IDEAS home Printed from https://ideas.repec.org/a/bla/popmgt/v30y2021i2p543-562.html
   My bibliography  Save this article

Evaluating Disaster Operations Management: An Outcome‐Process Integrated Approach

Author

Listed:
  • Claudia Paciarotti
  • Inna Valiakhmetova

Abstract

Humanitarian operations play a crucial role in alleviating human and social losses caused by natural disasters. The best way to know responders’ preparedness and ability to conduct efficient and effective humanitarian operations is to perform an evaluation. When evaluating humanitarian operations, the focus is mainly on their outcomes while the option of concentrating on the process is only mentioned, without examining in‐depth the subject nor providing specific tools for its analysis. This study tries to fill this gap by proposing and testing an outcome/process integrated approach for the evaluation of disaster operations management. The output analysis and the process analysis of disaster operations management are performed jointly by means of a questionnaire and a modeling tool, respectively. The integrated framework proposed has been applied to the emergency response of a small non‐profit organization to a flood. It has been shown that the two methods applied separately could give a distorted or partial picture of the operations under study, while the integrated framework proposed has proved to be effective, since it has brought to a deeper understanding of the processes. The approach can be used by practitioners to evaluate disaster operations management, and accurately and efficiently identify the key elements, strengths, and main weaknesses of relief operations.

Suggested Citation

  • Claudia Paciarotti & Inna Valiakhmetova, 2021. "Evaluating Disaster Operations Management: An Outcome‐Process Integrated Approach," Production and Operations Management, Production and Operations Management Society, vol. 30(2), pages 543-562, February.
  • Handle: RePEc:bla:popmgt:v:30:y:2021:i:2:p:543-562
    DOI: 10.1111/poms.13280
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/poms.13280
    Download Restriction: no

    File URL: https://libkey.io/10.1111/poms.13280?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. Jyotsna Puri & Anastasia Aladysheva & Vegard Iversen & Yashodhan Ghorpade & Tilman Brück, 2017. "Can rigorous impact evaluations improve humanitarian assistance?," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 9(4), pages 519-542, October.
    2. Vincent Abt & Frédéric Vigier & Michel Schneider, 2009. "Enterprise Business Modelling Languages Applied to Farm Enterprise: A Case Study for IDEF0, GRAI Grid, and AMS Languages," Springer Optimization and Its Applications, in: Panos M. Pardalos & Petraq J. Papajorgji (ed.), Advances in Modeling Agricultural Systems, pages 167-191, Springer.
    3. Kunz, Nathan & Reiner, Gerald & Gold, Stefan, 2014. "Investing in disaster management capabilities versus pre-positioning inventory: A new approach to disaster preparedness," International Journal of Production Economics, Elsevier, vol. 157(C), pages 261-272.
    4. E. Piatyszek & G. Karagiannis, 2012. "A model-based approach for a systematic risk analysis of local flood emergency operation plans: a first step toward a decision support system," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 61(3), pages 1443-1462, April.
    5. Pérouse de Montclos, Marc-Antoine, 2012. "Humanitarian action in developing countries: Who evaluates who?," Evaluation and Program Planning, Elsevier, vol. 35(1), pages 154-160.
    6. Galindo, Gina & Batta, Rajan, 2013. "Review of recent developments in OR/MS research in disaster operations management," European Journal of Operational Research, Elsevier, vol. 230(2), pages 201-211.
    7. Nagurney, Anna & Flores, Emilio Alvarez & Soylu, Ceren, 2016. "A Generalized Nash Equilibrium network model for post-disaster humanitarian relief," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 95(C), pages 1-18.
    8. Waissi, Gary R. & Demir, Mustafa & Humble, Jane E. & Lev, Benjamin, 2015. "Automation of strategy using IDEF0 — A proof of concept," Operations Research Perspectives, Elsevier, vol. 2(C), pages 106-113.
    9. Oloruntoba, Richard, 2010. "An analysis of the Cyclone Larry emergency relief chain: Some key success factors," International Journal of Production Economics, Elsevier, vol. 126(1), pages 85-101, July.
    10. Marianne Jahre & Nathalie Fabbe-Costes, 2015. "How standards and modularity can improve humanitarian supply chain responsiveness. The case of emergency response units," Post-Print hal-01419104, HAL.
    11. Alem, Douglas & Clark, Alistair & Moreno, Alfredo, 2016. "Stochastic network models for logistics planning in disaster relief," European Journal of Operational Research, Elsevier, vol. 255(1), pages 187-206.
    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. Chunlin Wu & Han Yao & Xin Ning & Lei Wang, 2021. "Emergence of Informal Safety Leadership: A Social–Cognitive Process for Accident Prevention," Production and Operations Management, Production and Operations Management Society, vol. 30(11), pages 4288-4305, November.
    2. Kundu, Tanmoy & Sheu, Jiuh-Biing & Kuo, Hsin-Tsz, 2022. "Emergency logistics management—Review and propositions for future research," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    3. Pan, Yuqing & Cheng, T.C.E. & He, Yuxuan & Ng, Chi To & Sethi, Suresh P., 2022. "Foresighted medical resources allocation during an epidemic outbreak," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    4. Dusan Repík & Pavel Foltin, 2023. "Analysis Of Problems Of The Performance Management Of Humanitarian Supply Chains," Business Logistics in Modern Management, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 23, pages 217-238.
    5. Timperio, Giuseppe & Kundu, Tanmoy & Klumpp, Matthias & de Souza, Robert & Loh, Xiu Hui & Goh, Kelvin, 2022. "Beneficiary-centric decision support framework for enhanced resource coordination in humanitarian logistics: A case study from ASEAN," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 167(C).

