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Network science and sustainable performance of family businesses in tourism
Journal of Family Business Management ( IF 3.6 ) Pub Date : 2020-11-10 , DOI: 10.1108/jfbm-06-2020-0048
Rodolfo Baggio 1 , Marco Valeri 2
Affiliation  

Purpose

There is a little appreciation for the role network science can play in sustainable tourism, and it is not quite clear to what extent generic models from the tourism network analysis literature are applicable. In the international management literature, then, few significant studies exist that deal with the effects of network structures on the sustainable performance of tourism family businesses. This research analyzes these issues and discusses the state of the art of this area.

Design/methodology/approach

Based on a scrutiny of the literature conducted on research papers published in the last twenty years, this analysis focuses on the relation between network analysis methods and sustainable performance within the tourism family business domain. The paper uses a limited set of keywords, restricting the selection to tourism and hospitality works on sustainability. A qualitative content analysis is performed.

Findings

The results suggest a critical reflection on how the methods of network science can be profitably and advantageously used for supporting a sustainable performance of family businesses in tourism.

Originality/value

The paper contains a critical consideration on the potential drivers and drawbacks of the relationship between sustainability and networking in tourism and highlights some managerial implications. The analysis closes with some suggestions and indications for future research work.



中文翻译:

旅游家族企业的网络科学与可持续绩效

目的

人们对网络科学在可持续旅游中的作用有一点了解,而且尚不清楚旅游网络分析文献中的通用模型在多大程度上适用。因此,在国际管理文献中,很少有重要的研究涉及网络结构对旅游家族企业可持续绩效的影响。本研究分析了这些问题并讨论了该领域的最新技术。

设计/方法/方法

基于对过去 20 年发表的研究论文的文献审查,本分析侧重于网络分析方法与旅游家族企业领域内可持续绩效之间的关系。该论文使用了一组有限的关键词,将选择范围限制在旅游业和酒店业的可持续性方面。进行定性内容分析。

发现

结果表明,对网络科学方法如何能够有利地用于支持家族企业在旅游业的可持续表现进行了批判性思考。

原创性/价值

该文件对旅游业可持续性和网络之间关系的潜在驱动因素和缺点进行了批判性考虑,并强调了一些管理影响。分析结束时对未来的研究工作提出了一些建议和指示。

更新日期:2020-11-10
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