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 :
- 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).
- Al-Hattami A, Muammar O M and Elmahdi I (2023) The need for professional training programs to improve faculty members teaching skills.
- Bulchand-Gidumal, J. (2022). Impact of artificial intelligence in travel, tourism, and hospitality. In Handbook of e-Tourism (pp. 1943-1962). Springer.
- 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.
- 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.
- 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),
- 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.
- Kiger, M. E., & Varpio, L. (2020). Thematic analysis of qualitative data: AMEE Guide No. 131. Medical teacher, 42(8), 846-854.
- Maguire, M. & Delahunt, B. (2017). Doing Thematic Analysis: A practical, step-by-step Guide for Learning and Teaching Scholars. AISHEE-J, 3351.
- 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.
- Oke, Elizabeth Abiola, (2023) Ict Usage and Tourism Destination Patronage in Nigeria.ISSN: 2993-8732.
- 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.
- 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.
- Reed, M. (2018). The Classification of Artificial Intelligence as" Social Actors".
- Razack, F. (2017). Employability attributes for tourism management graduates: The perspective of tour operators in Gauteng. University of Johannesburg (South Africa).
- 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.
- 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.
- 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.
- 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.
- 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.