scholarly journals Innovative Tools for Tourism and Cultural Tourism Impact Assessment

2020 ◽  
Vol 12 (18) ◽  
pp. 7470
Author(s):  
Tarmo Kalvet ◽  
Maarja Olesk ◽  
Marek Tiits ◽  
Janika Raun
Keyword(s):  
Big Data ◽  
Business Models ◽  
Application Programming Interface ◽  
Cultural Tourism ◽  
Data Sources ◽  
Web Searches ◽  
Tourism Impact ◽  
Travel And Tourism ◽  
Mobile Positioning ◽  
Tourism Sector

The importance of data and evidence has increased considerably in policy planning, implementation, and evaluation. There is unprecedented availability of open and big data, and there are rapid developments in intelligence gathering and the application of analytical tools. While cultural heritage holds many tangible and intangible values for local communities and society in general, there is a knowledge gap regarding suitable methods and data sources to measure the impacts and develop data-driven policies of cultural tourism. In the tourism sector, rapid developments are particularly taking place around novel uses of mobile positioning data, web scraping, and open application programming interface (API) data, data on sharing, and collaborative economy and passenger data. Based on feedback from 15 European cultural tourism regions, recommendations are developed regarding the use of innovative tools and data sources in tourism management. In terms of potential analytical depth, it is especially advisable to explore the use of mobile positioning data. Yet, there are considerable barriers, especially in terms of privacy protection and ethics, in using such data. User-generated big data from social media, web searches, and website visits constitute another promising data source as it is often publicly available in real time and has low usage barriers. Due to the emergence of new platform-based business models in the travel and tourism sector, special attention should be paid to improving access and usage of data on sharing and collaborative economy.

Big Data in Cultural Tourism – Building Sustainability and Enhancing Competitiveness

2021 ◽  
Keyword(s):  
Big Data ◽  
Case Studies ◽  
Value Chain ◽  
New Technologies ◽  
Cultural Tourism ◽  
End Users ◽  
Ethical Implications ◽  
Tourism Sector ◽  
Cultural Experiences ◽  
Selection Of

The use of big data is becoming increasingly important across the tourism sector and the value chain. With this publication, UNWTO intends to provide a baseline research on using big data by tourism and culture stakeholders, in order to improve the competitiveness of cultural tourism and reinforce its sustainability. The study sets the basis to connect tourism, culture and new technologies for mutual benefits, while calling for a reflection on the ethical implications for policymakers, businesses and end-users. The selection of case studies illustrates the most frequent case-scenarios of the use of big data in cultural tourism within destinations, compiled during the research. As the new technologies are facing ever-evolving scenarios, their use will be harnessed by the tourism sector in its endeavour to innovate and provide new cultural experiences.

scholarly journals The Positive Impact of Implementation Business Intelligence and Big Data in Hospitality and Tourism Sector

2021 ◽  
Vol 11 (6) ◽  
pp. 59-71
Author(s):  
Evaristus Didik Madyatmadja ◽  
◽  
Chairunnissa Nur Aulia Adiba ◽  
David Jumpa Malem Sembiring ◽  
Debri Pristinella ◽  
...  
Keyword(s):  
Big Data ◽  
Business Intelligence ◽  
Business Models ◽  
Positive Impact ◽  
Tourism Industry ◽  
Journal Articles ◽  
Academic Journal ◽  
Tourism Sector ◽  
Hospitality And Tourism ◽  
Hospitality And Tourism Industry

In today’s digital era, technological developments are increasingly rapid, advanced, and have an incredibly positive impact on every aspect in various sectors (especially in industry). The increase in what is being done with the internet is bound to result in the data population increasing at a very fast rate as well. The huge amount of data and of various types makes it impossible to manage, analyze, interpret, and trace traditionally making it increasingly difficult for the industry to obtain relevant, timely, and unable to perform decision-making analysis due to a lack of time to actually consume the data so the industry has to work hard and spend a lot of money to produce quality information. Business intelligence and big data are forms of implementation that can answer the needs of all the hospitality and tourism industries. The purpose of this research paper is to explore, study, and discuss the results of a comprehensive analysis of many journal articles in understanding research related to the positive impacts in hospitality and tourism sector (especially in industry) after implementing business intelligence and big data based on empirical findings by employing a systematic literature review method from academic journal articles that have been indexed in the Scopus database and the Web of Science. Business intelligence and big data play a crucial role in an organization's digital transformation attempts in general in companies in hospitality and tourism industry, thereby can create a competitive advantage and be able to encourage greater effectiveness, efficiency, and strategies to determine new business models and bring successful and useful change for numerous company businesses in hospitality and tourism industry for numerous company businesses within the in hospitality and tourism industry

