K(OIM) - A New Model of Creativity Based on the Concept of Knowledge Clusters

Atul Sen

doi:doi:10.11648/j.ajmse.20230803.11

| Peer-Reviewed

K(OIM) - A New Model of Creativity Based on the Concept of Knowledge Clusters

Atul Sen

Published in American Journal of Management Science and Engineering (Volume 8, Issue 3)

Received: 30 March 2023 Accepted: 19 April 2023 Published: 10 May 2023

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

The World Economic Forum states that by 2025, the top five skills employers will be looking for are innovation, complex problem-solving, critical thinking, creativity, and originality. Looking at these qualities closely, one can argue that all these skills are somehow related to creativity itself. However, despite a myriad of publications, there are many myths and misconceptions about creativity. To date, there is no unique model that can assimilate all different views on creativity. The present work is an attempt to empirically create a new model of creativity called the “K(OIM) Model of Creativity". The concept of Knowledge Clusters, proposed by the author in his earlier work, is at the center of the K(OIM) model of creativity. The proposed creativity model is based on the three simple cognitive processes; O-observation, I-imagination, and M-manifestation operating under the influence of K-knowledge clusters. The author suggests that the knowledge clusters corrupt an individual's observation, limit the imagination, and inhibit the manifestation process and that the crux of creativity lies in the individual’s ability to control these knowledge clusters. The greater the control over knowledge clusters, the better is the creativity of individuals. The author further suggests that the creative contribution happens in five ways based on different combinations of stock of knowledge and knowledge clusters. Based on this, the difference between scientific and technical creativity (which comes from implicit knowledge), artistic and literary creativity (which comes from social knowledge and the knowledge clusters) and managerial creativity (which comes from the ability to effectively control knowledge clusters) has been explained for the first time in this paper.

Published in	American Journal of Management Science and Engineering (Volume 8, Issue 3)
DOI	10.11648/j.ajmse.20230803.11
Page(s)	63-72
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2023. Published by Science Publishing Group

Keywords

Creativity, K(OIM) Model of Creativity, Knowledge, Social Knowledge, Knowledge Clusters

