Digital technologies for sustainable tourism destinations: State of the art and research agenda
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El Archi, Youssef; Benbba, Brahim; Kabil, Moaaz; David, Lorant Denes Article Digital technologies for sustainable tourism destinations: State of the art and research agenda Administrative Sciences Provided in Cooperation with: MDPI – Multidisciplinary Digital Publishing Institute, Basel Suggested Citation: El Archi, Youssef; Benbba, Brahim; Kabil, Moaaz; David, Lorant Denes (2023) : Digital technologies for sustainable tourism destinations: State of the art and research agenda, Administrative Sciences, ISSN 2076-3387, MDPI, Basel, Vol. 13, Iss. 8, pp. 1-21, https://doi.org/10.3390/admsci13080184 This Version is available at: https://hdl.handle.net/10419/320750 Standard-Nutzungsbedingungen: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in EconStor may be saved and copied for your personal and scholarly purposes. You are not to copy documents for public or commercial purposes, to exhibit the documents publicly, to make them publicly available on the internet, or to distribute or otherwise use the documents in public. If the documents have been made available under an Open Content Licence (especially Creative Commons Licences), you may exercise further usage rights as specified in the indicated licence. https://creativecommons.org/licenses/by/4.0/
Citation: El Archi, Youssef, Brahim Benbba, Moaaz Kabil, and Lóránt Dénes Dávid. 2023. Digital Technologies for Sustainable Tourism Destinations: State of the Art and Research Agenda. Administrative Sciences 13: 184. https://doi.org/ 10.3390/admsci13080184 Received: 12 July 2023 Revised: 6 August 2023 Accepted: 7 August 2023 Published: 10 August 2023 Copyright: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). administrative sciences Article Digital Technologies for Sustainable Tourism Destinations: State of the Art and Research Agenda Youssef El Archi 1,* , Brahim Benbba 1, Moaaz Kabil 2,3 and Lóránt Dénes Dávid 2,4,* 1National School of Business and Management of Tangier, Abdelmalek Essaâdi University, Tangier 90000, Morocco; [email protected] 2Doctoral School of Economic and Regional Science, Hungarian University of Agriculture and Life Sciences (MATE), 2100 Gödöll˝o, Hungary; [email protected] 3Faculty of Urban and Regional Planning, Cairo University, Giza 12613, Egypt 4Department of Sustainable Tourism, Institute of Rural Development and Sustainable Economy, Hungarian University of Agriculture and Life Sciences, 2100 Gödöll˝o, Hungary *Correspondence: [email protected] (Y.E.A.); [email protected] (L.D.D.) Abstract: This study explores the adoption of digital technology in sustainable tourism destinations and provides insights into current research. Using a bibliometric analysis approach, it comprehensively evaluates research outputs, identifies trends, and highlights key themes and collaborative networks. Employing a bibliometric analysis approach, this study utilizes the Scopus database and bibliometric software. After rigorous data cleaning, bibliographic coupling maps, collaboration networks, and keyword maps are generated using Biblioshiny and VOSviewer for comprehensive analysis. Analyzing 559 papers, the study reveals a consistent growth in publications, indicating increasing research interest in digital technology adoption in sustainable tourism destinations. Europe, Asia, and North America are the primary regions of research activity. Interdisciplinary collaboration is high, emphasizing the multidimensional nature of the field. While valuable, the bibliometric analysis is limited by data availability and quality in the Scopus database. Relevant research outputs may be excluded. The study focuses on overall trends and patterns rather than individual paper content. The study’s findings have practical implications for researchers, policymakers, and practitioners in sustainable tourism. The identification of key themes and collaborative networks can guide future research and foster interdisciplinary collaborations. This study contributes to the existing literature on technological innovations in sustainable tourism destinations through its bibliometric analysis approach. Through providing an overview of the research landscape, identifying trends and collaborative networks, it offers valuable insights into the current state of research. The findings serve as a foundation for further exploration and advancement in sustainable tourism and digital technology. Keywords: digital technologies; technological innovations; sustainable tourism destination; destination marketing; bibliometric analysis; current trends 1. Introduction Tourism is one of the largest and fastest-growing industries in the world, contributing significantly to the global economy and providing employment opportunities to millions of people (Aynalem et al. 2016;Fang et al. 2016;Liu and Wall 2006). However, the rapid growth of tourism also brings a range of environmental, social, and economic challenges, including over-tourism, degradation of natural resources, and negative impacts on local communities (Baloch et al. 2023;Brokaj 2014;Mbaiwa 2003;Sisneros-Kidd et al. 2019). To address these challenges, sustainable tourism has emerged as a critical approach to tourism development, emphasizing the integration of environmental, social, and economic factors in tourism planning and management (Connell et al. 2009;Kauppila et al. 2009). The sustainable development of tourist destinations is a crucial issue in the field of tourism, as it not only contributes to the economic growth of the area but also ensures the preservation Adm. Sci. 2023,13, 184. https://doi.org/10.3390/admsci13080184 https://www.mdpi.com/journal/admsci
Adm. Sci. 2023,13, 184 2 of 21 of its natural and cultural resources for future generations (Dunets et al. 2019;Mawby et al. 2016;Welford and Ytterhus 2004). In recent years, digital technologies have been increasingly recognized as a key enabler of sustainable tourism development, providing new opportunities for improving destination management, enhancing visitor experiences (Polishchuk et al. 2023), and promoting sustainable behaviors among tourists (Boes et al. 2016;El Archi et al. 2023b;Fennell 2021; Xu et al. 2020). Digital technologies, such as social media, mobile applications, and big data analytics, have the potential to revolutionize the way tourism destinations operate, communicate, and engage with tourists and stakeholders (Hays et al. 2013;Leung et al. 2013;Pencarelli 2020;Sigala et al. 2012;Xiang and Gretzel 2010). Moreover, the adoption of digital technology has emerged as a key factor in promoting sustainable tourism (Della Corte et al. 2019;Gössling 2021;Li et al. 2022;Shen et al. 2020; Van et al. 2020), as it can enhance destination marketing (Buhalis 2019;Buhalis and Sinarta 2019), improve the management of tourist resources, and enhance the visitor experience (Dwyer et al. 2009). Digital technologies contribute to increasing the effectiveness of marketing communication, helping to reduce costs and enabling more precise targeting of preferred segments through personalized marketing. The use of digital technology has the potential to significantly impact the sustainability of tourist destinations, both positively and negatively (Neumannová2022). However, limitations in using technology for sustainable tourism can stem from a variety of reasons, such as insufficient experience and training of destination managers; a lack of understanding and unwillingness to change established practices among destination managers, local residents, and tourists in the destination itself; or even asymmetry in the cooperation of local actors within a tourist destination. Sustainable tourism has gained significant attention in recent years as a means of balancing economic development with environmental protection and cultural preservation. Sustainable tourism destinations refer to locations that prioritize environmental, social, and economic sustainability to ensure long-term viability and minimal negative impacts on the environment and local communities. These destinations aim to strike a balance between meeting the needs of tourists and host communities while preserving natural and cultural resources for future generations (Lozano-Oyola et al. 2012;Purwanda and Achmad 2022). The adoption of digital technology has the potential to support sustainable tourism practices by improving operational efficiency, reducing waste and emissions, and enhancing the tourist experience (Pan et al. 2018). Despite the increasing recognition of the importance of digital technology in sustainable tourism, there is a need for a comprehensive understanding of the extent and nature of its adoption in sustainable tourism destinations. However, the adoption and implementation of digital technologies in sustainable tourism destinations is still in its infancy, and there is a need for a comprehensive understanding of the current state of research in this area. Therefore, this paper aims to conduct a bibliometric analysis of the literature on digital technology adoption in sustainable tourism destinations. The aim of the proposed paper is to bridge this gap and contribute to the academic discourse through providing a systematic review of the existing literature on the topic. Through conducting a comprehensive bibliometric analysis, the study intends to map out the current state of research, identify key contributors, highlight research trends and themes, and assess the overall impact and influence of research in this domain. Bibliometric analysis is a quantitative research method that uses statistical and computational tools to analyze patterns and trends in scholarly literature, providing insights into the intellectual structure and evolution of a research field (Donthu et al. 2021; Moral-Muñoz et al. 2020). This study aims to examine the extent to which digital technology has been adopted and used in sustainable tourism destinations. The purpose of this research is to understand the current state of the use of digital technology in sustainable tourism, with a focus on how it contributes to the sustainable development of tourist destinations. The study will analyze the available literature on the topic, including academic articles, conference proceedings, and other relevant sources, to identify the key themes, trends,
