Supporting Creative Problem Solving with a Case-Based Reasoning System

Attention for the division of work between computers and humans is growing due to ever-increasing computer capabilities. Over the past decades, creativity support systems (CSSs) have gained ground as a means to enhance individual, group, and organizational creativity. Whereas prior research has focused primarily on the main effects of CSSs, we explore the interaction effects with the creative ability of the individual. In this paper, we investigate the use of the case-based reasoning (CBR) technology, which is based on the principle of analogical reasoning, to aid individuals in solving business problems creatively. The expectations as to why the CBR technology should enhance individual creativity, and under what conditions (i.e., the type and number of cases that are made available), are derived from creative cognition theory, and are tested empirically. In a series of studies, a CBR system loaded with a diverse set of cases was found to enhance the performance of individuals with lower creative ability, but it did not help the most creative individuals. Although the literature suggests that cases from remote problem domains should lead to more novel solutions, loading the CBR system only with cases closely related to the problem domain proved more effective than remote cases only. Finally, loading the CBR system with a larger set of diverse cases was found to positively influence the creativity of the solutions. These findings have the following implications for CSSs and creative cognition theory: (1) when considering the effectiveness of CSSs it is important to take into account the creative ability of the individual (i.e., "one size does not fit all"), (2) making a sufficiently large and diverse set of cases available is better for stimulating creativity, and (3) providing cases that are too remote may be counterproductive. On a practical note, organizations seeking to redesign their division of labor between individuals and machines can easily follow the CBR approach presented here using their own set of cases.

[1]  Janet L. Kolodner,et al.  Case-Based Reasoning , 1989, IJCAI 1989.

[2]  Brenda Massetti,et al.  An Empirical Examination of the Value of Creativity Support Systems on Idea Generation , 1996, MIS Q..

[3]  Jörg Becker,et al.  The Concept of Creativity in the Information Systems Discipline: Past, Present, and Prospects , 2010, Commun. Assoc. Inf. Syst..

[4]  Alan Toop,et al.  European sales promotion : great campaigns in action , 1992 .

[5]  Monica J. Garfield,et al.  The Creative Process: The Effects of Group Memory on Individual Idea Generation , 1999, J. Manag. Inf. Syst..

[6]  Agnar Aamodt,et al.  Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches , 1994, AI Commun..

[7]  Matthijs Baas,et al.  Hedonic tone and activation level in the mood-creativity link: toward a dual pathway to creativity model. , 2008, Journal of personality and social psychology.

[8]  S. Koslow,et al.  Why and how do creative thinking techniques work?: Trading off originality and appropriateness to make more creative advertising , 2009 .

[9]  William Remus,et al.  Graduate students as surrogates for managers in experiments on business decision making , 1986 .

[10]  Herbert A. Simon.  Two Heads Are Better than One: The Collaboration between AI and OR , 1987 .

[11]  Robert O. Briggs,et al.  Causal Relationships in Creative Problem Solving: Comparing Facilitation Interventions for Ideation , 2004, J. Manag. Inf. Syst..

[12]  Patrick Y. K. Chau,et al.  Does knowledge reuse make a creative person more creative? , 2008, Decis. Support Syst..

[13]  James M. LeBreton,et al.  Answers to 20 Questions About Interrater Reliability and Interrater Agreement , 2008 .

[14]  Oliver Gassmann,et al.  Opening Up the Solution Space: The Role of Analogical Thinking for Breakthrough Product Innovation , 2008 .

[15]  Bo T. Christensen,et al.  The relationship of analogical distance to analogical function and preinventive structure: the case of engineering design , 2007, Memory & cognition.

[16]  Vladimir Zwass,et al.  Actualizing Organizational Memory with Information Systems , 1995, Inf. Syst. Res..

[17]  Adrian David Cheok,et al.  What is Creativity? Emergent Phenomena in Complex Adaptive Systems , 2020 .

[18]  J. Daniel Couger,et al.  (Un)Structured Creativity in Information Systems Organizations , 1993, MIS Q..

