Please use this identifier to cite or link to this item: http://ir.lib.seu.ac.lk/handle/123456789/5822
Title: Smart technologies in tourism: a study using systematic review and grounded theory
Authors: Mohamed Nafrees, Abdul Cader
Shibly, Firthouse Hassan Ahamed
Keywords: IoT
Smart Technology,
Smart Tourism
Systematic Review
Tourism
Issue Date: 25-Oct-2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: International Research Conference on Smart Computing and Systems Engineering (SCSE), Vol:04; 2021, pp. 8-13
Abstract: Tourism that uses smart technology and practices to boost resource management and sustainability while growing their businesses' overall competitiveness is known as smart tourism. Information and communication technologies (ICTs) have had a profound impact on the tourism industry, and they continue to be the key drivers of tourism innovation. ICTs have fundamentally changed the way tourism products are developed, presented, and offered, according to the literature. Any empirical studies or experiments must be focused on accepted or formed hypotheses. In this regard, grounded theory measures were used for interpretation, while a systematic review was performed to assess the research scope from current studies and works. The main goal of the study is to investigate and propose long-lasting and stable smart technologies for implementing smart tourism. Grounded theory is a concept that uses methodical rules to gather and dissect data in order to construct an unbiased theory. Fewer studies on smart technology in tourism have been conducted, with a majority of them concentrating on IoT, virtual and augmented reality, big data, cloud computing, and mobile applications. In either case, there is space for further investigation into this important field of study. As a result, this paper is a vital first step toward a clearer understanding of how smart technology can be applied to the tourism industry. The number of available research work on smart technologies in tourism were fewer from the selected journals and conference proceedings, which led to the accessibility of lesser data for analysis.
Description: Published in: 2021 International Research Conference on Smart Computing and Systems Engineering (SCSE)
URI: https://doi.org/10.1109/SCSE53661.2021.9568338
http://ir.lib.seu.ac.lk/handle/123456789/5822
ISBN: 978-1-6654-0965-0
ISSN: 2613-8662
Appears in Collections:Research Articles



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