Modelling, Simulation and Analysis of Deshopping Using A Multi-Agent Based Method

Rahman, Shawkat S. 2021. Modelling, Simulation and Analysis of Deshopping Using A Multi-Agent Based Method. PhD thesis University of Westminster Westminster Business School https://doi.org/10.34737/vx845

TitleModelling, Simulation and Analysis of Deshopping Using A Multi-Agent Based Method
TypePhD thesis
AuthorsRahman, Shawkat S.
Abstract

Deshopping has been highlighted in recent media and academic research for its role in today’s retail supply chain losses. There is much interest in studying the unintended consequences of deshopping in a modern-day retail operation.
Simulation can be useful tool for modelling different aspects of retail operations, particularly sales and returns operations with consumer and retailers. This thesis is an exploratory attempt at using Agent-based modelling and simulation (ABMS) to show how deshopper behave in a retail environment. There exists a gap in modelling of deshopping in retail landscapes. This thesis is first of its kind in an effort to bring rational choice modelling, shop choice, return leniency, opinion dynamics and churn using agent-based modelling and MoHuB framework into focus. It also combines questionnaire survey, ABM modelling and validation interview.
The thesis focuses on the use of agent-based modelling and simulation to demonstrate how to model deshopper behaviour withing a retail environment and how this behaviour is related to utility, return leniency and churn. A discussion of the limitations of such a study is also included.
The findings of the research demonstrate that ABMS is suited to simulate consumer behaviour in a retail environment.
The main contributions of the thesis are:
1. An Approach to explain deshopping using Rational choice theory
2. A model to study deshopper behaviour and retail performance.
3. How return leniency drives deshopping behaviour

Year2021
File
File Access Level
Controlled (open metadata, closed files)
PublisherUniversity of Westminster
Publication dates
PublishedDec 2021
Digital Object Identifier (DOI)https://doi.org/10.34737/vx845

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Multi-Agent-Based Modeling of Deshopping Behavior Considering Two or More Shops or Web Sites
Rahman, S. and Li, Shuliang 2023. Multi-Agent-Based Modeling of Deshopping Behavior Considering Two or More Shops or Web Sites. The 9th International Conference on Information Management (ICIM2023). The University of Oxford, Oxford, England, UK 17 - 19 Mar 2023 IEEE . https://doi.org/10.1109/icim58774.2023.00025

A multi-agent-based prototype software system for simulating and analysing deshopping behaviour and how companies respond
Rahman, S. and Li, Shuliang 2016. A multi-agent-based prototype software system for simulating and analysing deshopping behaviour and how companies respond.

Agent-Based Modeling of Deshopping Behaviour: A Single Shop Model with Multiple Deshoppers
Rahman, S. and Li, Shuliang 2016. Agent-Based Modeling of Deshopping Behaviour: A Single Shop Model with Multiple Deshoppers. The 2nd International Conference on Information Management (ICIM2016). London 08 May 2016 IEEE . https://doi.org/10.1109/INFOMAN.2016.7477539

A hybrid framework for modelling and simulation for deshopping behaviour and how companies respond
Rahman, S. and Li, Shuliang 2014. A hybrid framework for modelling and simulation for deshopping behaviour and how companies respond. in: Latest trends in energy, environment and development: proceedings of the 3rd International Conference on Energy Systems, Environment, Entrepreneurship and Innovation, 3rd-5th June 2014, Salerno, Italy WSEAS.

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