UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Social Network Analysis and Qualitative Interviews for Assessing Geographic Characteristics of Tourism Business Networks

Kelman, I; Luthe, T; Wyss, R; Tørnblad, SH; Evers, Y; Curran, MM; Williams, RJ; (2016) Social Network Analysis and Qualitative Interviews for Assessing Geographic Characteristics of Tourism Business Networks. PLoS One , 11 (6) , Article e0156028. 10.1371/journal.pone.0156028. Green open access

[thumbnail of Kelman et al 2016 Social Network Analysis and Qualitative Interviews for Assessing Geographic Characteristics of Tourism Business Networks.PDF]
Preview
Text
Kelman et al 2016 Social Network Analysis and Qualitative Interviews for Assessing Geographic Characteristics of Tourism Business Networks.PDF

Download (1MB) | Preview

Abstract

This study integrates quantitative social network analysis (SNA) and qualitative interviews for understanding tourism business links in isolated communities through analysing spatial characteristics. Two case studies are used, the Surselva-Gotthard region in the Swiss Alps and Longyearbyen in the Arctic archipelago of Svalbard, to test the spatial characteristics of physical proximity, isolation, and smallness for understanding tourism business links. In the larger Surselva-Gotthard region, we found a strong relationship between geographic separation of the three communities on compartmentalization of the collaboration network. A small set of businesses played a central role in steering collaborative decisions for this community, while a group of structurally 'peripheral' actors were less influential. By contrast, the business community in Svalbard showed compartmentalization that was independent of geographic distance between actors. Within towns of similar size and governance scale, Svalbard is more compartmentalized, and those compartments are not driven by geographic separation of the collaboration clusters. This compartmentalization in Svalbard was reflected in a lower density of formal business collaboration ties compared to the communities of the Alps. We infer that the difference is due to Svalbard having higher cultural diversity and population turnover than the Alps communities. We propose that integrating quantitative network analysis from simple surveys with qualitative interviews targeted from the network results is an efficient general approach to identify regionally specific constraints and opportunities for effective governance.

Type: Article
Title: Social Network Analysis and Qualitative Interviews for Assessing Geographic Characteristics of Tourism Business Networks
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1371/journal.pone.0156028
Publisher version: http://dx.doi.org/10.1371/journal.pone.0156028
Language: English
Additional information: Copyright: © 2016 Kelman et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Inst for Risk and Disaster Reduction
URI: https://discovery.ucl.ac.uk/id/eprint/1498719
Downloads since deposit
111Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item