References

[1]	Freud, S. (1908/1959). Creative writers and daydreaming. In J. Strachey (ed.), Standard Edition of the Complete Psychological Works of Sigmund Freud, (1959), vol. 9, Hogarth Press, ISBN 978-0-415-87393-2.
[2]	Vernon, P. E. (1970) Ed. Creativity. Penguin Books, 625 Madison Avenue, New York 10022, U.S.A. https://www.gwern.net/docs/psychology/writing/1970-vernon-creativity.pdf
[3]	Kubie, L. S. (1958). Neurotic distortion of the creative process. University of Kansas Press.
[4]	Campbell, D. T. (1960). Blind variation and selective retention in creative thought as in other knowledge processes. Psychological Review, Vol. 67, pp. 380-400.
[5]	Simonton, D. K. (1988) Creativity, leadership, and chance, In Sternberg, RJ (ed.) The Nature of Creativity. Cambridge, England: Cambridge Univ. Press.
[6]	Barron, F. (1988). Putting creativity to work. In Sternberg, R. J. (ed.) The Nature of Creativity. Cambridge, England: Cambridge Univ. Press.
[7]	Sternberg, R. J., & Lubart, T. I. (1991). An investment theory of creativity and its development. Human Development, Vol. 34, No. 1, pp. 1–31.
[8]	Sternberg, R. J., & Lubart, T. I. (1995). Defying the Crowd. New York: Free Press. ISBN: 0-7432-3647-5.
[9]	Csikszentmihalyi, M. (1996). Creativity: Flow and the Psychology of Discovery and Invention. New York: Harper Perennial. ISBN 0-06-092820-4.
[10]	Csikszentmihalyi, M. (1999). Implications of a systems perspective for the study of creativity. In R. J. Sternberg (Ed.), Handbook of creativity ISBN 0 521 57285 1.
[11]	Cropley, Arthur J. (1999). Creativity and cognition: Producing effective novelty, Roeper Review, Vol. 21, No. 4, pp. 253-260.
[12]	Feldhusen, J. F. (1995). Creativity: A knowledge base, meta-cognitive skills, and personality factors. The Journal of Creative Behavior, Vol. 29, No. 4, pp. 255–268.
[13]	Runco, Mark A.; Albert, Robert, S. (2010). Creativity Research. In James C. Kaufman; Robert J. Sternberg (Eds.). The Cambridge Handbook of Creativity. Cambridge University Press. ISBN 978--521-73025-9.
[14]	Kaufman, J. C., & Glăveanu, V. P. (2021). An overview of creativity theories. In J. C. Kauffman, & R. J. Sternberg (Eds.), Creativity: An introduction (pp. 17-30). New York: Cambridge University Press. ISBN 9781108776721.
[15]	Alvesson, M. (1993). Organizations as Rhetoric: Knowledge-Intensive Firms and the Struggle with Ambiguity.” Journal of Management Studies, Vol. 30, pp. 997-1015.
[16]	Polanyi, M. (1975). Personal Knowledge. In Polanyi, M. and Prosch, H. (Eds.), Meaning, University of Chicago Press, Chicago, pp. 22-45.
[17]	Nonaka, I. & Takeuchi, H. (1995). The Knowledge-creating Company: How Japanese Companies Create the Dynamics of Innovation. Oxford University Press, New York. ISBN 0-19-509269-4.
[18]	Polanyi, M. (1966). The Tacit Dimension. Doubleday & Co, Garden City, NY.
[19]	Spender, J. C. (1996). Making knowledge the basis of a dynamic theory of the firm. Strategic Management Journal, Vol. 17, pp. 45-62.
[20]	Li, M. & Gao, F. (2003), “Why Nonaka highlights tacit knowledge: a critical review,” Journal of Knowledge Management, Vol. 7 No. 4, pp. 6-14.
[21]	Sen, Atul. (2021). Revisiting the concept of Knowledge. ASCI journal of Management. Vol. 50, No. 1, pp. 70-85.
[22]	Jonassen, D. H., Beissner, K., & Yacci, M. (1993). Structural knowledge: Techniques for representing, conveying, and acquiring structural knowledge. Hillsdale, NJ: LEA. Lawrence Erlbaum Associates.
[23]	Davis, M. A., Curtis, M. B., & Tschetter, J. D. (2003). Evaluating cognitive training outcomes: Validity and utility of structural knowledge assessment. Journal of Business and Psychology, 18 (2), 191–206.
[24]	Rata, E. (2012). The politics of knowledge in education. British Educational Research Journal, Vol. 38 No. 1, pp. 103-124.
[25]	Ruth, M. J. Byrne. (2007). The Relational Imagination: How people create alternatives to reality. Behavioral and brain sciences, Vol. 30, pp. 439–480.
[26]	Csikszentmihalyi, M. (1988). Society, culture, and person: A systems view of creativity. In R. J. Sternberg (Ed.), The nature of creativity (pp. 325–339). New York, Cambridge University Press ISBN 0521 33036X.
[27]	Kauffman, S. (2016). Humanity in the Creativity Universe. Oxford. Oxford University Press. ISBN 978-0-19-939045-8.
[28]	Dervsholli, A. (2019).” Platforms and echo systems: What is all the buzz about? Why does it matter?”
[29]	Kauffman, S (1993). “Origins of order: Self-organization and Selection in Evolution” Oxford, Oxford University Press.
[30]	Harrington, D. (1999). Conditions and Settings/ Environment. In: Runco, M. & Pritzke, R. (Eds.) Encyclopedia of Creativity, Vol. 1, pp. 323-340. Elsevier, Academic Press.
[31]	Valdez-de-Leon, O. (2019). How to develop a digital Echo system: A Practical Framework. Technology Innovation Management Review, Vol. 9, No. 8, pp. 43-54.
[32]	Harrington, D. (2011). Creative Environment, Conditions and Settings. In Runco, M. & Pritzke, R. (Eds.) Encyclopedia of Creativity, Vol. 2, No. 1, pp. 264-272. Elsevier, Academic Press.
[33]	Galateanu, E. & Avasical, S. (2017). Emerging Creative Echo system: platform development process. Fascicle of Management and Technological Engineering. Vol. 3, pp. 5-10.
[34]	Kaufman, J. C., Beghetto, Ronald. A. (2009). Beyond Big and Little: The Four C Model of Creativity. Review of General Psychology. Vol. 13, No. 1: pp. 1–12.
[35]	Martindale, C. (1 999). Biological bases of creativity. In R. J. Sternberg (Ed.), Handbook of creativity (pp. 137-1 52). New York: Cambridge University Press. ISBN 0-521-57285 1.
[36]	Adams, J. L. (1974). Conceptual blockbusting: A guide to better ideas. San Francisco: Freeman.
[37]	Oech, Roger Von. (1983), A whack on the side of the head: How to unlock your mind for Innovation Warner Books Incorporation.
[38]	Groth, John, C. & Peter John, (1999). What Blocks Creativity – A Manager Perspective. Creativity and Innovation Management, Vol. 8, No. 3, pp. 179-187.
[39]	Guilford, J. P. (1967). The Nature of Human Intelligence. Science, Vol. 162, No. 3857 A. McGraw-Hill, New York.
[40]	Maslow, A. H. (1967). A Theory of Meta-motivation: The Biological Rooting of the Value-Life. Journal of Humanistic Psychology, Vol. 7, No. 2, pp. 93–126.
[41]	Guilford, J. P. (1956). The structure of intellect. Psychological Bulletin, Vol. 53. No. 4, pp. 267–293.
[42]	Gabora, L. & Saab, A. (2011). Creative interference and states of potentiality in analogy problem solving. Proceedings of the Annual Meeting of the Cognitive Science Society. pp. 20–23, Boston MA.
[43]	Land, George. & Jarman, Beth. (1992). Breakpoint and Beyond: Mastering the Future Today. Harper collins Publishers, ISBN 978088730604.

