Systematic review of mobile travel apps and their smart features and challenges

Author:

Sia Phoebe Yueng-HeeORCID,Saidin Siti Salina,Iskandar Yulita Hanum P.

Abstract

PurposeMobile travel apps (MTA) smart features were identified based on recent travel application (app) trends and a literature review of MTA smart features. Subsequently, the MTA features that could be prioritised to increase user interest in MTA were determined. The MTA smart feature development challenges that should be mitigated were also identified.Design/methodology/approachThe app identification and selection were based on the one-stop solution characteristics containing the common function of travel apps and eight MTA smart features. A total of 193 Apple apps and 250 Google apps were identified, where 36 apps that met the inclusion and exclusion criteria based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses flowchart were selected for evaluation.FindingsThe high user ratings for apps from both app stores revealed the acceptance of smart technology in the tourism industry. Geolocation tracking services, travel itinerary generators, and real-time personalisation and recommendation were the three major features available in the included MTA. The challenges of MTA with smart features were highlighted from the tourism organisation, app developer and user perspectives.Practical implicationsThe findings can guide tourism organisations and app developers on the smart features that MTA should offer for user engagement. Technological organisations could optimise their technology stack by considering the identified smart features. The findings are valuable for scholars in terms of MTA aesthetics and usability to gain acceptability. The development challenges included significant investment in technology, location accuracy and privacy concerns when implementing MTA smart features.Originality/valueThe previous literature mainly focused on evaluating app quality, assessing app functionality, and user ratings using the Mobile Application Rating Scale, and scoping reviews of MTA articles. Contrastingly, this study is among the first in which MTA smart features were examined from a developer-centric perspective. Moreover, it is suggested that MTA includes integrated smart features for better tourism services and market penetration in the tourism industry.

Publisher

Emerald

Subject

Tourism, Leisure and Hospitality Management

Reference46 articles.

1. Internet of Things: geographical Routing based on healthcare centers vicinity for mobile smart tourism destination;Technological Forecasting and Social Change,2017

2. Amorim, M., Mar, A., Monteiro, F., Sylaiou, S., Pereira, P. and Martins, J. (2018), “Smart tourism routes based on real time data and evolutionary algorithms”, in Brumana, R., Fink, E. and Wallace, M. (Eds), Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection - 7th International Conference, EuroMed 2018, Proceedings, Springer, Cham, pp. 417-426.

3. Behavioural intention to use travel mobile apps in Malaysia;Journal of Tourism, Hospitality and Environment Management,2019

4. Determinants of behavioral intention to use the personalized location-based mobile tourism application (PLMTA): an empirical study by integrating TAM with ISSM;Future Generation Computer Systems,2017

5. Colorwhistle (2022), “11 must have mobile app features for travel and tourism industry”, Colorwhistle, available at: https://colorwhistle.com/travel-mobile-app-features/ (accessed 21 February 2022).

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