The tourism Web acceptance model

The tourism Web acceptance model (T-WAM) is a model of consumers’ acceptance of information technology designed for e-tourism. The model aims to explain intention to book tourism products online better than other models do. Results from a survey collected from 389 Tunisian consumers show that the T-WAM is more robust than other models and theories (e.g. technology acceptance model, theory of planned behavior (TPB), decomposed TPB model, and flow theory) to explain behavioral intention in the context of e-tourism. The explained variance of intention to book is about 51% (R 2 = 50.6%). Results are discussed in detail, and recommendations, limitations, and suggestions for future research are provided.

[1]  Hsiu-Fen Lin,et al.  Predicting consumer intentions to shop online: An empirical test of competing theories , 2007, Electron. Commer. Res. Appl..

[2]  Lingyun Qiu,et al.  Applying TAM in B2C E-commerce research: An extended model , 2008 .

[3]  Xinran Y. Lehto,et al.  Gender differences in online travel information search: Implications for marketing communications on the internet , 2007 .

[4]  Namho Chung,et al.  The effect of perceived trust on electronic commerce: Shopping online for tourism products and services in South Korea , 2011 .

[5]  Kieran Mathieson,et al.  Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior , 1991, Inf. Syst. Res..

[6]  Matthew K. O. Lee,et al.  Acceptance of Internet-based learning medium: the role of extrinsic and intrinsic motivation , 2005, Inf. Manag..

[7]  A. Notani Moderators of Perceived Behavioral Control's Predictiveness in the Theory of Planned Behavior: A Meta-Analysis , 1998 .

[8]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[9]  Ying-Hueih Chen,et al.  Website attributes that increase consumer purchase intention: A conjoint analysis , 2010 .

[10]  Cathy H. C. Hsu,et al.  Predicting behavioral intention of choosing a travel destination , 2006 .

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

[12]  Hung-Pin Shih,et al.  Extended technology acceptance model of Internet utilization behavior , 2004, Inf. Manag..

[13]  C. Ruiz-Mafé,et al.  Drivers and barriers to online airline ticket purchasing , 2009 .

[14]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[15]  Prashant Palvia,et al.  The role of trust in e-commerce relational exchange: A unified model , 2009, Inf. Manag..

[16]  Rob Law,et al.  A comparison of competing theoretical models for understanding acceptance behavior of information systems in upscale hotels , 2009 .

[17]  Paul A. Pavlou,et al.  Predicting E-Services Adoption: A Perceived Risk Facets Perspective , 2002, Int. J. Hum. Comput. Stud..

[18]  Jae Hyoung Lee,et al.  An empirical examination of the acceptance behaviour of hotel front office systems: An extended technology acceptance model , 2008 .

[19]  W. Kim,et al.  Determinants of Chinese hotel customers’ e-satisfaction and purchase intentions , 2006 .

[20]  H. Raghav Rao,et al.  A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents , 2008, Decis. Support Syst..

[21]  T. C. Edwin Cheng,et al.  Application of structural equation modeling to evaluate the intention of shippers to use Internet services in liner shipping , 2007, Eur. J. Oper. Res..

[22]  Viswanath Venkatesh,et al.  Creation of Favorable User Perceptions: Exploring the Role of Intrinsic Motivation , 1999, MIS Q..

[23]  Héctor San Martín,et al.  Influence of the user's psychological factors on the online purchase intention in rural tourism: integrating innovativeness to the UTAUT framework. , 2012 .

[24]  Anne-Mette Hjalager A review of innovation research in tourism , 2010 .

[25]  Han Yi,et al.  Trust and e-commerce: a study of consumer perceptions , 2003, Electron. Commer. Res. Appl..

[26]  Richard P. Bagozzi,et al.  The degree of intention formation as a moderator of the attitude-behavior relationship , 1989 .

[27]  Ming-Chi Lee,et al.  Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit , 2009, Electron. Commer. Res. Appl..

[28]  Kevin P. Hwang,et al.  The combined model of influencing on-line consumer behavior , 2010, Expert Syst. Appl..

[29]  Nena Lim,et al.  Consumers' perceived risk: sources versus consequences , 2003, Electron. Commer. Res. Appl..

[30]  Dimitrios Buhalis,et al.  Progress in tourism management : a review of website evaluation in tourism research , 2010 .

[31]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[32]  Lei-da Chen,et al.  Enticing online consumers: an extended technology acceptance perspective , 2002, Inf. Manag..

[33]  Marios Koufaris,et al.  Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior , 2002, Inf. Syst. Res..

[34]  A. Morrison,et al.  A Model of Traveller Acceptance of Mobile Technology , 2008 .

[35]  M. Csíkszentmihályi Beyond boredom and anxiety , 1975 .

[36]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[37]  B. Bai,et al.  The impact of website quality on customer satisfaction and purchase intentions : evidence from Chinese online visitors , 2008 .

[38]  L. Stoel,et al.  Consumer e-shopping acceptance: Antecedents in a technology acceptance model , 2009 .

[39]  Juhani Iivari,et al.  Why do individuals use computer technology? A Finnish case study , 1995, Inf. Manag..

[40]  Tao Zhou,et al.  Exploring Chinese users' acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory , 2009, Comput. Hum. Behav..

[41]  K. Ruyter,et al.  What drives consumers to shop online? A literature review , 2004 .

[42]  D. Gursoy,et al.  AN INTEGRATIVE MODEL OF TOURISTS’ INFORMATION SEARCH BEHAVIOR , 2004 .

[43]  E. Rogers,et al.  Diffusion of innovations , 1964, Encyclopedia of Sport Management.

[44]  T. Kim,et al.  Modeling roles of subjective norms and eTrust in customers' acceptance of airline B2C eCommerce websites. , 2009 .

[45]  Julian Ming-Sung Cheng,et al.  Consumer acceptance of the internet as a channel of distribution in Taiwan—a channel function perspective , 2006 .

[46]  Ing-Long Wu,et al.  An extension of Trust and TAM model with TPB in the initial adoption of on-line tax: An empirical study , 2005, Int. J. Hum. Comput. Stud..

[47]  Leo R. Vijayasarathy,et al.  Predicting consumer intentions to use on-line shopping: the case for an augmented technology acceptance model , 2004, Inf. Manag..

[48]  James N.K. Liu,et al.  An investigation of factors affecting customer selection of online hotel booking channels , 2014 .

[49]  E. McKinney,et al.  Extending the Technology Acceptance Model and the Task-Technology Fit Model to Consumer E-Commerce , 2004 .

[50]  Cristian Morosan,et al.  Users’ perceptions of two types of hotel reservation Web sites , 2008 .

[51]  Lei-da Chen,et al.  Technology Adaptation in E-Commerce: Key Determinants of Virtual Stores Acceptance , 2004 .

[52]  Martin Wetzels,et al.  A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects , 2007, Inf. Manag..

[53]  Dimitrios Buhalis,et al.  E-Commerce in China: The case of travel , 2006, Int. J. Inf. Manag..

[54]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[55]  李东,et al.  Applying TAM in B2C E-Commerce Research: An Extended Model , 2008 .

[56]  Ángel Herrero Crespo,et al.  The effect of innovativeness on the adoption of B2C e-commerce: A model based on the Theory of Planned Behaviour , 2008, Comput. Hum. Behav..

[57]  Pearl Brereton,et al.  Does the technology acceptance model predict actual use? A systematic literature review , 2010, Inf. Softw. Technol..