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On the strategic management of an events portfolio to extend tourists’ length of stay: a LASSO approach

Brian Garrod Orcid Logo, António Almeida

Current Issues in Tourism, Pages: 1 - 18

Swansea University Author: Brian Garrod Orcid Logo

  • Accepted Manuscript under embargo until: 4th June 2023

Abstract

Tourism destinations are increasingly recognising the potential for additional benefits to be captured by managing their events as a strategic portfolio. By identifying and exploiting relatedness between key event variables, otherwise inaccessible benefits can be cross-leveraged from the portfolio a...

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Published in: Current Issues in Tourism
ISSN: 1368-3500 1747-7603
Published: Oxford Informa UK Limited 2021
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa58700
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Abstract: Tourism destinations are increasingly recognising the potential for additional benefits to be captured by managing their events as a strategic portfolio. By identifying and exploiting relatedness between key event variables, otherwise inaccessible benefits can be cross-leveraged from the portfolio as a whole. Developing a methodology for putting such a strategy into practice has, however, thus far eluded researchers. Indeed, the empirical research has thus far focused almost entirely on single events, considered in isolation. The purpose of this study is, therefore, to propose and test a parsimonious method for determining relatedness in the determinants of length of stay across a portfolio of events. This involves using sparse regression, based on the LASSO approach, using data from an event portfolio in Madeira. The LASSO method can be considered particularly advantageous because it produces results that are easily interpretable by event managers and are thus able to inform marketing strategies. The results from Madeira illustrate this by identifying four areas of close relatedness that could be cross-leveraged through the co-ordinated strategic marketing of the portfolio at the destination level. The approach uses readily obtainable data and, as such, represents a practical tool for event portfolio management that can readily be applied elsewhere
Keywords: event; length of stay; portfolio, sparse regression; strategy; synergy
College: School of Management
Funders: None
Start Page: 1
End Page: 18