Networking for Small Island Destinations — The Case of Elba

Pechlaner, Harald; Tallinucci, Valeria; Abfalter, Dagmar; Rienzner, Hubert

doi:10.1007/978-3-7091-6027-5_12

Cited by 10 publications

(12 citation statements)

References 4 publications

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“…These conditions are also problematic for an efficient flow of information and knowledge through the social system, and this may affect its capabilities for innovation and future competitiveness. These considerations are in general agreement with previous studies performed by using more traditional qualitative techniques [10,26].…”

Section: The Tourism Destination Networksupporting

confidence: 92%

“…The size of the company or organization matters, as larger entities tend to be more active than the smaller ones. This picture is in full agreement of what is known of the behaviors of tourism operators in the destination (see for example [10] or [26]). However, the identification of the specific trends exhibited by each type of company only became clearer through the superedges integration of the structural and dynamical features.…”

Section: Superedges Analysis Of the Elba Tourism Networksupporting

confidence: 89%

“…A comparison, and the substantial similarity, of the outcomes with previous knowledge of the relationships among the tourism companies located at Elba stakeholders [10,26] substantiates the effectiveness of our approach and results.…”

Section: Discussionsupporting

confidence: 72%

“…The great majority of the stakeholders are small and medium sized companies, mostly family-run. Several associations and consortia operate on the island and try to recommend and develop different types of collaboration programs in an attempt to overcome the excessive 'independence' of the local companies [10,26]. The destination network was built in the following way.…”

Section: The Tourism Destination Networkmentioning

confidence: 99%

See 3 more Smart Citations

The web of connections between tourism companies: Structure and dynamics

Costa

Baggio

2009

Physica A: Statistical Mechanics and its Applications

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Tourism destination networks are amongst the most complex dynamical systems, involving a myriad of human-made and natural resources. In this work we report a complex network-based systematic analysis of the Elba (Italy) tourism destination network, including the characterization of its structure in terms of a set of several traditional measurements, the investigation of its modularity, as well as its comprehensive study in terms of the recently reported superedges approach. In particular, structural (the number of paths of distinct lengths between pairs of nodes, as well as the number of reachable companies) and dynamical features (transition probabilities and the inward/outward activations and accessibilities) are measured and analyzed, leading to a series of important findings related to the interactions between tourism companies. Among the several reported results, it is shown that the type and size of the companies influence strongly their respective activations and accessibilities, while their geographical position does not seem to matter. It is also shown that the Elba tourism network is largely fragmented and heterogeneous, so that it could benefit from increased integration.

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Section: The Tourism Destination Networksupporting

confidence: 92%

Section: Superedges Analysis Of the Elba Tourism Networksupporting

confidence: 89%

Section: Discussionsupporting

confidence: 72%

Section: The Tourism Destination Networkmentioning

confidence: 99%

See 2 more Smart Citations

The web of connections between tourism companies: Structure and dynamics

Costa

Baggio

2009

Physica A: Statistical Mechanics and its Applications

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show abstract

“…The organizations operating on the island are mainly small and medium family-run businesses. A lack of cooperation and an excessive 'independence' of the Elban tourism stakeholders is a problem highlighted by several studies (Pechlaner, Tallinucci, Abfalter and Rienzner 2003;Tallinucci and Testa 2006).…”

Section: A Case Study: a Tourism Destinationmentioning

confidence: 99%

Network science and e-tourism

Baggio

Fuchs

2018

Inf Technol Tourism

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This paper presents a review of the methods of the science of networks with an application to the field of tourism studies. The basic definitions and computational techniques are described and a case study (Elba, Italy) used to illustrate the effect of network typology on information diffusion. A static structural characterization of the network formed by destination stakeholders is derived from stakeholder interviews and website link analysis. This is followed by a dynamic analysis of the information diffusion process within the destination demonstrating that stakeholder cohesion and adaptive capacity have a positive effect on information diffusion. The outcomes and the implications of this analysis for improving destination management are discussed.

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Knowledge transfer in a tourism destination: the effects of a network structure

Baggio¹,

Cooper²

2010

The Service Industries Journal

262

135

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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.

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Networking for Small Island Destinations — The Case of Elba

Cited by 10 publications

References 4 publications

The web of connections between tourism companies: Structure and dynamics

The web of connections between tourism companies: Structure and dynamics

Network science and e-tourism

Knowledge transfer in a tourism destination: the effects of a network structure

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