Between app efficiency and user wellbeing: a cluster analysis on consumer types and continuance usage of food delivery app

• Autorzy: Trinh Thu Thi , Mai Xuan Tai

Identyfikatory

DOI

10.15439/2022M7606

• Konferencja: Proceedings of the 2022 International Conference on Research in Management & Technovation
• Języki publikacji: EN

Abstrakty

EN

The introduction of food delivery apps, facilitated by the global pandemic, has created a significant disruption in the hospitality industry. However, how consumers use mobile applications in the context of daily choices and food consumption has not been fully explored. Using data collected through an online questionnaire comprising 165 food delivery app subscribers, k-mean cluster analysis was performed to classify users based on their internal motivations. The results reveal three distinct groups: Health-conscious Eaters, Food Enthusiasts, and Lifetime Diners. Practically, the present exploratory study assists FDA providers to better identify customers, so potentially optimizing marketing initiatives, and maximizing profitability.

Słowa kluczowe

EN

cluster analysis; food delivery app; customer segmentation

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2022
• Tom: Vol. 34
• Strony: 69--74
• Opis fizyczny: Bibliogr. 35 poz., tab., wykr.

Twórcy

autor

Trinh Thu Thi

• Swinburne Vietnam - FPT University, Vietnam

autor

Mai Xuan Tai

• Department of Hospitality and Tourism - FPT University, Vietnam

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).