EconPapers    
Economics at your fingertips  
 

Utilising Agent-Based Modelling and Simulation System-Driven Price Optimisation to Enhance Enterprise Performance

Hasan Beyari () and Othman Alrusaini ()
Additional contact information
Hasan Beyari: Umm Al-Qura University
Othman Alrusaini: Umm Al-Qura University

Chapter Chapter 24 in The Palgrave Handbook of Breakthrough Technologies in Contemporary Organisations, 2025, pp 305-315 from Springer

Abstract: Abstract The general observation is that lowering the price of one firm in a duopoly arrangement causes price-sensitive customers to migrate to the other firm, which may result in increased profits for the firm that lowers the price. To validate this claim, we conducted simulation research with two electric car manufacturers and agent-based modelling. At first, the baseline was established. We performed 1000 simulations and agent-based modelling, assuming that business 1 would cut its price by a maximum of 20%. This would result in a maximum of 40% of manufacturer 2's price-sensitive consumers switching to business 1. The results of 1000 simulations and agent-based modelling revealed that price reductions by manufacturer 1 increased its clients, probably due to the switchover from manufacturer 2, and that revenues from two of the sales routes increased dramatically. This study has ramifications for businesses seeking to lure price-sensitive clients away from a competitor.

Keywords: Agent-based modelling; Enterprise performance improvement; Marketing systems; Marketing campaigns; Simulation (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-96-2516-1_24

Ordering information: This item can be ordered from
http://www.springer.com/9789819625161

DOI: 10.1007/978-981-96-2516-1_24

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-13
Handle: RePEc:spr:sprchp:978-981-96-2516-1_24