A Big Data Analytics Method for Tourist Behaviour Analysis

Miah, Shah Jahan; Vu, Huy Quan; Gammack, John; McGrath, G. Michael

doi:10.1016/j.im.2016.11.011

Cited by 325 publications

(254 citation statements)

References 55 publications

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“…This theme is noted in tourism research as tourism marketing tools [106]. The third theme includes Internet of Things (IoT), cloud computing, and big data [107][108][109][110][111][112][113]. Sensor technology that constitutes IoT will play a critical role in collecting real time data for big data analytics [30].…”

Section: Smart Tourism From the Technology Perspectivementioning

confidence: 99%

The Role of Mobile Technology in Tourism: Patents, Articles, News, and Mobile Tour App Reviews

Kim

2017

Sustainability

107

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Abstract:The purpose of this research is to identify the status and role of mobile technology in achieving sustainable and smart tourism, and to suggest future research and strategy directions for academia and managers in practice. This research utilized multiple sources, such as patents, academic articles, and news, and selected methodologies optimized for the purpose of each study. Study 1 used Netminer, a social network analysis program, to analyze the relationships between patent's International Patent Classification (IPC) codes. Study 2 used the T-LAB program for content analysis to analyze the texts of patents, journal articles, and news. Study 3 used the Leximancer program, which utilizes relative frequency to analyze mobile app consumer reviews. In study 1, we identified various forms of data related technologies and mobile technologies for smart city systems and maps. In study 2, we found the environment, sustainability, business, and market themes to be related to mobile technology. In study 3, we explored consumers' attitudes and preferences for mobile travel app using their reviews. Advances in mobile technology are expected to create innovative experiences for consumers, foster a sustainable competitive advantage for tourism destinations and tourism-related suppliers, and create sustainable competencies for smart tourism.

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Section: Smart Tourism From the Technology Perspectivementioning

confidence: 99%

The Role of Mobile Technology in Tourism: Patents, Articles, News, and Mobile Tour App Reviews

Kim

2017

Sustainability

107

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“…Today, due to the aforementioned potential and exponential growth in the use of social media in travelling, the tourism and hospitality industry appears to be an ideal field for social media analytics. For instance, big data has been used by Miah et al [8] for tourist behaviour analysis; Jabreel et al [9] for semantic comparison of emotional values; Kirilenko et al [10] to conduct sentiment analysis of public attitudes; and by Liu et al [11] to analyse the satisfaction of guests in the hospitality field.…”

Section: Introductionmentioning

confidence: 99%

Measuring Destination Image through Travel Reviews in Search Engines

Mariné-Roig

2017

Sustainability

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Abstract:In recent years, mobile phones and access points to free Wi-Fi services have been enhanced, which has made it easier for travellers to share their stories, pictures, and video clips online during a trip. At the same time, online travel review (OTR) websites have grown significantly, allowing users to post their travel experiences, opinions, comments, and ratings in a structured way. Moreover, Internet search engines play a crucial role in locating and presenting OTRs before and throughout a trip. This evolution of social media and information and communication technologies has upset the classic sources of information of the projected tourist destination image (TDI), allowing electronic word-of-mouth to occupy a prominent position. Hence, the aim of this paper is to propose a method based on big data technologies for analysing and measuring the perceived (and transmitted) TDI from OTRs as presented in search engines, emphasising the cognitive, spatial, temporal, evaluative, and affective TDI dimensions. To test this approach, a massive analysis of metadata processed by search engines was performed on 387,414 TripAdvisor OTRs on 'Things to Do' in Île de France, an outstanding smart tourist destination. The results obtained are consistent and allow for the extraction of insights and business intelligence.

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“…They allow for new forms of analytics and for market re-segmentation (Miah et al 2017;Rosenberger et al 2009;Singer 2006;Xu et al 2016). This generated widespread interest in 'big data' analyses.…”

Section: Diagnosis: New Grounds For Competitive Advantagementioning

confidence: 99%

New Media and Strategy Research: Towards a Relational Agency Approach

Gulbrandsen

Plesner

Raviola

2019

Int J Management Reviews

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A rapidly growing body of literature focuses on the relationship between new media and strategy, and offers recommendations regarding appropriate strategic actions in relation to new media. This paper systematically reviews 130 articles with a focus on the diagnoses they provide and the directions they offer strategists regarding the role of new media in strategy. The analysis identifies four main ways of conceptualizing new media in the literature: as forces in an increasingly turbulent strategic environment; as changing the role of strategists; as tools for strategically engaging stakeholders; and as both increasing and decreasing the control necessary for strategy making. These conceptualizations are based on often‐implicit assumptions about ‘agency’ in strategy: new media are seen either as forces influencing strategy or as tools in the hands of humans, who are portrayed as the agents of strategy. In both cases, new media are black‐boxed, such that their specific properties and ways of becoming embedded in particular contexts are rarely examined. After discussing these assumptions and a limited number of studies that challenge them, the paper develops an approach to strategy and new media based on a relational understanding of agency, an attention to technological affordances and a methodological sensitivity to tracing strategy‐making assemblages of human and non‐human elements. We argue that future research based on this approach will advance our knowledge of strategy making in ways that do not take new media for granted and ways that are attentive to different kinds of agency.

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A Big Data Analytics Method for Tourist Behaviour Analysis

Cited by 325 publications

References 55 publications

The Role of Mobile Technology in Tourism: Patents, Articles, News, and Mobile Tour App Reviews

The Role of Mobile Technology in Tourism: Patents, Articles, News, and Mobile Tour App Reviews

Measuring Destination Image through Travel Reviews in Search Engines

New Media and Strategy Research: Towards a Relational Agency Approach

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