Re-Allocation of Taxing Rights for Big Data Business Models

2019 ◽  
Author(s):  
Johannes Becker ◽  
Joachim Englisch ◽  
Deborah Schanz
Keyword(s):  
Big Data ◽  
Business Models

Big Data Driven Clinical Informatics & Surveillance (BDD_CIS) – A Multimodal Database Focused Clinical, Community, and Multi-Omics Surveillance Plan for COVID-19: A study Protocol (Preprint)

2020 ◽  
Author(s):  
Bankole Olatosi ◽  
Jiajia Zhang ◽  
Sharon Weissman ◽  
Zhenlong Li ◽  
Jianjun Hu ◽  
...  
Keyword(s):  
Big Data ◽  
South Carolina ◽  
Data Science ◽  
Age Groups ◽  
The Elderly ◽  
The United States ◽  
Data Sources ◽  
Patient Registries ◽  
Multiple Partner ◽  
Multimodal Data

BACKGROUND The Coronavirus Disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus (SARS-CoV-2) remains a serious global pandemic. Currently, all age groups are at risk for infection but the elderly and persons with underlying health conditions are at higher risk of severe complications. In the United States (US), the pandemic curve is rapidly changing with over 6,786,352 cases and 199,024 deaths reported. South Carolina (SC) as of 9/21/2020 reported 138,624 cases and 3,212 deaths across the state. OBJECTIVE The growing availability of COVID-19 data provides a basis for deploying Big Data science to leverage multitudinal and multimodal data sources for incremental learning. Doing this requires the acquisition and collation of multiple data sources at the individual and county level. METHODS The population for the comprehensive database comes from statewide COVID-19 testing surveillance data (March 2020- till present) for all SC COVID-19 patients (N≈140,000). This project will 1) connect multiple partner data sources for prediction and intelligence gathering, 2) build a REDCap database that links de-identified multitudinal and multimodal data sources useful for machine learning and deep learning algorithms to enable further studies. Additional data will include hospital based COVID-19 patient registries, Health Sciences South Carolina (HSSC) data, data from the office of Revenue and Fiscal Affairs (RFA), and Area Health Resource Files (AHRF). RESULTS The project was funded as of June 2020 by the National Institutes for Health. CONCLUSIONS The development of such a linked and integrated database will allow for the identification of important predictors of short- and long-term clinical outcomes for SC COVID-19 patients using data science.

scholarly journals Entrepreneurship, Sport, Sustainability and Integration: A Business Model in the Low-Season Tourism Sector

2021 ◽  
Vol 10 (4) ◽  
pp. 117
Author(s):  
Ricardo Reier Forradellas ◽  
Sergio Náñez Alonso ◽  
Javier Jorge Vázquez ◽  
Miguel Ángel Echarte Fernández ◽  
Nicolas Vidal Miró
Keyword(s):  
Business Model ◽  
Business Models ◽  
Generation Model ◽  
Sustainable Business ◽  
Women's Sport ◽  
Participation Of Women ◽  
Tourism Sector ◽  
New Business ◽  
Global Tourism ◽  
Wealth Generation

The global tourism reality is changing, and not only because of the COVID-19 pandemic. This reality is especially representative in countries such as Spain, which are highly dependent on the income generated by the tourism sector. In these destinations, it is necessary to seek innovation and specialization in the sector in order to achieve new business models. This need is even more pressing in destinations overcrowded by the sun and beach effect, as is the case of Mallorca. The proposed work combines the concepts of sports tourism with the development of a wealth-generating business model that will contribute to promoting a tourism that is sustainable, environmentally friendly and deseasonalized. On the other hand, the proposed work will contribute to promoting integration and equality in the participation of women in sports through the development of a model based on the promotion of women’s football. Using the methodology of case analysis, the results of all the approaches outlined are provided, and we obtained a wealth-generation model that is easily replicable and sustainable over time. This work provides a solution to the combination of a sustainable business model that links responsible tourism, the promotion of women’s sport and the generation of wealth.

scholarly journals Travelling with a Guide Dog: Experiences of People with Vision Impairment

2021 ◽  
Vol 13 (5) ◽  
pp. 2840
Author(s):  
Jillian M. Rickly ◽  
Nigel Halpern ◽  
Marcus Hansen ◽  
John Welsman
Keyword(s):  
Vision Impairment ◽  
Service Access ◽  
Transport Accessibility ◽  
Travel And Tourism ◽  
The United Kingdom ◽  
Tourism Sector ◽  
Dog Owners ◽  
Real Time Information ◽  
Time Information

