A4 Refereed article in a conference publication
How Could a Social Network Analysis Boost an Evolutionary Ecosystem in Cultural Heritage Tourism?
Authors: Darko Dimitrovski, Arja Lemmetyinen, Lenita Nieminen
Editors: Arja Lemmetyinen, Lorenzo Cantoni, Katriina Siivonen
Conference name: Heritage, Tourism and Hospitality International Conference
Publishing place: Pori
Publication year: 2017
Book title : Proceedings of the Heritage, Tourism and Hospitality International Conference HTHIC 2017 September 27-29, 2017 Pori, Finland
Series title: Publication of Turku School of Economics, Pori Unit
Number in series: A55/2017
First page : 71
Last page: 76
Number of pages: 6
ISBN: 978-951-29-6925-8
ISSN: 1799-7070
Web address : https://heritagetourismhospitality.org/proceedings-hthic2017/
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/29142869
Cultural heritage has become a valuable
resource from which the themes and narratives essential to ‘place-making’ can
be derived by tying the physical assets, for example, buildings, and the living
culture together. In this research note we present our research
proposal answering the following research question: How could a social network
analysis (SNA) boost an evolutionary ecosystem in cultural heritage tourism? In
a longitudinal case study, we will identify the current formal and informal
ties of the stakeholders making it possible to assess their cohesiveness and
predict the future success of an ecosystem. Research using a combination of a
SNA and interactive network theories is scarce thus justifying our study. The
practical implications of the study are perceived to be significant.
Downloadable publication This is an electronic reprint of the original article. |  |
