IDEAS home Printed from https://ideas.repec.org/a/bla/srbeha/v38y2021i6p911-922.html
   My bibliography  Save this article

Applying system archetypes in real estate development crises

Author

Listed:
  • Amr Abdel‐Latif
  • Ahmed Saad‐Eldien
  • Mohamed Marzouk

Abstract

Real estate development organizations are working in an environment that is associated with uncertainties due to the complexity of their structure and operation systems, which make them more prone to crises events. Therefore, a proactive approach for crisis management should be integrated with their long‐term strategies. System archetypes have the ability to unfold the complexity within these organizations and to provide them with an effective aiding tool in this management process. Identifying crises' scenarios and deploying them on system archetypes are essential in order to make the archetypes functional and operative. The standard archetypes in their qualitative form clarify crises' symptoms, characteristics, root causes and consequences. While in their quantitative form demonstrate with numbers the positive impact of the adopted containment strategy. The outcome of the deployment process provides a comprehensive knowledge about crises' scenarios and their containment policies that enhances the decision‐making process within the organizations.

Suggested Citation

  • Amr Abdel‐Latif & Ahmed Saad‐Eldien & Mohamed Marzouk, 2021. "Applying system archetypes in real estate development crises," Systems Research and Behavioral Science, Wiley Blackwell, vol. 38(6), pages 911-922, November.
    • Handle: RePEc:bla:srbeha:v:38:y:2021:i:6:p:911-922
    DOI: 10.1002/sres.2721
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/sres.2721
    Download Restriction: no
    File URL: https://libkey.io/10.1002/sres.2721?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Raghav Rajagopalan & Gerald Midgley, 2015. "Knowing Differently in Systemic Intervention," Systems Research and Behavioral Science, Wiley Blackwell, vol. 32(5), pages 546-561, September.
    2. Novie Andri Setianto & Donald Cameron & John B. Gaughan, 2014. "Identifying Archetypes of an Enhanced System Dynamics Causal Loop Diagram in Pursuit of Strategies to Improve Smallholder Beef Farming in Java, Indonesia," Systems Research and Behavioral Science, Wiley Blackwell, vol. 31(5), pages 642-654, September.
    3. John D. Sterman, 1989. "Modeling Managerial Behavior: Misperceptions of Feedback in a Dynamic Decision Making Experiment," Management Science, INFORMS, vol. 35(3), pages 321-339, March.
    4. Sterman, John D., 1989. "Misperceptions of feedback in dynamic decision making," Organizational Behavior and Human Decision Processes, Elsevier, vol. 43(3), pages 301-335, June.
    5. Stephanie Duchek, 2020. "Organizational resilience: a capability-based conceptualization," Business Research, Springer;German Academic Association for Business Research, vol. 13(1), pages 215-246, April.
    6. Vladimír Bureš & Fridrich Racz, 2016. "Application of system archetypes in practice: an underutilised pathway to better managerial performance," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 17(6), pages 1081-1096, November.
    Full references (including those not matched with items on IDEAS)

