Studying Organizationally-situated Improvisation in Response to Extreme Events

Extreme events such as large-scale natural disasters create the need for cooperation within and among responding organizations. Activities to mitigate the effects of these events can be expected to range from planned to improvised. This paper presents a methodology for describing both the context and substance of improvisation during the response phase. The context is described by (i) analyzing communication patterns among personnel in and among responding organizations and (ii) determining the appropriateness of existing plans to the event. The substance of improvisation within this context is described by modeling the behavior and cognition of response personnel. Application of the methodology leads to descriptions of improvisation and its context that may be stored in machine-readable format for use either by researchers, responding organizations or designers of computer-based tools to support improvised decision making. Data collection strategies for implementing the methodology are discussed and selected steps illustrated using a dataset from a large-scale natural disaster.

[1]  R. Merton Social Theory and Social Structure , 1958 .

[2]  T. Drabek,et al.  Laboratory simulation of organizational stress. , 1969, American sociological review.

[3]  Russell R. Dynes,et al.  Organizational Communications and Decision Making in Crises , 1976 .

[4]  E. L. Quarantelli,et al.  Uses and Preblems of Local EOCs in Disasters , 1978 .

[5]  L. Freeman Centrality in social networks conceptual clarification , 1978 .

[6]  William A. Wallace,et al.  SIMULATION OF A CRISIS MANAGEMENT INFORMATION NETWORK: A SERENDIPITOUS EVALUATION , 1983 .

[7]  R. Yin Case Study Research: Design and Methods , 1984 .

[8]  H. P Nii,et al.  Blackboard Systems , 1986 .

[9]  D. Wenger The Role of Archives for Comparative Studies of Social Structure and Disaster , 1986 .

[10]  Gary A. Kreps,et al.  Structure as Process: Organization and Role , 1986 .

[11]  J.Barry Cullingworth,et al.  The international city management association , 1987 .

[12]  Enrico L Quarantelli,et al.  Disaster Studies: An Analysis of the Social Historical Factors Affecting the Development of Research in the Area , 1987, International Journal of Mass Emergencies & Disasters.

[13]  V. Jagannathan,et al.  Blackboard Architectures and Applications , 1989 .

[14]  Y. I. Liou,et al.  Knowledge acquisition: issues, techniques, and methodology , 1990, SIGBDP '90.

[15]  Alan J. Mayne,et al.  Decision Research: A Field Guide , 1990 .

[16]  Kathleen M. Carley,et al.  Extracting, Representing, and Analyzing Mental Models , 1992 .

[17]  Victor Lesser,et al.  The Evolution of Blackboard Control Architectures , 1992 .

[18]  G. Klein,et al.  A recognition-primed decision (RPD) model of rapid decision making. , 1993 .

[19]  Gary A. Kreps,et al.  Disaster, Organizing, and Role Enactment: A Structural Approach , 1993, American Journal of Sociology.

[20]  D. F. Gillespie,et al.  Structural Change in Disaster Preparedness Networks , 1993, International Journal of Mass Emergencies & Disasters.

[21]  Stanley Wasserman,et al.  Social Network Analysis: Methods and Applications , 1994 .

[22]  Farhi Marir,et al.  Case-based reasoning: A review , 1994, The Knowledge Engineering Review.

[23]  Nancy J. Cooke,et al.  Varieties of knowledge elicitation techniques , 1994, Int. J. Hum. Comput. Stud..

[24]  Kathleen M. Carley,et al.  Metric inference for social networks , 1994 .

[25]  T. J. Scanlon The Role of EOCs in Emergency Management: A Comparison of Canadian and American Experience , 1994 .

[26]  N. Shadbolt,et al.  Eliciting Knowledge from Experts: A Methodological Analysis , 1995 .

[27]  Barbara Hayes-Roth,et al.  Multiagent Collaboration in Directed Improvisation , 1997, ICMAS.

[28]  Philippe Lalanda,et al.  A Domain-Specific Software Architecture for Adaptive Intelligent Systems , 1995, IEEE Trans. Software Eng..

[29]  Pi-Sheng Deng,et al.  Using case-based reasoning approach to the support of ill-structured decisions , 1996 .

[30]  E. L. Quarantelli,et al.  The Disaster Research Center Field Studies of Organized Behavior in the Crisis Time Period of Disasters , 1997, International Journal of Mass Emergencies & Disasters.

[31]  Kathleen M. Carley Extracting team mental models through textual analysis , 1997 .

[32]  Soumitra Dutta,et al.  Case-Based Reasoning Systems: From Automation to Decision-Aiding and Simulation , 1997, IEEE Trans. Knowl. Data Eng..

[33]  Kathleen M. Carley Extracting team mental models through textual analysis , 1997 .

[34]  Thomas E. Drabek,et al.  Following Some Dreams: Recognizing Opportunities, Posing Interesting Questions, and Implementing Alternative Methods , 1997, International Journal of Mass Emergencies & Disasters.

[35]  Anne S. Miner,et al.  Organizational Improvisation and Organizational Memory , 1998 .

[36]  K. Weick Improvisation as a Mindset for Organizational Analysis , 1998 .

[37]  Nigel Shadbolt,et al.  Use of the Critical Decision Method to Elicit Expert Knowledge: A Case Study in the Methodology of Cognitive Task Analysis , 1998, Hum. Factors.

[38]  Gary R. Webb,et al.  ROLE IMPROVISING UNDER CONDITIONS OF UNCERTAINTY: A CLASSIFICATION OF TYPES , 1999 .

[39]  Karlene H. Roberts,et al.  The Incident Command System : High Reliability Organizing for Complex and Volatile Task , 2007 .

[40]  David Mendonça,et al.  Development of a decision logic to support group improvisation: an application to emergency response , 2002, Proceedings of the 35th Annual Hawaii International Conference on System Sciences.

[41]  S. Read Applications of Case Study Research , 2003 .

[42]  Rocky Ross,et al.  Mental models , 2004, SIGA.

[43]  Barbara Hayes-Roth,et al.  Architectural foundations for real-time performance in intelligent agents , 1990, Real-Time Systems.