• 主题
高级搜索  >
历史搜索 清空历史
首页> 美国卫生研究院文献>other >Social Network Analysis and Qualitative Interviews for Assessing Geographic Characteristics of Tourism Business Networks
【2h】

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

机译：评估旅游业网络地理特征的社会网络分析和质性访谈

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

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.
机译：这项研究整合了定量社会网络分析（SNA）和定性访谈，以通过分析空间特征来了解偏僻社区的旅游业务链接。使用两个案例研究，即瑞士阿尔卑斯山的Surselva-Gotthard地区和斯瓦尔巴群岛的北极群岛的Longyearbyen，测试物理上的接近，孤立和狭小的空间特征，以了解旅游业的业务联系。在较大的Surselva-Gotthard地区，我们发现在协作网络的分区化过程中，三个社区的地理隔离之间存在密切的关系。一小部分企业在指导该社区的协作决策中起着核心作用，而一群结构上“外围”的参与者的影响力则较小。相比之下，斯瓦尔巴特群岛的商业社区则显示出分隔区，而分隔区与参与者之间的地理距离无关。在具有类似规模和治理规模的城镇中，斯瓦尔巴特群岛更加分隔开来，而这些分隔间并不是由协作集群的地理隔离所驱动。与阿尔卑斯山社区相比，斯瓦尔巴特群岛的这种分隔体现在正式商业合作关系的密度较低。我们推断，差异是由于斯瓦尔巴群岛的文化多样性和人口流动性高于阿尔卑斯山社区。我们建议将简单调查中的定量网络分析与网络结果中针对性的定性访谈相结合，是一种有效的通用方法，可以确定区域特定的约束条件和有效治理的机会。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号