Hotel restaurant food delivery app: customer intention / Rashid Salleh ... [et al.]
The industry revolution has revolved the food delivery system which from restaurant-customer to customer-apps-restaurant. The fourth industrial revolution also offering opportunities for business to create a novel service offering. A company such as Food Panda, Deliver Eat, Grab Food and others has...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Universiti Teknologi Mara Cawangan Pulau Pinang
2020
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/29230/ |
| _version_ | 1848807183336079360 |
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| author | Salleh, Rashid Hamir, Norhamizan Azmi, Nur Ain Nabila Abdul Rahim Siddiqe, Ashraf Siddik Khan |
| author_facet | Salleh, Rashid Hamir, Norhamizan Azmi, Nur Ain Nabila Abdul Rahim Siddiqe, Ashraf Siddik Khan |
| author_sort | Salleh, Rashid |
| building | UiTM Institutional Repository |
| collection | Online Access |
| description | The industry revolution has revolved the food delivery system which from restaurant-customer to customer-apps-restaurant. The fourth industrial revolution also offering opportunities for business to create a novel service offering. A company such as Food Panda, Deliver Eat, Grab Food and others has make millions of ringgit per years by providing a food delivery service (Rosli, 2018). She also added that this new business model has shown service technology will become one of important business for future market demand. Unfortunately, this profitable business model did not fascinate hotel restaurant. None of the above apps provided a food delivery from hotel restaurant in Penang. Furthermore, the hotel itself did not have any created and offer online food delivery for their hotel restaurant. Exploring this unusual phenomena, the study will investigate either there is any demand for hotel restaurant food delivery or not. In order to conduct the study, theory of acceptance model (TAM) will be use as a foundation of this search. The study objective has revealed that all restaurant customers in Malaysia will be the sample in this study. To decode the data collected, Statistical Package for the Social Sciences (SPSS) software will be use. The result of the study may provide a little help for the industry and added a significance data, which can be utilize by other researchers. Besides that, this study may add a new body of knowledge where there is still no study specifically focus on hotel restaurant segment. |
| first_indexed | 2025-11-14T22:38:46Z |
| format | Article |
| id | uitm-29230 |
| institution | Universiti Teknologi MARA |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T22:38:46Z |
| publishDate | 2020 |
| publisher | Universiti Teknologi Mara Cawangan Pulau Pinang |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uitm-292302025-07-17T07:34:03Z https://ir.uitm.edu.my/id/eprint/29230/ Hotel restaurant food delivery app: customer intention / Rashid Salleh ... [et al.] ejssh Salleh, Rashid Hamir, Norhamizan Azmi, Nur Ain Nabila Abdul Rahim Siddiqe, Ashraf Siddik Khan Research Statistical methods Hospitality industry. Hotels, clubs, restaurants, etc. Food service Food service The industry revolution has revolved the food delivery system which from restaurant-customer to customer-apps-restaurant. The fourth industrial revolution also offering opportunities for business to create a novel service offering. A company such as Food Panda, Deliver Eat, Grab Food and others has make millions of ringgit per years by providing a food delivery service (Rosli, 2018). She also added that this new business model has shown service technology will become one of important business for future market demand. Unfortunately, this profitable business model did not fascinate hotel restaurant. None of the above apps provided a food delivery from hotel restaurant in Penang. Furthermore, the hotel itself did not have any created and offer online food delivery for their hotel restaurant. Exploring this unusual phenomena, the study will investigate either there is any demand for hotel restaurant food delivery or not. In order to conduct the study, theory of acceptance model (TAM) will be use as a foundation of this search. The study objective has revealed that all restaurant customers in Malaysia will be the sample in this study. To decode the data collected, Statistical Package for the Social Sciences (SPSS) software will be use. The result of the study may provide a little help for the industry and added a significance data, which can be utilize by other researchers. Besides that, this study may add a new body of knowledge where there is still no study specifically focus on hotel restaurant segment. Universiti Teknologi Mara Cawangan Pulau Pinang 2020-01 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/29230/1/29230.pdf Salleh, Rashid and Hamir, Norhamizan and Azmi, Nur Ain Nabila and Abdul Rahim Siddiqe, Ashraf Siddik Khan (2020) Hotel restaurant food delivery app: customer intention / Rashid Salleh ... [et al.]. (2020) ESTEEM Journal of Social Sciences and Humanities <https://ir.uitm.edu.my/view/publication/ESTEEM_Journal_of_Social_Sciences_and_Humanities.html>, 4 (SI Jan): 19. pp. 171-179. ISSN 2600-7274 https://ejssh.uitm.edu.my/ |
| spellingShingle | Research Statistical methods Hospitality industry. Hotels, clubs, restaurants, etc. Food service Food service Salleh, Rashid Hamir, Norhamizan Azmi, Nur Ain Nabila Abdul Rahim Siddiqe, Ashraf Siddik Khan Hotel restaurant food delivery app: customer intention / Rashid Salleh ... [et al.] |
| title | Hotel restaurant food delivery app: customer intention / Rashid Salleh ... [et al.] |
| title_full | Hotel restaurant food delivery app: customer intention / Rashid Salleh ... [et al.] |
| title_fullStr | Hotel restaurant food delivery app: customer intention / Rashid Salleh ... [et al.] |
| title_full_unstemmed | Hotel restaurant food delivery app: customer intention / Rashid Salleh ... [et al.] |
| title_short | Hotel restaurant food delivery app: customer intention / Rashid Salleh ... [et al.] |
| title_sort | hotel restaurant food delivery app: customer intention / rashid salleh ... [et al.] |
| topic | Research Statistical methods Hospitality industry. Hotels, clubs, restaurants, etc. Food service Food service |
| url | https://ir.uitm.edu.my/id/eprint/29230/ https://ir.uitm.edu.my/id/eprint/29230/ |