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A data-driven approach to measure restaurant performance by combining online reviews with historical sales data

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10441549" target="_blank" >RIV/00216208:11320/21:10441549 - isvavai.cz</a>

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=vC633IUqBN" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=vC633IUqBN</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.ijhm.2020.102830" target="_blank" >10.1016/j.ijhm.2020.102830</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A data-driven approach to measure restaurant performance by combining online reviews with historical sales data

  • Original language description

    Restaurant management requires customer responsiveness to deal with increasingly higher expectations and market competitiveness. This study proposes an approach to simplify the decision-making process of restaurant managers by combining both live social media customer feedback and historical sales data in a sales forecast model (based on TripAdvisor data and the Bass model). Our approach was validated with internal and external (i.e., online reviews) data gathered from six restaurants. The collected data was processed using data analytics for developing a dashboard that provides value for restauranteurs by taking advantage of online reviews and sales forecast. Such dashboard was evaluated by restaurant management experts, which provided positive feedback, highlighting in particular the time saved in the decision-making process.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    International Journal of Hospitality Management

  • ISSN

    0278-4319

  • e-ISSN

    1873-4693

  • Volume of the periodical

    94

  • Issue of the periodical within the volume

    duben 2021

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    10

  • Pages from-to

    102830

  • UT code for WoS article

    000631257900032

  • EID of the result in the Scopus database

    2-s2.0-85098105957