Measuring Innovations in Crisis Management

Crisis management (CM) organizations regularly face the challenge to assess the potential impact of a change in their socio-technical setup. No matter if a new software, a new tool, a simple workflow or a broader organizational structure become available, CM organizations need to estimate the potential added value under a high degree of uncertainty. In general, the more reliable information about the new solution is available, the more informed the decisions are. One promising way in assessing the potential impact of new CM solutions can be found through its application in an as realistic as possible and an as secure as necessary setup. However, such artificial scenarios like simulation exercises hold the risk of measuring the performance of the solution itself rather than its contribution to the CM operation. In this paper we review the state of the art in measuring crisis management performance, discuss the results in the context of performance measurement in general and present a performance measurement approach supporting a structured assessment of innovative CM solutions applied within collaborative demonstration project.

[1]  Matthias Keller,et al.  Kennzahlenbasierte Wirtschaftlichkeitsbewertung in Produktions- und Logistiknetzwerken , 2007 .

[2]  David Parmenter,et al.  Key Performance Indicators: Developing, Implementing,and Using Winning KPIs , 2007 .

[3]  Laurent Dubost,et al.  Trialing a common operational picture in a simulated environment a DRIVER project trial , 2017, 2017 4th International Conference on Information and Communication Technologies for Disaster Management (ICT-DM).

[4]  Wei-Tsong Wang,et al.  Evaluating organisational performance during crises: A multi-dimensional framework , 2012 .

[5]  Kentaro Toyama,et al.  Geek Heresy: Rescuing Social Change from the Cult of Technology , 2015 .

[6]  M. Klumpp,et al.  PERFORMANCE MEASUREMENT IN HUMANITARIAN LOGISTICS : A LITERATURE REVIEW , 2013 .

[7]  Adam Widera,et al.  Assessment of Logistic and Traffic Management Tool-Suites for Crisis Management , 2016 .

[8]  Alexander Blecken.  Supply chain process modelling for humanitarian organizations , 2010 .

[9]  Didier Gourc,et al.  Towards a crisis performance-measurement system , 2013, Int. J. Comput. Integr. Manuf..

[10]  Wanda J. Orlikowski,et al.  Learning from Notes: organizational issues in groupware implementation , 1992, CSCW '92.

[11]  B. Hellingrath,et al.  Making Performance Measurement Work in Humanitarian Logistics. The Case of an IT-supported Balanced Scorecard , 2016 .

[12]  Henrik Hassel,et al.  Towards a System-Oriented Framework for Analysing and Evaluating Emergency Response , 2010 .

[13]  Adam Widera,et al.  Pictograms and assessment categories as crisis communication language: Lessons from a field exercise with GDACSmobile , 2016, 2016 3rd International Conference on Information and Communication Technologies for Disaster Management (ICT-DM).

[14]  Adam Widera,et al.  Bringing technology and humanitarian values together: A framework to design and assess humanitarian information systems , 2017, 2017 4th International Conference on Information and Communication Technologies for Disaster Management (ICT-DM).

[15]  C. Owen,et al.  Values and Complexities in Assessing Strategic‐Level Emergency Management Effectiveness , 2016 .

[16]  Denis Havlik,et al.  Interaction with citizens experiments: from context-aware alerting to crowdtasking , 2016, ISCRAM.

[17]  Didier Gourc,et al.  Towards a Performance Measurement System to Control Disaster Response , 2010, PRO-VE.

[18]  Adam Widera,et al.  Integrated Logistics and Transport Planning in Disaster Relief Operations , 2017, ISCRAM.

[19]  Thomas Reichmann.  Controlling mit Kennzahlen : Grundlagen einer systemgestützten Controlling-Konzeption , 1985 .