Customers’ experiences of fast food delivery services: uncovering the semantic core benefits, actual and augmented product by text mining

Thorsten Teichert*, Sajad Rezaei, Juan C. Correa

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)

Abstract

Purpose – This study conceptualizes food delivery services as service mix decisions (SMDs) and illustrates a data-driven approach for the analysis of customers’ written experiences.
Design/methodology/approach – Web scraping, text mining techniques as well as multivariate statistics are combined to uncover the structure of the three tiers of SMD from consumers’ point of view.
Findings – The analyses reveal that fast food delivery is not primarily about speed but that there are four distinct experiential factors to be considered for SMDs. Fast food delivery services are associated both with the actual product (i.e. product issues and brand satisfaction) and with the augmented product (payment process and service handling).
Originality/value – Findings demonstrate the relevance of SMDs in omnichannel food retail environments and guide researchers in multistage analyses of consumers’ online food reviews.
Original languageEnglish
Pages (from-to)3513-3528
Number of pages16
JournalBritish Food Journal
Volume122
Issue number11
DOIs
Publication statusPublished - 12 Oct 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020, Emerald Publishing Limited.

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