旅游目的地的知识转移：网络结构的影响
Knowledge transfer in a tourism destination: the effects of a network structure
摘要：
旅游目的地有必要进行创新，以便在日益全球化的环境中保持竞争力。创新的一个先决条件是了解目的地如何获取、分享和使用知识。这份概念性文件探讨了网络的性质，以及对网络的分析如何能够揭示目的地在努力创新时的知识共享过程。本文将目的地概念化为相互连接的公共和私人组织网络，每个组织都可以被视为目的地利益相关者。在网络理论中，它们代表系统中的节点。本文展示了如何流行病扩散模型可以作为一个类比的知识交流和转移的目的地网络。这些模型可以与其他网络分析方法相结合，以揭示目的地网络如何运作，以及如何通过政策干预优化目的地网络，以提供创新和有竞争力的目的地。最后，本文以意大利厄尔巴岛旅游目的地为例。使用数值模拟的情况下，演示了如何Elba网络可以优化。总的来说，本文展示了相当大的效用，网络分析旅游业在提供目的地竞争力。
英文摘要：
Tourism destinations have a necessity to innovate to remain competitive in an increasingly global environment. A pre-requisite for innovation is the understanding of how destinations source, share and use knowledge. This conceptual paper examines the nature of networks and how their analysis can shed light upon the processes of knowledge sharing in destinations as they strive to innovate. The paper conceptualizes destinations as networks of connected organizations, both public and private, each of which can be considered as a destination stakeholder. In network theory they represent the nodes within the system. The paper shows how epidemic diffusion models can act as an analogy for knowledge communication and transfer within a destination network. These models can be combined with other approaches to network analysis to shed light on how destination networks operate, and how they can be optimized with policy intervention to deliver innovative and competitive destinations. The paper closes with a practical tourism example taken from the Italian destination of Elba. Using numerical simulations the case demonstrates how the Elba network can be optimized. Overall this paper demonstrates the considerable utility of network analysis for tourism in delivering destination competitiveness.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
