The Vumba Tourist Aid Mobile Application

Authors

DOI:

https://doi.org/10.71458/76zd1r14

Keywords:

digital tourism tools, geo-navigation, tourist experience, travel planning

Abstract

The Vumba region of the Mutare District, Manicaland Province, Zimbabwe, has been experiencing problems with disjointed and unavailable information regarding local attraction sites, accommodation and cultural sites in the region. The research seeks to create and test the Vumba Tourist Aid (VTA) mobile application as a digital tool in assisting tourists in planning trips and travelling. The research takes a mixed-methods research approach, involving quantitative survey and qualitative feedback that was used to evaluate user experience and effectiveness. The study sample included both domestic and international tourists who visit the Vumba region and a sample size of 120 was used which was selected using convenience sampling. A structured measure parameters like ease of navigation, information accessibility, user satisfaction and general effect on travelling experience. Results show that 82% of the interviewees found geo[1]navigation very helpful, 76% were interested in background information in their native language. The majority of the interviewees said they had a more interactive and fulfilling tourist experience using geo-navigation than under the guidance of conventional tourism guides. The findings show that the VTA app can be an invaluable tool in marketing tourism, improving tourist satisfaction and, perhaps, driving tourist attraction to Mutare. The research suggests to add the local business data and updates in real time to enhance the utility of the app even more.

Author Biographies

  • Njodzi Ranganai, Department of Information and Marketing Science, Midlands State University, Gweru, Zimbabwe

    NJODZI RANGANAI is a holder of Master of Commerce degree in Information Systems, Great Zimbabwe University (2014), BSc Honors degree in Information systems (2010) Midlands State University and Post graduate diploma in education PGDE (Zimbabwe Open University), He is currently a lecturer at Manicaland state university of applied sciences in the Department of Computer Science & Information Systems teaching, Data communication and computer networks, Software engineering, Management Information Systems, Advanced data communication and Information system security Audit and Control. His current research areas include applications of machine learning Digital inclusion, digital transformation, and Data communication and computer security networks. His expertise covers applications of Computer Science in agriculture, tourism in business and ICT policy development for university library and different levels supporting ICTs networking at the university.

  • Paul Sambo, Great Zimbabwe University, Department of Mathematics and Computer Sciences, Masvingo, Zimbabwe

    Dr Paul Sambo is an accomplished Information Communication Technology (ICT) specialist with a keen focus on advancing research in various fields of computer science. With a strong foundation in artificial intelligence (AI) and machine learning (ML), Dr Sambo explores innovative techniques that enhance data processing and decision-making systems. His expertise extends to computational intelligence, where he investigates algorithms that simulate human cognitive functions, aiming to improve automation and problem-solving in complex environments. Dr Sambo is also passionate about data communication, studying effective methods of transmitting and receiving data across networks to optimize performance and security. His work in software engineering emphasizes the development of robust applications that leverage AI and ML to deliver intelligent solutions. Committed to academic excellence, Dr Sambo actively contributes to research initiatives and collaborates with peers to push the boundaries of technology, making significant strides in the ICT landscape. His interdisciplinary approach positions him as a leading figure in shaping the future of computer science.

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Published

2026-08-24

Issue

Section

Articles

How to Cite

Ranganai , N., Gotami , N., Zivanai, L., Chipfumbu, C., Magoso , M., Sambo, P., & Mawere, G. (2026). The Vumba Tourist Aid Mobile Application. Kuveza NeKuumba: The Zimbabwe Ezekiel Guti University Journal of Design, Innovative Thinking and Practice, 5(2), Pages: 84- 111. https://doi.org/10.71458/76zd1r14