Arbeitspapier

Data (r)evolution - The economics of algorithmic search and recommender services

The paper analyses the economics behind algorithmic search and recommender services, based upon personalized user data. Such services play a paramount role for online services such as marketplaces (e.g. Amazon), audio streaming (e.g. Spotify), video streaming (e.g. Netflix, YouTube), app stores, social networks (e.g. Instagram, Tik Tok, Facebook, Twitter) and many more. We start with a systematic analysis of search and recommendation services as a commercial good, highlighting the changes to these services by the systematic use of algorithms. Then we discuss benefits and risk for welfare arising from the widespread employment of algorithmic search and recommendation systems. In doing so, we summarize the existing economics literature and go beyond its insights, including highlighting further research desires. Eventually, we derive regulatory and managerial implications drawing on the current state of academic knowledge.

Sprache
Englisch

Erschienen in
Series: Ilmenau Economics Discussion Papers ; No. 148

Klassifikation
Wirtschaft
Information and Internet Services; Computer Software
Antitrust Issues and Policies: General
Antitrust Law
Regulated Industries and Administrative Law
Cyber Law
Oligopoly and Other Imperfect Markets
Economics of Regulation
Entertainment; Media
Business Economics
Cultural Economics; Economic Sociology; Economic Anthropology: General
Thema
algorithmic search and recommender services
data economics
media economics
internet economics
digital economy
cultural economics
competition
antitrust
industry regulation
digital business ecosystems

Ereignis
Geistige Schöpfung
(wer)
Budzinski, Oliver
Gänßle, Sophia
Lindstädt-Dreusicke, Nadine
Ereignis
Veröffentlichung
(wer)
Technische Universität Ilmenau, Institut für Volkswirtschaftslehre
(wo)
Ilmenau
(wann)
2021

Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Budzinski, Oliver
  • Gänßle, Sophia
  • Lindstädt-Dreusicke, Nadine
  • Technische Universität Ilmenau, Institut für Volkswirtschaftslehre

Entstanden

  • 2021

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