Adm. Sci. 2023,13, 184 3 of 21 and patterns in the field, such as the volume of publications over time, the distribution of publications across different geographic regions, and the most frequently studied topics. The specific objectives of this paper are to (1) identify the main research themes and topics in the literature on digital technology adoption in sustainable tourism destinations; (2) analyze the publication patterns and trends over time; (3) identify the most influential authors, journals, and publications in the field; and (4) identify research gaps and future research directions. The results of this study will contribute to a better understanding of the state of research on digital technology adoption in sustainable tourism destinations and provide insights for academics, practitioners, and policymakers on the current trends, research gaps, and future research directions in this field. Furthermore, this study will contribute to the ongoing debate on the role of digital technologies in sustainable tourism development and provide valuable guidance for tourism stakeholders on how to leverage digital technologies for sustainable tourism practices. In addition to the general overview of the study, there are a few key elements that make this research particularly important and relevant. First, the use of a bibliometric analysis allows for a comprehensive and systematic examination of the literature on digital technology adoption in sustainable tourist destinations. This method provides a comprehensive and objective view of the field and can identify the most important and influential research and authors in the area. Second, the focus on sustainable tourist destinations highlights the importance of responsible and sustainable practices in the tourism industry. The use of digital technology has the potential to significantly impact the sustainability of tourist destinations, both positively and negatively (El Archi et al. 2023a), and this research will shed light on these impacts. Third, the study provides recommendations for future research and practice in the area of digital technology adoption in sustainable tourist destinations. These recommendations are based on the findings of the bibliometric analysis and will address key areas for improvement and potential areas for further investigation. In the first section of this manuscript, the theoretical background on the topic is presented through an introduction. The study’s second section describes the methodologies that were selected and applied to reach the results. The third section, which is the findings and discussion part, provides the results that the authors found after carrying out the bibliometric analysis. 2. Methods and Materials This study depended on bibliometric analysis to achieve its objectives and investigate the scientific production of digital technology in sustainable tourism destinations. Bibliometric analysis is a quantitative method which is regarded as one of the most trustworthy literature review methodologies (Osareh 1996). Using bibliometric analysis for this study was according to four main justifications. Firstly, this method is frequently trustworthy and beneficial for assessing emerging scientific fields in order to find trends and anticipate the future directions of these topics (Aria and Cuccurullo 2017). Secondly, bibliometric analysis is commonly employed as a key methodology for evaluating literature in the area of sustainable development (Camón Luis and Celma 2020;Guo et al. 2019;Hallinger and Nguyen 2020;Maditati et al. 2018;Qureshi et al. 2020;Rosato et al. 2021). Third, the idea of bibliometric analysis is consistent with the study’s goal, which is to establish a statistical assessment of the use of digital technology in sustainable tourism destinations based on organized and transparent procedures (Aria and Cuccurullo 2017). Finally, it is a straightforward and impartial research method, which presented robust findings (Archambault and Gagné2004). Numerous software programs, including CiteSpace (Chen 2006), HistCite (Garfield et al. 2006), CitNetExplorer, VOSviewer (van Eck and Waltman 2010), SciMAT (Cobo et al. 2012), Science of Science (Sci2) (Guler et al. 2016), and the bibliometrix package in R (Aria and Cuccurullo 2017), are used to do bibliometric analysis. Each of these software is focused on a specific perspective of bibliometric analysis such as visualization, analyze
Adm. Sci. 2023,13, 184 4 of 21 bibliographic data, etc. This study depended on two main pieces of software to conduct the bibliometric analysis: the Biblioshiny package in R programming language (version 3.6.3) and VOSviewer (version 1.6.15). Biblioshiny is a web interface for bibliometrics. R in general and Biblioshiny in particular were preferred by academics over other scientific computer languages because they can perform practically exhaustive bibliometric and scientometric analyses (Aria and Cuccurullo 2017), as well as having useful statistical algorithms, several numerical paths, and strong visualization tools. Additionally, VOSviewer was used to generate intellectual networks. In order to conduct bibliometric analysis, a dataset should be collected from wellknown peer-reviewed databases such as Scopus, Web of Science (WoS), and Google Scholar. This study relied on the Scopus database to extract records related to digital technologies in sustainable tourism destinations. Among the various literature databases, Scopus is the biggest database of peer-reviewed literature materials, including books, articles, conference papers, and review papers (Salisbury 2009). Additionally, many other academics have used Scopus to perform bibliometric analysis in their research (Morandi et al. 2015; Netto et al. 2020). In this bibliometric analysis, multiple techniques were used. Science mapping involves the examination of relationships between different components of research. This analysis focuses on understanding the intellectual interactions and structural connections among these research components. Various techniques are employed for science mapping, such as citation analysis, co-citation analysis, bibliographic coupling, co-word analysis, and co-authorship analysis (Donthu et al. 2021). The researchers employed the following search query to gather the relevant scientific published articles in the field of digital technologies adoption in sustainable tourism destinations scientific: TITLE-ABS-KEY (“digital” OR “technolog*” OR “artificial intelligence” OR “AI” OR “robot*” OR “voice search” OR “blockchain” OR “cryptocurrenc*” OR “service automation” OR “RAISA” OR “VR” OR “virtual reality” OR “mobile” OR “smartphone” OR “ICT” OR “social media” OR “smart technolog*” OR “smart device*” OR “big data” OR “AR” OR “augmented reality” OR “xr technolog*” OR “tech” OR “chatbot” OR “mobile app*” OR “IOT” OR “5G” OR “4G” OR “deep learning” OR “machine learning” OR “internet of things” AND “sustainab*” OR “green” OR “responsible” AND “tourist destination*” OR “tourism destination*” OR “touristic destination*” OR “sustainable destination*” OR “tourist place*” OR “tourism place*” OR “tourist attraction*” OR “tourism attraction*” OR “nature destination*” OR “natural destination*” OR “nature attraction*” OR “ natural attraction*” OR “green destination*” OR “responsible destination*”). In this section, we elaborate on the criteria utilized for both the inclusion and exclusion of manuscripts in our bibliometric analysis focusing on digital technologies for sustainable tourism destinations. Our primary objective was to carefully select the most pertinent and robust studies for our investigation while ensuring the exclusion of any studies that did not meet our specified criteria. The criteria employed for the exclusion of manuscripts encompassed several aspects, such as the nature of the issues addressed, the journal in which the paper was published, the level of scientific rigor, originality, and the relevance of the subject matter concerning the integration of digital technologies with sustainable destinations. On the other hand, the inclusion criteria were thoughtfully aligned with our research objectives, emphasizing the presence of a well-defined and comprehensible research methodology, as well as relevant and insightful analysis. Through applying these meticulous criteria, we aimed to maintain the integrity and focus of our bibliometric analysis, ensuring that the selected studies contributed meaningfully to the exploration of digital technologies in the context of sustainable tourism destinations. The rigorous application of these criteria strengthens the reliability and validity of our findings and allows us to draw meaningful conclusions from the collected data.
