Innovation diffusion: Application of agent-based modelling and simulation in a case company in Sultanate of Oman

Emad Summad*, Mahmood Al-Kindi, Shamsuzzoha Alaudin Ahmed

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Agent-Based Modelling and Simulation (ABMS) has increasingly been applied in diffusion of innovation research. The ABMS method is successfully implemented to different domains in business networks to study the diffusion of their innovation activities. This research therefore applies such ABMS method to a case company at Muscat, Oman with the objective to study the diffusion of its innovation activities to the public. The case company is a famous real-estate company in Oman, where it successfully diffused its innovative project to the public by using ABMS method. The results from the ABMS method were analyzed by using a common used platform like MATLAB - MathWorks software. This is an ongoing research and this paper presents the initial results from the model. Since the acquirement of data took too long for this specific project, the incorporation of real world data and validation and adaption of the model are tasks for further research.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Industrial Engineering and Operations Management, IEOM 2018
PublisherIEOM Society
Pages2374-2382
Number of pages9
Volume2018-March
ISBN (Print)9781532359446
Publication statusPublished - Jan 1 2018
Event8th International Conference on Industrial Engineering and Operations Management, IEOM 2018 - Bandung, Indonesia
Duration: Mar 6 2018Mar 8 2018

Other

Other8th International Conference on Industrial Engineering and Operations Management, IEOM 2018
CountryIndonesia
CityBandung
Period3/6/183/8/18

Keywords

  • Agent-based modelling and simulation
  • Case company
  • Innovation diffusion
  • Sultanate of Oman

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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