[19]  R J Sternberg,et al.  Creativity for the new millennium. , 2001, The American psychologist.

[20]  Janet L. Kolodner,et al.  Paying Attention to the Right Thing: Issues of Focus in Case-Based Creative Design , 1993 .

[21]  Joyce J. Elam,et al.  Can Software Influence Creativity? , 1990, Inf. Syst. Res..

[22]  Andrés Gómez de Silva Garza,et al.  Case-Based Reasoning in Design , 1995, IEEE Expert.

[23]  Steven M. Smith,et al.  Creative Cognition: Theory, Research, and Applications , 1996 .

[24]  Robert D. Austin,et al.  Accidental Innovation: Supporting Valuable Unpredictability in the Creative Process , 2012, Organ. Sci..

[25]  R. Sternberg.  The Nature of creativity : contemporary psychological perspectives , 1988 .

[26]  Ben Shneiderman,et al.  Creativity support tools: accelerating discovery and innovation , 2007, CACM.

[27]  Thomas Lee Rodgers,et al.  Identifying Quality, Novel, and Creative Ideas: Constructs and Scales for Idea Evaluation , 2006, J. Assoc. Inf. Syst..

[28]  Monica J. Garfield,et al.  Creativity Support Systems , 2008 .

[29]  Jennifer Gregan-Paxton,et al.  How do investors make predictions? Insights from analogical reasoning research , 2000 .

[30]  M. Diehl,et al.  Productivity loss in brainstorming groups: Toward the solution of a riddle. , 1987 .

[31]  B. Hennessey.  The Social Psychology of Creativity , 2003, Encyclopedia of Creativity, Invention, Innovation and Entrepreneurship.

[32]  Robert C. Blattberg,et al.  Sales Promotion: Concepts, Methods, and Strategies , 1990 .

[33]  R. Cattell,et al.  Handbook for the sixteen personality factor questionnaire (16 PF) , 1970 .

[34]  Ricky W. Griffin,et al.  Toward a Theory of Organizational Creativity , 1993 .

[35]  Christopher K. Riesbeck,et al.  Inside Case-Based Reasoning , 1989 .

[36]  Izak Benbasat,et al.  An Experimental Evaluation of Graphical and Color-Enhanced Information Presentation , 1985 .

[37]  S. Ian Robertson,et al.  Problem-solving , 2001, Human Thinking.

[38]  K. Holyoak,et al.  Analogical problem solving , 1980, Cognitive Psychology.

[39]  Karen O'Quin,et al.  Analyzing Creative Products: Refinement and Test of a Judging Instrument , 1986 .

[40]  M. Lorenzen.  Creativity in context : Content, cost, chance and collection in the organization of the film industry , 2009 .

[41]  Sharon Bailin.  CREATIVITY IN CONTEXT , 2002 .

[42]  Gerrit van Bruggen,et al.  DSS Effectiveness in Marketing Resource Allocation Decisions: Reality vs. Perception , 2004, Inf. Syst. Res..

[43]  Christian Wagner,et al.  Stimulating ideas through creativity software , 1994 .

[44]  Anne S. Miner,et al.  The Impact of Organizational Memory on New Product Performance and Creativity , 1997 .

[45]  C. Shalley,et al.  Effects of social-psychological factors on creative performance: the role of informational and controlling expected evaluation and modeling experience. , 2001, Organizational behavior and human decision processes.

[46]  Dedre Gentner,et al.  Structure-Mapping: A Theoretical Framework for Analogy , 1983, Cogn. Sci..

[47]  Matthew L. Jensen,et al.  Effects of Automated and Participative Decision Support in Computer-Aided Credibility Assessment , 2009, J. Manag. Inf. Syst..

[48]  T. B. Ward.  Cognition, Creativity, and Entrepreneurship , 2004 .

[49]  Dean Keith Simonton,et al.  Scientific creativity as constrained stochastic behavior: the integration of product, person, and process perspectives. , 2003, Psychological bulletin.

