Big Data Analytics Implications for Smart Tourism Destinations Towards the Enrichment of Content Tourism

Authors

  • N. Padmaja Department of Computer Science and Engineering, School of Engineering and Technology, Sri Padmavati Mahila Visva Vidyalayam, Tirupati, Andhra Pradesh, India
  • T. Sudha Department of Computer Science and Engineering, School of Engineering and Technology, Sri Padmavati Mahila Visva Vidyalayam, Tirupati, Andhra Pradesh, India

DOI:

https://doi.org/10.51983/ajcst-2019.8.S3.2114

Keywords:

Smart Tourism, Stakeholders, Business Models, Patterns

Abstract

Smart tourism has huge amount of Social Big data available from tourists can cherish the value conception process for a Smart Tourism Destination. Applying a multiple-case study analysis, a set of regional tourist experiences related and destination, to derive patterns and opportunities of value creation generated by Big Data in tourism. Near conclusions and data in terms of improving decision making, creating marketing strategies with more personalized offerings, transparency and trust in dialogue with customers and stakeholders, and emergence of new business models, exploitation of Big Data in the context of information-intensive industries and mainly in Tourism. Smart Tourism Destination today is the front line of study in the tourism field and is a promising area from various research perspectives in terms of models, tools and strategies to keep up the process of intelligent configuration of destinations.

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Published

05-06-2019

How to Cite

Padmaja, N., & Sudha, T. (2019). Big Data Analytics Implications for Smart Tourism Destinations Towards the Enrichment of Content Tourism. Asian Journal of Computer Science and Technology, 8(S3), 7–11. https://doi.org/10.51983/ajcst-2019.8.S3.2114

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