    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. Pastore, Erica & Alfieri, Arianna & Zotteri, Giulio, 2019. "An empirical investigation on the antecedents of the bullwhip effect: Evidence from the spare parts industry," International Journal of Production Economics, Elsevier, vol. 209(C), pages 121-133.
    2. Ramesh Bollapragada & Akash Mankude & V. Udayabhanu, 2021. "Forecasting the price of crude oil," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 48(2), pages 207-231, June.
    3. Berry, D. & Naim, M. M., 1996. "Quantifying the relative improvements of redesign strategies in a P.C. supply chain," International Journal of Production Economics, Elsevier, vol. 46(1), pages 181-196, December.
    4. Towill, Denis R. & Zhou, Li & Disney, Stephen M., 2007. "Reducing the bullwhip effect: Looking through the appropriate lens," International Journal of Production Economics, Elsevier, vol. 108(1-2), pages 444-453, July.
    5. Gérard P. Cachon & Taylor Randall & Glen M. Schmidt, 2007. "In Search of the Bullwhip Effect," Manufacturing & Service Operations Management, INFORMS, vol. 9(4), pages 457-479, April.
    6. Vasileios Kosmas & Michele Acciaro & Maria Besiou, 2022. "Saving migrants’ lives at sea: Improving search and rescue operations," Production and Operations Management, Production and Operations Management Society, vol. 31(4), pages 1872-1889, April.
    7. Gerhard Streicher & Andreas Reinstaller, 2021. "Die Auswirkungen der Digitalisierung in der Industrie auf den Gütertransport in Österreich," WIFO Studies, WIFO, number 67332.
    8. Oliva, Rogelio, 2003. "Model calibration as a testing strategy for system dynamics models," European Journal of Operational Research, Elsevier, vol. 151(3), pages 552-568, December.
    9. Hazhir Rahmandad & Nelson Repenning, 2016. "Capability erosion dynamics," Strategic Management Journal, Wiley Blackwell, vol. 37(4), pages 649-672, April.
    10. Frederick H. Abernathy & John T. Dunlop & Janice H. Hammond & David Weil, 1995. "The Information-Integrated Channel: A Study of the U.S. Apparel Industry in Transition," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 26(1995 Micr), pages 175-246.
    11. Ma, Yungao & Wang, Nengmin & He, Zhengwen & Lu, Jizhou & Liang, Huigang, 2015. "Analysis of the bullwhip effect in two parallel supply chains with interacting price-sensitive demands," European Journal of Operational Research, Elsevier, vol. 243(3), pages 815-825.
    12. Roberto Dominguez & Salvatore Cannella & Borja Ponte & Jose M. Framinan, 2022. "Information sharing in decentralised supply chains with partial collaboration," Flexible Services and Manufacturing Journal, Springer, vol. 34(2), pages 263-292, June.
    13. Rich, Karl M. & Ross, R. Brent & Baker, A. Derek & Negassa, Asfaw, 2011. "Quantifying value chain analysis in the context of livestock systems in developing countries," Food Policy, Elsevier, vol. 36(2), pages 214-222, April.
    14. Li Chen & Hau L. Lee, 2012. "Bullwhip Effect Measurement and Its Implications," Operations Research, INFORMS, vol. 60(4), pages 771-784, August.
    15. Hazhir Rahmandad, 2012. "Impact of Growth Opportunities and Competition on Firm-Level Capability Development Trade-offs," Organization Science, INFORMS, vol. 23(1), pages 138-154, February.
    16. Gérard P. Cachon & Paul H. Zipkin, 1999. "Competitive and Cooperative Inventory Policies in a Two-Stage Supply Chain," Management Science, INFORMS, vol. 45(7), pages 936-953, July.
    17. Carole Camisullis & Vincent Giard & Gisele Mendy-Bilek, 2010. "The information to share in upstream supply chains dedicated to mass production of customized products for allowing a decentralized management," Working Papers hal-00876993, HAL.
    18. Leopold-Wildburger, Ulrike & Strohhecker, Jürgen, 2017. "Strategy map concepts in a balanced scorecard cockpit improve performanceAuthor-Name: Hu, Bo," European Journal of Operational Research, Elsevier, vol. 258(2), pages 664-676.
    19. Delgado-Alvarez, Carlos A. & van Ackere, Ann & Larsen, Erik R & Arango-Aramburo, Santiago, 2017. "Managing capacity at a service facility: An experimental approach," European Journal of Operational Research, Elsevier, vol. 259(1), pages 216-228.
    20. Zhang, Xiaolong & Burke, Gerard J., 2011. "Analysis of compound bullwhip effect causes," European Journal of Operational Research, Elsevier, vol. 210(3), pages 514-526, May.

    More about this item

    Statistics

    Access and download statistics

    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:bla:srbeha:v:38:y:2021:i:6:p:911-922. 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: Wiley Content Delivery (email available below). General contact details of provider: http://onlinelibrary.wiley.com/journal/10.1111/1092-7026 .

    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.