S-at-work

An agent based model of job satisfaction in work organization

Table of Contents

• About the model
  • Built With
• Launch Model Simulations
  • Prerequisites
  • Getting started
• Details
• Future development
• License

About The model

This model is based on my thesis work - https://hal.archives-ouvertes.fr/hal-01566985 - It is an updated version of the model, once coded using Repast Simphony, while being recoded in a more suitable platform (Gama). Most of references remain the same while improved.

Built With

• GAMA-Platform

Launch Model Simulations

To get a local copy of the model and be able to run experiment with it, improve or (freely) reuse.

Prerequisites

• GAMA-Platform 1.8.1

Getting started

1. First, download and extract the proper GAMA version (see link below, if you don't know which version to take, pick the corresponding OS - windows, linux or macos - and prefer the one with embedded JDK). If you need more information about how to install GAMA, check the installation page

2. Second, clone the model on your computer (in a terminal go to the desired repository and inpu git clone https://github.com/chapuisk/S-at-work.git) or download the model on GitHub (click here to download it automatically)

2.a Extract that ZIP file somewhere on your computer, if you downloaded it.

3. import the model in GAMA.

4. Enjoy our model running on your computer.

Details

We describe the context in which to run the proposed simulation experiments in the model

Dataset

There is several entry for data at initialization: basic demographic variables, workforce, work characteristics and personnality

1. Demographics

Data sources Data files

2. Working force dataset:

Data sources

• OECD dataset, see https://stats.oecd.org/
• Worldbank data, see https://databank.worldbank.org/reports.aspx?source=jobs
• Eurostats is the best, see https://ec.europa.eu/eurostat/web/main/data/database

Data files

• 'file name here' : is about age x sex distribution of employment
• '' : is about working time distribution
• '' : is about wage gap

3. Work characteristic dataset

Data sources Data files

• JC-model : empty
• Work-role outcome model : empty

4. Personality dataset

Data sources Data files

• Big Five Index (BFI) : empty

Model init.

1. Data based initialization
2. Parameter based initialization

Simulation experiments

ODD

TODO : provide a link to the ODD

Future development

See the current milestone for a list of proposed features (and known issues).

License

This project is distributed under the GPL-3.0 License. See LICENSE for more information.