Modeling and analyzing communications infrastructure: a case study of an international organization

EnCompass/spl reg/, a Web-enabled system for organizational process visualization, analysis, synthesis, and management, provides an interactive vehicle for understanding the influence of the modus of interaction on the impact and effectiveness or organizational communication, decision-making, and task execution processes. The conceptual framework of EnCompass/spl reg/ is straightforward. Using a tailored data collection instrument (DCI), information is collected from the members of the organization (and external interfaces, as appropriate) about their individual interactions on selected issues of consequence. The population for the survey is designed to include those individuals that have significant impact on the issues selected for consideration. Each participant completes the DCI indicating the individuals with whom they have regular, task related interaction; the frequency of the interaction, on a numerical scale relevant to the particular study; the importance that they perceive the interaction has for task execution on a numerical scale ranging from unimportant to critical; and the impact that the interactions have on decisions related to each of the issues. In addition, the modus of the interactions is indicated.

[1]  John A. Buzacott,et al.  Stochastic models of manufacturing systems , 1993 .

[2]  Jean MacMillan,et al.  VISualization of Threats and Attacks ( VISTA ) in Urban Environments , 2002 .

[3]  John A. Buzacott.  Reliability Analysis of a Nuclear Reactor Fuel Charging System , 1973 .

[4]  Linda Pesante,et al.  CERT® Coordination Center , 2002 .

[5]  Kevin J. Sullivan,et al.  Towards a rigorous definition of information system survivability , 2003, Proceedings DARPA Information Survivability Conference and Exposition.

[6]  J. A. Buzacott,et al.  Flexibility analysis: A methodology and a case study , 2002 .

[7]  Steven M. Rinaldi,et al.  Modeling and simulating critical infrastructures and their interdependencies , 2004, 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the.

[8]  Henk Sol,et al.  Proceedings of the 54th Hawaii International Conference on System Sciences , 1997, HICSS 2015.

[9]  Henry M. Kim,et al.  Exploiting the Small-Worlds of the Semantic Web to Connect Heterogeneous, Local Ontologies , 2005, Inf. Technol. Manag..

[10]  Michael Uschold,et al.  Ontologies: principles, methods and applications , 1996, The Knowledge Engineering Review.

[11]  S. Borgatti,et al.  Making Invisible Work Visible: Using Social Network Analysis to Support Strategic Collaboration , 2002 .

[12]  Mark A. Turnquist,et al.  Assessing the performance of interdependent infrastructures and optimizing investments , 2004, 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the.

[13]  Kathleen M. Carley.  Intra-Organizational Computation and Complexity , 2003 .

[14]  Michael X Cohen,et al.  Harnessing Complexity: Organizational Implications of a Scientific Frontier , 2000 .

[15]  Reed Elliot Nelson,et al.  On the Shape of Verbal Networks in Organizations , 2001 .

[16]  John A. Buzacott,et al.  Node partition formula for directed graph reliability , 1987, Networks.

[17]  Dr. Richard Stern.  Survivability Requirements for the U . S . Health Care Industry , 2000 .

[18]  John A. Buzacott,et al.  Commonalities in Reengineered Business Processes: Models and Issues , 1996 .

[19]  Markus Biehl,et al.  Clean manufacturing strategies under the influence of public policy , 1999, PICMET '99: Portland International Conference on Management of Engineering and Technology. Proceedings Vol-1: Book of Summaries (IEEE Cat. No.99CH36310).

[20]  Nancy R. Mead,et al.  Survivability: Protecting Your Critical Systems , 1999, IEEE Internet Comput..

[21]  David A. Fisher,et al.  Emergent algorithms-a new method for enhancing survivability in unbounded systems , 1999, Proceedings of the 32nd Annual Hawaii International Conference on Systems Sciences. 1999. HICSS-32. Abstracts and CD-ROM of Full Papers.

[22]  Joao Antonio Pereira,et al.  Linked: The new science of networks , 2002 .

[23]  H M Kim,et al.  An Ontology for Quality Management — Enabling Quality Problem Identification and Tracing , 1999 .

[24]  Michael M. Mann.  Organizational process visualization , 1999, Proceedings of the 32nd Annual Hawaii International Conference on Systems Sciences. 1999. HICSS-32. Abstracts and CD-ROM of Full Papers.

[25]  Lada A. Adamic,et al.  The Web's hidden order , 2001, CACM.

[26]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[27]  Albert,et al.  Emergence of scaling in random networks , 1999, Science.

[28]  Eric D. Darr,et al.  Developing the productivity of a dynamic workforce: The impact of informal knowledge transfer , 2002 .

[29]  Kathleen M. Carley,et al.  A network optimization approach for improving organizational design , 2004 .

[30]  J. A. Buzacott,et al.  Reliability Evaluation of Systems with after Fault Switching , 1987, IEEE Transactions on Power Systems.

[31]  J. S. Hunter,et al.  Statistics for experimenters : an introduction to design, data analysis, and model building , 1979 .

[32]  Gérard P. Cachon,et al.  Perspective: Complexity Theory and Organization Science , 1999, Organization Science.

[33]  John A. Buzacott,et al.  An Algorithm for Symbolic Reliability Computation with Path-sets or Cut-sets , 1987, IEEE Transactions on Reliability.

[34]  James P. Peerenboom,et al.  Identifying, understanding, and analyzing critical infrastructure interdependencies , 2001 .