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Displaying results 1 to 3 of 3.

  1. WOM, eWOM and WOMachine
    the evolution of consumer recommendations through a systematic review of 194 studies
    Author: Jansen, Thomas; Moura, Francisco Tigre
    Published: [2024]
    Publisher:  IU Internationale Hochschule, Erfurt

    Recommendation-based communication plays a pivotal role in consumer choices. From human sources to electronic word of mouth or different types of recommender systems, recommendations help consumers adopt or reject leads, and can be highly beneficial... more

    Access:
    Verlag (kostenfrei)
    Resolving-System (kostenfrei)

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    DS 622
    Inter-library loan:
    No inter-library loan

     

    Recommendation-based communication plays a pivotal role in consumer choices. From human sources to electronic word of mouth or different types of recommender systems, recommendations help consumers adopt or reject leads, and can be highly beneficial for organizations. In view of its relevance and the distinct characteristics the evolution of the topic, this paper aims to identify, summarize, and analyze the developments and impact of these recommendations on consumer decision making. To achieve this, 194 evidence-based studies were systematically reviewed. The results from a thematic synthesis showed that eWOM and recommender systems have a synergistic effect fueled by non-verbal cues of eWOM and accuracy of the system. Conversational recommender systems act similarly to WOM by encouraging explicit feedback. However, data privacy concerns make interactions towards these systems a difficult matter. Themes that emerged from WOM emphasized interpersonal relationships that are homophilous and with strong ties. Themes from eWOM focused on volume as a cue for popularity which increased credibility and trustworthiness. Finally, themes for automated recommendation center on usefulness and anthropomorphizing the recommender to build trust. Implications and future directions are provided.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/298847
    Series: Array ; vol. 4, no. 3 (Juni 2024)
    Subjects: WOM; eWOM; WOMachine; Recommender Systems; Conversational Recommender System
    Scope: 1 Online-Ressource (circa 50 Seiten), Illustrationen
  2. The potential of recommender systems for directing job search
    a large scale experiment
    Author: Behaghel, Luc; Gurgand, Marc; Dromundo, Sofia; Hazard, Yagan; Zuber, Thomas
    Published: [2024]
    Publisher:  [Paris School of Economics], [Paris]

    Access:
    Verlag (kostenfrei)
    Verlag (kostenfrei)

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    VS 331
    Inter-library loan:
    No inter-library loan
    Export to reference management software   RIS file
      BibTeX file
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Working paper / Paris School of Economics ; no 2024, 28
    Subjects: Recommender Systems; Matching; RCT; Active Labor Market Policies
    Scope: 1 Online-Ressource (circa 65 Seiten), Illustrationen
  3. Academic Literature Recommendation using Semantic Feature Analysis
    Author: Breitinger, Corinna
    Published: 2023
    Publisher:  KOPS Universität Konstanz, Konstanz