Cite This Article

Plain Text BibTeX RIS

APA Style

Atul Sen. (2023). K(OIM) - A New Model of Creativity Based on the Concept of Knowledge Clusters. American Journal of Management Science and Engineering, 8(3), 63-72. https://doi.org/10.11648/j.ajmse.20230803.11

Copy | Download

ACS Style

Atul Sen. K(OIM) - A New Model of Creativity Based on the Concept of Knowledge Clusters. Am. J. Manag. Sci. Eng. 2023, 8(3), 63-72. doi: 10.11648/j.ajmse.20230803.11

Copy | Download

AMA Style

Atul Sen. K(OIM) - A New Model of Creativity Based on the Concept of Knowledge Clusters. Am J Manag Sci Eng. 2023;8(3):63-72. doi: 10.11648/j.ajmse.20230803.11

Copy | Download

@article{10.11648/j.ajmse.20230803.11,
  author = {Atul Sen},
  title = {K(OIM) - A New Model of Creativity Based on the Concept of Knowledge Clusters},
  journal = {American Journal of Management Science and Engineering},
  volume = {8},
  number = {3},
  pages = {63-72},
  doi = {10.11648/j.ajmse.20230803.11},
  url = {https://doi.org/10.11648/j.ajmse.20230803.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajmse.20230803.11},
  abstract = {The World Economic Forum states that by 2025, the top five skills employers will be looking for are innovation, complex problem-solving, critical thinking, creativity, and originality. Looking at these qualities closely, one can argue that all these skills are somehow related to creativity itself. However, despite a myriad of publications, there are many myths and misconceptions about creativity. To date, there is no unique model that can assimilate all different views on creativity. The present work is an attempt to empirically create a new model of creativity called the “K(OIM) Model of Creativity". The concept of Knowledge Clusters, proposed by the author in his earlier work, is at the center of the K(OIM) model of creativity. The proposed creativity model is based on the three simple cognitive processes; O-observation, I-imagination, and M-manifestation operating under the influence of K-knowledge clusters. The author suggests that the knowledge clusters corrupt an individual's observation, limit the imagination, and inhibit the manifestation process and that the crux of creativity lies in the individual’s ability to control these knowledge clusters. The greater the control over knowledge clusters, the better is the creativity of individuals. The author further suggests that the creative contribution happens in five ways based on different combinations of stock of knowledge and knowledge clusters. Based on this, the difference between scientific and technical creativity (which comes from implicit knowledge), artistic and literary creativity (which comes from social knowledge and the knowledge clusters) and managerial creativity (which comes from the ability to effectively control knowledge clusters) has been explained for the first time in this paper.},
 year = {2023}
}

