AU - Zhang, Zhiyun
N1 - Publisher Copyright:
© 2020 26th Americas Conference on Information Systems, AMCIS 2020. All rights reserved.
PY - 2020
Y1 - 2020
N2 - Usually, many airlines sell their tickets through their own 0nline platform and Online Travel Agency (OTA) platforms. Although selling tickets through the OTA platforms offers airlines exposure to a broader consumer base. It is unclear whether this effect applies to airlines' own online platform. In this paper, we analyzed the impact of the OTA's introduction on the self-owned platform to explain this problem. X Airlines determined to sell their tickets of some routes in Ctrip on May 21, 2012. Relying on this special quasi-experiment in combination with DID and PSM method, we empirically verify our conjecture. The results reveal that the introduction of OTA has caused a significant decline in the competitiveness (e.g. passenger load factor (PLF)) of their own online platform, while it has a positive effect on the auxiliary service sales (e.g. baggage revenue). Our findings have important implications for both airlines and platforms.
AB - Usually, many airlines sell their tickets through their own 0nline platform and Online Travel Agency (OTA) platforms. Although selling tickets through the OTA platforms offers airlines exposure to a broader consumer base. It is unclear whether this effect applies to airlines' own online platform. In this paper, we analyzed the impact of the OTA's introduction on the self-owned platform to explain this problem. X Airlines determined to sell their tickets of some routes in Ctrip on May 21, 2012. Relying on this special quasi-experiment in combination with DID and PSM method, we empirically verify our conjecture. The results reveal that the introduction of OTA has caused a significant decline in the competitiveness (e.g. passenger load factor (PLF)) of their own online platform, while it has a positive effect on the auxiliary service sales (e.g. baggage revenue). Our findings have important implications for both airlines and platforms.
KW - Difference-in-difference (DID)
KW - OTA platforms
KW - Propensity Score Matching (PSM)
KW - Quasi-experiment
UR - https://www.scopus.com/pages/publications/85097717331
M3 - 会议稿件
AN - SCOPUS:85097717331
T3 - 26th Americas Conference on Information Systems, AMCIS 2020
BT - 26th Americas Conference on Information Systems, AMCIS 2020
PB - Association for Information Systems
Y2 - 10 August 2020 through 14 August 2020
ER -