IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i9p3716-d353784.html
   My bibliography  Save this article

Information Technologies Supporting Emergency Management Controllers in New Zealand

Author

Listed:
  • Thomas J. Huggins

    (Joint Centre for Disaster Research, Massey University, Wellington 6021, New Zealand
    Division of Science and Technology, BNU-HKBU United International College, Zhuhai 519000, China)

  • Raj Prasanna

    (Joint Centre for Disaster Research, Massey University, Wellington 6021, New Zealand)

Abstract

Emergency management controllers throughout the developed world use various information technologies to help them manage emergencies. These emergencies can evolve rapidly, meaning that efficient information management is needed to minimize a range of uncertainties. Interviews with 12 emergency operation center controllers, from diverse areas of New Zealand, were analyzed using a grounded theory approach. Results of this analysis suggested that each center uses one or more software options to manage response-related information, such as: hazard assessments, task and event logs, and intelligence received in a range of formats. Their use of different software and non-electronic options appears to vary according to the experience of each emergency management controller. The current research has highlighted a range of considerations that need to be considered when developing information technologies for emergency management. As a whole, the current paper provides a rare and tangible look at how information technology is being used by important decision makers facing hard-to-predict emergency conditions in a developed country context.

Suggested Citation

  • Thomas J. Huggins & Raj Prasanna, 2020. "Information Technologies Supporting Emergency Management Controllers in New Zealand," Sustainability, MDPI, vol. 12(9), pages 1-16, May.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:9:p:3716-:d:353784
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/9/3716/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/9/3716/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Martin J. Eppler, 2006. "Managing Information Quality," Springer Books, Springer, edition 0, number 978-3-540-32225-2, December.
    2. Dorasamy, Magiswary & Raman, Murali & Kaliannan, Maniam, 2013. "Knowledge management systems in support of disasters management: A two decade review," Technological Forecasting and Social Change, Elsevier, vol. 80(9), pages 1834-1853.
    3. Diehl, Ernst & Sterman, John D., 1995. "Effects of Feedback Complexity on Dynamic Decision Making," Organizational Behavior and Human Decision Processes, Elsevier, vol. 62(2), pages 198-215, May.
    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. Feng Wu & Wanqiang Xu & Chaoran Lin & Yanwei Zhang, 2022. "Knowledge Trajectories on Public Crisis Management Research from Massive Literature Text Using Topic-Clustered Evolution Extraction," Mathematics, MDPI, vol. 10(12), pages 1-18, June.
    2. Xiaohui Su & Shurui Ma & Xiaokang Qiu & Jiabin Shi & Xiaodong Zhang & Feixiang Chen, 2021. "Microblog Topic-Words Detection Model for Earthquake Emergency Responses Based on Information Classification Hierarchy," IJERPH, MDPI, vol. 18(15), pages 1-20, July.
    3. Pan Tang & Shiqi Shao & Dapeng Zhou & Huihua Hu, 2021. "Understanding the Collaborative Process and Its Effects on Perceived Outcomes during Emergency Response in China: From Perspectives of Local Government Sectors," Sustainability, MDPI, vol. 13(14), pages 1-19, July.

