A Bibliometric Analysis of Online Reviews Research in Tourism and Hospitality

Abstract

This paper reviews the literature on online reviews in tourism and hospitality, and presents the current state of research in the area. A bibliometric approach was used to analyze 632 journal articles on online reviews in tourism and hospitality from 2005 to 2019 from the Scopus Database. This study identifies the most prolific journals, foundational works, and major research themes in the research area. In addition, we analyzed some dimensions of their network structure and the thematic evolution of the research area. The bibliometric method is quantitative and objective, and we carry out an analysis of the area based on citations and keywords. Researchers and business managers can gain useful insights on the current state of the art in this area. There have been only a few literature reviews tracking the growth in this research area, and even fewer using bibliometric methods or science maps. Therefore, this work provides an updated review of this fast-growing area with a bibliometric approach to highlight the recent developments with the aid of science maps, and shows the thematic network structure and evolution with an innovative visualization.

Bibliometric Analysis of Research on Peer Feedback in Teaching and Learning

“…Initial search has yielded a total of 441 document results. Following the procedure of other bibliometric studies (see Muritala, 2020;Özdağoğlu et al, 2019;Sweileh, 2020) and critical analysis (see Sivarajah et al, 2017), only journal articles were considered. As indicated by Kraus et al (2020Kraus et al ( , p. 1034, as the most 'valuable' source in research, searching limited to 'journal articles only' can help "to create a more transparent process that can be applied globally".…”

Evolution of Electronic Word of Mouth: A Systematic Literature Review Using Bibliometric Analysis of 20 Years (2000–2020)

“…Also, few literature reviews have covered the perspective of eWOM information adoption and its influence on consumer purchase behaviours (Cheung & Thadani, 2021; Ismagilova et al, 2019; Mishra & Satish, 2016). Further, the bibliometric review in eWOM literature has also examined the impact of online reviews (Muritala et al, 2020) and social media (Leung et al, 2020) platforms in the hospitality industry. Earlier systematic literature reviews have primarily focused on performing the thematic analysis of the eWOM literature.…”

“…Along with the fruition of tourism studies during these years, hospitality research reached high altitudes. Academicians invested their resources in understanding consumer perception about hospitality services provided by hotels (Perez-Aranda et al, 2018), the role of rating systems (Gavilan et al, 2018;Nieto-Garcia et al, 2019), consumer reviews in hotel bookings (Tsao et al, 2015) and customer satisfaction and loyalty about hospitality services (Serra & Salvi, 2014). Further, eWOM studies during this tenure have been conducted on diverse eWOM platforms like social media (Tan & Lee, 2018), online reviews (Matute et al, 2016), blogs (Gvili & Levy, 2018) and discussion forums (Shih et al, 2013).…”

Nano-Adsorbents for Cobalt Removal from Wastewater: A Bibliometric Analysis of Research Articles Indexed in the Scopus Database

“…The publications considered for this study were obtained from the Elsevier's Scopus database through the searching process presented in Table 1. Scopus was selected on the basis that it possesses a larger coverage of peer-reviewed publications in all fields, provides reliable bibliographic data [46], and offers~5% more coverage than Web of Science in the field of Natural Science and Engineering [47], whereas Google Scholar offers results of inconsistent bibliometric accuracy, as it works as a search engine of the whole internet which narrows the results to "scholarly" ones, based on machine-automated criteria [48]. Applying the appropriate syntax of Scopus database, the search approach was created on the basis that the acquired research publications were to be retrieved from a dataset that would be as broad, complete, and relevant as possible.…”

“…Co-occurrence of citations is a tool also used to identify fundamental literature on a certain topic, as when research groups cite a common set of papers, these co-citations indicate works that may contain key concept equations, experiments, or results and thus are usually frequently cited, in terms of bulk citations [46]. That is clearly the case of reference iv Tan, X., Fan, Q., Wang, X., Gram- vi Yang, S., Li, J., Shao, D., Hu, J.,…”