Sustainable Competitive Advantages of Chinese Online Travel Agents by RBV Model: A Data Based Analysis

Author(s):  
Jiyang Chen ◽  
Haojiang Tong ◽  
Yue Li
2020 ◽  
pp. 193896552097358
Author(s):  
Saram Han ◽  
Christopher K. Anderson

As consumers increasingly research and purchase hospitality and travel services online, new research opportunities have become available to hospitality academics. There is a growing interest in understanding the online travel marketplace among hospitality researchers. Although many researchers have attempted to better understand the online travel market through the use of analytical models, experiments, or survey collection, these studies often fail to capture the full complexity of the market. Academics often rely upon survey data or experiments owing to their ease of collection or potentially to the difficulty in assembling online data. In this study, we hope to equip hospitality researchers with the tools and methods to augment their traditional data sources with the readily available data that consumers use to make their travel choices. In this article, we provide a guideline (and Python code) for how to best collect/scrape publicly available online hotel data. We focus on the collection of online data across numerous platforms, including online travel agents, review sites, and hotel brand sites. We outline some exciting possibilities regarding how these data sources might be utilized, as well as discuss some of the caveats that have to be considered when analyzing online data.


2020 ◽  
Vol 2 (2) ◽  
pp. 133-151
Author(s):  
Ni Luh Indiani

The development of increasingly advanced technology has an important influence in the tourism service industry, namely the utilization of internet technology in the process of booking tour and travels through online travel agents. Conventional travel agents are increasingly being abandoned as travelers turn to online travel agents. Under these conditions conventional travel agents need to make a number of efforts to keep customers in order to survive. This study aims to analyze the effect of service quality on satisfaction, trust and loyalty of travel agent customers in Badung regency.Research respondents are domestic and foreign customers who use travel agent services in Badung regency, as many as 70 respondents. Data collection was done through survey using questionnaire. Testing research hypothesis using Partial Least Square (PLS).The result of the research shows that 1) the quality of service has positive and significant effect to customer satisfaction, trust and loyalty, 2) customer satisfaction has positive and insignificant effect to customer loyalty, 3) customer trust has negative and insignificant effect to customer loyalty, 4) satisfaction and customer trust does not mediate the influence of service quality on customer loyalty.Travel agent in Badung regency should improve and pay attention to the indicators supporting the satisfaction, trust and customer loyalty so that customers are not easy to switch to competitors.


Media Wisata ◽  
2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Lutfi Hendriyati

Technological developments and can change the mind and desires of guests in booking hotel rooms. Online travel agents are one of the most advanced products that are currently booming, and also for changes room reservation to be direct or go shows switching to using online travel agents. The purpose of this study was to know information why the guest booking room directly going to online travel agents, in order to improve the e-commerce effort of services to maintain guests while still choosing Mutiara Malioboro Hotel Yogyakarta as a place to stay. Research is an online travel agent that can increase hotel occupancy rates because they are accessible, efficient and effective at competitive prices, as well as hotel costs with sales costs, fees and employee usage fees. Management support in OTA is also needed in an effort to increase the number of orders through OTA.


2017 ◽  
Vol 58 (4) ◽  
pp. 342-353 ◽  
Author(s):  
Xiaoqing (Kristine) Xie ◽  
Chris K. Anderson ◽  
Rohit Verma

Using two choice-based experiments, we evaluate consumer preferences hotel attributes for firms selling hotel rooms across three online distribution channel formats: full information, semi-opaque, and opaque online travel agents. A multinomial logit model is used to analyze the experimental data and measure consumer trade-offs between price and other product attributes. We then use these preferences to determine optimal channel selling strategies. Our optimal channel strategies illustrate under what conditions firms should add opaque distribution channels and the resulting incremental revenue obtained with the setting of optimal channel specific prices. We deploy two choice-based experiments, traditional and menu-based, in an effort to add flexibility to survey respondents in choice selection. As part of our analysis, we compare managerial insights from analysis based on traditional choice-based experiments to that using menu-based choice experiments. In general, we indicate that both forms of opaque selling increase firm demand and that with appropriate pricing can also increase firm revenue. In addition, opaque channels have elevated price sensitivity and increased impact of guest reviews versus traditional online travel agents.


Jurnal IPTA ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 155
Author(s):  
Putu Agus Wikanatha Sagita ◽  
I Made Kusuma Negara

This study aims to (1) Identifying the characteristics of tourists who have booked accommodation through Online Travel Agents in Ubud Tourist Area, (2) Identifying factors that encourage tourists to book accommodation through Online Travel Agents in Ubud Tourist Area , (3) Identifying what is the most dominant factor encouraging tourists to book accommodation through Online Travel Agents in Ubud Tourist Area. Data in this study was conducted with observation, interview, questionnaire and literature study techniques. Data analysis technique used is quantitative descriptive analysis and factor analysis. The characteristics of respondents in this study based on age are dominated by tourists with an age range of 21-30 years, which is 53.3% or with a total of 96 people. Based on the length of stay dominated by tourists who stay 1-4 days, which is 57.8% or with a total of 104 people. The Online Travel Agent most used by respondents is booking.com, which is 48.9% or used by 88 people. Based on the analysis of factors produced four factors that influence tourists who book accommodations through online travel agents in the Ubud Tourist Area, namely 1) Efficiency factors: (a) Saving Energy, (b) Saving Time, (c) Shopping every time. 2) Preference Factors: (a) Economical, (b) Product Use, (c) Price Competition, and (d) References. 3) Psychological Factors: (a) Learning, (b) Perception, (c) Motivation, and (d) Facilities and Infrastructure. 4) Trust Factors: (a) Trust in the Internet, (b) Trust in Applications, and (c) Security Perceptions.


2020 ◽  
Vol 39 (1) ◽  
pp. 92-116 ◽  
Author(s):  
Matthias Hunold ◽  
Reinhold Kesler ◽  
Ulrich Laitenberger

Author(s):  
Lim Sanny ◽  
Rini Inthalasari ◽  
Martin Wiranata Chandra ◽  
Hengky Yacobson

The demand of travelling in Indonesia has risen at the rate of 30% since 2017. Currently, traveling requirements can be easily fulfilled by the presence of online medias such as Google, online travel agents, and Facebook. It has been successfully proven that these online media managed to assist Indonesians to fulfill their travelling needs, all the way from searching for travel destinations until hotels. However, the abundance of information and interesting benefits in every option is now a huge challenge in choosing the most suitable option for every people since it requires more time to consider all those options. Besides that, budget is also a main issue for travelers. Therefore, a platform that is able to offer solutions to solve the above-mentioned issues is needed. Travelogy is a platform in which the innovation in its business is customer driven. It provides one stop solution for every traveling needs to anybody who is interested on budget-traveling online.


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