Cooperation and competition between online travel agencies and hotels

Abstract With the advent of O2O (online to offline) mode, Online Travel Agency (OTA) websites help to introduce new customers to hotels. However, since OTAs charge a hefty commission, hotel managers hope returning customers can book future visits from hotel websites instead of OTA websites. The study is to investigate how OTAs and hotels cooperate and compete with each other at the same time in the multichannel environments. The results show that OTAs can attract new and returning customers by website service quality while hotels can attract returning customers by perceived value. On the other hand, OTA website service quality has a negative effect on intention to rebook via hotel websites and the intention to rebook via OTA and hotel websites indeed have a negative relationship. Thus, the two channels compete with each other for customers' future visits.

[1]  Shuiqing Yang,et al.  Why do consumers adopt online channel? An empirical investigation of two channel extension mechanisms , 2013, Decis. Support Syst..

[2]  Miyoung Jeong,et al.  Customers’ perceived website service quality and its effects on e-loyalty , 2017 .

[3]  G. Viglia,et al.  The exploration of hotel reference prices under dynamic pricing scenarios and different forms of competition , 2016 .

[4]  R. Oliver A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions , 1980 .

[5]  Sergio Román,et al.  Adding clicks to bricks: A study of the consequences on customer loyalty in a service context , 2012, Electron. Commer. Res. Appl..

[6]  Richard T. Watson,et al.  Service Quality: A Measure of Information System Effectiveness , 1995, MIS Q..

[7]  Esther Martínez-García,et al.  Economic and social yield of investing in hiking tourism: the case of Berguedà, Spain , 2018 .

[8]  Robin Nunkoo,et al.  Integrating service quality as a second-order factor in a customer satisfaction and loyalty model , 2017 .

[9]  S. Lennon,et al.  What induces online loyalty? Online versus offline brand images , 2009 .

[10]  Beverley Sparks,et al.  E-service Quality Management of a Hotel Website: A Scale and Implications for Management , 2017 .

[11]  Dolores M. Frías-Jamilena,et al.  Overall Perceived Value of a Tourism Service Delivered via Different Media , 2016 .

[12]  Narasimhaiah Gorla,et al.  Organizational impact of system quality, information quality, and service quality , 2010, J. Strateg. Inf. Syst..

[13]  Heng Xu,et al.  Information Privacy Concerns: Linking Individual Perceptions with Institutional Privacy Assurances , 2011, J. Assoc. Inf. Syst..

[14]  Hsi-Peng Lu,et al.  The influence of extro/introversion on the intention to pay for social networking sites , 2010, Inf. Manag..

[15]  Ulrike Gretzel,et al.  Special issue on Smart Tourism Systems: Convergence of information technologies, business models, and experiences , 2015, Comput. Hum. Behav..

[16]  Yi-Shun Wang,et al.  An examination of the determinants of customer loyalty in mobile commerce contexts , 2006, Inf. Manag..

[17]  Helen Scarborough,et al.  Reconsidering the estimation of the economic impact of cultural tourism , 2017 .

[18]  J. Schepers,et al.  Identifying Cross-Channel Dissynergies for Multichannel Service Providers , 2007 .

[19]  David Gefen,et al.  Customer Loyalty in E-Commerce , 2002, J. Assoc. Inf. Syst..

[20]  Fevzi Okumus,et al.  International Journal of Hospitality Management , 2022 .

[21]  Chun-Ming Chang,et al.  Determinants of repurchase intention in online group-buying: The perspectives of DeLone & McLean IS success model and trust , 2014, Comput. Hum. Behav..

[22]  Ulrike Gretzel,et al.  Smart tourism: foundations and developments , 2015, Electronic Markets.

[23]  Tao Zhou,et al.  The Relative Importance of Website Design Quality and Service Quality in Determining Consumers’ Online Repurchase Behavior , 2009, Inf. Syst. Manag..

[24]  Daniel Felsenstein,et al.  Support for rural tourism does it make a difference , 2000 .

[25]  Yong Liu,et al.  Understanding post-adoption behaviors of e-service users in the context of online travel services , 2014, Inf. Manag..

[26]  Glenn B. Voss,et al.  Determinants of online channel use and overall satisfaction with a relational, multichannel service provider , 2003 .

[27]  William J. Kettinger,et al.  Zones of Tolerance: Alternative Scales for Measuring Information Systems Service Quality , 2005, MIS Q..

[28]  A. Parasuraman,et al.  A MULTIPLE-ITEM SCALE FOR MEASURING CUSTOMER PERCEPTIONS OF SERVICE QUALITY , 1988 .

[29]  Chenchen Yang,et al.  Opening the online marketplace: An examination of hotel pricing and travel agency on-line distribution of rooms , 2014 .

[30]  L. G. Pee,et al.  Antecedents and Impact of Knowledge Management Capability in Public Organizations , 2010, PACIS.

[31]  I. G. Saura,et al.  Value dimensions, perceived value, satisfaction and loyalty: an investigation of university students’ travel behaviour , 2006 .

