Tourist Experience and Digital Transformation

Erdem, Ahmet; ŞEKER, Ferhat

doi:10.4018/978-1-7998-8528-3.ch006

Cited by 6 publications

(4 citation statements)

References 38 publications

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“…Additionally, it aims to promote sustainable tourism practices and minimize the environmental impact of the industry. (Erdem and Şeker, 2022) • Transparency: The transparency concept aims to foster open governance and citizen participation. It involves implementing digital platforms and tools that enable transparent decision-making processes, open data sharing, and citizen engagement.…”

Section: Testing and Development Of Data-related Conceptsmentioning

confidence: 99%

Facilitating Data Sovereignty and Digital Transformation in Municipalities and Companies: An Examination of the Data for All Initiative

Frick

2023

IJBA

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Access to comprehensive and up-to-date knowledge in the field of data is crucial for municipalities and regional authorities to make informed decisions and effectively address challenges. The Data for All project 2022-2025 (Data for All 2023) explores the benefits of online tools that provides comprehensive and intuitive access to knowledge in the field of data, specifically designed to support the needs of municipalities and regional authorities.The online tools offer a user-friendly interface that enables easy exploration and analysis of data sets relevant to various aspects of governance, planning, and service delivery. It consolidates diverse data sources, including public records, surveys, and real-time data feeds, into a unified platform. The tools employ advanced data visualization techniques, interactive dashboards, and customizable reports to present complex information in a clear and digestible manner.The benefits of these data access tools for municipalities, companies and regional authorities are manifold. Firstly, it facilitates evidence-based decision-making by providing access to reliable and up-to-date data. Decision-makers can quickly access relevant data sets, conduct in-depth analysis, and identify trends and patterns that inform policy development, resource allocation, and service planning.Secondly, the tools enhance transparency and accountability by making data readily available to the public. Municipalities and regional authorities can leverage the platform to share information on key metrics, performance indicators, and public services, fostering trust and engagement with citizens. Additionally, the tools enable data-driven performance monitoring, allowing authorities to track progress, evaluate outcomes, and continuously improve service delivery.Furthermore, case studies of the tool's implementation and use will illustrate its effectiveness in diverse contexts. For instance, a regional authority may utilize the tool to analyze transportation data, leading to optimized route planning, reduced congestion, and improved public transportation services. Another municipality may leverage the tool to monitor environmental indicators, leading to evidence-based sustainability initiatives and informed land-use planning.In conclusion, the online data access tools will provide municipalities and regional authorities with a powerful resource to leverage data-driven decision-making, enhance transparency, and drive effective governance. Its user-friendly interface, comprehensive data coverage, and customizable features will enable authorities to harness the potential of data for improved service delivery and better outcomes for their communities.

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Section: Testing and Development Of Data-related Conceptsmentioning

confidence: 99%

Facilitating Data Sovereignty and Digital Transformation in Municipalities and Companies: An Examination of the Data for All Initiative

Frick

2023

IJBA

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“…Tang [3] suggested that metaverse could be used in educational systems accessible everywhere to provide beneficial experiences for students. Erdem and Şeker [4] discovered that smart tourism was developing along with the expansion of ubiquitous computing and metaverse systems. This is because metaverse technology provides a personalized experience.…”

Section: Metaverse and Ubiquitous Computingmentioning

confidence: 99%

“…Regarding the emergence of metaverse, various platforms and applications are increasingly attempting to utilize the technology in their service [2]. Because this new trend is occurring in various fields (e.g., learning system, tour system), ubiquitous computing infrastructure in relevant fields are being established [3,4]. Moreover, considering the introduction of metaverse, several users can use the diverse metaverse applications in mobile and PC environments [5].…”

Section: Introductionmentioning

confidence: 99%

Enhancing the Prediction of User Satisfaction with Metaverse Service Through Machine Learning

