An empirical examination of guests' adoption of interactive mobile technologies in hotels

Purpose – Interactive mobile technologies (IMT) offered to hotel guests during their stay represent an interesting development in consumer technologies in the hotel industry. Such technologies are designed to facilitate transactions and enhance the quality of guest experience. This research explains how hotel guests develop attitudes and intentions to use IMT in hotels. The paper aims to discuss these issues. Design/methodology/approach – Using data from students enrolled in a large hospitality program located in the Southwestern USA, the study validates a variant of the technology acceptance model, extended with constructs such as cognitive absorption and security that capture better the context of IMT in hotels. Findings – The conceptual model explained a large part of variability in intentions to use IMT. Among several predictors, cognitive absorption was the stronger predictor of attitudes. The analysis also revealed the dimensions of cognitive absorption as a second-order factor in the context of mob...

[1]  Srikanth Beldona,et al.  The Adoption of Restaurant-Based E-Service , 2009 .

[2]  Dong Hee Shin,et al.  Determinants of customer acceptance of multi-service network: An implication for IP-based technologies , 2009, Inf. Manag..

[3]  Jiyeon Kim,et al.  Sensory enabling technology acceptance model (SE‐TAM): A multiple‐group structural model comparison , 2008 .

[4]  P. Bentler,et al.  Fit indices in covariance structure modeling : Sensitivity to underparameterized model misspecification , 1998 .

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

[6]  Dimitrios Buhalis,et al.  A hierarchical model of technology adoption for small owner-managed travel firms: An organizational decision-making and leadership perspective , 2012 .

[7]  Dimitrios Buhalis,et al.  Digital Divide in Tourism , 2010 .

[8]  Chang Liu,et al.  Determinants of accepting wireless mobile data services in China , 2008, Inf. Manag..

[9]  M. Browne,et al.  Alternative Ways of Assessing Model Fit , 1992 .

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

[11]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .

[12]  Alice M. Tybout,et al.  Designing Research for Application , 1981 .

[13]  Peter A. Todd,et al.  Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication , 1992, MIS Q..

[14]  Michael Y. Hu,et al.  Social Desirability Bias in Diary Panels is Evident in Panelists' Behavioral Frequency , 2006, Psychological reports.

[15]  Francisco Muñoz-Leiva,et al.  Web Acceptance Model (WAM): Moderating effects of user experience , 2007, Inf. Manag..

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

[17]  Gordon C. Bruner,et al.  Toward a unified theory of consumer acceptance technology , 2007 .

[18]  Chun-Yen Chen,et al.  Exploring the relationships between IT capabilities and information security management , 2011, Int. J. Technol. Manag..

[19]  Sheng Wu,et al.  Integrating perceived playfulness into expectation-confirmation model for web portal context , 2005, Inf. Manag..

[20]  J. Webster,et al.  Flow in Computer-Mediated Communication , 1992 .

[21]  C. Morosan Theoretical and Empirical Considerations of Guests’ Perceptions of Biometric Systems in Hotels , 2012 .

[22]  Elena Karahanna,et al.  Time Flies When You're Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage , 2000, MIS Q..

[23]  K. Mayer,et al.  Importance of Green Hotel Attributes to Business and Leisure Travelers , 2012 .

[24]  Jane Webster,et al.  Audience engagement in multimedia presentations , 1997, DATB.

[25]  C. Morosan,et al.  Disclosing personal information via hotel apps: A privacy calculus perspective ☆ , 2015 .

[26]  S. Deshpande,et al.  Task Characteristics and the Experience of Optimal Flow in Human—Computer Interaction , 1994 .

[27]  M. Csíkszentmihályi Flow: The Psychology of Optimal Experience , 1990 .

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

[29]  Ingoo Han,et al.  The impact of Web quality and playfulness on user acceptance of online retailing , 2007, Inf. Manag..

[30]  Srikanth Beldona,et al.  Importance-Performance Analysis of Guest Technologies in the Lodging Industry , 2007 .

[31]  Magid Igbaria,et al.  Information systems continuance intention of web-based applications customers: The case of online banking , 2008, Inf. Manag..

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

[33]  Harry Bouwman,et al.  An assessment of advanced mobile services acceptance: Contributions from TAM and diffusion theory models , 2008, Inf. Manag..

[34]  dkk Donald Ary Introduction to research in education , 1972 .

[35]  Viswanath Venkatesh,et al.  Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology , 2012, MIS Q..

[36]  Gary Hackbarth,et al.  Computer playfulness and anxiety: positive and negative mediators of the system experience effect on perceived ease of use , 2003, Inf. Manag..

[37]  Fred D. Davis,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1 , 1992 .

[38]  Vincent P. Magnini,et al.  Data mining for hotel firms: Use and limitations , 2003 .

[39]  S. Tanford International Journal of Hospitality Management the Impact of Tier Level on Attitudinal and Behavioral Loyalty of Hotel Reward Program Members , 2022 .

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

[41]  Younghwa Lee,et al.  An empirical investigation of anti-spyware software adoption: A multitheoretical perspective , 2008, Inf. Manag..

[42]  Jen-Her Wu,et al.  What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model , 2005, Inf. Manag..

[43]  F. DeMicco,et al.  To Be Secure or Not to Be , 2007 .

[44]  Thomas F. Stafford,et al.  Consumer acceptance of online auctions: An extension and revision of the TAM , 2008 .

[45]  M. DelVecchio,et al.  Introduction to research , 2010 .

[46]  Ritu Agarwal,et al.  A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology , 1998, Inf. Syst. Res..

[47]  Cristian Morosan,et al.  Understanding the Antecedents of Perceived Value of Registered Traveler Biometric Systems , 2012 .