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The complexity of the tourism supply chain in the 21st century: a bibliometric analysis

Romina Alkier (Department of Tourism, Faculty of Tourism and Hospitality Management, University of Rijeka, Opatija, Croatia)
Vedran Milojica (PAR University College Rijeka, Rijeka, Croatia) (Faculty of Tourism and Hospitality Management Opatija, University of Rijeka, Rijeka, Croatia)
Vasja Roblek (Faculty of Organisation Studies in Novo Mesto, Novo Mesto, Slovenia)

Kybernetes

ISSN: 0368-492X

Article publication date: 2 August 2022

178

Abstract

Purpose

This study aims to examine the evolution of the tourism supply chain (TSC) and its future development factors. To this end, a quantitative bibliometric analysis was conducted to provide insights from a statistical perspective, including the evolution of the TSC and an outlook on current characteristics and future research trends.

Design/methodology/approach

This paper presents a quantitative bibliometric study of selected papers on the Web of Science. The study of the evolution of the TSC is based on analyses of bibliographic coupling and co-occurrence of keywords.

Findings

Bibliographic coupling analysis identified 10 clusters defined by coherent groups of theoretical perspectives. The keyword analysis explains the occurrences in the TSC concept. It also helps to determine the future main drivers of TSC research. In the post-COVID-19 era, the tourism industry needs to focus on green transformation and new technologies to transform TSC, supply chain management and B2B relationships. It also needs to ensure employee retention and policies to attract new talent.

Originality/value

This study provides a comprehensive, objective and integrative overview of the evolution of TSC. It is one of the few original works on supply chain development and will be helpful for scholars and practitioners alike to understand the subject.

Keywords

Citation

Alkier, R., Milojica, V. and Roblek, V. (2022), "The complexity of the tourism supply chain in the 21st century: a bibliometric analysis", Kybernetes, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/K-03-2022-0430

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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