University of Tasmania
Browse

File(s) under permanent embargo

Enhancing knowledge transfer in tourism: an Elaboration Likelihood Model approach

It has been widely recognised that knowledge transfer between tourism academics and the tourism industry is inefficient and ineffective. This research responds to this challenge by applying the Elaboration Likelihood Model (ELM) as a framework to guide the design of knowledge transfer in tourism, from the early design of research through to the delivery of the data. The ELM model posits that messages can influence behaviour via both peripheral and central cues, yet surprisingly has scarcely been applied to knowledge transfer literature. The paper argues that new technology enables innovative, usable and credible visualisation of tourism data, thus maximising the opportunity to apply principles of ELM and ultimately the transfer of knowledge to an array of tourism stakeholders from different backgrounds. In doing so, it presents an opportunity to depart from traditional reporting formats, and as such, enhances the uptake of academic tourism research by the tourism industry.

History

Publication title

Journal of Hospitality and Tourism Management

Volume

37

Pagination

33-41

ISSN

1447-6770

Department/School

TSBE

Publisher

Elsevier Ltd

Place of publication

United Kingdom

Rights statement

© 2018 Published by Elsevier Ltd on behalf of CAUTHE - COUNCIL FOR AUSTRALASIAN TOURISM AND HOSPITALITY EDUCATION

Repository Status

  • Restricted

Socio-economic Objectives

Socio-cultural issues in tourism; Tourism services not elsewhere classified

Usage metrics

    University Of Tasmania

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC