Open linked data and mobile devices as e-tourism tools. A practical approach to collaborative e-learning

Fermoso, Ana Ma; Mateos, Mariano Raboso; Beato, M. Encarnación; Gallinas, Roberto Berjón

doi:10.1016/j.chb.2015.02.032

Cited by 39 publications

(36 citation statements)

References 7 publications

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“…For example, in order to address the concerns for early adopter SMTEs, the association can arrange related awareness programs to minimise this barrier. Similarly, by identifying the areas where the relevant association can help, the model can also be used to foster collaboration with the government and learning among other stakeholders (Fermoso, Mateos, Beato & Berjón, 2015).…”

Section: Implications To Practice and Policymentioning

confidence: 99%

Exploration and implication of factors affecting e-tourism adoption in developing countries: a case of Nepal

Lama

Pradhan

Shrestha

2020

Inf Technol Tourism

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E-tourism plays a pivotal role in delivering services to tourists by enhancing travel experiences. While small tourism service providers in the developed economies can efficiently take advantage of e-tourism by partnering with global online platforms such as TripAdvisor or Booking.com, small tourism service providers in developing countries often struggle to reach global markets due to factors that are unique to the country they operate in. The aim of this study, therefore, is to identify the key barriers and motivators of e-tourism adoption for small and medium tourism enterprises (SMTEs) in developing countries. Nepal is selected as the case study due to its enormous tourism potential that is plagued by typical challenges. Based on the 'Technology, Organization and Environment (TOE)' framework and 'e-readiness' model, this study identified ten key factors that affect e-tourism adoption by SMTEs in Nepal. A mixed-method approach, using interviews with seven key stakeholders and a survey with 198 SMTEs, were employed for data collection and validation of the proposed factors. Finally, an e-tourism adoption model highlighting the barriers and motivators for e-tourism by SMTEs is presented. This research found that e-tourism adoption by SMTEs in Nepal is affected by environmental factors related to national infrastructure, market size, country-specific contextual factors and organizational factors comprising e-tourism awareness, ICT resources, value proposition, and top management support. This study offers implications for policy and practice towards effective e-tourism adoption in other developing countries.

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Section: Implications To Practice and Policymentioning

confidence: 99%

Exploration and implication of factors affecting e-tourism adoption in developing countries: a case of Nepal

Lama

Pradhan

Shrestha

2020

Inf Technol Tourism

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“…In addition many researchers also incorporated linked open data into ontology concept for their purpose in tourism domain [72]- [75]. Arigi et al [72] proposed a context recommender based on the ontology system to represent knowledge in the tourism domain.…”

Section: B Linked Open Data For Tourismmentioning

confidence: 99%

“…As the prediction of missing values is a crucial component then they used both basic regression methods and reasoning with equations. García et al [75] implemented the SmartTourism, which is a touristic mobile application. They showed a possibility to generate knowledge using semantic ontology and learning from the collaboration among different data sources using linked open data.…”

Section: B Linked Open Data For Tourismmentioning

confidence: 99%

Linked Open Data in Location-Based Recommendation System on Tourism Domain: A Survey

Yochum

Chang

et al. 2020

IEEE Access

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Linked open data is a relatively new topic area with great potential in a wide range of fields. In the tourism domain, many studies are using linked open data to address the problem of location-based recommendation by integrating data with other linked open datasets to enrich data and tourism content for reacting to the needs of tourists. This work aims not only to present a systematic review and mapping of the linked open data in location-based recommendation system on tourism domain, but also to provide an overview of the current research status in the area. First, we classify journal papers in this area from 2001 to 2018 by the year of publication. Second, we analyze and categorize journal papers by the different recommendation applications including problem formulations, data collections, proposed algorithms/systems, and experimental results. Third, we group the linked open data sources used in location-based recommendation system on tourism. Next, we summarize the research achievements and present the distribution of the different categories of location-based recommendation applications via linked open data. Last, we also guide the possible future research direction for the linked open data in location-based recommendations on tourism.

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“…14 The data sources are different from the traditional in era of big data, user data received more attention, and it is being mining and utilized by use case, 15 and user recommendation and sharing is becoming a basis for product development. [16][17][18] The understructure of the product design pattern based on big data and its flow from the virtual digital world to the real physical world. 19 Data is a base medium between the network and the physical space, and from the initial data to the big data's applications toward integrated, complex queries and intelligent prediction analysis, and so on.…”

Section: Introductionmentioning

confidence: 99%

Product design pattern based on big data-driven scenario

Zhu

2016

Advances in Mechanical Engineering

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This article discusses about new product design patterns in the big data era, gives designer a new rational thinking way, and is a new way to understand the design of the product. Based on the key criteria of the product design process, category, element, and product are used to input the data, which comprises concrete data and abstract data as an enlargement of the criteria of product design process for the establishment of a big data-driven product design pattern's model. Moreover, an experiment and a product design case are conducted to verify the feasibility of the new pattern. Ultimately, we will conclude that the data-driven product design has two patterns: one is the concrete data supporting the product design, namely ''product-data-product'' pattern, and the second is based on the value of the abstract data for product design, namely ''data-product-data'' pattern. Through the data, users are involving themselves in the design development process. Data and product form a huge network, and data plays a role of connection or node. So the essence of the design is to find a new connection based on element, and to find a new node based on category.

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Open linked data and mobile devices as e-tourism tools. A practical approach to collaborative e-learning

Cited by 39 publications

References 7 publications

Exploration and implication of factors affecting e-tourism adoption in developing countries: a case of Nepal

Exploration and implication of factors affecting e-tourism adoption in developing countries: a case of Nepal

Linked Open Data in Location-Based Recommendation System on Tourism Domain: A Survey

Product design pattern based on big data-driven scenario

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