Adm. Sci. 2023,13, 184 5 of 21 3. Results and Discussion In this section, we provide a comprehensive analysis of the dataset comprising 559 publications published from 2003 to 2022, focusing on the field of digital technologies in sustainable tourism destinations. Descriptive statistics are presented to highlight key aspects, including the top ten influential authors, articles, sources/journals, research institutions, and countries within this domain. Moreover, we delve into the bibliometric intellectual networks, such as the lexical network, spatial network, and citation source network, to unveil the interconnections and collaborations among researchers and entities. Furthermore, we explore the research direction and themes through factorial analysis and thematic mapping, shedding light on the prevailing trends and topics in this research area. 3.1. Dataset Summary Information Table 1presents a qualitative summary of published records on the use of digital technologies in sustainable tourism destinations. The results show that 267 sources/journals were involved in publishing the 559 collected articles between 2003 and 2022. On average, about 29.4 publications were made each year, with an average of 12.39 citations per document. The articles discussing digital technologies in sustainable tourism destinations cited a total of 28,386 references. In terms of authorship, a total of 1694 authors contributed to the collected articles, with 67 of them being single authors and 1627 being co-authors. Lastly, the authors mentioned 1794 keywords that were of significant importance in the field of digital technology adoption in tourism destinations. Table 1. Summary statistics of collected dataset. Key Information about the Documents Statistics Timespan 2003–2022 Sources/Journals 267 Documents 559 Average publications per year 29.4 Average citations per documents 12.39 Authors 1694 Keywords 1794 Authors of single-authored documents 67 Authors of multi-authored documents 1627 Annual growth rate 23.48 The annual scientific production is presented in Figure 1, showing a general increasing trend in the number of published papers on digital technology adoption in sustainable tourism destinations from 2003 to 2022. Despite the small numbers of published articles in the beginning of the period (two and one articles in 2003 and 2004, respectively), the number of published papers gradually increased from three papers in 2005 to five papers in 2009. From 2010 to 2015, the number of published papers increased significantly. The publication production reached the peak in 2021 with 211 published articles. Prior to that, the published articles were 24, 27, 28, 72, and 89 in 2016, 2017, 2018, 2019, and 2020, respectively. This scientific production timeline of articles that discussed the digital technology adoption in sustainable tourism destinations field ended with 110 published articles in 2022. Based on the scientific production, the prominence of digital technology adoption in sustainable tourism destinations can be summarized into three main stages, as shown in Table 2. In the early stage (2003–2012), also known as the emerging phase, during which publications were still growing without any salient significance, the number of published articles was 42 articles, representing only 7.5% of the total scientific production. At this stage, the number of published articles varied from one to three, averaging four articles/year. The most popular technologies used in tourism destinations in this early stage were online travel agencies (OTAs), destinations websites, search engines, email marketing, online booking systems, and virtual tours.
Adm. Sci. 2023,13, 184 6 of 21 Adm. Sci. 2023, 13, x FOR PEER REVIEW 6 of 21 ranged from 10 to 28, with an average of 21 articles per year. The prevalent technologies employed in tourism destinations during this growth stage included mobile apps, social media platforms, online review sites, location-based services, big data analytics, and cloud computing. Finally, the hype stage includes the most recent period from 2019–2022 and constitutes a significant portion of the total publications, accounting for 70.1% (392 articles) of the total. This stage witnessed the adoption of more advanced and cutting-edge technologies, such as artificial intelligence (AI), augmented reality (AR), virtual reality (VR), internet of things (IoT), blockchain technology, and chatbots and virtual assistants. Figure 1. Annual publication of scientific production. Table 2. Distribution of publications on technologies used in sustainable tourism. Stage Period NP (%) Used Technologies Early Stage 2003–2012 42 (7.5%) Online travel agencies (OTAs), destinations websites, search engines, email marketing, online booking systems, and virtual tours Growth Stage 2013–2018 125 (22.4%) Mobile apps, social media platforms, online review sites, location-based services, big data analytics, and cloud computing Hype Stage 2019–2022 392 (70.1%) AI, AR, VR, IoT, blockchain technology, chatbots, and virtual assistants 3.2. Dominant Scientific Production Parameters Within this section, our primary objective is to comprehensively examine the four fundamental parameters that form the basis of bibliometric analysis. These parameters include authors, publications, sources, and research institutions. Through thoroughly investigating and analyzing these key elements, we aim to deeply understand the intricate research dynamics and patterns within the literature related to technology usage in sustainable destinations. Through this process, we endeavor to uncover valuable insights and discern meaningful trends that can contribute to the advancement of scholarly research and knowledge dissemination in this scientific field (Zupic and Čater 2015). 3.2.1. Authors Analysis Table 3 presents information on the top productive authors, and it reveals that Na Na has published the highest number of articles related to the use of technologies in Figure 1. Annual publication of scientific production. Table 2. Distribution of publications on technologies used in sustainable tourism. Stage Period NP (%) Used Technologies Early Stage 2003–2012 42 (7.5%) Online travel agencies (OTAs), destinations websites, search engines, email marketing, online booking systems, and virtual tours Growth Stage 2013–2018 125 (22.4%) Mobile apps, social media platforms, online review sites, location-based services, big data analytics, and cloud computing Hype Stage 2019–2022 392 (70.1%) AI, AR, VR, IoT, blockchain technology, chatbots, and virtual assistants The growth stage between 2013 and 2018, referred to as the expansion phase, was characterized by a notable increase in publications, with 125 articles representing 22.4% of the total scientific production. During this phase, the number of published articles ranged from 10 to 28, with an average of 21 articles per year. The prevalent technologies employed in tourism destinations during this growth stage included mobile apps, social media platforms, online review sites, location-based services, big data analytics, and cloud computing. Finally, the hype stage includes the most recent period from 2019–2022 and constitutes a significant portion of the total publications, accounting for 70.1% (392 articles) of the total. This stage witnessed the adoption of more advanced and cutting-edge technologies, such as artificial intelligence (AI), augmented reality (AR), virtual reality (VR), internet of things (IoT), blockchain technology, and chatbots and virtual assistants. 3.2. Dominant Scientific Production Parameters Within this section, our primary objective is to comprehensively examine the four fundamental parameters that form the basis of bibliometric analysis. These parameters include authors, publications, sources, and research institutions. Through thoroughly investigating and analyzing these key elements, we aim to deeply understand the intricate research dynamics and patterns within the literature related to technology usage in sustainable destinations. Through this process, we endeavor to uncover valuable insights and discern meaningful trends that can contribute to the advancement of scholarly research and knowledge dissemination in this scientific field (Zupic and ˇ Cater 2015).
