Redirigiendo al acceso original de articulo en 23 segundos...
ARTÍCULO
TITULO

Makan@Local Chatok: Mobile Eatery Recommendation System Based on Local Knowledge

Siti Mahfuzah Sarif    
Zurina Hanafi    
Shafinah Farvin Packeer Mohamed    
Syamsul Bahrin Zaibon    
Mohamad Farhan Mohamad Mohsin    

Resumen

This paper discusses a unique business model of eatery recommender 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 crowdsourced from the participation of locals through gamification 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 dan 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.

 Artículos similares

       
 
Timotej Jagric and Alja? Herman    
This paper presents a broad study on the application of the BERT (Bidirectional Encoder Representations from Transformers) model for multiclass text classification, specifically focusing on categorizing business descriptions into 1 of 13 distinct industr... ver más
Revista: Information

 
Zhigang Ren, Shize Yang, Jiaji Zhang, Qiankun Wang, Shuqiang Gui, Junli Zhou, Yuyang Tang, Ke Zhu, Chuxiong Shen, Zhihua Xiong, Jinlong Sun, Xinpeng Qiu and Zhuo Chen    
The discharge of warm water from water source heat pump (WSHP) energy stations can cause local changes in the water temperature, leading to changes in the water quality around and downstream of the discharge outlet, resulting in a cumulative effect that ... ver más
Revista: Water

 
Chen Li, Yinxu Lu, Yong Bian, Jie Tian and Mu Yuan    
The quality and safety of agricultural products involve a variety of risk factors, a large amount of risk information data, and multiple circulation and disposal processes, making it difficult to accurately trace the source of risks. To achieve precise t... ver más
Revista: Applied Sciences

 
Moatsum Alawida, Bayan Abu Shawar, Oludare Isaac Abiodun, Abid Mehmood, Abiodun Esther Omolara and Ahmad K. Al Hwaitat    
The Chat Generative Pre-training Transformer (GPT), also known as ChatGPT, is a powerful generative AI model that can simulate human-like dialogues across a variety of domains. However, this popularity has attracted the attention of malicious actors who ... ver más
Revista: Information

 
Carolina Ribeiro, Igor Fernandes and Filipe Portela    
In the age of Industry 4.0, competition between companies is becoming increasingly intense, and companies are turning to trends that aim to improve overall performance. Accordingly, the company ITEK decided to create a global gamification mechanism focus... ver más
Revista: Information