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The purpose of this paper is to reveal those attributes of owners and managers that influence knowledge flows between owners and managers in a tourism destination network. The research question relates to whether homogeneity and/or heterogeneity attributes of the owners and managers are associated with the flow of information within a knowledge network.

Owners and managers of tourism and hospitality businesses in the Bournemouth, Poole and Christchurch conurbation were surveyed regarding their receipt of information from each other. Social network analysis (SNA) was applied to understand how job position, type of business, gender and education attributes influence the information flows within a knowledge network.

It was revealed that the ties or flows of information were influenced through the heterogeneity of the type of education attribute of a business owner or manager. Other attributes such as type of business, job position or gender were not associated with the receipt of information.

The contribution of the paper relates to increasing the understanding of an underlying attribute that influences information flows between owners and managers of tourism and hospitality businesses within a tourism destination.

The paper contributes to the understanding of a heterogeneous attribute that influences the flow of information within a tourism destination network.

This paper aims to provide a contemporary review of the field of tourism and knowledge management.

The review draws upon an extensive range of generic knowledge management literature as well as the rather less developed literature on tourism and knowledge management.

The review finds that tourism has been slow to adopt a knowledge management approach, partly due to the context of the tourism sector. However, by taking a “network gaze”, this paper shows that the benefits of knowledge management for tourism are clear and that policy for knowledge management can be of benefit to tourism.

This paper provides a contemporary review of the knowledge management literature and situates it within the tourism context.

This chapter assesses the current research on knowledge management and adds insights from an Australian example. Knowledge management is critical to successful innovation in tourism products. It is an important tool for creating successful regional organizations and ensuring competitive destinations. This chapter explores the barriers to participation in regional knowledge management networks. Topics covered include knowledge management applied in tourism settings, knowledge clusters and regional partnerships, and knowledge transfer processes, including the value of new technologies. A detailed case study of an attempt to build a knowledge network in Australia is described and generic insights noted.

The purpose of this study is to provide a synthesis of the state of research on collaborative innovation in tourism and hospitality. It presents a systematic review of the academic literature, and provides insights into the specific issues addressed by studies in this area.

A search of major research databases with multiple keywords was performed to identify relevant articles up to 2017. A total of 79 articles were identified and analyzed according to the following criteria: location of the study, perspective of analysis, methodology, level of analysis and specific themes addressed.

Based on a qualitative thematic analysis, five groups of articles were identified: cooperative behavior of innovating firms, co-creation, collaborative networks for innovation, knowledge transfer and innovation policies.

This study contributes to making the current body of knowledge on collaborative innovation in tourism and hospitality more organized. The analysis of the different issues addressed by the literature could build the foundation for future research.

This study presents a comprehensive review of literature on collaborative innovation in tourism and hospitality. It can serve as a roadmap of literature for both academicians and practitioners, and help stimulate further interest.

The purpose of this paper is to examine the antecedents of entrepreneurial opportunity recognition.

Questionnaire data were collected from 220 senior tourism business members in Iran.

The results show that an individual’s self-efficacy, prior knowledge and social networks, all had positive effects on entrepreneurial alertness. Also, entrepreneurial alertness contributed significantly to entrepreneurial opportunity recognition.

The findings show that social network was the most important predictor among all other of the antecedents of entrepreneurial opportunity recognition. Because the data were limited to tourism industry, future studies need to validate these findings in other industries.

Findings of this study suggest that to increase entrepreneurial opportunity recognition ability, it is critical for tourism businesses to invest in developing and enhancing individual ability.

The value of this paper lies in its contribution to understanding better the predictors to become entrepreneurs in tourism. Particularly, the paper adds to the existing literature by showing that the key success factors for entrepreneurial alertness are individual abilities, especially individual social contacts. People who want to work in the tourism industry should promote own communication network with other businesses and people to find new entrepreneurial opportunities. It is better they work in areas that have enough prior knowledge and experiences.

Taking stock of extant hospitality and tourism research using social network analysis approaches, this study highlights why using either quantitative or qualitative approaches to examine social networks can be misleading and generate potentially biased findings. Indeed, purely qualitative and purely quantitative studies display limitations. The purpose of this study is to provide methodological insights by suggesting that mixed methods can be suitably used, depending on the specific research questions.

The study consists of an analysis and critical discussion of the methods used in a number of papers leveraging social network approaches to study social networks in tourism and hospitality. The authors describe the benefits and limitations of each method studies considered are examined based on a number of aspects.