There is considerable research on people with vision impairment (PwVI) in the transport, travel and tourism sectors, which highlights the significance of real-time information and consistency in services to accessibility. Based on interviews with guide dog owners in the United Kingdom, this paper contributes an additional dimension to our understanding of transport accessibility for PwVI by focusing specifically on guide dog owners’ experiences in the travel and tourism sector. A guide dog is more than a mobility tool, but a human–dog partnership that improves the quality of life for PwVI; however, it also introduces constraints related to the dog’s welfare and safety. Further, lack of understanding of guide dog owners’ rights to reasonable accommodation leads to discrimination through service refusals and challenges to service access. This paper concludes that the limited and inconsistent public knowledge of disability diversity has serious ramifications for transport accessibility and suggests specific industry and legislative interventions in response.

scholarly journals Introduction to the Special Issue on New Longitudinal Data for Retirement Analysis and Policy

2021 ◽  
pp. 1-5
Author(s):  
Marco Angrisani ◽  
Anya Samek ◽  
Arie Kapteyn
Keyword(s):  
Big Data ◽  
Academic Research ◽  
Cost Effective ◽  
Research Data ◽  
Data Sources ◽  
Special Issue ◽  
Administrative Records ◽  
The Past ◽  
Survey Questionnaires ◽  
Internet Panels

The number of data sources available for academic research on retirement economics and policy has increased rapidly in the past two decades. Data quality and comparability across studies have also improved considerably, with survey questionnaires progressively converging towards common ways of eliciting the same measurable concepts. Probability-based Internet panels have become a more accepted and recognized tool to obtain research data, allowing for fast, flexible, and cost-effective data collection compared to more traditional modes such as in-person and phone interviews. In an era of big data, academic research has also increasingly been able to access administrative records (e.g., Kostøl and Mogstad, 2014; Cesarini et al., 2016), private-sector financial records (e.g., Gelman et al., 2014), and administrative data married with surveys (Ameriks et al., 2020), to answer questions that could not be successfully tackled otherwise.

Mapping the United Nations Fundamental Principles of Official Statistics against new and big data sources

2021 ◽  
Vol 37 (1) ◽  
pp. 161-169
Author(s):  
Dominik Rozkrut ◽  
Olga Świerkot-Strużewska ◽  
Gemma Van Halderen
Keyword(s):  
Big Data ◽  
Public Information ◽  
Fundamental Principle ◽  
Data Sources ◽  
Official Statistics ◽  
Development Agenda ◽  
Data Gaps ◽  
Data Source ◽  
Exciting Time ◽  
Statistical Systems

Never has there been a more exciting time to be an official statistician. The data revolution is responding to the demands of the CoVID-19 pandemic and a complex sustainable development agenda to improve how data is produced and used, to close data gaps to prevent discrimination, to build capacity and data literacy, to modernize data collection systems and to liberate data to promote transparency and accountability. But can all data be liberated in the production and communication of official statistics? This paper explores the UN Fundamental Principles of Official Statistics in the context of eight new and big data sources. The paper concludes each data source can be used for the production of official statistics in adherence with the Fundamental Principles and argues these data sources should be used if National Statistical Systems are to adhere to the first Fundamental Principle of compiling and making available official statistics that honor citizen’s entitlement to public information.

Big Data and Sustainable Consumption: A Review and Research Agenda

2021 ◽  
pp. 097226292110225
Author(s):  
Shobhana Chandra ◽  
Sanjeev Verma
Keyword(s):  
Big Data ◽  
Consumer Behaviour ◽  
Business Models ◽  
Sustainable Consumption ◽  
Big Data Analytics ◽  
Consumption Behaviour ◽  
Consumer Experiences ◽  
Systematic Understanding ◽  
The Impact

Big data (BD) is making advances in promoting sustainable consumption behaviour and has attracted the attention of researchers worldwide. Despite the increased focus, the findings of studies on this topic are fragmented, and future researchers need a systematic understanding of the existing literature for identification of the research scope. This study offers a systematic review of the role of BD in promoting sustainable-consumption behaviour with the help of a bibliometric analysis, followed by a thematic analysis. The findings suggest that businesses deploy BD to create sustainable consumer experiences, predict consumer buying patterns, design and alter business models and create nudges for sustainable consumption, while consumers are forcing businesses to develop green operations and supply chains to reduce the latter’s carbon footprint. The major research gaps for future researchers are in the following areas: the impact of big data analytics (BDA) on consumerism, the role of BD in the formation of sustainable habits and consumer knowledge creation for sustainable consumption and prediction of green consumer behaviour.

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