• English
  • Deutsch
  • Log In
    Password Login
    or
  • Research Outputs
  • Projects
  • Researchers
  • Institutes
  • Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Artikel
  4. Identifying future trends by podcast mining: An explorative approach for Web-based horizon scanning
 
  • Details
  • Full
Options
2021
Journal Article
Titel

Identifying future trends by podcast mining: An explorative approach for Web-based horizon scanning

Abstract
Purpose The aim of this paper is to gain knowledge in podcast mining as an additional source for Web-based horizon scanning (HS). The paper presents theoretical insights on the potential of podcast mining by exploring topics, which may be relevant in the future, and by reflecting the results against a background of HS approaches. The study provides a preliminary overview by presenting an exemplary list of podcast shows for further research. Design/methodology/approach The paper uses an exploratory quantitative content analysis, which was conducted on the basis of 30 topics deemed to be relevant in the future and which were identified in the field of applied science. Based on these topics, podcasts and episodes were identified which address future-oriented topics and were discussed in term s of range of content. Findings The findings indicate that future-oriented topics are addressed in podcasts. However, differences in dynamics and range of content of the podcasts concerned highlight the necessity of identifying a list of suitable podcasts according to the specific scanning focus and the dynamics of each future-oriented topics. Originality/value While a growing number of podcast studies have already noted the importance of podcasts as a key medium, for example, educational processes and media sciences, no detailed explanation of podcast mining as a tool for the purposes of HS has been published. The review therefore makes an original contribution to this field, highlighting areas where future research is needed.
Author(s)
Welz, Juliane
Fraunhofer-Zentrum für Internationales Management und Wissensökonomie IMW
Riemer, Annamaria
Fraunhofer-Zentrum für Internationales Management und Wissensökonomie IMW
Döbel, Inga
Fraunhofer-Zentrum für Internationales Management und Wissensökonomie IMW
Dakkak, Nora
Fraunhofer-Zentrum für Internationales Management und Wissensökonomie IMW
Schwartzenberg, Anna Sophie von
Fraunhofer-Zentrum für Internationales Management und Wissensökonomie IMW
Zeitschrift
Foresight
Thumbnail Image
DOI
10.1108/FS-07-2020-0069
Language
English
google-scholar
Fraunhofer-Zentrum für Internationales Management und Wissensökonomie IMW
Tags
  • forecasting

  • content analysis

  • Future Trends

  • horizon scanning

  • Podcasting

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Send Feedback
© 2022