    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. Shuchih Ernest Chang & Hueimin Louis Luo & YiChian Chen, 2019. "Blockchain-Enabled Trade Finance Innovation: A Potential Paradigm Shift on Using Letter of Credit," Sustainability, MDPI, vol. 12(1), pages 1-16, December.
    2. Risto Silvola & Janne Harkonen & Olli Vilppola & Hanna Kropsu-Vehkapera & Harri Haapasalo, 2016. "Data quality assessment and improvement," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 22(1), pages 62-81.
    3. U Benzion & Y Cohen & R Peled & T Shavit, 2008. "Decision-making and the newsvendor problem: an experimental study," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(9), pages 1281-1287, September.
    4. Anne M. Farrell & Joan Luft & Michael D. Shields, 2007. "Accuracy in Judging the Nonlinear Effects of Cost and Profit Drivers," Contemporary Accounting Research, John Wiley & Sons, vol. 24(4), pages 1139-1169, December.
    5. Gibson, Faison P., 2000. "Feedback Delays: How Can Decision Makers Learn Not to Buy a New Car Every Time the Garage Is Empty?," Organizational Behavior and Human Decision Processes, Elsevier, vol. 83(1), pages 141-166, September.
    6. U Benzion & Y Cohen & T Shavit, 2010. "The newsvendor problem with unknown distribution," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(6), pages 1022-1031, June.
    7. Harvey, Nigel & Koehler, Derek J. & Ayton, Peter, 1997. "Judgments of Decision Effectiveness: Actor-Observer Differences in Overconfidence," Organizational Behavior and Human Decision Processes, Elsevier, vol. 70(3), pages 267-282, June.
    8. Raizza Miranda & Markus Schwaninger & Alvimar Lucena & Ygor Logullo & Mischel Carmen N. Belderrain & Tereza C. M. B. Carvalho & Renato C. Sato, 2023. "Sustainable Amazon: A Systemic Inquiry with Native Populations," Sustainability, MDPI, vol. 15(9), pages 1-24, May.
    9. Matteo Cristofaro, 2016. "Cognitive styles in dynamic decision making: a laboratory experiment," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 15(1), pages 53-82.
    10. John Hey & Tibor Neugebauer & Abdolkarim Sadrieh, 2009. "An Experimental Analysis of Optimal Renewable Resource Management: The Fishery," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 44(2), pages 263-285, October.
    11. Linda Argote & Sunkee Lee & Jisoo Park, 2021. "Organizational Learning Processes and Outcomes: Major Findings and Future Research Directions," Management Science, INFORMS, vol. 67(9), pages 5399-5429, September.
    12. Gaspar, Rui & Yan, Zheng & Domingos, Samuel, 2019. "Extreme natural and man-made events and human adaptive responses mediated by information and communication technologies' use: A systematic literature review," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 125-135.
    13. Atun, Rifat A. & Lebcir, Reda M. & McKee, Martin & Habicht, Jarno & Coker, Richard J., 2007. "Impact of joined-up HIV harm reduction and multidrug resistant tuberculosis control programmes in Estonia: System dynamics simulation model," Health Policy, Elsevier, vol. 81(2-3), pages 207-217, May.
    14. Yang, Y. & Lin, J. & Liu, G. & Zhou, L., 2021. "The behavioural causes of bullwhip effect in supply chains: A systematic literature review," International Journal of Production Economics, Elsevier, vol. 236(C).
    15. Cleotilde Gonzalez & Jose Quesada, 2003. "Learning in Dynamic Decision Making: The Recognition Process," Computational and Mathematical Organization Theory, Springer, vol. 9(4), pages 287-304, December.
    16. De Sordi, José Osvaldo & Nelson, Reed, Elliot & Meireles, Manuel & da Silveira, Marco Antonio, 2016. "Development of digital products and services: Proposal of a framework to analyze versioning actions," European Management Journal, Elsevier, vol. 34(5), pages 564-578.
    17. Miragliotta, Giovanni & Brun, Alessandro & Soydan, Ilker A., 2009. "Coordinating multi-business sales through management simulators," International Journal of Production Economics, Elsevier, vol. 121(2), pages 533-549, October.
    18. Grudzień, Łukasz & Hamrol, Adam, 2016. "Information quality in design process documentation of quality management systems," International Journal of Information Management, Elsevier, vol. 36(4), pages 599-606.
    19. Strohhecker, Jürgen & Leyer, Michael, 2019. "How stock-flow failure and general cognitive ability impact performance in operational dynamic control tasks," European Journal of Operational Research, Elsevier, vol. 276(3), pages 1044-1055.
    20. Mittone, Luigi & Morreale, Azzurra & Ritala, Paavo, 2024. "Initial conditions and path dependence in explorative and exploitative learning: An experimental study," Technovation, Elsevier, vol. 129(C).

    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:gam:jsusta:v:12:y:2020:i:9:p:3716-:d:353784. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.