Adm. Sci. 2023,13, 184 7 of 21 3.2.1. Authors Analysis Table 3presents information on the top productive authors, and it reveals that Na Na has published the highest number of articles related to the use of technologies in sustainable destinations, with 14 publications. The next most productive authors on the list were Zhang J., Foris D., and Wang Y., with five, four, and four publications, respectively. The remaining authors on the list had published no more than three articles, including Badulescu A., Chung N., Cismaru L., Del Vecchiop, Gonzalez-Revertef, and Higham J. (refer to Table 3). Furthermore, it is imperative to examine the authors’ scientific production over an extended period, as demonstrated in Figure 2. This analysis allows us to identify authors who consistently generate high-quality research and those who have exhibited growth and advancement in their scholarly output. Within the presented figure, the visualization of authors’ scientific production becomes continuous starting from 2013. Notably, Na Na and Zhang J. emerge as the authors with the longest-standing contributions in publishing articles pertaining to the utilization of technologies in sustainable tourism destinations. However, it is worth mentioning that their number of published articles and total citations remain limited. Conversely, other authors have made significant contributions in specific years, such as Badulescu A. in 2021 and Higham J. in 2020. These authors have made notable strides in their research output during these respective periods, signifying their impact in the field. Adm. Sci. 2023, 13, x FOR PEER REVIEW 7 of 21 sustainable destinations, with 14 publications. The next most productive authors on the list were Zhang J., Foris D., and Wang Y., with five, four, and four publications, respectively. The remaining authors on the list had published no more than three articles, including Badulescu A., Chung N., Cismaru L., Del Vecchiop, Gonzalez-Revertef, and Higham J. (refer to Table 3). Furthermore, it is imperative to examine the authors’ scientific production over an extended period, as demonstrated in Figure 2. This analysis allows us to identify authors who consistently generate high-quality research and those who have exhibited growth and advancement in their scholarly output. Within the presented figure, the visualization of authors’ scientific production becomes continuous starting from 2013. Notably, Na Na and Zhang J. emerge as the authors with the longest-standing contributions in publishing articles pertaining to the utilization of technologies in sustainable tourism destinations. However, it is worth mentioning that their number of published articles and total citations remain limited. Conversely, other authors have made significant contributions in specific years, such as Badulescu A. in 2021 and Higham J. in 2020. These authors have made notable strides in their research output during these respective periods, signifying their impact in the field. Figure 2. Authors’ scientific production over time. An alternative approach to explore and gain a comprehensive understanding of the authors involved in the literature concerning the utilization of technologies in sustainable tourism destinations is through the analysis of a co-authorship network. This network serves as a graphical representation that visually illustrates the collaborative relationships among authors within this specific domain. The provided Figure 3 presents a visual depiction of this co-authorship network, showcasing the interconnectedness and interdependencies among authors within the scholarly community. Through mapping out the connections and interactions between co-authors, this intricate network offers insights into the collaborative patterns and dynamics prevalent in this scholarly field. The complexity of the network indicates a strong connection between authors, emphasizing the significance and relevance of the research conducted within this scientific domain (Kabil et al. 2022a; Zupic and Čater 2015). The presence of numerous interconnections between authors underscores the collaborative nature of scholarly work in exploring the use of technologies in sustainable tourism destinations. This network visualization serves as evidence of the active and interconnected community of researchers contributing to this specific field of study. Figure 2. Authors’ scientific production over time. An alternative approach to explore and gain a comprehensive understanding of the authors involved in the literature concerning the utilization of technologies in sustainable tourism destinations is through the analysis of a co-authorship network. This network serves as a graphical representation that visually illustrates the collaborative relationships among authors within this specific domain. The provided Figure 3presents a visual depiction of this co-authorship network, showcasing the interconnectedness and interdependencies among authors within the scholarly community. Through mapping out the connections and interactions between co-authors, this intricate network offers insights into the collaborative patterns and dynamics prevalent in this scholarly field. The complexity of the network indicates a strong connection between authors, emphasizing the significance and relevance of the research conducted within this scientific domain ( Kabil et al. 2022a ; Zupic and ˇ Cater 2015). The presence of numerous interconnections between authors underscores the collaborative nature of scholarly work in exploring the use of technologies in sustainable tourism destinations. This network visualization serves as evidence of the active and interconnected community of researchers contributing to this specific field of study.
Adm. Sci. 2023,13, 184 8 of 21 Adm. Sci. 2023, 13, x FOR PEER REVIEW 8 of 21 Figure 3. Co-authorship network. 3.2.2. Documents Analysis Moving to the publications analysis parameter, Table 3 presents the top 10 most impactful papers on the use of technologies in sustainable tourism destinations, based on the number of citations and the sources of the articles among a total of 599 published documents. The table includes two columns, indicating the rank and the total number of citations (TC) for each paper. The results reveal that the highest and lowest numbers of citations among the top 10 influential papers are 289 and 89, respectively. Notably, 8 of the top 10 articles in this list were published after 2010 (Dickinson et al. 2014; Lee and Jan 2018; Lindemann-Matthies et al. 2010; Pencarelli 2020; Pop et al. 2022; Smerecnik and Andersen 2011; Streimikiene et al. 2021; Weaver 2012), in journals such as Current Issues in Tourism, Landscape and Urban Planning, Tourism Management, Journal of Sustainable Tourism, Information Technology & Tourism, Sustainable Development, and Journal of Travel Research. The only two published articles before 2010 were the first and last in the list and were authored by (Dwyer et al. 2009; Nepal 2008), respectively. Additionally, the results of the analysis indicate that, with the exception of 3 papers, all of the top 10 influential papers on the use of technologies in sustainable tourism destinations were authored by multiple authors. Furthermore, none of the papers in the list were published as book chapters. According to data from Scopus, the manuscript with the highest number of citations to date is a 2009 publication by (Dwyer et al. 2009), which has been cited 289 times. The second most cited paper, published by (Dickinson et al. 2014), has received 219 citations. The third, fourth, and fifth most cited articles are Lindemann-Matthies et al. (2010), Weaver (2012), and Smerecnik and Andersen (2011), respectively, with 136, 135, and 122 citations. Furthermore, the sixth to tenth most cited articles are (Pop et al. 2022), (Pencarelli 2020), (Streimikiene et al. 2021), (Lee and Jan 2018), and (Nepal 2008), with 120, 111, 92, 91, and 89 citations, respectively. Table 3. Top 10 cited articles on tech utilization in sustainable tourism destinations. Rank TC Authors Source Reference 1 289 Dwyer, L., Edwards, D., Mistilis, N., Roman, C., and Scott, N. Tourism Management (Dwyer et al. 2009) 2 219 Dickinson, J. E., Ghali, K., Cherrett, T., Speed, C., Davies, N., and Norgate, S. Current Issues in Tourism (Dickinson et al. 2014) Figure 3. Co-authorship network. 3.2.2. Documents Analysis Moving to the publications analysis parameter, Table 3presents the top 10 most impactful papers on the use of technologies in sustainable tourism destinations, based on the number of citations and the sources of the articles among a total of 599 published documents. The table includes two columns, indicating the rank and the total number of citations (TC) for each paper. The results reveal that the highest and lowest numbers of citations among the top 10 influential papers are 289 and 89, respectively. Notably, 8 of the top 10 articles in this list were published after 2010 (Dickinson et al. 2014;Lee and Jan 2018;Lindemann-Matthies et al. 2010;Pencarelli 2020;Pop et al. 2022;Smerecnik and Andersen 2011;Streimikiene et al. 2021;Weaver 2012), in journals such as Current Issues in Tourism, Landscape and Urban Planning, Tourism Management, Journal of Sustainable Tourism, Information Technology & Tourism, Sustainable Development, and Journal of Travel Research. The only two published articles before 2010 were the first and last in the list and were authored by (Dwyer et al. 2009;Nepal 2008), respectively. Additionally, the results of the analysis indicate that, with the exception of 3 papers, all of the top 10 influential papers on the use of technologies in sustainable tourism destinations were authored by multiple authors. Furthermore, none of the papers in the list were published as book chapters. According to data from Scopus, the manuscript with the highest number of citations to date is a 2009 publication by (Dwyer et al. 2009), which has been cited 289 times. The second most cited paper, published by (Dickinson et al. 2014), has received 219 citations. The third, fourth, and fifth most cited articles are Lindemann-Matthies et al. (2010), Weaver (2012), and Smerecnik and Andersen (2011), respectively, with 136, 135, and 122 citations. Furthermore, the sixth to tenth most cited articles are (Pop et al. 2022), (Pencarelli 2020), (Streimikiene et al. 2021), (Lee and Jan 2018), and (Nepal 2008), with 120, 111, 92, 91, and 89 citations, respectively.
