Good-Bye Dodo Bird (Raphus cucullatus)

Social, organizational, and managerial knowledge regarding human interactions develops incrementally in a cumulative-expansive manner. This article lists seven reasons why. A primary reason is that unlike biological organisms, social knowledge that is rejected becomes knowledge in disuse and is not extinct. It remains in the knowledge pool and may reappear at a later date and under different conditions. Social knowledge is not evolutionary, as claimed by evolutionary epistemologists. Because social knowledge is generated from unique social phenomena, it expands and accumulates by a process of selection and classification that differs considerably from biological evolution. Implications for research in organizations and management issues are listed, particularly with regard to the selection of theories in these areas.

[1]  R. Brodie Virus of the Mind: The New Science of the Meme , 1995 .

[2]  T. Cook,et al.  Quasi-experimentation: Design & analysis issues for field settings , 1979 .

[3]  Eliezer Geisler The Metrics of Science and Technology , 2000 .

[4]  Ivana Marková,et al.  Towards an Epistemology of Social Representations , 1996 .

[5]  Eliezer Geisler,et al.  Harnessing the value of experience in the knowledge-driven firm , 1999 .

[6]  D. Leonard-Barton,et al.  Wellsprings of Knowledge: Building and Sustaining the Sources of Innovation , 1995 .

[7]  J. Desmond,et al.  Making memories: brain activity that predicts how well visual experience will be remembered. , 1998, Science.

[8]  R. Dawkins Climbing Mount Improbable , 1996 .

[9]  T. Kuhn The structure of scientific revolutions, 3rd ed. , 1996 .

[10]  Donald T. Campbell,et al.  Unresolved Issues in Measurement Validity: An Autobiographical Overview. , 1996 .

[11]  Bill McKelvey,et al.  Variations in Organization Science: In Honor of Donald T Campbell , 1999 .

[12]  D. Campbell,et al.  Evolutionary Epistemology Bibliography , 1987 .

[13]  S. Ghoshal,et al.  Social Capital, Intellectual Capital, and the Organizational Advantage , 1998 .

[14]  Ronald N. Kostoff,et al.  Strategic Management and Implementation of Textual Data Mining in Government Organizations , 1999 .

[15]  W. W. Bartley,et al.  Evolutionary Epistemology, Rationality, and the Sociology of Knowledge , 1987 .

[16]  W. Heisenberg,et al.  Physics and Philosophy , 1943, Nature.

[17]  J. Weiner The Beak of the Finch: A Story of Evolution in Our Time , 1994 .

[18]  E. Wilson Consilience: The Unity of Knowledge , 1998 .

[19]  David Quammen,et al.  The Song of the Dodo: Island Biogeography in an Age of Extinctions , 1998 .

[20]  D. Teece,et al.  The Dynamic Capabilities of Firms: an Introduction , 1994 .

[21]  I. Nonaka,et al.  How Japanese Companies Create the Dynamics of Innovation , 1995 .

[22]  M. Velmans Common sense, functional theories and knowledge of the mind , 1993, Behavioral and Brain Sciences.

[23]  Joel A. C. Baum,et al.  Evolutionary dynamics of organizations , 1996 .

[24]  Chris Argyris,et al.  Inner Contradictions of Rigorous Research. , 1984 .

[25]  A. Dale,et al.  Building memories: remembering and forgetting of verbal experiences as predicted by brain activity. , 1998, Science.

[26]  Morris Kline Mathematics and the Search for Knowledge , 1985 .

[27]  Borok Ls Data mining: sophisticated forms of managed care modeling through artificial intelligence. , 1997 .

[28]  David L. Hull,et al.  Science as a Process: An Evolutionary Account of the Social and Conceptual Development of Science, David L. Hull. 1988. The University of Chicago Press, Chicago, IL. 608 pages. ISBN: 0-226-35060-4. $39.95 , 1989 .

[29]  T. Kuhn,et al.  The Structure of Scientific Revolutions. , 1964 .

[30]  K. Popper,et al.  Conjectures and Refutations , 1963 .

[31]  Constance E. Helfat,et al.  Know-how and asset complementarity and dynamic capability accumulation : The case of R&D , 1997 .

[32]  C. Barlow,et al.  From Gaia to selfish genes : selected writings in the life sciences , 1991 .

[33]  H. Birx,et al.  The Mismeasure of Man , 1981 .