Sarif, Siti Mahfuzah and Hanafi, Zurina and Mohamed, Shafinah Farvin Packeer and Zaibon, Syamsul Bahrin and Mohamad Mohsin, Mohamad Farhan (2020) Makan@local chatok: mobile eatery recommendation system based on local knowledge. International Journal of Interactive Mobile Technologies (iJIM), 14 (05). pp. 129-149. ISSN 1865-7923
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Abstract
This paper discusses a unique business model of eatery recommended system based on local knowledge using mobile platform. The business model is developed to define the business concept of the innovation which is a rural innovation involving multiple entities (locals, eatery owners and users who are searching for eatery). The innovation highlights on local knowledge crowd sourced from the participation of locals through ramification activities included in the mobile app. In achieving the aim, the design science methodology was adapted in this study which consists of 4 phases: (i) Awareness of Problem, (ii) Suggestion, (iii) Evaluation, and (iv) Conclusion. The proposed business model was developed through a few activities including literature review, comparative study and preliminary study. Then, the study continued with developing a prototype known as Makan@Local Chatok (M@LC) app and evaluated the app in terms of its usability aspects. Results from the usability testing concludes that the app is perceived as easy to use. It was also found that the proposed business model has been well-accepted by users. In conclusion, it is hoped that this study will not only demonstrate the potential and impact of mobile eatery recommendation system using local knowledge, but also provide a capstone on business research in the field of tourism industry.
Item Type: | Article |
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Uncontrolled Keywords: | Mobile recommender system, local knowledge, gamification |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | School of Multimedia Technology & Communication |
Depositing User: | Mrs. Norazmilah Yaakub |
Date Deposited: | 17 May 2020 07:03 |
Last Modified: | 17 May 2020 07:03 |
URI: | https://repo.uum.edu.my/id/eprint/27022 |
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