Adm. Sci. 2023,13, 184 15 of 21 Overall, this thematic map aims to provide an overview of the main themes in the literature on the use of technologies in sustainable tourism destinations. It helps researchers identify the prominence and interconnections between different themes, highlight emerging or declining areas of research, recognize foundational concepts, and pinpoint influential topics that drive the scholarly discourse, as shown in Figure 8. Adm. Sci. 2023, 13, x FOR PEER REVIEW 15 of 21 researchers identify the prominence and interconnections between different themes, highlight emerging or declining areas of research, recognize foundational concepts, and pinpoint influential topics that drive the scholarly discourse, as shown in Figure 8. Figure 8. Thematic map. 3.4. Research Gaps and Future Research Agenda Despite the growing interest in digital technologies for sustainable tourism destinations, the field still exhibits several research gaps that present opportunities for future studies. Addressing these gaps will enhance our understanding of the potential of digital technologies in promoting sustainable tourism practices and improving destination management. The following section outlines the identified research gaps and proposes a future research agenda to guide scholars and practitioners in advancing the domain (Table 6). Table 6. Research gaps and future research agenda. Research Gaps Future Research Directions Lack of comprehensive frameworks Develop holistic models that consider the interplay between digital technologies, sustainability dimensions, and destination-specific factors. Limited understanding of user behavior Delve into tourists’ attitudes towards digital innovations, their preferences for sustainable options, and the impact of digital interventions on their experiences. Measuring the impact of digital technologies on sustainability Establish comprehensive evaluation frameworks to measure the ecological, socio-cultural, and economic impacts of digital solutions on sustainable tourism development. Privacy and data security concerns: Explore methods to safeguard tourist data and ensure responsible and ethical data usage. Long-term sustainability impacts Investigate the long-term sustainability impacts of these technologies to ascertain their role in creating resilient and future-proof destinations. Figure 8. Thematic map. 3.4. Research Gaps and Future Research Agenda Despite the growing interest in digital technologies for sustainable tourism destinations, the field still exhibits several research gaps that present opportunities for future studies. Addressing these gaps will enhance our understanding of the potential of digital technologies in promoting sustainable tourism practices and improving destination management. The following section outlines the identified research gaps and proposes a future research agenda to guide scholars and practitioners in advancing the domain (Table 6). This section has highlighted the various research gaps that currently exist within the domain of digital technologies for sustainable tourism destinations. Addressing these gaps will pave the way for a comprehensive understanding of the opportunities and challenges associated with integrating digital solutions in tourism management. The suggested future research agenda emphasizes the need for interdisciplinary collaboration, ethical considerations, and a forward-looking approach to enhance the sustainability and resilience of tourism destinations in an increasingly digital world. Through focusing on these aspects, scholars and practitioners can contribute meaningfully to the advancement of knowledge in this critical and evolving field.
Adm. Sci. 2023,13, 184 16 of 21 Table 6. Research gaps and future research agenda. Research Gaps Future Research Directions Lack of comprehensive frameworks Develop holistic models that consider the interplay between digital technologies, sustainability dimensions, and destination-specific factors. Limited understanding of user behavior Delve into tourists’ attitudes towards digital innovations, their preferences for sustainable options, and the impact of digital interventions on their experiences. Measuring the impact of digital technologies on sustainability Establish comprehensive evaluation frameworks to measure the ecological, socio-cultural, and economic impacts of digital solutions on sustainable tourism development. Privacy and data security concerns: Explore methods to safeguard tourist data and ensure responsible and ethical data usage. Long-term sustainability impacts Investigate the long-term sustainability impacts of these technologies to ascertain their role in creating resilient and future-proof destinations. Stakeholder collaboration and governance Explore governance models and strategies to facilitate effective cooperation among governments, businesses, local communities, and technology providers. Cross-cultural perspectives Cross-cultural comparisons to identify commonalities and differences in the adoption and impact of digital technologies for sustainable tourism across diverse destinations. Smart destination management strategies Propose smart destination management strategies that ensure a balanced and sustainable approach to technology adoption. Resilience and crisis management Explore how digital technologies can contribute to destination resilience and crisis management, enabling them to withstand and recover from unexpected shocks. Environmental Footprint of Digital Technologies Assess the environmental impact of digital technologies in tourism, including energy consumption, electronic waste, and carbon emissions, and explore ways to minimize their ecological footprint. Climate Change Mitigation and Adaptation Explore the potential of digital technologies in supporting tourism destinations’ efforts to mitigate and adapt to the impacts of climate change while maintaining sustainability. 4. Research Implications This research provides valuable insights and implications for the academic community, policymakers, and practitioners in the field of sustainable tourism. The implications can be categorized into two groups: those relevant for practitioners in the tourism industry and those pertinent to policymakers involved in destination management. For practitioners in the tourism industry, this research presents a comprehensive analysis of research outputs and trends in digital technology adoption within sustainable tourism destinations. The findings offer practitioners a clear understanding of the current state of adoption, enabling them to strategize and invest in innovative digital technologies. Through leveraging these technologies, practitioners can enhance destination experiences, optimize operations, and attract environmentally conscious tourists seeking sustainable and authentic travel experiences. Furthermore, the research sheds light on collaborative networks and key themes, offering valuable guidance for destination marketing practitioners. Through discerning the most influential themes and acknowledging the multidimensional nature of sustainable tourism, marketers can craft compelling narratives that resonate with environmentally conscious travelers. These tailored marketing strategies can attract a niche clientele that values responsible and sustainable destination choices.