[32]  Rosa M. Rodríguez,et al.  Perceived value of the purchase of a tourism product , 2006 .

[33]  Miguel García Effects of Competition and Quality on Hotel Pricing Policies in an Online Travel Agency , 2013 .

[34]  Jules Dupuit and the Early Theory of Marginal Cost Pricing , 1968, Journal of Political Economy.

[35]  Anol Bhattacherjee,et al.  Understanding Information Systems Continuance: An Expectation-Confirmation Model , 2001, MIS Q..

[36]  Jiyoung Kim,et al.  Joint influence of online store attributes and offline operations on performance of multichannel retailers , 2010, Behav. Inf. Technol..

[37]  Young-Gul Kim,et al.  Extending the TAM for a World-Wide-Web context , 2000, Inf. Manag..

[38]  A. Mattila,et al.  The Role of Emotions in Service Encounters , 2002 .

[39]  Venkatesh Shankar,et al.  Customer value, satisfaction, loyalty, and switching costs: An illustration from a business-to-business service context , 2004 .

[40]  H. Harman Modern factor analysis , 1961 .

[41]  Ulrike Gretzel,et al.  Likes - The key to my happiness: The moderating effect of social influence on travel experience , 2017, Inf. Manag..

[42]  A. Lu,et al.  Drivers of consumers’ behavioral intention toward green hotels , 2018 .

[43]  Paul Wang,et al.  Assessing two consumer behavioural intention models in a service environment , 2017 .

[44]  E. Thorndike Equality in Difficulty of Alternative Intelligence Examinations. , 1920 .

[45]  Yong Long,et al.  Pricing strategies of tour operator and online travel agency based on cooperation to achieve O2O model , 2017 .

[46]  Detmar W. Straub,et al.  Structural Equation Modeling and Regression: Guidelines for Research Practice , 2000, Commun. Assoc. Inf. Syst..

[47]  D. Straub,et al.  Editor's comments: a critical look at the use of PLS-SEM in MIS quarterly , 2012 .

[48]  V. Zeithaml Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence , 1988 .

[49]  Nick Bontis,et al.  User acceptance of wireless short messaging services: Deconstructing perceived value , 2007, Inf. Manag..

[50]  A. Parasuraman,et al.  SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. , 1988 .

[51]  Barbara L. Gross,et al.  Why we buy what we buy: A theory of consumption values , 1991 .

[52]  Christopher L. Carr A Psychometric Evaluation of the Expectations, Perceptions, and Difference-Scores Generated by the IS-Adapted SERVQUAL Instrument , 2002, Decis. Sci..

[53]  Tibert Verhagen,et al.  Online purchase intentions: A multi-channel store image perspective , 2009, Inf. Manag..

[54]  Joon Koh,et al.  A Comparison of Online Trust Building Factors between Potential Customers and Repeat Customers , 2004, J. Assoc. Inf. Syst..

[55]  Szu-Yuan Sun,et al.  Usability, quality, value and e-learning continuance decisions , 2005, Comput. Educ..

[56]  Michael R. Mullen Diagnosing Measurement Equivalence in Cross-National Research , 1995 .

[57]  Shuiqing Yang,et al.  Empirical investigation of customers' channel extension behavior: Perceptions shift toward the online channel , 2011, Comput. Hum. Behav..

[58]  Atreyi Kankanhalli,et al.  Investigating user resistance to information systems implementation: a status quo bias perspective , 2009 .

[59]  Huei Huang Kuan,et al.  The progression of online trust in the multi-channel retailer context and the role of product uncertainty , 2012, Decis. Support Syst..

[60]  A. Parasuraman,et al.  The Behavioral Consequences of Service Quality , 1996 .

[61]  K. B. Monroe Pricing: Making Profitable Decisions , 1990 .

[62]  Rathindra Sarathy,et al.  Understanding compliance with internet use policy from the perspective of rational choice theory , 2010, Decis. Support Syst..

[63]  Shuiqing Yang,et al.  A study on factors that affect users' behavioral intention to transfer usage from the offline to the online channel , 2011, Comput. Hum. Behav..

[64]  Izak Benbasat,et al.  Addressing the What and How of Online Services: Positioning Supporting-Services Functionality and Service Quality for Business-to-Consumer Success , 2008, Inf. Syst. Res..

[65]  Antonio Moreno,et al.  Integration of Online and Offline Channels in Retail: The Impact of Sharing Reliable Inventory Availability Information , 2014, Manag. Sci..

[66]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[67]  S. Lin Identifying the Critical Success Factors and an Optimal Solution for Mobile Technology Adoption in Travel Agencies , 2017 .

[68]  G. Soutar,et al.  Consumer perceived value: The development of a multiple item scale , 2001 .

[69]  Liang Liang,et al.  Availability management of hotel rooms under cooperation with online travel agencies , 2015 .

[70]  Miguel Ángel Ropero Dynamic Pricing Policies of Hotel Establishments in an Online Travel Agency , 2011 .

[71]  Yoo-shik Yoon,et al.  Investigating the relationships among perceived value, satisfaction, and recommendations: the case of the Korean DMZ. , 2007 .