Makan@local chatok: mobile eatery recommendation system based on local knowledge
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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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2020
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| Subjects: | |
| Online Access: | https://repo.uum.edu.my/id/eprint/27022/1/iJIM%2014%20%205%202020%20120%20149.pdf |
| _version_ | 1825805577366798336 |
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| author | Sarif, Siti Mahfuzah Hanafi, Zurina Mohamed, Shafinah Farvin Packeer Zaibon, Syamsul Bahrin Mohamad Mohsin, Mohamad Farhan |
| author_facet | Sarif, Siti Mahfuzah Hanafi, Zurina Mohamed, Shafinah Farvin Packeer Zaibon, Syamsul Bahrin Mohamad Mohsin, Mohamad Farhan |
| author_sort | Sarif, Siti Mahfuzah |
| collection | UUM |
| description | 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. |
| first_indexed | 2024-07-04T06:34:35Z |
| format | Article |
| id | uum-27022 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T06:34:35Z |
| publishDate | 2020 |
| record_format | eprints |
| spelling | uum-270222020-05-17T07:03:37Z https://repo.uum.edu.my/id/eprint/27022/ Makan@local chatok: mobile eatery recommendation system based on local knowledge Sarif, Siti Mahfuzah Hanafi, Zurina Mohamed, Shafinah Farvin Packeer Zaibon, Syamsul Bahrin Mohamad Mohsin, Mohamad Farhan QA75 Electronic computers. Computer science 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. 2020 Article PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/27022/1/iJIM%2014%20%205%202020%20120%20149.pdf 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 http://doi.org/10.3991/ijim.v14i05.13357 doi:10.3991/ijim.v14i05.13357 doi:10.3991/ijim.v14i05.13357 |
| spellingShingle | QA75 Electronic computers. Computer science Sarif, Siti Mahfuzah Hanafi, Zurina Mohamed, Shafinah Farvin Packeer Zaibon, Syamsul Bahrin Mohamad Mohsin, Mohamad Farhan Makan@local chatok: mobile eatery recommendation system based on local knowledge |
| title | Makan@local chatok: mobile eatery recommendation system based on local knowledge |
| title_full | Makan@local chatok: mobile eatery recommendation system based on local knowledge |
| title_fullStr | Makan@local chatok: mobile eatery recommendation system based on local knowledge |
| title_full_unstemmed | Makan@local chatok: mobile eatery recommendation system based on local knowledge |
| title_short | Makan@local chatok: mobile eatery recommendation system based on local knowledge |
| title_sort | makan local chatok mobile eatery recommendation system based on local knowledge |
| topic | QA75 Electronic computers. Computer science |
| url | https://repo.uum.edu.my/id/eprint/27022/1/iJIM%2014%20%205%202020%20120%20149.pdf |
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