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Journal : Scientia: Journal of Multi-Disciplinary Science

Mobile-Based Marketing Innovation as an Effort to Increase Tourist Interaction and Engagement in the Tourism Industry Iswanto, Dedy; Irsyad, Ziqrurrahman; Istiqlal, Istiqlal
SCIENTIA: Journal of Multi Disciplinary Science Vol. 3 No. 2 (2024): July-December
Publisher : PT. Sangadji Media Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62394/scientia.v3i2.145

Abstract

This research aims to evaluate the influence of mobile-based marketing strategies on tourists' interaction with digital platforms in the tourism industry through a Systematic Literature Review (SLR) approach. The research process involved selecting literature from various academic databases, such as Google Scholar, Scopus, and DOAJ, with the keywords “mobile marketing,” “tourist interaction,” and “tourism” in the period 2014-2024. The research findings show that mobile technology significantly strengthens travelers' engagement with digital marketing tools, eases information access, and enhances a more personalized travel experience. Despite challenges related to data privacy and technological disruption, these strategies provide a competitive advantage for tourism destinations. This research also highlights the gaps in the application of mobile-based marketing in certain demographic segments, and the need for further research to formulate strategies that are inclusive and sustainable. Future research should focus on integrating digital marketing with traditional methods to create more meaningful and relevant tourism interactions.
The Role of Artificial Intelligence and Big Data in Improving Personalization of Tourism Marketing Campaigns to Maximize Tourist Experience Irsyad, Ziqrurrahman; Iswanto, Dedy; Istiqlal, Istiqlal
SCIENTIA: Journal of Multi Disciplinary Science Vol. 3 No. 2 (2024): July-December
Publisher : PT. Sangadji Media Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62394/scientia.v3i2.146

Abstract

This study aims to explore the integration of Artificial Intelligence (AI) and big data in the tourism industry to improve real-time interaction and traveler engagement on digital platforms through a Systematic Literature Review (SLR) approach. The study was conducted by selecting literature from academic databases such as Google Scholar, Scopus, and DOAJ, using keywords such as “AI,” “big data,” “tourism,” and “real-time interaction” within the time span of 2014-2024. The results showed that AI and big data significantly improved service personalization, accelerated decision-making, and increased operational efficiency in the tourism industry. Although the benefits are great, challenges in terms of data privacy, ethical use of consumer information, and shortage of skilled labor are still major barriers to implementation. This research highlights the gaps related to the integration of AI and big data alongside other technologies such as the Internet of Things (IoT) and robotics, and the importance of strategies to overcome organizational resistance to change. Future research should focus on professional skills development and solutions to data privacy challenges to accelerate the widespread adoption of these technologies in the tourism industry.