scholarly journals Inquiring Structure and Forms of Collaboration in Tourism through Social Network Analysis

2020 ◽  
Vol 12 (19) ◽  
pp. 8161
Author(s):  
Alexandra Cehan ◽  
Mihail Eva ◽  
Corneliu Iațu ◽  
Carlos Costa
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Eastern European ◽  
Tourist Destination ◽  
Relational Dynamics ◽  
Public And Private ◽  
Tourist Destinations ◽  
Management Perspective ◽  
Tourism Destinations

Collaboration in tourism is widely perceived as a solution for achieving success and for ensuring sustainability in tourist destinations. However, collaboration is a complex and dynamic process, and although there is a growing interest in understanding its mechanisms, much remains unexplored on the matter. The aim of this paper is to operationalise a network approach in analysing characteristics of collaboration in tourism and then to reveal structural weaknesses and strengths from a destination management perspective. The background for analysis is a well-known tourist destination in Romania (Vatra Dornei) that can be considered illustrative for a large spectrum of Eastern European destinations. Methodologically, Social Network Analysis (SNA) techniques were employed, centred on matters related to density and centrality of the tourism network. The results reveal a series of deficiencies inside the network, which have to be addressed by policymakers: (i) a general low level of collaboration; (ii) poor communication between public and private sectors; (iii) a reduced number of central stakeholders but high diversity regarding their fields of activity. The study contributes to the literature by advancing knowledge on particularities of collaboration among tourism stakeholders, while also adding evidence to the utility of SNA in understanding relational dynamics specific to tourism destinations.

Application of Social Network Analysis to Major Petrochemical Accident: Interorganizational Collaboration Perspective

2020 ◽  
pp. 1-8
Author(s):  
Marzieh Abbassinia ◽  
Omid Kalatpour ◽  
Majid Motamedzade ◽  
Alireza Soltanian ◽  
Iraj Mohammadfam
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Crisis Management ◽  
Interorganizational Relationships ◽  
Fire Department ◽  
Provincial Government ◽  
Public And Private ◽  
Governmental Organizations ◽  
Non Governmental Organizations

ABSTRACT Objective: Crisis management in major accidents requires the collaboration among different organizations. One of the most important problems of crisis management is the lack of coordination between executive organizations. The aim of this study was to examine the structural characters and problems of interorganizational network during crisis in the petrochemical industry and provide solutions to achieve the highest performance in crisis management. Methods: The organizations involved in crisis management were identified through interviews and questionnaires. Gephi (0.9.1) software was used to examine interorganizational relationships. Results: In this study, the crisis management team consisted of 25 public and private organizations and non-governmental organizations. The highest betweenness centrality was observed in Crisis Management of Provincial Government (CMPG) (142.16) and Fire Department of Petrochemical Complex (FDC) (89.3). The highest closeness centrality was observed in FDC (0.77), CMPG (0.7), Shazand Governorate (0.7), and Crisis Management of University of Medical Sciences (0.7). Conclusions: Coordination between organizations plays an important role in crisis and emergency management, and social network analysis helps identify strengths and weaknesses of organizations involved in crisis management, overcome those weaknesses, and consequently achieve the best performance in crisis management.

scholarly journals Jesus’s Social Network and the Four Gospels: Exploring the Relational Dynamics of the Gospels Using Social Network Analysis

2020 ◽  
Vol 50 (1) ◽  
pp. 35-53
Author(s):  
Jennifer M. McClure
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Structural Dynamics ◽  
Relational Dynamics ◽  
Relational Structures ◽  
Network Analyses

Building on recent studies of Jesus’s social network, this article seeks to explore how the relational dynamics surrounding Jesus’s life and ministry are depicted differently in the canonical Gospels. Using different perspectives and methods than those usually employed by biblical scholars, the network analyses provide rich illustrations and descriptions of structural dynamics that have not traditionally been the focus of Gospel scholarship. Analyses examine the extent to which the Gospels’ social networks overlap, as well as differences in levels of relational prominence and in relational structures across the Gospels. The results provide a unique window into the relational dynamics portrayed by the Gospels, producing a variety of insights, some which may not surprise biblical scholars but others which hopefully will inspire further consideration.

