Access the full text.
Sign up today, get DeepDyve free for 14 days.
Deborah Compeau, C. Higgins (1995)
Computer Self-Efficacy: Development of a Measure and Initial TestMIS Q., 19
I. Ajzen (1991)
The theory of planned behaviorOrganizational Behavior and Human Decision Processes, 50
Kim Kim, Cho Cho (2007)
Effects of social influence, task?technology fit and personal innovativeness in information technology on acceptance behavior of hotel information systemsJournal of Tourism Sciences, 31
Inge Klopping, E. McKinney (2004)
Extending the Technology Acceptance Model Extending the Technology Acceptance Model and the Task and the Task-Technology Fit Model to Technology Fit Model to Consumer E Consumer E- -Commerce Commerce
H. Lee, W. Kim, Yong-Ki Lee (2006)
Testing the Determinants of Computerized Reservation System Users’ Intention to Use Via a Structural Equation ModelJournal of Hospitality & Tourism Research, 30
V. Venkatesh, Fred Davis (2000)
A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field StudiesManagement Science, 46
T. Ferratt, G. Vlahos (1998)
An investigation of task-technology fit for managers in Greece and the USEuropean Journal of Information Systems, 7
Alter (2005)
Architecture of sysperanto: A model-based ontology of the IS fieldCommunications of the AIS, 15
Ritu Agarwal, V. Sambamurthy, R. Stair (2000)
Research Report: The Evolving Relationship Between General and Specific Computer Self-Efficacy - An Empirical AssessmentInf. Syst. Res., 11
Marilyn Gist, Catherine Schwoerer, B. Rosen (1989)
EFFECTS OF ALTERNATIVE TRAINING METHODS ON SELF-EFFICACY AND PERFORMANCE IN COMPUTER SOFTWARE TRAININGJournal of Applied Psychology, 74
A. Bandura (1977)
Self-efficacy: toward a unifying theory of behavioral change.Psychological review, 84 2
C. Ryan, Ulhas Rao (2008)
Holiday users of the Internet - ease of use, functionality and novelty.International Journal of Tourism Research, 10
Klopping Klopping, McKinney McKinney (2004)
Extending the technology acceptance model and the task?technology fit model to consumer e?commerceInformation Technology, Learning, and Performance Journal, 22
Steven Alter (2005)
Architecture of Sysperanto: A Model-Based Ontology of the IS FieldCommun. Assoc. Inf. Syst., 15
James Anderson, D. Gerbing (1988)
STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACHPsychological Bulletin, 103
T. Larsen, Anne Sørebø, Øystein Sørebø (2009)
The role of task-technology fit as users' motivation to continue information system useComput. Hum. Behav., 25
H. Chou, T. Wang (2000)
The influence of learning style and training method on self-efficacy and learning performance in WWW homepage design trainingInt. J. Inf. Manag., 20
Dimitrios Buhalis (1998)
Strategic use of information technologies in the tourism industryTourism Management, 19
T. Mitchell, H. Hopper, D. Daniels, J. George-Falvy, L. James (1994)
Predicting self-efficacy and performance during skill acquisitionJournal of Applied Psychology, 79
V. Venkatesh, Fred Davis (1996)
A Model of the Antecedents of Perceived Ease of Use: Development and Test†Decision Sciences, 27
Fred Davis (1985)
A technology acceptance model for empirically testing new end-user information systems : theory and results
C. Frayne, G. Latham (1987)
Application of social learning theory to employee self-management of attendanceJournal of Applied Psychology, 72
M. Yi, Yujong Hwang (2003)
Predicting the use of web-based information systems: self-efficacy, enjoyment, learning goal orientation, and the technology acceptance modelInt. J. Hum. Comput. Stud., 59
D. Goodhue, Barbara Klein, S. March (2000)
User evaluations of IS as surrogates for objective performanceInf. Manag., 38
V. Venkatesh, Michael Morris, G. Davis, Fred Davis (2003)