    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. Abhishek Behl & Pankaj Dutta, 2019. "Humanitarian supply chain management: a thematic literature review and future directions of research," Annals of Operations Research, Springer, vol. 283(1), pages 1001-1044, December.
    2. Doan, Xuan Vinh & Shaw, Duncan, 2019. "Resource allocation when planning for simultaneous disasters," European Journal of Operational Research, Elsevier, vol. 274(2), pages 687-709.
    3. Rodríguez-Espíndola, Oscar & Ahmadi, Hossein & Gastélum-Chavira, Diego & Ahumada-Valenzuela, Omar & Chowdhury, Soumyadeb & Dey, Prasanta Kumar & Albores, Pavel, 2023. "Humanitarian logistics optimization models: An investigation of decision-maker involvement and directions to promote implementation," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    4. Sabbaghtorkan, Monir & Batta, Rajan & He, Qing, 2020. "Prepositioning of assets and supplies in disaster operations management: Review and research gap identification," European Journal of Operational Research, Elsevier, vol. 284(1), pages 1-19.
    5. Timperio, Giuseppe & Kundu, Tanmoy & Klumpp, Matthias & de Souza, Robert & Loh, Xiu Hui & Goh, Kelvin, 2022. "Beneficiary-centric decision support framework for enhanced resource coordination in humanitarian logistics: A case study from ASEAN," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 167(C).
    6. Jimoh Eniola Olaogbebikan & Richard Oloruntoba, 2019. "Similarities between disaster supply chains and commercial supply chains: a SCM process view," Annals of Operations Research, Springer, vol. 283(1), pages 517-542, December.
    7. Rodolfo Modrigais Strauss Nunes & Susana Carla Farias Pereira, 2022. "Intellectual structure and trends in the humanitarian operations field," Annals of Operations Research, Springer, vol. 319(1), pages 1099-1157, December.
    8. Sperling, Martina & Schryen, Guido, 2022. "Decision support for disaster relief: Coordinating spontaneous volunteers," European Journal of Operational Research, Elsevier, vol. 299(2), pages 690-705.
    9. Diaz, Rafael & Behr, Joshua G. & Acero, Beatriz, 2022. "Coastal housing recovery in a postdisaster environment: A supply chain perspective," International Journal of Production Economics, Elsevier, vol. 247(C).
    10. Su, Qiang & Luo, Qinyi & Huang, Samuel H., 2015. "Cost-effective analyses for emergency medical services deployment: A case study in Shanghai," International Journal of Production Economics, Elsevier, vol. 163(C), pages 112-123.
    11. Laura Laguna-Salvadó & Matthieu Lauras & Uche Okongwu & Tina Comes, 2019. "A multicriteria Master Planning DSS for a sustainable humanitarian supply chain," Annals of Operations Research, Springer, vol. 283(1), pages 1303-1343, December.
    12. Deepa Mishra & Sameer Kumar & Elkafi Hassini, 2019. "Current trends in disaster management simulation modelling research," Annals of Operations Research, Springer, vol. 283(1), pages 1387-1411, December.
    13. Ali Torabi, S. & Shokr, Iman & Tofighi, Saeideh & Heydari, Jafar, 2018. "Integrated relief pre-positioning and procurement planning in humanitarian supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 113(C), pages 123-146.
    14. Zhongzhen Yang & Liquan Guo & Zaili Yang, 2019. "Emergency logistics for wildfire suppression based on forecasted disaster evolution," Annals of Operations Research, Springer, vol. 283(1), pages 917-937, December.
    15. Tina Comes & Bartel Van de Walle & Luk Van Wassenhove, 2020. "The Coordination‐Information Bubble in Humanitarian Response: Theoretical Foundations and Empirical Investigations," Production and Operations Management, Production and Operations Management Society, vol. 29(11), pages 2484-2507, November.
    16. Pouraliakbari-Mamaghani, Mahsa & Saif, Ahmed & Kamal, Noreen, 2023. "Reliable design of a congested disaster relief network: A two-stage stochastic-robust optimization approach," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    17. Atefe Baghaian & M. M. Lotfi & Shabnam Rezapour, 2022. "Integrated deployment of local urban relief teams in the first hours after mass casualty incidents," Operational Research, Springer, vol. 22(4), pages 4517-4555, September.
    18. Jie Cao & He Han & Yi-Ping Jiang & Ya-Jing Wang, 2018. "Emergency Rescue Vehicle Dispatch Planning Using a Hybrid Algorithm," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(06), pages 1865-1890, November.
    19. Sarah Schiffling & Claire Hannibal & Matthew Tickle & Yiyi Fan, 2022. "The implications of complexity for humanitarian logistics: a complex adaptive systems perspective," Annals of Operations Research, Springer, vol. 319(1), pages 1379-1410, December.
    20. Devendra K. Yadav & Akhilesh Barve, 2019. "Prioritization of cyclone preparedness activities in humanitarian supply chains using fuzzy analytical network process," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 97(2), pages 683-726, June.

    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:popmgt:v:30:y:2021:i:2:p:543-562. 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/(ISSN)1937-5956 .

    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.