Skip to main content
SpringerLink
Log in

Modeling of Business Processes and Crisis Management

  • Living reference work entry
  • First Online:
Encyclopedia of Social Network Analysis and Mining

  • 86 Accesses

Synonyms

Mathematical modeling; Simulation modeling

Business model::

A description of the mechanisms by which an organization creates and captures economic value

Business process::

A collection of activities or tasks that allow an organization to transform inputs into outputs (e.g., products or services)

Mathematical and simulation modeling::

The process of describing essential characteristics of a system using mathematical concepts and language

Operations research::

A discipline concerned with the application of advanced mathematical methods to improve decision-making

System dynamics::

A discipline concerned with understanding the behavior of complex systems and developing policies that can improve it

Definition

Modeling a business or a managerial process refers to the practice of developing a graphical, mathematical, or simulation model of the key processes in an organization. The main purpose of developing a business model can range from mapping the existing processes to analyzing...

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

References

  • Barbarosoglu G, Arda Y (2004) A two-stage stochastic programming framework for transportation planning in disaster response. J Oper Res Soc 55(1):43–53

    Article  MATH  Google Scholar 

  • Batta R, Mannur NR (1990) Covering-location models for emergency situations that require multiple response units. Manag Sci 36(1):16–23

    Article  MathSciNet  MATH  Google Scholar 

  • Benini AA (1993) Simulation of the effectiveness of protection and assistance for victims of armed conflict (Sepavac): an example from Mali, West Africa. J Conting Crisis Manag 1(4):215–228

    Article  Google Scholar 

  • Cooke DL (2003) A system dynamics analysis of the Westray mine disaster. Syst Dyn Rev 19(2):139–166

    Article  Google Scholar 

  • Ford D, Sterman JD (1997) Dynamic modeling of product development processes. Syst Dyn Rev 14:31–68

    Article  Google Scholar 

  • Gonçalves P (2011) Balancing provision of relief and recovery with capacity building in humanitarian operations. Oper Manag Res 4:39–50

    Article  Google Scholar 

  • Gonçalves P, Hines J, Sterman J (2005) The impact of endogenous demand on push-pull production systems. Syst Dyn Rev 21(3):187–216

    Article  Google Scholar 

  • Guthrie S, Manivannan S (1992) A knowledge-based assignment methodology for personal identification in mass disaster. Inf Decis Technol 18(5):309–322

    Google Scholar 

  • Homer J, Hirsch G (2006) Opportunities and demands in public health systems. Am J Public Health 96(3):452–458

    Article  Google Scholar 

  • Leung MF, Santos JR, Haimes YY (2003) Risk modeling, assessment, and management of lahar flow threat. Risk Anal 23(6):1323–1335

    Article  Google Scholar 

  • Lyneis J, Cooper K, Els S (2001) Strategic management of complex projects: a case study using system dynamics. Syst Dyn Rev 17(3):237–260

    Article  Google Scholar 

  • Mete HO, Zabinsky ZB (2010) Stochastic optimization of medical supply location and distribution in disaster management. Int J Prod Econ 126(1):76–84

    Article  Google Scholar 

  • Morecroft JD (1985) Rationality in the analysis of behavioral simulation models. Manag Sci 31(7):900–916

    Article  Google Scholar 

  • Moxnes E (1998) Overexploitation of renewable resources: the role of misperceptions. J Econ Behav Organ 37:107–127

    Article  Google Scholar 

  • Paich M, Sterman J (1993) Boom, bust, and failures to learn in experimental markets. Manag Sci 39:1439–1458

    Article  Google Scholar 

  • Peizhuang W, Xihui L, Sanchez E (1986) Set-valued statistics and its application to earthquake engineering. Fuzzy Sets Syst 18(3):347–356

    Article  MATH  Google Scholar 

  • Psaraftis HN, Tharakan GG, Ceder A (1986) Optimal response to oil spills: the strategic decision case. Oper Res 34(2):203–217

    Article  Google Scholar 

  • Rudolph JW, Repenning NP (2002) Disaster dynamics: understanding the role of quantity in organizational collapse. Adm Sci Q 47(1):1–30

    Article  Google Scholar 

  • Salmerón J, Apte A (2010) Stochastic optimization for natural disaster asset prepositioning. Prod Oper Manag 19(5):561–574

    Article  Google Scholar 

  • Sherali HD, Carter TB, Hobeika AG (1991) A location allocation model and algorithm for evacuation planning under hurricane flood conditions. Transp Res Part B Methodol 25(6):439–452

    Article  Google Scholar 

  • Sterman JD (1989) Modeling managerial behavior: misperceptions of feedback in a dynamic decision making experiment. Manag Sci 35:321–339

    Article  Google Scholar 

  • Suzuki E, Miyata M, Hongo S (1984) Statistical study of the danger of flood-disasters caused by meteorological factors. Nat Disaster Sci 6(2):27–41

    Google Scholar 

Recommended Reading

  • Belardo S, Harrald JR, Wallace WA, Ward J (1984) A partial covering approach to siting response resources for major maritime oil spills. Manag Sci 30(10):1184–1196

    Article  Google Scholar 

  • Obradovic D, Kordic M (1986) Studying a disastrous situation before it actually happens. Water Supply 5(3/4):ss4.17–ss14.20

    Google Scholar 

  • Repenning NP (2001) Understanding fire fighting in new product development. J Prod Innov Manag 18:285–300

    Article  Google Scholar 

  • Sheffi Y, Mahmassani H, Powell WB (1982) A transportation network evacuation model. Transp Res Part A Policy Pract 16A(3):209–218

    Article  Google Scholar 

  • Sterman JD (2000) Business dynamics: systems thinking and modeling for a complex world. Irwin-McGraw Hill, Chicago

    Google Scholar 

  • Viswanath K, Peeta S (2003) Multicommodity maximal covering network design problem for planning critical routes for earthquake response. Transp Res Rec 1857:1–10

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Economics, Institute of Management, Università della Svizzera Italiana (USI), Lugano, Switzerland

    Paulo Gonçalves

Authors
  1. Paulo Gonçalves
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Paulo Gonçalves .

Editor information

Editors and Affiliations

  1. Computer Science, University of Calgary, Calgary, Alberta, Canada

    Reda Alhajj

  2. University of Calgary Computer Science, Calgary, Canada

    Jon Rokne

Section Editor information

  1. Department of Sociology, Interuniversity Center for Social Science Theory and Methodology, University of Groningen, Groningen, The Netherlands

    Jacob Dijkstra

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer Science+Business Media LLC

About this entry

Cite this entry

Gonçalves, P. (2017). Modeling of Business Processes and Crisis Management. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7163-9_275-1

Download citation

  • DOI: https://doi.org/10.1007/978-1-4614-7163-9_275-1

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-7163-9

  • Online ISBN: 978-1-4614-7163-9

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

Publish with us

Policies and ethics

Search

Navigation