Adm. Sci. 2023,13, 184 17 of 21 On the other hand, policymakers involved in destination management can greatly benefit from the research findings. The evidence-based insights offered by this study provide a foundation for shaping policies that promote the responsible integration of digital technologies in sustainable tourism destinations. Policymakers can develop guidelines that prioritize sustainability, preserve local cultures, and minimize the environmental impacts of tourism activities. Moreover, the study highlights the importance of interdisciplinary collaboration in sustainable tourism. Policymakers can play a pivotal role in facilitating partnerships between technology developers, tourism operators, local authorities, and environmental organizations. These collaborations foster collective efforts toward sustainable destination development, promoting responsible tourism practices and enhancing destination resilience. 5. Conclusions The utilization of digital technology in tourist destinations has emerged as a prominent and increasingly significant subject within the tourism industry. In order to conduct a comprehensive bibliometric study in this area, the Scopus bibliographic database and bibliometric tools were employed to identify and evaluate relevant research outputs. The analysis of the selected bibliographic data was conducted using Biblioshiny, facilitating the visualization and assessment of patterns and trends prevalent in the research literature. This analysis encompassed the creation of keyword maps, collaboration networks, and bibliographic coupling maps, enabling the identification of connections between different research fields, the identification of prolific authors and institutions, and the exploration of prevalent themes within the literature. Examining a total of 559 papers, the findings reveal a consistent increase in publications over time, with research activity concentrated in regions such as Europe and North America. Furthermore, a noteworthy level of collaboration is evident among researchers from diverse academic backgrounds, highlighting the interdisciplinary nature of this field. Specific areas of focus include the application of digital technologies in destination marketing, sustainable tourism management, and visitor behavior analysis. The findings suggest that the adoption of digital technology in sustainable tourism destinations is a complex and multifaceted issue, necessitating collaboration between various stakeholders including tourism operators, policymakers, local communities, and technology providers. Furthermore, the research indicates several distinct areas of study, such as the utilization of digital technology in tourism marketing and management, the environmental impacts of digital technology, and the enhancement of the overall tourist experience. Additionally, other research areas encompass the integration of digital technology in tourism planning, destination management, and sustainable development. Some of the limitations include the reliance on existing publications, which might suffer from publication bias, and the potential exclusion of unpublished or non-indexed literature. Additionally, the data retrieved from bibliographic databases might not capture the entire landscape of digital technology adoption in sustainable tourism destinations. Furthermore, the study’s focus on quantitative analysis might overlook valuable qualitative insights. For further research, a complementary qualitative approach, such as interviews or surveys, could provide a deeper understanding of the experiences and challenges faced by sustainable tourism destinations in adopting digital technologies. Additionally, longitudinal studies could track the evolution of technology adoption and its impacts over time. This bibliometric study provides valuable insights into the current state of research regarding the use of digital technology in sustainable tourism destinations. The analysis highlights key themes, collaborative networks, and emerging trends within the field, offering a comprehensive overview of the subject and paving the way for future research and development in this dynamic area.
Adm. Sci. 2023,13, 184 18 of 21 Author Contributions: Conceptualization, Y.E.A.; methodology, Y.E.A. and M.K.; software, Y.E.A. and M.K.; validation, B.B. and L.D.D.; formal analysis, Y.E.A. and B.B.; investigation, Y.E.A. and L.D.D.; resources, M.K. and B.B.; data curation, Y.E.A. and B.B.; writing—original draft preparation, Y.E.A. and M.K.; writing—review and editing, B.B. and L.D.D.; visualization, Y.E.A. and M.K.; supervision, L.D.D. and Y.E.A.; project administration, B.B. and Y.E.A.; funding acquisition, Y.E.A. and L.D.D. All authors have read and agreed to the published version of the manuscript. Funding: This research received no external funding. Institutional Review Board Statement: Not applicable. Informed Consent Statement: Not applicable. Data Availability Statement: Data developed in this study will be made available on request to the corresponding authors. Acknowledgments: The authors would like to thank the Hungarian University of Agriculture and Life Sciences, the Stipendium Hungaricum, and Tempus Public Foundation for supporting this publication. Conflicts of Interest: The authors declare no conflict of interest. References Archambault, Éric, and Étienne Vignola Gagné. 2004. The Use of Bibliometrics in the Social Sciences and Humanities. Montreal: Social Sciences and Humanities Research Council of Canada (SSHRCC). pp. 161–69. Available online: www.science-metrix.com (accessed on 6 August 2023). Aria, Massimo, and Corrado Cuccurullo. 2017. Bibliometrix: An R-Tool for Comprehensive Science Mapping Analysis. Journal of Informetrics 11: 959–75. [CrossRef] Aynalem, Sintayehu, Kassegn Birhanu, and Sewent Tesefay. 2016. Employment Opportunities and Challenges in Tourism and Hospitality Sectors. Journal of Tourism & Hospitality 5: 1–5. Baloch, Qadar Bakhsh, Syed Naseeb Shah, Nadeem Iqbal, Muhammad Sheeraz, Muhammad Asadullah, Sourath Mahar, and Asia Umar Khan. 2023. Impact of Tourism Development upon Environmental Sustainability: A Suggested Framework for Sustainable Ecotourism. Environmental Science and Pollution Research 30: 5917–30. [CrossRef] [PubMed] Boes, Kim, Dimitrios Buhalis, and Alessandro Inversini. 2016. Smart Tourism Destinations: Ecosystems for Tourism Destination Competitiveness. Edited by Lina Zhong and Chulmo Koo Ulrike Gretzel. International Journal of Tourism Cities 2: 108–24. [CrossRef] Brokaj, Rezarta. 2014. Local Governments Role in the Sustainable Tourism Development of a Destination. European Scientific Journal 10: 31. Buhalis, Dimitrios. 2019. Technology in Tourism-from Information Communication Technologies to ETourism and Smart Tourism towards Ambient Intelligence Tourism: A Perspective Article. Tourism Review 75: 267–72. [CrossRef] Buhalis, Dimitrios, and Yeyen Sinarta. 