More than half of the studies classified as network studies adopt quantitative designs and quantitative methods including statistical analyses and observational data. Mixed methods study is a minority and they are almost never labeled as mixed methods. A relevant portion of qualitative studies increasingly embeds a number of rudimentary statistical analyses. With an example, the authors also discuss that purely quantitative or purely qualitative methods can lead to discrepant results, and thus, the authors encourage scholars to embrace mixed method research designs such as explanatory or exploratory sequential designs. Advanced researchers might attempt in the future to embrace transformative, embedded or multiphase mixed methods.

This study is based on academic papers and research published before 2019. A rich research agenda is designed.

This study contributes to explore the way social networks have been dealt with in tourism and hospitality research so far, by advancing a proposal to adopt mixed methods in the form of explanatory or exploratory sequential designs. To the best of the knowledge, it is the first study addressing methodological pitfalls in extant network-based research within the tourism and hospitality domain.

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.

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.

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.

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.

The aim of this paper is to provide a critical analysis of the main literature contributions that concern smart tourism development and management, highlighting gaps and logical inconsistencies. In addition, to further stress the importance of the issues at stake, a simulation is performed for showing how technology allows achieving better outcomes when a certain level of efficiency is obtained via re-engineering of main organizational and operational processes.

A content analysis of recent relevant literature is performed with the help of machine learning topic modelling algorithms. A network analytic approach to digital ecosystems, then, is used to study the relationship between technological tools and physical entities in a destination and how these and their combination affect the efficiency of the system at local and global levels.

The literature analyzed lacks a good discussion on the necessity to improve and rationalize the operational and organizational processes while emphasizing mostly the technological aspects. On the other hand, the simulation case presented shows that if information and knowledge flows are reasonably efficient and well organized in the physical world, the integration of digital components further enhances these processes, whereas inefficiencies can hinder the flow of information and reduce its efficiency.

Apart from the methods used, relatively little explored, the authors show that, as also much of the computer science literature states, a fundamental prerequisite for successful “smart” projects is a logical and effective restructuring of the main operational and organizational processes.

本论文旨在分析关于智慧旅游发展和管理话题的主要文献, 指出文献缺口和逻辑矛盾。此外, 为了进一步指出这个话题的重要性, 本论文运行了一个模拟程序, 以证明科技如何帮助冲破瓶颈达到新的高峰, 通过重组重要组织和流程管理。

本论文采用内容分析法, 并借助机器学习建模程序。本论文采用电子生态环境的网络分析方法来研究科技工具与实体设备在旅游目的地中的关联, 以及如何这些设备资源能够融合在区域和全球范围内提高系统效率。

文献分析结果表明, 大部分文章都着重强调科技方面, 而忽略了运营和组织流程的改进。此外, 本论文展示的模拟案件表明如果信息和知识流在实体世界中有效的利用和管理, 那么与电子软配件的结合就会更加相得益彰, 相反, 如果未达到有效结合, 那么将阻碍信息流和降低效率。

除去本文利用的研究方法相对很少学者涉及, 正如计算机科学文献所说, 本论文证实了成功的“智能”项目所需要的前提条件是主要运营和管理流程的逻辑有效的重组。

The purpose of this paper is to provide an overview of how quantitative analysis methods have been and can be used to improve the competitiveness of tourism destination. The focus of the study is social network analysis (SNA).

The research methodology is qualitative and consists of the review literature relevant to this thesis. This methodology is necessary to give an account of the methods and the techniques adopted for the data collection used in other economic sectors.

SNA is needed to analyze the creation and configuration of communities of practice within destination and to identify possible barriers to effective interaction. Essentially, it is a complex adaptive socio-economic system. It shares many (if not all) of the characteristics usually associated with such entities, namely, non-linear relationships among the components, self-organization and emergence of organizational structures, robustness to external shocks.

The most important limit of this paper is that all the results presented here do not concern a single case study. Future research studies will provide a larger number of cases and examples to give the necessary validation to the findings presented here.

This paper provides a view into the network of relationships that may give tourism organization managers a strong leverage to improve the flow of information and to target opportunities where this flow may have the most impact on regulatory or business activities.

SNA can help to detect actual expertise and consequently project the potential losses deriving from an inefficient flow of knowledge. In addition, the authors will be able to define roles in the organizational networks and make an evaluation of informal organizational structures over the formal ones. Traditional organizational theories lack a concrete correspondence with mathematical studies and in this respect the authors sought to identify a correspondence.