Price dispersion, competition, and the role of online travel agents: Evidence from business routes in the Italian airline market

2014 ◽  
Vol 69 ◽  
pp. 146-159 ◽  
Author(s):  
Paolo Roma ◽  
Fabio Zambuto ◽  
Giovanni Perrone
Keyword(s):  
Price Dispersion ◽  
Travel Agents ◽  
Online Travel ◽  
Online Travel Agents

scholarly journals Coordination Contracts for Hotels and Online Travel Agents

2020 ◽  
Vol 12 (8) ◽  
pp. 3355
Author(s):  
Qiang Guo ◽  
Chris K. Anderson ◽  
Junfeng Dong ◽  
Pengfei Zhao ◽  
Qingkai Ji
Keyword(s):  
Supply Chain ◽  
Third Party ◽  
Numerical Examples ◽  
Travel Agents ◽  
New Type ◽  
The Individual ◽  
Online Travel ◽  
Theoretical Results ◽  
Online Travel Agents

Herein, we address a common problem of hotels in the current world of online selling, namely the management of relationships with third party resellers (also known as online travel agents (OTAs)). We highlight the role of OTAs in the current travel landscape, and we discuss the popular contracting forms between OTAs and hotels, which are the so-called merchant and retail (commission) models. We illustrate how these contracts fail to coordinate the hotel–OTA relationship, and then, we develop a new type of contract that can efficiently coordinate a supply chain consisting of the OTA and the individual hotels. We provide theoretical results and numerical examples for a one-to-one model with one OTA and one supplier and a more realistic setting with an OTA selling to consumers on behalf of numerous hotel partners.

scholarly journals Analisis Strategi E-Marketing Dalam Upaya Peningkatan Penjualan Travel Agent Online mybaliwisata.com

2019 ◽  
pp. 12-17
Author(s):  
Fitria Pebri Evariyanti ◽  
Ni Made Estiyanti ◽  
Sephy Lavianto
Keyword(s):  
Analysis Method ◽  
Great Opportunity ◽  
Travel Agent ◽  
Travel Agents ◽  
Online Sales ◽  
Business Model Canvas ◽  
Effectiveness And Efficiency ◽  
Online Travel ◽  
Online Travel Agents

Every year the graph of foreign and domestic tourist arrivals to Bali continues to increase. This is a great opportunity to increase tourist destination visits to Bali. The role of technology will answer the problems that exist in this era of globalization by using computerized systems, so that the use of information technology helps effectiveness and efficiency in working on information system processes. After analyzing the Business Model Canvas (BMC) and E-marketing Business data using social media, the results obtained were an increase in sales of mybaliwisata.com online travel agents in increasing sales turnover. This study uses the Break Event Point (BEP) analysis method to calculate the valuation of mybaliwisata.com online travel agent company, so that optimization of the increase in mybaliwisata.com Travel Agent Online sales can be done well.

Web Scraping for Hospitality Research: Overview, Opportunities, and Implications

2020 ◽  
pp. 193896552097358
Author(s):  
Saram Han ◽  
Christopher K. Anderson
Keyword(s):  
Data Sources ◽  
Analytical Models ◽  
Online Data ◽  
Travel Agents ◽  
Web Scraping ◽  
Travel Services ◽  
New Research ◽  
Online Travel ◽  
Online Travel Agents ◽  
Tools And Methods

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.

scholarly journals Pengaruh Kualitas Layanan Terhadap Kepuasan, Kepercayaan Dan Loyalitas Pelanggan Travel Agent Di Kabupaten Badung

2020 ◽  
Vol 2 (2) ◽  
pp. 133-151
Author(s):  
Ni Luh Indiani
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Customer Loyalty ◽  
Partial Least Square ◽  
Travel Agent ◽  
Travel Agents ◽  
Insignificant Effect ◽  
Customer Trust ◽  
Online Travel ◽  
Online Travel Agents

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.

scholarly journals Pengaruh Online Travel Agent terhadap Pemesanan Kamar di Hotel Mutiara Malioboro Yogyakarta

Media Wisata ◽  
2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Lutfi Hendriyati
Keyword(s):  
Management Support ◽  
Travel Agent ◽  
Travel Agents ◽  
Competitive Prices ◽  
Technological Developments ◽  
The Mind ◽  
Online Travel ◽  
Occupancy Rates ◽  
Online Travel Agents

