AI SearchUsage of web scraping in business market research in the travel industry
Call Number: AIT RSPR no.SM-24-02 Material type:
SeriesSeries: Asian Institute of Technology. Research studies project report ; no. SM-24-02Publication details: Pathum Thani : Asian Institute of Technology, 2024Description: 116 leaves : ill. + 1 online resourceSubject(s): Online resources: Dissertation note: Research Studies Project Report (M. Sc.) - Asian Institute of Technology, 2024 Summary: The travel industry is highly competitive, and businesses within this sector require up to-date data to attract customers and stay ahead. Web scraping has emerged as a valuable tool for acquiring data from various online sources, including travel websites, hotel booking platforms, airline websites, and review sites. This thesis explores the usage of web scraping in business market research within the travel industry. It examines the applications of web scraping, the global market size and forecast, growth drivers, challenges, and ethical and legal considerations. Additionally, it explores the role of data-driven decision-making, big data, marketing, market research, and business intelligence in the context of web scraping. The methodology section outlines the research approach, participants, data collection, and analysis techniques. The thesis concludes with a discussion of the applications of web scraping in market research within the travel industry, alternative ways of data extraction, best practices, challenges, and recommendations. Overall, this research provides insights into the benefits and implications of utilizing web scraping in business market research in the travel industry, offering guidance for organizations looking to leverage this technology effectively.
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Asian Institute of Technology Library Archives | AIT RSPR no.SM-24-02 (Browse shelf(Opens below)) | Not for loan |
A research submitted in partial fulfillment of the requirements for the degree of Master of Science in Business Analytics and Digital Transformation
Research Studies Project Report (M. Sc.) - Asian Institute of Technology, 2024
The travel industry is highly competitive, and businesses within this sector require up to-date data to attract customers and stay ahead. Web scraping has emerged as a valuable tool for acquiring data from various online sources, including travel websites, hotel booking platforms, airline websites, and review sites. This thesis explores the usage of web scraping in business market research within the travel industry. It examines the applications of web scraping, the global market size and forecast, growth drivers, challenges, and ethical and legal considerations. Additionally, it explores the role of data-driven decision-making, big data, marketing, market research, and business intelligence in the context of web scraping. The methodology section outlines the research approach, participants, data collection, and analysis techniques. The thesis concludes with a discussion of the applications of web scraping in market research within the travel industry, alternative ways of data extraction, best practices, challenges, and recommendations. Overall, this research provides insights into the benefits and implications of utilizing web scraping in business market research in the travel industry, offering guidance for organizations looking to leverage this technology effectively.
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