AI Integration on Capacity Building among University Graduate in Tourism Industry


Authors : Abdulrahman Malik Haji; Kassim Omar Kassim

Volume/Issue : Volume 9 - 2024, Issue 8 - August

Google Scholar : https://tinyurl.com/ymyc828e

Scribd : https://tinyurl.com/vjaex2jt

DOI : https://doi.org/10.38124/ijisrt/IJISRT24AUG1199

Abstract : The study assessed integration of AI in capacity building among university graduate in Tourism Industry. The study was started by identify the application of AI in tourism industry and evaluate graduate capability on applying those AI applications related to tourism industry. An additional objective was to identify challenges and provide solution by examine under which circumstances the adoption of AI applications could enable tourism graduates to increase their performance and competency in job market. Furthermore, the study explored the contribution of AI awareness and AI tools optimization to improve graduate employability through Conceptual frame work derived by RBV theory and Goal setting theory. The researchers utilized descriptive research methodology which employed both qualitative and quantitative method. A sample of 55 students from the institute of tourism SUZA were provided by questionnaire to answer specified questions and interview was used to get data from experts in tourism industry. Subsequently, SPSS and Thematic analysis were used to analyze the responded data. The findings noted various tourism students using AI technology in different activities such as Google translator, Google map, gps track, self-service kiosks etc. Moreover, the results of the findings explored the adequacy of existing AI infrastructure at tourism institute is not good in terms of curriculum adaptation. However, the findings further revealed that, there were few number of students who have no idea about AI which result delaying factors during job application and less awareness of online information. Moreover, the findings indicated that high percentage of graduate students agreed that AI has great impact on studies that enhance graduate employability in today world.

Keywords : Tourism Industry, Artificial Intelligence, Capacity Building, University Graduate, Employability.

References :

  1. Abdi K, S and Nasser, A S (2023) The impact of government initiatives in addressing challenges facing youth graduates in Zanzibar: A case study of Zanzibar Youth Council. SUMAIT University Journal (SUJ) ISSN (e- ISSN2953-2698) Issue No.12 (June).
  2. Al-Hattami A, Muammar O M and  Elmahdi I (2023) The need for professional training programs to improve faculty members teaching skills.
  3. Bulchand-Gidumal, J. (2022). Impact of artificial intelligence in travel, tourism, and hospitality. In Handbook of e-Tourism (pp. 1943-1962). Springer.
  4. Conway, K. (2011), “How prepared are students for postgraduate study? A comparison of the information literacy skills of commencing undergraduate and postgraduate information studies students at Curtin University”, Australian Academic & Research Libraries, Vol. 42 No. 2, pp. 121-135.
  5. Drexel University (2023) How to use Technology in the Classroom Benefits and Effects. https://drexel.edu/soe/resources/student-teaching/advice/ accessed on 07/11/2023.
  6. Gao, M. (2023). Research on the Application of Artificial Intelligence in Night Tourism. 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023),
  7. Hasebrook, J. Saha, A, (2017) Web 2.0 Job hunting: How students look for job, ISNM, Iternational School of new media University of Luebek Germany.
  8. Kiger, M. E., & Varpio, L. (2020). Thematic analysis of qualitative data: AMEE Guide No. 131. Medical teacher, 42(8), 846-854.
  9. Maguire, M. & Delahunt, B. (2017). Doing Thematic Analysis: A practical, step-by-step Guide for Learning and Teaching Scholars. AISHEE-J, 3351.
  10. Moyo, B., & Özgit, H. (2022). Tourism graduate students’ employability skills: Results and implications of a Zimbabwean study. Journal of Psychology in Africa, 32(3), 268-274.
  11. Oke, Elizabeth Abiola, (2023) Ict Usage and Tourism Destination Patronage in Nigeria.ISSN: 2993-8732.
  12. Rathore M.K. and Sonawat R. (2015). Integration of technology in education and its impact on learning of students. International Journal of Applied Home Science, 2(7&8): 235-246.
  13. Rempel, H.G. (2010), “A longitudinal assessment of graduate student research behavior and the impact of attending a library literature review workshop”, College & Research Libraries, Vol. 71 No. 6, pp. 532-547.
  14. Reed, M. (2018). The Classification of Artificial Intelligence as" Social Actors".
  15. Razack, F. (2017). Employability attributes for tourism management graduates: The perspective of tour operators in Gauteng. University of Johannesburg (South Africa).
  16. Stroumpoulis, A., Kopanaki, E., & Varelas, S. (2022). Role of artificial intelligence and big data analytics in smart tourism: a resource-based view approach. WIT Transactions on Ecology and the Environment, 256(2022), 99-108.
  17. Roschelle J at al (2009) Integration of Technology, Curriculum, and Professional Development, for Advancing Middle School Mathematics: Three Large-Scale Studies. Journal of American Educational Research.
  18. Samala, N., Katkam, B. S., Bellamkonda, R. S., & Rodriguez, R. V. (2020). Impact of AI and robotics in the tourism sector: a critical insight. Journal of tourism futures, 8(1), 73-87.
  19. Shabnaz, S., & Shajahan, B. (2022). Employability Skill required for Human Resource Graduates: A Literature Review. AIUB Journal of Business and Economics, 19(2), 146-154.
  20. Wakelin-Theron, N., Ukpere, W. I., & Spowart, J. (2019). Determining tourism graduate employability, knowledge, skills, and competencies in a VUCA world: Constructing a tourism employability model. African Journal of Hospitality, Tourism and Leisure, 8(3), 1-18.

The study assessed integration of AI in capacity building among university graduate in Tourism Industry. The study was started by identify the application of AI in tourism industry and evaluate graduate capability on applying those AI applications related to tourism industry. An additional objective was to identify challenges and provide solution by examine under which circumstances the adoption of AI applications could enable tourism graduates to increase their performance and competency in job market. Furthermore, the study explored the contribution of AI awareness and AI tools optimization to improve graduate employability through Conceptual frame work derived by RBV theory and Goal setting theory. The researchers utilized descriptive research methodology which employed both qualitative and quantitative method. A sample of 55 students from the institute of tourism SUZA were provided by questionnaire to answer specified questions and interview was used to get data from experts in tourism industry. Subsequently, SPSS and Thematic analysis were used to analyze the responded data. The findings noted various tourism students using AI technology in different activities such as Google translator, Google map, gps track, self-service kiosks etc. Moreover, the results of the findings explored the adequacy of existing AI infrastructure at tourism institute is not good in terms of curriculum adaptation. However, the findings further revealed that, there were few number of students who have no idea about AI which result delaying factors during job application and less awareness of online information. Moreover, the findings indicated that high percentage of graduate students agreed that AI has great impact on studies that enhance graduate employability in today world.

Keywords : Tourism Industry, Artificial Intelligence, Capacity Building, University Graduate, Employability.

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe