A decision and reconstruction support framework: elaborating on web technology

In earlier research, we focused on the development of information models for distributed GDSS (Group Decision Support Systems), closing the gap between the study of concurrency control mechanisms, document structuring and decision tracking. The properties of the developed information model (implemented into a GDSS software tool) not only achieved the proposed goals, but allowed to support the reconstruction of past decision-making processes. Decision reconstruction is the process that allows an individual or group of individuals to understand how a GDSS supported group has reached a previous decision in the context of an organization. We believe that by fostering the decision reconstruction ability, we promote their capability for information retrieval, while fostering knowledge acquisition. In this paper we present a framework for developing decision and reconstruction support systems. With this framework a GDSS encompass not only quantitative analysis and deliberative support, but also decision reconstruction or traceability support. The building blocks of the framework are: Contribution support; Preservation of the information; Structure building support; Decision making and reporting; and Visual representation. Instead of advocate the development of systems from scratch, we posit their development by using the common functionalities of Web 2.0/3.0 tools.

[1]  Martin Lodge,et al.  Transparency mechanisms: building publicness into public services , 2001 .

[2]  James A. Hendler,et al.  Embracing "Web 3.0" , 2007, IEEE Internet Computing.

[3]  Jian Ma,et al.  Effect of GSS and facilitation on knowledge restructuring , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[4]  Jörg P. Müller,et al.  A flexible content repository to enable a peer‐to‐peer‐based wiki , 2009, Concurr. Comput. Pract. Exp..

[5]  Ramkrishnan V. Tenkasi,et al.  Designing Information Technology to Support Distributed Cognition Ceo Publication G 93-16 (236) Designing Information Technology to Support Distributed Cognition Designing Information Technology to Support Distributed Cognition , 1994 .

[6]  Morgan Ericsson,et al.  Analysis and visualization of information quality of technical documentation , 2010 .

[7]  João Paulo Costa,et al.  The missing link : theoretical reflections on decision reconstruction , 2010 .

[8]  Carlos Costa,et al.  Wiki: how to improve information quality? , 2009 .

[9]  Balasubramaniam Ramesh,et al.  Traceability-based knowledge integration in group decision and negotiation activities , 2007, Decis. Support Syst..

[10]  Chutiporn Anutariya,et al.  A Collective Intelligence Approach to Collaborative Knowledge Creation , 2008, 2008 Fourth International Conference on Semantics, Knowledge and Grid.

[11]  Luis A. Guerrero,et al.  Understanding organizational memory , 2001, SCCC 2001. 21st International Conference of the Chilean Computer Science Society.

[12]  Shin-Yuan Hung,et al.  Expanding Group Support System Capabilities from the Knowledge Management Perspective , 2008, Journal of International Technology and Information Management.

[13]  Michael Bieber,et al.  Collaborative Discourse Structures in Computer Mediated Group Communications , 1999, J. Comput. Mediat. Commun..

[14]  João Paulo Costa,et al.  Using GSS For Decision Reconstruction: A Preliminary Study , 2009, MCIS.

[15]  Rui Pedro Lourenço,et al.  A bliki model to support political discourse formation , 2008, Int. Sym. Wikis.

[16]  João Paulo Costa,et al.  Ascertaining group decision auditing capabilities , 2010 .

[17]  Bernard Moulin,et al.  A taxonomy of argumentation models used for knowledge representation , 2010, Artificial Intelligence Review.

[18]  Nikola Vlahović Web 2.0 and its Impact on Information Extraction Practices , 2010 .

[19]  Douglas R. Vogel,et al.  Fifteen years of GSS in the field: a comparison across time and national boundaries , 2003, 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the.

[20]  Romain Robbes,et al.  Versioning systems for evolution research , 2005, Eighth International Workshop on Principles of Software Evolution (IWPSE'05).

[21]  Peter Bajcsy,et al.  Understanding documentation and reconstruction requirements for computer-assisted decision processes , 2010, Decis. Support Syst..

[22]  Salvatore T. March,et al.  Design and natural science research on information technology , 1995, Decis. Support Syst..

[23]  João Paulo Costa,et al.  Unfading Decisions - A Position Paper on Decision Reconstruction , 2010, KEOD.

[24]  João Paulo Costa,et al.  Managing Divergent Information: Enhancing Document Expressiveness , 2006, Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06).

[25]  João Paulo Costa,et al.  Information management in distributed collaborative systems: The case of collaboration studio , 2007, Eur. J. Oper. Res..

[26]  Marco Padula,et al.  Managing Collective Knowledge in the Web 3.0 , 2009, 2009 First International Conference on Evolving Internet.

[27]  Mark Adkins,et al.  Participant-Driven Collaborative Convergence , 2008, Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008).

[28]  Hon Wai Chun,et al.  Automatic Tag Recommendation for Web 2.0 Blogosphere by Extracting Keywords from Similar Blogs , 2008 .

[29]  Jonathan Osborne,et al.  Arguing to Learn in Science: The Role of Collaborative, Critical Discourse , 2010, Science.

[30]  Åke Grönlund,et al.  PUBLIC DECISION SUPPORT - USING A DSS TO INCREASE DEMOCRATIC TRANSPARENCY , 2005 .