IDEAS home Printed from https://ideas.repec.org/a/jas/jasssj/2010-41-2.html
   My bibliography  Save this article

A First Approach on Modelling Staff Proactiveness in Retail Simulation Models

Author

Abstract

There has been a noticeable shift in the relative composition of the industry in the developed countries in recent years; manufacturing is decreasing while the service sector is becoming more important. However, currently most simulation models for investigating service systems are still built in the same way as manufacturing simulation models, using a process-oriented world view, i.e. they model the flow of passive entities through a system. These kinds of models allow studying aspects of operational management but are not well suited for studying the dynamics that appear in service systems due to human behaviour. For these kinds of studies we require tools that allow modelling the system and entities using an object-oriented world view, where intelligent objects serve as abstract 'actors' that are goal directed and can behave proactively. In our work we combine process-oriented discrete event simulation modelling and object-oriented agent based simulation modelling to investigate the impact of people management practices on retail productivity. In this paper, we reveal in a series of experiments what impact considering proactivity can have on the output accuracy of simulation models of human centric systems. The model and data we use for this investigation are based on a case study in a UK department store. We show that considering proactivity positively influences the validity of these kinds of models and therefore allows analysts to make better recommendations regarding strategies to apply people management practices.

Suggested Citation

  • Peer-Olaf Siebers & Uwe Aickelin, 2011. "A First Approach on Modelling Staff Proactiveness in Retail Simulation Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 14(2), pages 1-2.
    • Handle: RePEc:jas:jasssj:2010-41-2
    as

