Chowdhury Noushin Novera, Zobayer Ahmed, Rafsanjany Kushol, P. Wanke, M. Azad
{"title":"Internet of Things (IoT) in smart tourism: a literature review","authors":"Chowdhury Noushin Novera, Zobayer Ahmed, Rafsanjany Kushol, P. Wanke, M. Azad","doi":"10.1108/sjme-03-2022-0035","DOIUrl":null,"url":null,"abstract":"Purpose\nAlthough there has been a significant amount of research on Smart Tourism, the articles have not yet been combined into a thorough literature review that can examine research streams and the scope of future research. The purpose of this study is to examine the literature on the impact of deploying the Internet of Things (IoT) in tourism sector development to attract more visitors using a text mining technique and citation based bibliometric analysis for the first time.\n\nDesign/methodology/approach\nThis study uses R programming to do a full-text analysis of 36 publications on IoT in tourism and visualization of similarities viewer software to conduct a bibliometric citation analysis of 469 papers from the Scopus database. Aside from that, the documents were subjected to a longitudinal study using Excel and word frequency using a trending topic using the R-tool.\n\nFindings\nResults from the bibliometric study revealed the networks that exist in the literature of Tourism Management. With the use of log-likelihood, the findings from text mining identified nine theme models on the basis of relevancy, which is presented alongside an overview of the existing papers and a list of the primary authors with posterior probability using latent Dirichlet allocation.\n\nOriginality/value\nThis study examines tourism literature in which IoT plays a significant role. To the best of the authors’ knowledge, this study is the first to combine text mining with a bibliometric review. It significantly analyzes and discusses the impact of technology in the tourism sector development on attracting tourists while presenting the most important and frequently discussed topics and research in these writings. These findings provide researchers, tourism managers and technology professionals with a complete understanding of e-tourism and to provide smart devices to attract tourists.\n","PeriodicalId":37428,"journal":{"name":"Spanish Journal of Marketing - ESIC","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Spanish Journal of Marketing - ESIC","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/sjme-03-2022-0035","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Business, Management and Accounting","Score":null,"Total":0}
引用次数: 5
Abstract
Purpose
Although there has been a significant amount of research on Smart Tourism, the articles have not yet been combined into a thorough literature review that can examine research streams and the scope of future research. The purpose of this study is to examine the literature on the impact of deploying the Internet of Things (IoT) in tourism sector development to attract more visitors using a text mining technique and citation based bibliometric analysis for the first time.
Design/methodology/approach
This study uses R programming to do a full-text analysis of 36 publications on IoT in tourism and visualization of similarities viewer software to conduct a bibliometric citation analysis of 469 papers from the Scopus database. Aside from that, the documents were subjected to a longitudinal study using Excel and word frequency using a trending topic using the R-tool.
Findings
Results from the bibliometric study revealed the networks that exist in the literature of Tourism Management. With the use of log-likelihood, the findings from text mining identified nine theme models on the basis of relevancy, which is presented alongside an overview of the existing papers and a list of the primary authors with posterior probability using latent Dirichlet allocation.
Originality/value
This study examines tourism literature in which IoT plays a significant role. To the best of the authors’ knowledge, this study is the first to combine text mining with a bibliometric review. It significantly analyzes and discusses the impact of technology in the tourism sector development on attracting tourists while presenting the most important and frequently discussed topics and research in these writings. These findings provide researchers, tourism managers and technology professionals with a complete understanding of e-tourism and to provide smart devices to attract tourists.
期刊介绍:
Expected manuscript profile: SJM-ESIC is especially interested in submissions that include unique and novel contributions on the frontier of knowledge, focused on emerging areas relevant to academic research in marketing or even opening new research niches. New methodologies and techniques are particularly appreciated. SJM-ESIC welcomes a wide array of original contributions (quantitative or qualitative empirical analysis, critical literature reviews, meta-analysis, theoretical papers, agenda for future research, etc.), as well as research that cross the frontiers between marketing and other related areas. Submitted manuscripts can be focused on Spanish, Latin-American, but also any other relevant market. Agenda for Future Research: Considering the interest of the SJM-ESIC for unique and novel contributions on the frontier of knowledge, this section aims to create a space for critical reflection of new directions in which future specialized research in the marketing field should advance. The Agenda for Future Research section welcomes contributions outlining emerging opportunities in the marketing discipline derived, for example, from changes in consumers'' behaviour. New challenges in this evolving field might be also addressed. In sum, this section aims to propose new research avenues for marketing academics in order to inspire future research agendas. Leading researchers in the marketing discipline, either alone or in collaboration, are highly encouraged to contribute to this Agenda for Future Research section. Due to the particularities of this type of contributions, no restrictions on manuscript structure apply.