Challenges of the Tourism and Hospitality Industry in Business Analytics Adoption: An Article Perspective

Authors

  • Josephine N. Biadora Graduate School of Business Administration Pamantasan ng Lungsod ng Maynila, Intramuros, Manila, 1002, Philippines
  • Xavier Lawrence D. Mendoza Graduate School of Business Administration Pamantasan ng Lungsod ng Maynila, Intramuros, Manila, 1002, Philippines
  • Arianne Hyden S. Tonio Graduate School of Business Administration Pamantasan ng Lungsod ng Maynila, Intramuros, Manila, 1002, Philippines

DOI:

https://doi.org/10.52218/ijbtob.v4i2.312

Abstract

Business Analytics (BA) is increasingly used by tourism and hospitality businesses to improve customer experience, streamline operations, and boost revenue. However, the adoption of business analytics has created different challenges. A mini literature review was used in the study to identify challenges in the tourism and hospitality industries, focusing on adopting business analytics and identifying future research opportunities. The study found that the industry's growing customer data collection raises concerns about data issues, skills and resources, and organizational factors. Furthermore, addressing challenges like data management, skill gaps, and technological integration through strategic investments, research-driven insight, and ethical data practices can lead to sustainable growth and competitive advantage.

 

Keywords: business analytics, tourism, hospitality industry, challenges, business performance

Downloads

Download data is not yet available.

References

Abas, S. M., Rasheed, B. H., Abas, S. S. A., & Kumar, K. S. (2023). A Review on Utilization of Business Analytics strategy in Tourism Industry. IIRJET, 9(2). https://doi.org/10.32595/iirjet.org/v9i2.2023.187

Amiri, M., & Ramos, C. M. (2024). Potential of business intelligence and analytics on the performance of tourism and hospitality companies. In Advanced Intelligence Systems and Innovation in Entrepreneurship (pp. 168-195). IGI Global.

Ardito, L., Cerchione, R., Del Vecchio, P., & Raguseo, E. (2019). Big data in smart tourism: challenges, issues and opportunities. Current Issues in Tourism, 22(15), 1805–1809. https://doi.org/10.1080/13683500.2019.1612860

Camilleri, M. A. (2019). The use of data-driven technologies in tourism marketing. In Entrepreneurship, Innovation and Inequality (pp. 182-194). Routledge. https://www.routledge.com/Entrepreneurship-Innovation-and-Inequality-Exploring-Territorial-Dynamics/Ratten-Alvarez-Garcia-Rio-Rama/p/book/9780367263218

Chissom, D. . (2024). Post-Pandemic Trends in the Hospitality Industry. Journal of Modern Hospitality, 3(3), 1–13. https://doi.org/10.47941/jmh.1961

Collins, L. (2014). Mini Literature Review: A new type of literature review article. Journal of Family Business Management, pp. 1–7. https://www.emeraldgrouppublishing.com/archived/products/journals/call_for_papers.htm%3Fid%3D5730

Coutinho, R. J. P. (2024). The evolution of knowledge sharing in post-pandemic business tourism. In Shifts in Knowledge Sharing and Creativity for Business Tourism (pp. 187-207). IGI Global. DOI: 10.4018/979-8-3693-2619-0.ch011

Dang, T. D., & Nguyen, M. T. (2023). Systematic review and research agenda for the tourism and hospitality sector: co-creating customer value in the digital age. Future Business Journal, 9(1). https://doi.org/10.1186/s43093-023-00274-5

Disimulacion, M. A. T. (2021). Philippine MICE Tourism Post-Covid 19: An overview of challenges and opportunities. Asia Pacific International Events Management Journal, 2(1), 35-45.

Ebiesuwa, S., Ukandu, O., Falana, T., Adio, A., Kanu. R. (2023). Impact of business intelligence and analytics on decision-making in online reservation systems within the hospitality sector. Indian Journal of Computer Science and Engineering, 14(4), 640–651. https://doi.org/10.21817/indjcse/2023/v14i4/231404002

Florence W., D. N.. (2023). Post COVID resilience and recovery strategy for tourism in developing countries: Tourism and hospitality innovations during the COVID-19 pandemic. Journal of Hospitality and Tourism, 3(2), 1–19. https://doi.org/10.47672/jht.1480

Ghafar, N. H. (2022). Big data analytics in the Southeast Asian aviation, tourism, and hospitality industries: Current and future developments. In Digital Transformation in Aviation, Tourism and Hospitality in Southeast Asia (pp. 72-85). Routledge.