Filling structural holes? Guanxi-based facilitation of knowledge sharing within a destination network

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jiayuan Liu ◽  
Jianzhou Yan
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Knowledge Sharing ◽  
Design Methodology ◽  
Network Structures ◽  
Structured Interviews ◽  
Tourist Destination ◽  
Structural Holes ◽  
Content Type

PurposeThis study examines the relationships between structural holes, guanxi and knowledge sharing among groups of stakeholders within a Chinese destination network.Design/methodology/approachThis study conducted surveys, social network analysis and semi-structured interviews to gather data from the stakeholders of a popular Chinese tourist destination to test its hypotheses.FindingsKnowledge sharing within the destination network was impeded by structural holes but facilitated by guanxi. Furthermore, the impeding effect of structural holes on knowledge sharing is alleviated by guanxi.Originality/valueThis study illustrates the ways that stakeholders exploit structural holes and guanxi to promote knowledge sharing, and thus offers novel insights into how destination network structures affect the efficacy of stakeholders when it comes to sharing knowledge and promoting their destination.

Network Analysis of Destination Management Organization Smart Tourism Ecosystem (STE) for E-Branding and Marketing of Tourism Destinations

2020 ◽  
pp. 1-16
Author(s):  
Jeet Dogra ◽  
Sachin Shivaji Kale
Keyword(s):  
Social Network ◽  
Network Analysis ◽  
Target Market ◽  
Media Campaigns ◽  
Tourist Destinations ◽  
The Social ◽  
Drastic Increase ◽  
Tourism Destinations ◽  
Destination Management Organizations ◽  
Smart Tourism

In the current decade, there is a drastic increase in the active social network users which simultaneously raised the interest of destination management organizations (DMOs) to increase their e-visibility on social network sites (SNS), specifically to promote their tourism destinations. The main aim of DMOs is to reach the target market and create a brand image of the destination to increase the tourist footfalls. The purpose of this chapter will be to analyze the utilization of Instagram as a network of smart tourism ecosystem by state tourism boards in India. The network analysis will be done between state tourism boards by using UCINET 6 which is a software package developed for social network analysis. This chapter will give an insight into the Instagram account used by states tourism boards for the promotion of their respective tourist destinations. The findings of the study will help to improve the utilization of SNS for online content creations, managing the social media campaigns, marketing, branding and promotions of tourism destinations.

scholarly journals Social Network Analysis (SNA) applied to current issues. Guidelines for its implementation in research and management projects

AWARI ◽  
2020 ◽  
Vol 1 (2) ◽  
Author(s):  
Laura Teves ◽  
Jorge Julián Cueto
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Professional Training ◽  
Research Work ◽  
Model Approximation ◽  
Public And Private ◽  
Relational Approach ◽  
Training Courses ◽  
Development And Management

Social Network Analysis (SNA) has become the most demanded relational approach in the field of basic science and applied science in the last 20 years. Researchers and professionals from traditional social, natural, and exact disciplines agree on the interest in what some identify as the paradigm across the field of traditional sciences problems. While SNA deepens and grows in its developments, analysis, and tools, the demand for courses of graduate and postgraduate academic training increases; as well as the instances of professional updating in both public and private development and management sectors. Based on the supposition that both sectors are related with research work trajectories rooted in institutional and current issues, in this work we aim to present the basic guidelines of our strategies for putting together courses about SNA. Considering three levels based on epistemological, methodological, and transference criteria for the resolution of problems, we propose five lines to be taken into consideration in order to know, develop and apply relational research. The procedures for the design of tools that will allow the collection and construction of databases or the identification of appropriate information for a study of SNA. The analytical path must be explained both in its complexity of combined methods and in the strategies for the identification of patterns as well as the construction of models. Finally, the problems and study frameworks, the research procedures, and the transference instances can be controlled and assessed by testing results and model approximation. Academic and professional training courses provide tools for the appreciation of SNA conceptual fields together with the approximation and delimitation of feasible empiric problems to be studied by SNA.

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