TOMI: A Framework for Smart Tourism on the Move Innovation

Moustaka, Vaia; Vakali, Athena; Zikos, Nikos; Tsirakidis, Theoklis; Ανθόπουλος, Λεωνίδας

doi:10.1145/3308560.3317051

Cited by 6 publications

(3 citation statements)

References 25 publications

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“…Much research came from European countries, such as the UK, that proposes an intelligent hospitality ecosystem framework, a big data implementation framework, and a data value creation framework. Besides, studies from Portugal, Sweden, Spain, Greece, and Italy also made a significant impact in this area, such as proposing a Destination Management Information System (DMIS) (Fuchs et al, 2013), Hospitality Big Data Warehouse (HBDW) (Ramos et al, 2017), Data Analytics Framework (DAF) (Michele et al, 2019), UGC data mining and analytics (Marine-Roig & Clavé, 2015), and a framework for smart tourism on transportation (Moustaka et al, 2019). In Asian countries, we found research from China that proposes a framework for competitive intelligence in the hotel industry (Yan-Li & He-feng, 2016) and artificial intelligence in smart tourism (Tsaih & Hsu, 2018).…”

Section: Demographic Data Of Previous Researchmentioning

confidence: 99%

“…Transport management in tourism includes the processes and structures used to handle tourist physical transportation needs and requirements. Data from vehicles, travelers, and social networks help transport operators arrange attractive and efficient packages, adjust demand-based service rates, and manage their resources effectively (Moustaka et al, 2019). Travelers would also profit from affordable pricing and the quality of services customized to their needs and desires by using tour data analytics.…”

Section: Transport Managementmentioning

confidence: 99%

“…Lastly, the technological dimension includes the practical fundamentals of the BI (Fuchs et al, 2013;Hamilton et al, 2008;Moustaka et al, 2019;Ramos et al, 2015Ramos et al, , 2017Sinha et al, 2017;Tsaih & Hsu, 2018;Vajirakachorn & Chongwatpol, 2017;Yan-Li & He-feng, 2016). Technology-related issues are the most common problems found in BI implementations.…”

Section: Issues In Implementation Of Bi For Tourismmentioning

confidence: 99%

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A Systematic Literature Review of Business Intelligence Framework for Tourism Organizations: Functions and Issues

Ibrahim

Handayani

2022

IJIKM

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Aim/Purpose: The main goal of this systematic literature review was to look for studies that provide information relevant to business intelligence’s (BI) framework development and implementation in the tourism sector. This paper tries to classify the tourism sectors where BI is implemented, group various BI functionalities, and identify common problems encountered by previous research. Background: There has been an increased need for BI implementation to support decision-making in the tourism sector. Tourism stakeholders such as management of destination, accommodation, transportation, and public administration need a guideline to understand functional requirements before implementation. This paper addresses the problem by comprehensively reviewing the functionalities and issues that need to be considered based on previous business intelligence framework development and implementation in tourism sectors. Methodology: We have conducted a systematic literature review using the Preferred Reporting Items for Systematic Reviews and Guidelines for Meta-Analysis (PRISMA) method. The search is conducted using online academic database platforms, resulting in 543 initial articles published from 2002 to 2022. Contribution: The paper could be of interest to relevant stakeholders in the tourism industry because it provides an overview of the capabilities and limitations of business intelligence for tourism. To our knowledge, this is the first study to identify and classify the BI functionalities needed for tourism sectors and implementation issues related to organizations, people, and technologies that need to be considered. Findings: BI functionalities identified in this study include basic functions such as data analysis, reports, dashboards, data visualization, performance metrics, and key performance indicator, and advanced functions such as predictive analytics, trend indicators, strategic planning tools, profitability analysis, benchmarking, budgeting, and forecasting. When implementing BI, the issues that need to be considered include organizational, people and process, and technological issues. Recommendations for Practitioners: As data is a major issue in BI implementation, tourism stakeholders, especially in developing countries, may need to build a tourism data center or centralized coordination regulated by the government. They can implement basic functions first before implementing more advanced features later. Recommendation for Researchers: We recommend further studying the BI implementation barriers by employing a perspective of an adoption framework such as the technology, organization, and environment (TOE) framework. Impact on Society: This research has a potential impact on improving the tourism industry’s performance by providing insight to stakeholders about what is needed to help them make more accurate decisions using business intelligence. Future Research: Future research may involve collaboration between practitioners and academics in developing various BI architectures specific to each tourism industry, such as destination management, hospitality, or transportation.

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Section: Demographic Data Of Previous Researchmentioning

confidence: 99%

Section: Transport Managementmentioning

confidence: 99%

Section: Issues In Implementation Of Bi For Tourismmentioning

confidence: 99%

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A Systematic Literature Review of Business Intelligence Framework for Tourism Organizations: Functions and Issues

Ibrahim

Handayani

2022

IJIKM

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The Role of ICT Applied to Tourism and Marketing in Asia

Ramos

Hassan²

2022

Technology Application in Tourism in Asia

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Enhancing sustainable development through tourism digitalisation: a systematic literature review

Rodrigues

Eusébio

Breda

2022

Inf Technol Tourism

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The world’s economic structure is increasingly moving towards a digital framework, boosted by the fourth industrial revolution. As a versatile sector, tourism is also embedded within this digital transformation process, albeit at a slower pace due to the uncountable challenges and uncertainties surrounding it. Nevertheless, the most recent implications of the pandemic crisis warned both managers and politicians of the urgent need for new development paths aligned with sustainability, particularly with the United Nations’ sustainable development goals. Furthermore, direct issues related to tourism activity, such as overtourism, pollution, and economic dependency, call for alternative and balanced approaches. Smart and digital solutions might play a key role in this process, but little is known concerning their potential. Aiming to extend knowledge concerning these potentials, a systematic literature review was conducted to examine the state-of-the-art about the implications of digital transformation in tourism as a catalyst for sustainable development, identifying gaps and providing directions for future research. From the analysis of 38 manuscripts, visitor experience, destination management, business solutions, and smart sustainable destinations emerged as the most common topics. However, inconsistencies were identified concerning the management narratives and the actual implementation of smart approaches. Additionally, the novelty of the concepts gravitating around smart tourism promotes some theoretical inconsistencies, which also need to be remedied.

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TOMI: A Framework for Smart Tourism on the Move Innovation

Cited by 6 publications

References 25 publications

A Systematic Literature Review of Business Intelligence Framework for Tourism Organizations: Functions and Issues

A Systematic Literature Review of Business Intelligence Framework for Tourism Organizations: Functions and Issues

The Role of ICT Applied to Tourism and Marketing in Asia

Enhancing sustainable development through tourism digitalisation: a systematic literature review

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