Artikel

Dynamic pricing models and negotiating agents: Developments in management accounting

Linking decision systems, negotiating agents, management accounting, and computational accounting, this paper aims at exploring dynamic pricing strategies of a synthetic business-to-consumer online operation and a comparative analysis of evolving strategy-specific pricing optimization. Five price models based on market, utility, or demand information (three single and two combined), merging online and offline data, are explored over a seven-day period and with twenty selected products. A total of 17,529 website visits and 538 agent negotiations are studied (94,607 main data points) using a Python solution, with model simulation parameters and assumptions described. Findings show the combined market-utility-demand performance of dynamic pricing to be superior as an input to the negotiating agent. Contributions are threefold, pointing to (a) management accounting practice and research (dynamic pricing), (b) science and research strategy (method), and (c) accounting education (skill set).

Sprache
Englisch

Erschienen in
Journal: Administrative Sciences ; ISSN: 2076-3387 ; Volume: 13 ; Year: 2023 ; Issue: 2 ; Pages: 1-16

Klassifikation
Öffentliche Verwaltung
Thema
business-to-consumer
buyer behavior
computational accounting approach
data analytics
dynamic pricing
management accounting
negotiating agents
revenue management

Ereignis
Geistige Schöpfung
(wer)
Cornacchione, Edgard B.
Reginato, Luciane
Imoniana, Joshua Onome
Souza, Marcelo
Ereignis
Veröffentlichung
(wer)
MDPI
(wo)
Basel
(wann)
2023

DOI
doi:10.3390/admsci13020057
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

  • Artikel

Beteiligte

  • Cornacchione, Edgard B.
  • Reginato, Luciane
  • Imoniana, Joshua Onome
  • Souza, Marcelo
  • MDPI

Entstanden

  • 2023

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