The research on digital tourism engineering evaluation method based on FAHP

Miao, Fang; Guo, Xirong; Liu, Rui

doi:10.1109/peits.2009.5406982

Cited by 1 publication

(1 citation statement)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Miao, F had four articles on fuzzy analysis hierarchy process (FAHP)-Based Digital Tourism Engineering Research, with the essential findings being seven factors. The main factors in evaluating digital tourism are infrastructure construction, data support, technology systems, application platforms, industrial size systems, security systems, planning and organization (Miao et al , 2009). Furthermore, Bon, A.T., and Ziyadin, S published three articles, and in the order of 5 to 10, two were produced articles by Adi, S; Andria, F; Ardiansyah.…”

Section: Resultsmentioning

confidence: 99%

Research trends of digital tourism: a bibliometric analysis

Roziqin

Kurniawan

Hijri

et al. 2023

TRC

View full text Add to dashboard Cite

Purpose Discussions about digital tourism continue to increase among scholars as Information Communication and Technology (ICT) infrastructure develops. Dynamic changes due to technological aspects have given rise to various developments in the tourism industry. Therefore, this study aims to evaluate the scientific structure of the development of digital tourism topics through a bibliometric analysis approach. In total, 102 publications from research on digital tourism were taken from Scopus database between 2001 and 2021, for further bibliometric analysis using the VOSviewer application. Interesting findings describe the most cited digital tourism publications, the contribution of digital tourism by various authors, institutions, countries, co-citation analysis, bibliographic coupling, and co-occurrence for the main trends of digital tourism. This study compiles a detailed review of digital tourism research. This article adds substantial value to the digital tourism topic by analyzing bibliometric data. It provided scientific information regarding digital tourism for other researchers and future research.

show abstract

Section: Resultsmentioning

confidence: 99%