    Download full text from publisher

    File URL: https://www.jasss.org/14/2/2/2.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bloom, Nick & Dorgan, Stephen & Dowdy, John & Rippin, Tom & Van Reenen, John, 2005. "Management practices: the impact on company performance," LSE Research Online Documents on Economics 4604, London School of Economics and Political Science, LSE Library.
    2. Gustavo Crespi & Chiara Criscuolo & Jonathan Haskel & Denise Hawkes, 2006. "Measuring and Understanding Productivity in UK Market Services," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 22(4), pages 560-572, Winter.
    3. Jager, W. & Janssen, M. A. & De Vries, H. J. M. & De Greef, J. & Vlek, C. A. J., 2000. "Behaviour in commons dilemmas: Homo economicus and Homo psychologicus in an ecological-economic model," Ecological Economics, Elsevier, vol. 35(3), pages 357-379, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Davide Secchi & Raffaello Seri, 2017. "Controlling for false negatives in agent-based models: a review of power analysis in organizational research," Computational and Mathematical Organization Theory, Springer, vol. 23(1), pages 94-121, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Geovanna Hinojoza-Castro & Montserrat Gómez-Delgado & Wenseslao Plata-Rocha, 2022. "Real Estate Developers as Agents in the Simulation of Urban Sprawl," Sustainability, MDPI, vol. 14(15), pages 1-12, July.
    2. Robert Inklaar & Marcel P. Timmer & Bart van Ark, 2008. "Data for Productivity Measurement in Market Services: An International Comparison," International Productivity Monitor, Centre for the Study of Living Standards, vol. 16, pages 72-81, Spring.
    3. Richter, Andries & Grasman, Johan, 2013. "The transmission of sustainable harvesting norms when agents are conditionally cooperative," Ecological Economics, Elsevier, vol. 93(C), pages 202-209.
    4. Calum Brown & Dave Murray-Rust & Jasper van Vliet & Shah Jamal Alam & Peter H Verburg & Mark D Rounsevell, 2014. "Experiments in Globalisation, Food Security and Land Use Decision Making," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-24, December.
    5. Yapanto, Lis M & Harahab, Nuddin & , Sudarto & Olii, Abdul Hafidz, 2021. "Feasibility Test of Fishing Variables on Increasing Fishermen's Income in Tomini Bay, Gorontalo Province," OSF Preprints yvjez, Center for Open Science.
    6. Rinaldo Evangelista & Maria Savona, 2010. "Innovation and Employment in Services," Chapters, in: Faïz Gallouj & Faridah Djellal (ed.), The Handbook of Innovation and Services, chapter 16, Edward Elgar Publishing.
    7. Fraser J Morgan & Adam J Daigneault, 2015. "Estimating Impacts of Climate Change Policy on Land Use: An Agent-Based Modelling Approach," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-20, May.
    8. George Van Voorn & Geerten Hengeveld & Jan Verhagen, 2020. "An agent based model representation to assess resilience and efficiency of food supply chains," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-27, November.
    9. Valentina Meliciani & Maria Savona, 2015. "The determinants of regional specialisation in business services: agglomeration economies, vertical linkages and innovation," Journal of Economic Geography, Oxford University Press, vol. 15(2), pages 387-416.
    10. Katarzyna Ostasiewicz & Michal H. Tyc & Piotr Goliczewski & Piotr Magnuszewski & Andrzej Radosz & Jan Sendzimir, 2006. "Integrating economic and psychological insights in binary choice models with social interactions," Papers physics/0609170, arXiv.org.
    11. Marcel Canoy & Peter Smith, 2008. "Services and the Single Market," Journal of Industry, Competition and Trade, Springer, vol. 8(3), pages 319-347, December.
    12. Niamir, Leila & Filatova, Tatiana & Voinov, Alexey & Bressers, Hans, 2018. "Transition to low-carbon economy: Assessing cumulative impacts of individual behavioral changes," Energy Policy, Elsevier, vol. 118(C), pages 325-345.
    13. Robert Huber & Hang Xiong & Kevin Keller & Robert Finger, 2022. "Bridging behavioural factors and standard bio‐economic modelling in an agent‐based modelling framework," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(1), pages 35-63, February.
    14. Manzoor, Talha & Rovenskaya, Elena & Muhammad, Abubakr, 2016. "Game-theoretic insights into the role of environmentalism and social-ecological relevance: A cognitive model of resource consumption," Ecological Modelling, Elsevier, vol. 340(C), pages 74-85.
    15. Chion, Clément & Lamontagne, P. & Turgeon, S. & Parrott, L. & Landry, J.-A. & Marceau, D.J. & Martins, C.C.A. & Michaud, R. & Ménard, N. & Cantin, G. & Dionne, S., 2011. "Eliciting cognitive processes underlying patterns of human–wildlife interactions for agent-based modelling," Ecological Modelling, Elsevier, vol. 222(14), pages 2213-2226.
    16. Ioana Bejan & Carsten Lynge Jensen & Laura M. Andersen & Lars Gårn Hansen, 2018. "The Economic Value of Habits in Household Production – A Field Experiment," IFRO Working Paper 2018/01, University of Copenhagen, Department of Food and Resource Economics.
    17. Bichraoui-Draper, Najet & Xu, Ming & Miller, Shelie A. & Guillaume, Bertrand, 2015. "Agent-based life cycle assessment for switchgrass-based bioenergy systems," Resources, Conservation & Recycling, Elsevier, vol. 103(C), pages 171-178.
    18. Moglia, Magnus & Alexander, Kim S. & Thephavanh, Manithaythip & Thammavong, Phomma & Sodahak, Viengkham & Khounsy, Bountom & Vorlasan, Sysavanh & Larson, Silva & Connell, John & Case, Peter, 2018. "A Bayesian network model to explore practice change by smallholder rice farmers in Lao PDR," Agricultural Systems, Elsevier, vol. 164(C), pages 84-94.
    19. Jlenia Di Noia, 2022. "Agent-Based Models for Climate Change Adaptation in Coastal Zones. A Review," Working Papers 2022.20, Fondazione Eni Enrico Mattei.
    20. Fraser J. Morgan & Philip Brown & Adam J. Daigneault, 2015. "Simulation vs. Definition: Differing Approaches to Setting Probabilities for Agent Behaviour," Land, MDPI, vol. 4(4), pages 1-24, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jas:jasssj:2010-41-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Francesco Renzini (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.