2019. Real-Time Co-Creation and Nowness Service: Lessons from Tourism and Hospitality. Journal of Travel & Tourism Marketing 36: 563–82. [CrossRef] Camón Luis, Enric, and Dolors Celma. 2020. Circular Economy. A Review and Bibliometric Analysis. Sustainability 12: 6381. [CrossRef] Chen, Chaomei. 2006. CiteSpace II: Detecting and Visualizing Emerging Trends and Transient Patterns in Scientific Literature. Journal of the American Society for Information Science and Technology 57: 359–77. [CrossRef] Cheng, Yufeng, Kai Zhu, Quan Zhou, Youssef El Archi, Moaaz Kabil, BulcsúRemenyik, and Lóránt Dénes Dávid. 2023. Tourism Ecological Efficiency and Sustainable Development in the Hanjiang River Basin: A Super-Efficiency Slacks-Based Measure Model Study. Sustainability 15: 6159. [CrossRef] Cobo, Manuel J., Antonio Gabriel López-Herrera, Enrique Herrera-Viedma, and Francisco Herrera. 2012. SciMAT: A New Science Mapping Analysis Software Tool. Journal of the American Society for Information Science and Technology 63: 1609–30. [CrossRef] Connell, Joanne, Stephen J. Page, and Tim Bentley. 2009. Towards Sustainable Tourism Planning in New Zealand: Monitoring Local Government Planning under the Resource Management Act. Tourism Management 30: 867–77. [CrossRef] Della Corte, Valentina, Giovanna Del Gaudio, Fabiana Sepe, and Fabiana Sciarelli. 2019. Sustainable Tourism in the Open Innovation Realm: A Bibliometric Analysis. Sustainability 11: 6114. [CrossRef] Dickinson, Janet E., Karen Ghali, Thomas Cherrett, Chris Speed, Nigel Davies, and Sarah Norgate. 2014. Tourism and the Smartphone App: Capabilities, Emerging Practice and Scope in the Travel Domain. Current Issues in Tourism 17: 84–101. [CrossRef] Donthu, Naveen, Satish Kumar, Debmalya Mukherjee, Nitesh Pandey, and Weng Marc Lim. 2021. How to Conduct a Bibliometric Analysis: An Overview and Guidelines. Journal of Business Research 133: 285–96. [CrossRef] Dunets, Alexandr Nikolaevich, Igor Borisovich Vakhrushev, Maria Gennadievna Sukhova, Maxim Sergeevich Sokolov, Kseniya Mihajlovna Utkina, and Rustem Adamovich Shichiyakh. 2019. Selection of Strategic Priorities for Sustainable Development of Tourism in a Mountain Region: Concentration of Tourist Infrastructure or Nature-Oriented Tourism. Entrepreneurship and Sustainability Issues 7: 1217. [CrossRef]
Adm. Sci. 2023,13, 184 19 of 21 Dwyer, Larry, Deborah Edwards, Nina Mistilis, Carolina Roman, and Noel Scott. 2009. Destination and Enterprise Management for a Tourism Future. Tourism Management 30: 63–74. [CrossRef] El Archi, Youssef, and Brahim Benbba. 2023a. The Applications of Technology Acceptance Models in Tourism and Hospitality Research: A Systematic Literature Review. Journal of Environmental Management and Tourism 14: 379–91. [CrossRef] El Archi, Youssef, and Brahim Benbba. 2023b. Role of Virtual Reality in Tourism Destination Marketing: Evidence from Morocco. In ISCONTOUR 2023 Tourism Research Perspectives: Proceedings of the International Student Conference in Tourism Research. Norderstedt: BoD–Books on Demand, p. 28. El Archi, Youssef, Brahim Benbba, Kai Zhu, Zineb El Andaloussi, LászlóPataki, and Lóránt Dénes Dávid. 2023a. Mapping the Nexus between Sustainability and Digitalization in Tourist Destinations: A Bibliometric Analysis. Sustainability 15: 9717. [CrossRef] El Archi, Youssef, Brahim Benbba, Zhulduz Nizamatdinova, Yerlan Issakov, Gálicz Ivett Vargáné, and Lóránt Dénes Dávid. 2023b. Systematic Literature Review Analysing Smart Tourism Destinations in Context of Sustainable Development: Current Applications and Future Directions. Sustainability 15: 5086. [CrossRef] Fang, Bin, Qiang Ye, and Rob Law. 2016. Effect of Sharing Economy on Tourism Industry Employment. Annals of Tourism Research 57: 264–67. [CrossRef] Fennell, David A. 2021. Technology and the Sustainable Tourist in the New Age of Disruption. Journal of Sustainable Tourism 29: 767–73. [CrossRef] Garfield, Eugene, S. Paris, and Wolfgang G. Stock. 2006. HistCite TM : A Software Tool for Informetric Analysis of Citation Linkage. HistCiteTM: A Software Tool for Informetric Analysis of Citation Linkage 57: 391–400. Gössling, Stefan. 2021. Tourism, Technology and ICT: A Critical Review of Affordances and Concessions. Journal of Sustainable Tourism 29: 733–50. [CrossRef] Guler, Arzu Tugce, Cathelijn J. F. Waaijer, Yassene Mohammed, and Magnus Palmblad. 2016. Automating Bibliometric Analyses Using Taverna Scientific Workflows: A Tutorial on Integrating Web Services. Journal of Informetrics 10: 830–41. [CrossRef] Guo, Yi-Ming, Zhen-Ling Huang, Ji Guo, Hua Li, Xing-Rong Guo, and Mpeoane Judith Nkeli. 2019. Bibliometric Analysis on Smart Cities Research. Sustainability 11: 3606. [CrossRef] Hallinger, Philip, and Vien-Thong Nguyen. 2020. Mapping the Landscape and Structure of Research on Education for Sustainable Development: A Bibliometric Review. Sustainability 12: 1947. [CrossRef] Hays, Stephanie, Stephen John Page, and Dimitrios Buhalis. 2013. Social Media as a Destination Marketing Tool: Its Use by National Tourism Organisations. Current Issues in Tourism 16: 211–39. [CrossRef] Kabil, Moaaz, Setiawan Priatmoko, Róbert Magda, and Lóránt Dénes Dávid. 2021. Blue Economy and Coastal Tourism: A Comprehensive Visualization Bibliometric Analysis. Sustainability 13: 3650. [CrossRef] Kabil, Moaaz, Mohamed Abouelhassan Ali, Ahmed Marzouk, and Lóránt Dénes Dávid. 2022a. Gender Perspectives in Tourism Studies: A Comparative Bibliometric Analysis in the MENA Region. In Tourism Planning & Development. Routledge: Taylor and Francis, pp. 1–23. [CrossRef] Kabil, Moaaz, Mohamed Abouelseoud, Faisal Alsubaie, Heba Mostafa Hassan, Imre Varga, Katalin Csobán, and Lóránt Dénes Dávid. 2022b. Evolutionary Relationship between Tourism and Real Estate: Evidence and Research Trends. Sustainability 14: 10177. [CrossRef] Kauppila, Pekka, Jarkko Saarinen, and Riikka Leinonen. 2009. Sustainable Tourism Planning and Regional Development in Peripheries: A Nordic View. Scandinavian Journal of Hospitality and Tourism 9: 424–35. [CrossRef] Lee, Tsung Hung, and Fen-Hauh Jan. 2018. Ecotourism Behavior of Nature-Based Tourists: An Integrative Framework. Journal of Travel Research 57: 792–810. [CrossRef] Leung, Daniel, Rob Law, Hubert Van Hoof, and Dimitrios Buhalis. 2013. Social Media in Tourism and Hospitality: A Literature Review. Journal of Travel & Tourism Marketing 30: 3–22. Li, Zhenhuan, Dake Wang, Jaffar Abbas, Saad Hassan, and Riaqa Mubeen. 2022. Tourists’ Health Risk Threats amid COVID-19 Era: Role of Technology Innovation, Transformation, and Recovery Implications for Sustainable Tourism. Frontiers in Psychology 12: 769175. [CrossRef] [PubMed] Lindemann-Matthies, Petra, Reinhold Briegel, Beatrice Schüpbach, and Xenia Junge. 2010. Aesthetic Preference for a Swiss Alpine Landscape: The Impact of Different Agricultural Land-Use with Different Biodiversity. Landscape and Urban Planning 98: 99–109. [CrossRef] Liu, Abby, and Geoffrey Wall. 2006. Planning Tourism Employment: A Developing Country Perspective. Tourism Management 27: 159–70. [CrossRef] Lozano-Oyola, Macarena, Francisco Javier Blancas, Mercedes González, and Rafael Caballero. 2012. Sustainable Tourism Indicators as Planning Tools in Cultural Destinations. Ecological Indicators 18: 659–75. [CrossRef] Maditati, Dhanavanth Reddy, Ziaul Haque Munim, Hans-Joachim Schramm, and Sebastian Kummer. 2018. A Review of Green Supply Chain Management: From Bibliometric Analysis to a Conceptual Framework and Future Research Directions. Resources, Conservation and Recycling 139: 150–62. [CrossRef] Mawby, Rob I., Alina S. Tecău, Cristinel P. Constantin, Ioana B. Chi t , u, and Bianca Tesca s , iu. 2016. Addressing the Security Concerns of Locals and Visitors for the Sustainable Development of Tourist Destinations. Sustainability 8: 524. [CrossRef] Mbaiwa, Joseph E. 2003. The Socio-Economic and Environmental Impacts of Tourism Development on the Okavango Delta, North- Western Botswana. Journal of Arid Environments 54: 447–67. [CrossRef]