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.

scholarly journals Motivation for ‘Consumer–Producer‘ Interactions in Tourism: Disintermediation and Scope for Travel Agencies

2016 ◽  
Vol 11 (1) ◽  
pp. 31-45
Author(s):  
Fernandes Anthony Jovial ◽  
Alex Emy
Keyword(s):  
The Internet ◽  
Buying Behavior ◽  
Structured Interviews ◽  
Online Transactions ◽  
Travel Agents ◽  
Changing Trends ◽  
Travel Agencies ◽  
Online Travel

Increase in accessibility to the internet and consumer’s faith in conducting online transactions, have paved way for a steady change in how consumers plan and buy their holidays. The role of traditional travel agents and online travel portals, as sources most knowledgeable about holiday destinations is on the wane due to the emergence of online reviewing platforms, and easily accessible and first-hand information from the service producers. Consumers today prefer to approach service producers such as resorts, restaurants, transport providers and guides to book their services. Given this scenario, this paper attempts to determine the catalyst for the changing trends in tourist buying behavior, the role of the internet and whether travel agents are aware of the said changes. The paper also looks at possible opportunities for travel agents to expand their products’ portfolio to maintain or increase their revenue in tandem with the changes in the industry. The study takes into consideration responses received from 75 tourists and structured interviews conducted with sixteen travel agents.

scholarly journals Customer Preferences and Opaque Intermediaries

2017 ◽  
Vol 58 (4) ◽  
pp. 342-353 ◽  
Author(s):  
Xiaoqing (Kristine) Xie ◽  
Chris K. Anderson ◽  
Rohit Verma
Keyword(s):  
Consumer Preferences ◽  
Distribution Channel ◽  
Multinomial Logit Model ◽  
Price Sensitivity ◽  
Travel Agents ◽  
Customer Preferences ◽  
Trade Offs ◽  
Selling Strategies ◽  
Online Travel ◽  
Online Travel Agents

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.

scholarly journals Examine The Role of Online Travel Agents to Increase Room Occupancy

2021 ◽  
Author(s):  
Hary Hermawan ◽  
Rudi Wijayanto ◽  
Prihatno ◽  
Nikasius Jonet Sinangjoyo
Keyword(s):  
Case Study Research ◽  
Travel Agents ◽  
Advantages And Disadvantages ◽  
Start Up ◽  
The Difference ◽  
The Many ◽  
Online Reservation ◽  
Online Travel

Online Travel Agent (OTA) is an online-based start-up company that serves ticket purchases, hotel room reservations, and tourist attraction ticket purchases. One of the many OTA companies that collaborate with accommodation providers is Traveloka. Balkondes Sakapitu has used OTA, in this case, Traveloka as a partner in selling its products in the form of rooms. This study aims to analyze the role of OTA in increasing room occupancy in Balkondes Sakapitu. This research is qualitative research with a case study research design. This study indicates that OTA plays an essential role in increasing room occupancy at Balkondes Sakapitu. The increase in room occupancy is measured by the number of online reservation levels through Traveloka within three months from October to December 2020. The role of increasing room occupancy, the use of OTA in this case Traveloka includes: showing the position or position of the hotel based on reviews from guests and a forum for promotion and sales. There are advantages and disadvantages of using Traveloka for Balkondes Sakapitu. These advantages include marketing personnel's efficiency, saving operational costs, easy to change prices, and statistical data reports. While the drawbacks: the difference in sales prices, long payment tempo, and needed qualified HR. The strength of this research, when compared with previous research, is that this study reveals the pattern of cooperation between the hotel and OTA, and discusses the distribution of commission amounts that in previous studies not discussed.

scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI WISATAWAN DALAM MELAKUKAN PEMESANAN AKOMODASI MELALUI ONLINE TRAVEL AGENTS DI KAWASAN WISATA UBUD

Jurnal IPTA ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 155
Author(s):  
Putu Agus Wikanatha Sagita ◽  
I Made Kusuma Negara
Keyword(s):  
Price Competition ◽  
Descriptive Analysis ◽  
Dominant Factor ◽  
Literature Study ◽  
Quantitative Descriptive Analysis ◽  
Travel Agents ◽  
Quantitative Descriptive ◽  
Study Techniques ◽  
Online Travel ◽  
Online Travel Agents

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.

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