Hurbean, L., Militaru, F., Muntean, M., & Danaiata, D. (2023). The impact of business intelligence and analytics adoption on decision-making effectiveness and managerial work performance. Scientific Annals of Economics and Business, 70(SI), 43-54. https://doi.org/10.47743/saeb-2023-0012

Hussinki, H. (2022). Business Analytics and Firm Performance: A Literature Review. Proceedings of the . . . European Conference on Knowledge Management, 23(1), 527–532. https://doi.org/10.34190/eckm.23.1.560

Jiménez-Partearroyo, M., Medina-López, A., & Rana, S. (2024). Business intelligence and business analytics in tourism: insights through Gioia methodology. International Entrepreneurship and Management Journal, 1-35. https://doi.org/10.1007/s11365-024-00973-7

Khoalenyane, N. B., & Ajani, O. A. (2024). Life after COVID-19: Artificial intelligence in hotels; in-depth literature review. International Journal of Management, Knowledge and Learning, 13. https://doi.org/10.53615/2232-5697.13.93-104

Kumar, A., & Krishnamoorthy, B. (2020). Business analytics adoption in firms: A qualitative study elaborating TOE framework in India. International Journal of Global Business and Competitiveness, 15(2), 80–93. https://doi.org/10.1007/s42943-020-00013-5

Lee, M., Cai, Y., DeFranco, A., & Lee, J. (2020). Exploring influential factors affecting guest satisfaction: Big data and business analytics in consumer-generated reviews. Journal of Hospitality and Tourism Technology, 11(1), 137-153. https://doi.org/10.1108/JHTT-07-2018-0054

Liu, S., Liu, O., & Chen, J. (2023). A review on business analytics: definitions, techniques, applications, and challenges. Mathematics, 11(4), 899. https://doi.org/10.3390/math11040899

Marcolin, C., Becker, J. L., Wild, F., Schiavi, G., & Behr, A. (2019). Business analytics in tourism: Uncovering knowledge from crowds. BAR-Brazilian Administration Review, 16, e180136. https://doi.org/10.1590/1807-7692bar2019180136

Mariani, M., & Baggio, R. (2022). Big data and analytics in hospitality and tourism: a systematic literature review. International Journal of Contemporary Hospitality Management, 34(1), 231-278. https://dx.doi.org/10.1108/IJCHM-03-2021-0301

Mariani, M. (2020). Big data and analytics in tourism and hospitality: a perspective article. Tourism Review, 75(1), 299–303. https://doi.org/10.1108/TR-06-2019-0259

Mnyakin, M. (2023). Big Data in the Hospitality Industry: Prospects, Obstacles, and Strategies. International Journal of Business Intelligence and Big Data Analytics, 6(1), 12–22. Retrieved from https://research.tensorgate.org/index.php/IJBIBDA/article/view/4

Mordor Intelligence. (2024). Philippines Tourism & Hotel Market Analysis. https://www.mordorintelligence.com/industry-reports/market-entry-tourism-and-hotel-industry-in-philippines/market-size

Mousavian, S., Miah, S. J., & Zhong, Y. (2023). A design concept of big data analytics model for managers in hospitality industries. Personal and Ubiquitous Computing, 27(4), 1509–1519. https://doi.org/10.1007/s00779-023-01714-3

Navales, B. B. ., Dumlao, E. R. ., & Abug, N. B. . (2023). An inquiry to the working environment inclusivity among lqbtq members: A multi-level mixed design models. International Journal of Business, Technology and Organizational Behavior (IJBTOB), 3(4), 307–327. https://doi.org/10.52218/ijbtob.v3i4.285

Sakas, D. P., Reklitis, D. P., Terzi, M. C., & Vassilakis, C. (2022). Multichannel digital marketing optimizations through big data analytics in the tourism and hospitality industry. Journal of Theoretical and Applied Electronic Commerce Research, 17(4), 1383-1408. https://doi.org/10.3390/jtaer17040070

Sequeira, R., Mota, M., Costa, R., & Luty, P. (2023). Business Intelligence Implementation Roadmap for Hospitality and Tourism Industry: Exploraty Work. E3: Revista de Economia, Empresas e Empreendedores na CPLP, 9(2). https://doi.org/10.29073/e3.v9i2.850

Silaban, D. P. (2022). Challenges in Business Analytics Implementation: A Comprehensive review using TOE Framework. Milestone, 2(2), 131. https://doi.org/10.19166/ms.v2i2.5953

Yallop, A., & Seraphin, H. (2020). Big data and analytics in tourism and hospitality: opportunities and risks. Journal of Tourism Futures, 6(3), 257–262. https://doi.org/10.1108/jtf-10-2019-0108

Yin, J., & Fernandez, V. (2020). A systematic review on business analytics. Journal of Industrial Engineering and Management (JIEM), 13(2), 283-295. https://doi.org/10.3926/jiem.3030

Yu, S. B. (2020). Paraisong Nawala: Exploring Sustainable Ecotourism in the Philippines. Scripps Senior Theses. 1464. https://scholarship.claremont.edu/scripps_theses/1464

Zafra, M. A. G. (2021). Developing the Philippine blue economy: Opportunities and challenges in the ocean tourism sector. ADBI Working Paper No. 1291. https://hdl.handle.net/10419/249470

Downloads

Published

31-08-2024

How to Cite

Biadora, J. N., Mendoza, X. L. D., & Tonio, A. H. S. . (2024). Challenges of the Tourism and Hospitality Industry in Business Analytics Adoption: An Article Perspective. International Journal of Business, Technology and Organizational Behavior (IJBTOB), 4(2), 67–77. https://doi.org/10.52218/ijbtob.v4i2.312

Most read articles by the same author(s)