[50]  Yunjie Calvin Xu,et al.  Alternate Strategies for a Win-Win Seeking Agent in Agent-Human Negotiations , 2012, J. Manag. Inf. Syst..

[51]  K. Atuahene–Gima,et al.  Market Knowledge Dimensions and Cross-Functional Collaboration: Examining the Different Routes to Product Innovation Performance , 2007 .

[52]  Olivia R. Liu Sheng,et al.  A Data-Driven Approach to Measure Web Site Navigability , 2012, J. Manag. Inf. Syst..

[53]  Heeseok Lee,et al.  Knowledge Management Enablers, Processes, and Organizational Performance: An Integrative View and Empirical Examination , 2003, J. Manag. Inf. Syst..

[54]  B. Nijstad,et al.  Relative accessibility of domain knowledge and creativity: The effects of knowledge activation on the quantity and originality of generated ideas , 2007 .

[55]  Efraim Turban,et al.  Guest editor's note: Case-based reasoning and its applications , 1993 .

[56]  Giovanni Gavetti,et al.  How strategists really think. Tapping the power of analogy. , 2005, Harvard business review.

[57]  D. Dahl,et al.  The Influence and Value of Analogical Thinking during New Product Ideation , 2002 .

[58]  U. Fink,et al.  The Market Situation , 2004 .

[59]  Berend Wierenga,et al.  The Validity of Two Brief Measures of Creative Ability , 2010 .

[60]  Monica J. Garfield,et al.  Modifying Paradigms: Individual Differences, Creativity Techniques and Exposure to Ideas in Group Idea Generation , 2000, Inf. Syst. Res..

[61]  J. Plucker,et al.  Handbook of Creativity: Psychometric Approaches to the Study of Human Creativity , 1998 .

[62]  Gerrit van Bruggen,et al.  Improving Decision Making by Means of a Marketing Decision Support System , 1998 .

[63]  David K. Goldstein,et al.  Product managers' use of scanner data : a story of organizational learning , 1993 .

[64]  Allen Newell,et al.  Human Problem Solving. , 1973 .

[65]  Ephraim R. McLean,et al.  Expertise Integration and Creativity in Information Systems Development , 2005, J. Manag. Inf. Syst..

[66]  Amitava Chattopadhyay,et al.  Facilitating and Rewarding Creativity during New Product Development , 2011 .

[67]  L. James,et al.  Estimating within-group interrater reliability with and without response bias. , 1984 .

[68]  Ashok K. Goel.  Design, Analogy, and Creativity , 1997, IEEE Expert.

[69]  Larry E. Toothaker,et al.  Multiple Regression: Testing and Interpreting Interactions , 1991 .

[70]  Xiaoyang Sean Wang,et al.  Supporting Agile Organizations with a Decision Guidance Query Language , 2012, J. Manag. Inf. Syst..

[71]  Jay F. Nunamaker,et al.  An Examination of the Impact of Stimuli Type and GSS Structure on Creativity: Brainstorming Versus Non-Brainstorming Techniques in a GSS Environment , 2002, J. Manag. Inf. Syst..

[72]  Stefan Seidel,et al.  Leaving the Beaten Tracks in Creative Work - A Design Theory for Systems that Support Convergent and Divergent Thinking , 2011, J. Assoc. Inf. Syst..

[73]  T. B. Ward.  Structured Imagination: the Role of Category Structure in Exemplar Generation , 1994, Cognitive Psychology.

[74]  J. Valacich,et al.  Effects of anonymity and evaluative tone on idea generation in computer-mediated groups , 1990 .

[75]  Starr Roxanne Hiltz,et al.  An Assessment of Group Support Systems Experimental Research: Methodology and Results , 1998, J. Manag. Inf. Syst..

[76]  Helmut Lamm,et al.  Group versus individual performance on tasks requiring ideational proficiency , 1973 .

[77]  Niek Althuizen,et al.  The relative performance of different methods for selecting creative marketing personnel , 2012 .