Wisdom Computing: Toward a Framework for Wisdom Research in Information Systems

Wisdom sits atop the knowledge pyramid in the Information Systems (IS) literature. Yet there has been little research on wisdom in the IS field despite the need to transform knowledge to wisdom. Perhaps there is no other subject central to human existence whose exploration holds so much promise as wisdom to help address myriad crises affecting the world. Wisdom is intricately connected to many topics in IS research such as knowledge management, decision support, modeling and symbolic representations, problem solving, systems thinking, and artificial intelligence among others. In this paper, we outline a framework for wisdom research for IS and explore research themes for the critically relevant phenomenon that may be called wisdom support using information technologies or “wisdom computing” for short. Wisdom computing is concerned with the design, management, use, and implications of information technologies for discovering, creating, sharing, and supporting wisdom, and may be conceived as part of an emerging area of wisdom management. We propose research questions that arise from the six major focal areas of the framework and their interactions. We believe that the IS discipline with its interdisciplinary focus on the relationships between information technologies and diverse individual, organizational, and societal issues including knowledge management and decision support systems is well positioned for wisdom computing research.

[1]  Martin Frické,et al.  The knowledge pyramid: a critique of the DIKW hierarchy , 2009, J. Inf. Sci..

[2]  Ramesh Sharda,et al.  Inductive Model Analysis Systems: Enhancing Model Analysis in Decision Support Systems , 1996, Inf. Syst. Res..

[3]  R. Sternberg,et al.  Wisdom, Intelligence, and Creativity Synthesized , 2003 .

[4]  Jennifer E. Rowley,et al.  The wisdom hierarchy: representations of the DIKW hierarchy , 2007, J. Inf. Sci..

[5]  Harold A. Linstone,et al.  The Unbounded Mind: Breaking the Chains of Traditional Business Thinking , 1993 .

[6]  NURTURING SYSTEMIC WISDOM THROUGH KNOWLEDGE ECOLOGY , 2000 .

[7]  Monika Ardelt,et al.  Wisdom as Expert Knowledge System: A Critical Review of a Contemporary Operationalization of an Ancient Concept , 2004, Human Development.

[8]  เถลิงศก โสมทิพย์ THE FIFTH DISCIPLINE The Art & Practice of the Learning Organization , 2012 .

[9]  Dorothy E. Leidner,et al.  Review: Knowledge Management and Knowledge Management Systems: Conceptual Foundations and Research Issues , 2001, MIS Q..

[10]  Murray E. Jennex Re-Visiting the Knowledge Pyramid , 2009 .

[11]  James F. Courtney,et al.  Decision making and knowledge management in inquiring organizations: toward a new decision-making paradigm for DSS , 2001, Decis. Support Syst..

[12]  Nikunj P. Dalal,et al.  Wisdom Networks: Towards a Wisdom-Based Society , 2008, WSKS.

[13]  C. Churchman,et al.  The design of inquiring systems: basic concepts of systems and organization , 1971 .

[14]  Ashok Jashapara,et al.  Knowledge Management: An Integrated Approach , 2010 .

[15]  Murray E. Jennex Re-Visiting the Knowledge Pyramid , 2009, 2009 42nd Hawaii International Conference on System Sciences.

[16]  S. Debowski Knowledge Management , 2005 .

[17]  Nikunj P. Dalal,et al.  Toward Reflective Dialogue based Inquiring Systems , 2006, AMCIS.

[18]  R. Ackoff From Data to Wisdom , 2014 .

[19]  J. Haynes,et al.  Inquiring Organizations: Moving From Knowledge Management To Wisdom , 2005 .

[20]  M. Zeleny Management support systems: Towards integrated knowledge management , 1987 .

[21]  Izak Benbasat,et al.  Research Commentary: Rethinking "Diversity" in Information Systems Research , 1996, Inf. Syst. Res..

[22]  E. Wenger,et al.  Cultivating Communities of Practice: A Guide to Managing Knowledge , 2002 .