Lee¹,

Lee²,

Kim³

2022

Computers, Materials &Amp; Continua

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Metaverse is one of the main technologies in the daily lives of several people, such as education, tour systems, and mobile application services. Particularly, the number of users of mobile metaverse applications is increasing owing to the merit of accessibility everywhere. To provide an improved service, it is important to analyze online reviews that contain user satisfaction. Several previous studies have utilized traditional methods, such as the structural equation model (SEM) and technology acceptance method (TAM) for exploring user satisfaction, using limited survey data. These methods may not be appropriate for analyzing the users of mobile applications. To overcome this limitation, several researchers perform user experience analysis through online reviews and star ratings. However, some online reviews occasionally have inconsistencies between the star rating and the sentiment of the text. This variation disturbs the performance of machine learning. To alleviate the inconsistencies, Valence Aware Dictionary and sEntiment Reasoner (VADER), which is a sentiment classifier based on lexicon, is introduced. The current study aims to build a more accurate sentiment classifier based on machine learning with VADER. In this study, five sentiment classifiers are used, such as Naïve Bayes, K-Nearest Neighbors (KNN), Logistic Regression, Light Gradient Boosting Machine (LightGBM), and Categorical boosting algorithm (Catboost) with three embedding methods (Bag-of-Words (BoW), Term Frequency-Inverse Document Frequency (TF-IDF), Word2Vec). The results show that classifiers that apply VADER outperform those that do not apply VADER, excluding one classifier (Logistic Regression with Word2Vec). Moreover, LightGBM with TF-IDF has the highest accuracy 88.68% among other models.

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“…Tourism has been an early adopter of digital transformation, incorporating technologies like IoT, Big Data and information and communications (Erdem and Şeker, 2022; Gretzel et al , 2015). To ensure competitiveness and growth, the digitized tourism sector must explore new business prospects (Dredge et al , 2019).…”

Section: Introductionmentioning

confidence: 99%

Digital transformation in tourism sector: trends and future perspectives from a bibliometric-content analysis

Kumar

Bhatt

et al. 2023

JHTI

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PurposeThis article analyzes research on digital transformation in the tourism sector, providing insights into leading work, authors, journals, trends and future research opportunities. However, limited in-depth research exists on this topic, and the existing studies lack an understanding of its development, scope and relevant areas.Design/methodology/approachThe study utilized the Scopus database to identify 61 articles on digital transformation in the tourism sector. The research employed VOSviewer software to analyze publication and citation structure, incorporating bibliometric variables like co-authorship, co-citation network, keywords co-occurrence network and bibliographic coupling.FindingsThe study yielded valuable insights from top-cited articles, revealing their contributions to digital transformation in tourism research. It also highlighted publication trends and the impact of authors, journals and studies and conducted co-occurrence, co-authorship and bibliographic analyses to identify key trends and issues in the tourism sector. The study calls for further examination of the digital revolution in tourism research and outlines future opportunities for researchers in this area.Research limitations/implicationsTo enhance the comprehensiveness of data collection, it is recommended that researchers consider including publications from databases such as WOS (Web of Science), Dimensions and PubMed in addition to the Scopus database. This broader inclusion of sources can provide different network structures and valuable insights from the field of digital transformation in the tourism sector.Originality/valueThe research provides substantial value to the study of digital transformation in tourism by focusing on bibliometric data from the Scopus database for the period from 2017 to 2022. By analyzing this data, it identifies significant trends in digital transformation within tourism research. Additionally, the study uncovers new areas of digitization in the tourism sector, further enhancing its value and relevance.

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Tourist Experience and Digital Transformation

Cited by 6 publications

References 38 publications

Facilitating Data Sovereignty and Digital Transformation in Municipalities and Companies: An Examination of the Data for All Initiative

Facilitating Data Sovereignty and Digital Transformation in Municipalities and Companies: An Examination of the Data for All Initiative

Enhancing the Prediction of User Satisfaction with Metaverse Service Through Machine Learning

Digital transformation in tourism sector: trends and future perspectives from a bibliometric-content analysis

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