E-Business Readiness, Intensity, and Impact: An Austrian Destination Management Organization Study

The majority of today’s information and communication technology (ICT) impact studies disregard infrastructural, organizational, and environmental factors typically responsible for successful e-business adoption and use. This article proposes an empirical approach that shows how the mentioned factor...

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Bibliographic Details
Published inJournal of travel research Vol. 49; no. 2; pp. 165 - 178
Main Authors Fuchs, Matthias, Höpken, Wolfram, Föger, Andreas, Kunz, Martin
Format Journal Article
LanguageEnglish
Published Los Angeles, CA SAGE Publications 01.05.2010
SAGE PUBLICATIONS, INC
Subjects
Business and economics
destination management organizations
Diffusion theory
e-business adoption
Ekonomi
Electronic commerce
Hospitality
ICT impact
Impact analysis
Information technology
Leisure
Management
Mathematical analysis
Mathematical models
On-line systems
Online
Organizations
SAMHÄLLSVETENSKAP
SEM
SOCIAL SCIENCES
Sport & Tourism
Studies
Technology adoption
technology diffusion
Tourism
Austria
destination management organizations
ICT impact
technology diffusion
SEM
e-business adoption
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Summary:The majority of today’s information and communication technology (ICT) impact studies disregard infrastructural, organizational, and environmental factors typically responsible for successful e-business adoption and use. This article proposes an empirical approach that shows how the mentioned factors determine both e-business adoption and the impact of information and communication technologies. The research framework is based on E. Rogers’ Innovation Diffusion Theory and is tested with survey data gathered in the Austrian destination management organization sector. By referring to K. Zhu and K. L. Kraemer’s (2005) e-business impact model, the proposed approach explicates how the use of e-business applications may positively affect the performance of tourism organizations. Online survey data are analyzed through a linear structural equation modeling approach.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0047-2875
1552-6763
1552-6763
DOI:10.1177/0047287509336469