Adm. Sci. 2023,13, 184 20 of 21 Moral-Muñoz, JoséA., Enrique Herrera-Viedma, Antonio Santisteban-Espejo, and Manuel J. Cobo. 2020. Software Tools for Conducting Bibliometric Analysis in Science: An up-to-Date Review. Profesional de La Información29. [CrossRef] Morandi, Gabriella, Davide Guido, and Anna Tagliabue. 2015. A Bibliometric Study of Scientific Literature on the Dietary Therapies for Epilepsy in Scopus. Nutritional Neuroscience 18: 201–9. [CrossRef] [PubMed] Nepal, Sanjay K. 2008. Tourism-Induced Rural Energy Consumption in the Annapurna Region of Nepal. Tourism Management 29: 89–100. [CrossRef] Netto, Carlai de Oliveira, Jorge Estuardo Tello-Gamarra, Carlai de Oliveira Netto, and Jorge Estuardo Tello-Gamarra. 2020. Sharing Economy: A Bibliometric Analysis, Research Trends and Research Agenda. Journal of Technology Management & Innovation 15: 41–55. [CrossRef] Neumannová, Michaela. 2022. Smart Districts: New Phenomenon in Sustainable Urban Development Case Study of Špitálka in Brno, Czech Republic. Folia Geographica 64: 27. Ogutu, Hellen, Youssef El Archi, and Lóránt Dénes Dávid. 2023. Current Trends in Sustainable Organization Management: A Bibliometric Analysis. Oeconomia Copernicana 14: 11–45. [CrossRef] Osareh, Farideh. 1996. Bibliometrics, Citation Analysis and Co-Citation Analysis: A Review of Literature I. International Journal of Libraries and Information Studies 46: 149–58. [CrossRef] Pan, Shu-Yuan, Mengyao Gao, Hyunook Kim, Kinjal J. Shah, Si-Lu Pei, and Pen-Chi Chiang. 2018. Advances and Challenges in Sustainable Tourism toward a Green Economy. Science of The Total Environment 635: 452–69. [CrossRef] Pencarelli, Tonino. 2020. The Digital Revolution in the Travel and Tourism Industry. Information Technology & Tourism 22: 455–76. [CrossRef] Polishchuk, Elizaveta, Zoltán Bujdosó, Youssef El Archi, Brahim Benbba, Kai Zhu, and Lóránt Dénes Dávid. 2023. The Theoretical Background of Virtual Reality and Its Implications for the Tourism Industry. Sustainability 15: 10534. [CrossRef] Pop, Rebeka-Anna, Zsuzsa Săplăcan, Dan-Cristian Dabija, and Mónika-Anetta Alt. 2022. The Impact of Social Media Influencers on Travel Decisions: The Role of Trust in Consumer Decision Journey. Current Issues in Tourism 25: 823–43. [CrossRef] Purwanda, Eka, and Willya Achmad. 2022. Environmental Concerns in the Framework of General Sustainable Development and Tourism Sustainability. Journal of Environmental Management & Tourism 13: 1911–17. Qureshi, Muhammad Imran, Nohman Khan, Shazia Qayyum, Subha Malik, Sanil S. Hishan, and Thurasamy Ramayah. 2020. Classifications of Sustainable Manufacturing Practices in ASEAN Region: A Systematic Review and Bibliometric Analysis of the Past Decade of Research. Sustainability 12: 8950. [CrossRef] Rosato, Pier Felice, Andrea Caputo, Donatella Valente, and Simone Pizzi. 2021. 2030 Agenda and Sustainable Business Models in Tourism: A Bibliometric Analysis. Ecological Indicators 121: 106978. [CrossRef] Salisbury, Lutishoor. 2009. Web of Science and Scopus: A Comparative Review of Content and Searching Capabilities. The Charleston Advisor 11: 5–18. Shen, Shiwei, Marios Sotiriadis, and Qing Zhou. 2020. Could Smart Tourists Be Sustainable and Responsible as Well? The Contribution of Social Networking Sites to Improving Their Sustainable and Responsible Behavior. Sustainability 12: 1470. [CrossRef] Sigala, Marianna, Evangelos Christou, and Ulrike Gretzel. 2012. Social Media in Travel, Tourism and Hospitality: Theory, Practice and Cases. Farnham: Ashgate Publishing, Ltd. Sisneros-Kidd, Abigail M., Christopher Monz, Vera Hausner, Jennifer Schmidt, and Douglas Clark. 2019. Nature-Based Tourism, Resource Dependence, and Resilience of Arctic Communities: Framing Complex Issues in a Changing Environment. Journal of Sustainable Tourism 27: 1259–76. [CrossRef] Smerecnik, Karl R., and Peter A. Andersen. 2011. The Diffusion of Environmental Sustainability Innovations in North American Hotels and Ski Resorts. Journal of Sustainable Tourism 19: 171–96. [CrossRef] Streimikiene, Dalia, Biruta Svagzdiene, Edmundas Jasinskas, and Arturas Simanavicius. 2021. Sustainable Tourism Development and Competitiveness: The Systematic Literature Review. Sustainable Development 29: 259–71. [CrossRef] Valderrama, Pilar, Evaristo Jiménez-Contreras, Manuel Escabias, and Mariano J. Valderrama. 2022. Introducing a Bibliometric Index Based on Factor Analysis. Scientometrics 127: 509–22. [CrossRef] van Eck, Nees Jan, and Ludo Waltman. 2010. Software Survey: VOSviewer, a Computer Program for Bibliometric Mapping. Scientometrics 84: 523–38. [CrossRef] [PubMed] Van, Nguyen Thi Thanh, Vasiliki Vrana, Nguyen Thien Duy, Doan Xuan Huy Minh, Pham Tien Dzung, Subhra R. Mondal, and Subhankar Das. 2020. The Role of Human–Machine Interactive Devices for Post-COVID-19 Innovative Sustainable Tourism in Ho Chi Minh City, Vietnam. Sustainability 12: 9523. [CrossRef] Weaver, David B. 2012. Organic, Incremental and Induced Paths to Sustainable Mass Tourism Convergence. Tourism Management 33: 1030–37. [CrossRef] Welford, Richard, and Bjarne Ytterhus. 2004. Sustainable Development and Tourism Destination Management: A Case Study of the Lillehammer Region, Norway. The International Journal of Sustainable Development & World Ecology 11: 410–22. Xiang, Zheng, and Ulrike Gretzel. 2010. Role of Social Media in Online Travel Information Search. Tourism Management 31: 179–88. [CrossRef] Xu, Feifei, Nicholas Nash, and Lorraine Whitmarsh. 2020. Big Data or Small Data? A Methodological Review of Sustainable Tourism. Journal of Sustainable Tourism 28: 144–63. [CrossRef]
Adm. Sci. 2023,13, 184 21 of 21 Zeggelink, Evelien P. H., Reinier Van Oosten, and Frans N. Stokman. 1996. Object Oriented Modeling Of Social Networks. Computational & Mathematical Organization Theory 2: 115–38. [CrossRef] Zupic, Ivan, and Tomaž ˇ Cater. 2015. Bibliometric Methods in Management and Organization. Organizational Research Methods 18: 429–72. [CrossRef] Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.