User Acceptance of Information Technology: Toward a Unified ViewInstitutions & Transition Economics: Microeconomic Issues eJournal
Osman Karatepe, Olusegun Olugbade (2009)
The effects of job and personal resources on hotel employees’ work engagementInternational Journal of Hospitality Management, 28
Ritu Agarwal, J. Prasad (1999)
Are Individual Differences Germane to the Acceptance of New Information TechnologiesDecision Sciences, 30
S. Ham, W. Kim, Seungwhan Jeong (2005)
Effect of information technology on performance in upscale hotelsInternational Journal of Hospitality Management, 24
Ritu Agarwal, J. Prasad (1997)
The Role of Innovation Characteristics and Perceived Voluntariness in the Acceptance of Information TechnologiesDecision Sciences, 28
K. Wöber, U. Gretzel (2000)
Tourism Managers’ Adoption of Marketing Decision Support SystemsJournal of Travel Research, 39
Mark Dishaw, D. Strong (1999)
Extending the technology acceptance model with task-technology fit constructsInf. Manag., 36
Alter (2003)
18 reasons why IT-reliant work systems should replace ?the IT artifact? as the core subject matter of the IS fieldCommunications of the AIS, 12
Steven Alter (2001)
Are the Fundamental Concepts of Information Systems Mostly About Work Systems?Commun. Assoc. Inf. Syst., 5
Venkatesh Venkatesh, Morris Morris, Davis Davis, Davis Davis (2003)
User acceptance of information technology: toward a unified viewMIS Quarterly, 27
Yi Yi, Hwang Hwang (2003)
Predicting the use of web?based information systems: self?efficacy, enjoyment, learning goal orientation, and the technology acceptance modelInternational Journal of Human‐Computer Studies, 59
D. Xanthopoulou, A. Bakker, E. Heuven, E. Demerouti, W. Schaufeli (2008)
Working in the sky: a diary study on work engagement among flight attendants.Journal of occupational health psychology, 13 4
R. Wood, A. Bandura (1989)
Impact of conceptions of ability on self-regulatory mechanisms and complex decision making.Journal of personality and social psychology, 56 3
T. Kim, Jae Lee, R. Law (2008)
An empirical examination of the acceptance behaviour of hotel front office systems: An extended technology acceptance modelTourism Management, 29
T. Lam, V. Cho, Hailin Qu (2007)
A study of hotel employee behavioral intentions towards adoption of information technologyInternational Journal of Hospitality Management, 26
Fred Davis, R. Bagozzi, P. Warshaw (1989)
User Acceptance of Computer Technology: A Comparison of Two Theoretical ModelsManagement Science, 35
C. Fornell, D. Larcker (1981)
Evaluating structural equation models with unobservable variables and measurement error.Journal of Marketing Research, 18
Hong-bumm Kim, T. Kim, S. Shin (2009)
Modeling roles of subjective norms and eTrust in customers' acceptance of airline B2C eCommerce websites.Tourism Management, 30
R. Cooper, R. Zmud (1990)
Information technology implementation research: a technological diffusion approachManagement Science, 36
Liao Liao, Palvia Palvia, Chen Chen (2009)
Information technology adoption behavior life cycle: toward a technology continuance theory (TCT)International Journal of Information Management, 29
June Lu, James Yao, Chun-Sheng Yu (2005)
Personal innovativeness, social influences and adoption of wireless Internet services via mobile technologyJ. Strateg. Inf. Syst., 14
Dennis Adams, R. Nelson, P. Todd (1992)
Perceived Usefulness, Ease of Use, and Usage of Information Technology: A ReplicationMIS Q., 16
A. Bandura (1982)
Self-efficacy mechanism in human agency.American Psychologist, 37
J. Martocchio, James Dulebohn (1994)
PERFORMANCE FEEDBACK EFFECTS IN TRAINING: THE ROLE OF PERCEIVED CONTROLLABILITYPersonnel Psychology, 47
Alter (2001)
