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Potentials Of Developing Artificial Intelligence Technology In The Sri Lankan Hotel Industry With Special Reference To Colombo District

Author

Listed:
  • Dananjaya Duleepa

    (Uva Wellassa University, Department of Tourism Studies, Sri Lanka)

  • Jayawardena Hasini

    (Uva Wellassa University, Department of Tourism Studies, Sri Lanka)

  • Ranasinghe Ruwan

    (Uva Wellassa University, Department of Tourism Studies, Sri Lanka)

Abstract

The intense competition and unpredictable challenges in hotel operations in Sri Lanka have led to the need to adopt new technologies to provide better services to guests and maximise efficiency and effectiveness. Therefore, the main objectives of this study were to examine various Artificial Intelligence tools used in hotels in Sri Lanka, explore managers' perceptions of Artificial Intelligence, and identify barriers to the implementation of Artificial Intelligence in hotels in Sri Lanka. Using a purposive sampling, 15 managers of star category hotels in the Colombo district were selected and interviewed using a structured interview method to explore the objectives. The findings derived from the thematic analysis showed that hotels in Sri Lanka have limited knowledge of AI applications and that the respondents' perception of AI technology is still at an early stage where they doubt and question its effectiveness compared to human resource services. The study found that the use of AI technology has significant potential, especially in new and emerging hotels, as these new hotels tend to engage with tech-savvy guests compared to existing hotels in Sri Lanka. Moreover, technological advancements in artificial intelligence will undoubtedly lead to an unimaginable hotel experience that will increase guest satisfaction in Sri Lanka's hotel industry.

Suggested Citation

  • Dananjaya Duleepa & Jayawardena Hasini & Ranasinghe Ruwan, 2023. "Potentials Of Developing Artificial Intelligence Technology In The Sri Lankan Hotel Industry With Special Reference To Colombo District," Cactus - The tourism journal for research, education, culture and soul, Bucharest University of Economic Studies, vol. 5(1), pages 36-44.
    • Handle: RePEc:bum:cactus:v:5:y:2023:i:1:p:36-44
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    References listed on IDEAS

    as
    1. Liu, Yu-li & Yan, Wenjia & Hu, Bo, 2021. "Resistance to facial recognition payment in China: The influence of privacy-related factors," Telecommunications Policy, Elsevier, vol. 45(5).
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    More about this item

    Keywords

    Artificial Intelligence; Artificial Intelligence Tools; Barriers; Managerial Perceptions; Technological Advancements;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Z32 - Other Special Topics - - Tourism Economics - - - Tourism and Development
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General

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