Research Article

Assessment of virtual kitchen use intention among Kenyan restaurants: A quantitative research using UTAUT model

Volume: 6 Number: 1 July 2, 2024
George Otieno Obonyo *, Violet Chebet
EN

Assessment of virtual kitchen use intention among Kenyan restaurants: A quantitative research using UTAUT model

Abstract

Restaurants contribute significantly to economic diversification by creating jobs and generating revenue. While restaurants in Kenya largely focus on the dine-in experience, the growing demand for dine-out consumption, fueled by the proliferation of online food delivery platforms, necessitates the implementation of a new restaurant business model known as virtual kitchen. This study, therefore, applied modified UTAUT2 theory to assess licensed restaurants' intentions to use virtual kitchens in Kenya. The study hypothesis is that performance expectancy, effort expectancy, facilitating conditions, and price value have a significant effect on licensed restaurants' intention to use virtual kitchens in Kenya. The study used a quantitative research approach and correlational research design to survey 149 managers/owners of licensed restaurants in Kenya. The regression analysis results show that performance expectancy, effort expectancy, facilitating conditions, and price value all have a significant effect on the intention to use virtual kitchens. The study not only adds to the existing body of knowledge debate on virtual kitchens by providing informative insights on its adoption in Kenya, but it also contributes to industry practice.

Keywords

UTAUT theory, Virtual kitchen adoption, Licensed restaurants, Kenya

Supporting Institution

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Project Number

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Ethical Statement

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Thanks

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References

  1. Ahmad, M. et al. (2022). Assessing long-and short-run dynamic interplay among balance of trade, aggregate economic output, real exchange rate, and CO2 emissions in Pakistan. Environment, Development and Sustainability, 24(5), pp. 7283-7323.
  2. Ahuja, K., Chandra, V., Lord, V., & Peens, C. (2021). Ordering in: The rapid evolution of food delivery. McKinsey & Company, 22, pp. 1-13.
  3. Alvarado, R. et al. (2022a). Biocapacity convergence clubs in Latin America: an analysis of their determining factors using quantile regressions. Environmental Science and Pollution Research, 29(44), pp. 66605-66621.
  4. Alvarado, R. et al. (2022b). Impact of the informal economy on the ecological footprint: the role of urban concentration and globalization. Economic Analysis and Policy, 75, pp. 750-767.
  5. Alvarado, R. et al. (2022c). Impact of natural resources on economic progress: evidence for trading blocs in Latin America using non-linear econometric methods. Resources Policy, 79, 102908.
  6. Anas, M. et al. (2023). Moving towards sustainable environment development in emerging economies: The role of green finance, green tech‐innovation, natural resource depletion, and forested area in assessing the load capacity factor. Sustainable Development.
  7. Beatty, P. C., & Willis, G. B. (2007). Research Synthesis: The Practice of Cognitive Interviewing. Public Opinion Quarterly, 71, pp. 287 – 311.
  8. Bulut, U. et al. (2023). The nexus between government spending, economic growth, and tourism under climate change: testing the CEM model for the USA. Environmental Science and Pollution Research, 30(36), pp. 86138-86154.
  9. Cai, R., Leung, X.Y., & Chi, C.G. (2022). Ghost kitchens on the rise: Effects of knowledge and perceived benefit-risk on customers’ behavioural intentions, International Journal of Hospitality Management, 101,103110, https://doi.org/10.1016/j.ijhm.2021.103110.
  10. Capri, T. (2021). Factors that Impact the Adoption of Online Food Delivery Services by Urban Consumers in South Africa, Unpublished Masters Thesis, University of the Witwatersrand, Johannesburg, South Africa.
APA
Obonyo, G. O., & Chebet, V. (2024). Assessment of virtual kitchen use intention among Kenyan restaurants: A quantitative research using UTAUT model. Journal of Tourism Leisure and Hospitality, 6(1), 27-43. https://doi.org/10.48119/toleho.1370748
AMA
1.Obonyo GO, Chebet V. Assessment of virtual kitchen use intention among Kenyan restaurants: A quantitative research using UTAUT model. TOLEHO. 2024;6(1):27-43. doi:10.48119/toleho.1370748
Chicago
Obonyo, George Otieno, and Violet Chebet. 2024. “Assessment of Virtual Kitchen Use Intention Among Kenyan Restaurants: A Quantitative Research Using UTAUT Model”. Journal of Tourism Leisure and Hospitality 6 (1): 27-43. https://doi.org/10.48119/toleho.1370748.
EndNote
Obonyo GO, Chebet V (July 1, 2024) Assessment of virtual kitchen use intention among Kenyan restaurants: A quantitative research using UTAUT model. Journal of Tourism Leisure and Hospitality 6 1 27–43.
IEEE
[1]G. O. Obonyo and V. Chebet, “Assessment of virtual kitchen use intention among Kenyan restaurants: A quantitative research using UTAUT model”, TOLEHO, vol. 6, no. 1, pp. 27–43, July 2024, doi: 10.48119/toleho.1370748.
ISNAD
Obonyo, George Otieno - Chebet, Violet. “Assessment of Virtual Kitchen Use Intention Among Kenyan Restaurants: A Quantitative Research Using UTAUT Model”. Journal of Tourism Leisure and Hospitality 6/1 (July 1, 2024): 27-43. https://doi.org/10.48119/toleho.1370748.
JAMA
1.Obonyo GO, Chebet V. Assessment of virtual kitchen use intention among Kenyan restaurants: A quantitative research using UTAUT model. TOLEHO. 2024;6:27–43.
MLA
Obonyo, George Otieno, and Violet Chebet. “Assessment of Virtual Kitchen Use Intention Among Kenyan Restaurants: A Quantitative Research Using UTAUT Model”. Journal of Tourism Leisure and Hospitality, vol. 6, no. 1, July 2024, pp. 27-43, doi:10.48119/toleho.1370748.
Vancouver
1.George Otieno Obonyo, Violet Chebet. Assessment of virtual kitchen use intention among Kenyan restaurants: A quantitative research using UTAUT model. TOLEHO. 2024 Jul. 1;6(1):27-43. doi:10.48119/toleho.1370748