Are the fundamental concepts of information systems mostly about work systems?Communications of the AIS, 5
Hyang-Jin Huh, T. Kim, R. Law (2009)
A comparison of competing theoretical models for understanding acceptance behavior of information systems in upscale hotelsInternational Journal of Hospitality Management, 28
Marilyn Gist (1989)
THE INFLUENCE OF TRAINING METHOD ON SELF‐EFFICACY AND IDEA GENERATION AMONG MANAGERSPersonnel Psychology, 42
Fornell Fornell, Larcker Larcker (1981)
Evaluating structural equation models with unobservable and measurement errorJournal of Marketing Research, 18
Heart Heart, Pliskin Pliskin, Schechtman Schechtman, Reichel Reichel (2001)
Information technology in the hospitality industry: the Israeli scene and beyondInformation Technology and Tourism, 4
Deborah Compeau, C. Higgins, S. Huff (1999)
Social Cognitive Theory and Individual Reactions to Computing Technology: A Longitudinal StudyMIS Q., 23
Luarn Luarn, Lin Lin (2005)
Toward an understanding of the behavioral intention to use mobile bankingComputers in Human Behavior, 21
Kieran Mathieson (1991)
Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned BehaviorInf. Syst. Res., 2
Fred Davis (1989)
Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information TechnologyMIS Q., 13
Deborah Compeau, C. Higgins (1991)
A Social Cognitive Theory Perspective On Individual Reactions To Computing Technology
Osman Karatepe, Orhan Uludağ, Ismet Menevis, Lejla Hadzimehmedagic, Lulu Baddar (2006)
The effects of selected individual characteristics on frontline employee performance and job satisfactionTourism Management, 27
Huh Huh, Kim Kim (2008)
Discrimination of comparative advantage CTM for predicting and understanding intention to use and usage behavior of HISJournal of Tourism Sciences, 32
A. Lin (2006)
The acceptance and use of a business-to-business information systemInt. J. Inf. Manag., 26
D. Goodhue, Ronald Thompson (1995)
Task-Technology Fit and Individual PerformanceMIS Q., 19
Shirley Taylor, P. Todd (1995)
Understanding Information Technology Usage: A Test of Competing ModelsInf. Syst. Res., 6
Fred Davis, R. Bagozzi, P. Warshaw (1992)
Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1Journal of Applied Social Psychology, 22
Ronald Thompson, C. Higgins, Jane Howell (1991)
Personal Computing: Toward a Conceptual Model of UtilizationMIS Q., 15
Tsipi Heart, N. Pliskin, E. Schechtman, A. Reichel (2001)
Information Technology in the Hospitality Industry: The Israeli Scene and BeyondJ. Inf. Technol. Tour., 4
Steven Alter (2003)
18 Reasons Why IT-Reliant Work Systems Should Replace "The IT Artifact" as the Core Subject Matter of the IS FieldCommun. Assoc. Inf. Syst., 12
Carol Brown, I. Vessey (2000)
Nibco's "Big Bang"
Dae-Young Kim, Jungkun Park, A. Morrison (2008)
A Model of Traveller Acceptance of Mobile TechnologyInternational Journal of Tourism Research, 10
The purpose of this study was to examine the relationship between hotel information system (HIS) users' personal perceptions and beliefs of the given system and their daily routine usage intention via the technology acceptance model (TAM), considering the two external variables (motivational variables) of the model — ‘task‐technology fit’ (extrinsic motivation; system feature) and ‘self‐efficacy’ (intrinsic motivation; personal feature). Data were collected from hotel employees of 13 upscale hotels in Jeju, South Korea, and path analysis was utilised to test structural model and hypotheses. The results provided empirical support for an extended TAM, and verified its robustness in predicting hotel employees' intention to use a HIS. Copyright © 2010 John Wiley & Sons, Ltd.
International Journal of Tourism Research – Wiley
Published: Nov 1, 2010
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.