Copy | Download

TY  - JOUR
T1  - K(OIM) - A New Model of Creativity Based on the Concept of Knowledge Clusters
AU  - Atul Sen
Y1  - 2023/05/10
PY  - 2023
N1  - https://doi.org/10.11648/j.ajmse.20230803.11
DO  - 10.11648/j.ajmse.20230803.11
T2  - American Journal of Management Science and Engineering
JF  - American Journal of Management Science and Engineering
JO  - American Journal of Management Science and Engineering
SP  - 63
EP  - 72
PB  - Science Publishing Group
SN  - 2575-1379
UR  - https://doi.org/10.11648/j.ajmse.20230803.11
AB  - The World Economic Forum states that by 2025, the top five skills employers will be looking for are innovation, complex problem-solving, critical thinking, creativity, and originality. Looking at these qualities closely, one can argue that all these skills are somehow related to creativity itself. However, despite a myriad of publications, there are many myths and misconceptions about creativity. To date, there is no unique model that can assimilate all different views on creativity. The present work is an attempt to empirically create a new model of creativity called the “K(OIM) Model of Creativity". The concept of Knowledge Clusters, proposed by the author in his earlier work, is at the center of the K(OIM) model of creativity. The proposed creativity model is based on the three simple cognitive processes; O-observation, I-imagination, and M-manifestation operating under the influence of K-knowledge clusters. The author suggests that the knowledge clusters corrupt an individual's observation, limit the imagination, and inhibit the manifestation process and that the crux of creativity lies in the individual’s ability to control these knowledge clusters. The greater the control over knowledge clusters, the better is the creativity of individuals. The author further suggests that the creative contribution happens in five ways based on different combinations of stock of knowledge and knowledge clusters. Based on this, the difference between scientific and technical creativity (which comes from implicit knowledge), artistic and literary creativity (which comes from social knowledge and the knowledge clusters) and managerial creativity (which comes from the ability to effectively control knowledge clusters) has been explained for the first time in this paper.
VL  - 8
IS  - 3
ER  -

Copy | Download

Author Information

Atul Sen

Defence Research and Development Laboratory, Ministry of Defence, Hyderabad, India

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Atul Sen. (2023). K(OIM) - A New Model of Creativity Based on the Concept of Knowledge Clusters. American Journal of Management Science and Engineering, 8(3), 63-72. https://doi.org/10.11648/j.ajmse.20230803.11

Copy | Download

ACS Style

Atul Sen. K(OIM) - A New Model of Creativity Based on the Concept of Knowledge Clusters. Am. J. Manag. Sci. Eng. 2023, 8(3), 63-72. doi: 10.11648/j.ajmse.20230803.11

Copy | Download

AMA Style

Atul Sen. K(OIM) - A New Model of Creativity Based on the Concept of Knowledge Clusters. Am J Manag Sci Eng. 2023;8(3):63-72. doi: 10.11648/j.ajmse.20230803.11

Copy | Download

@article{10.11648/j.ajmse.20230803.11,
  author = {Atul Sen},
  title = {K(OIM) - A New Model of Creativity Based on the Concept of Knowledge Clusters},
  journal = {American Journal of Management Science and Engineering},
  volume = {8},
  number = {3},
  pages = {63-72},
  doi = {10.11648/j.ajmse.20230803.11},
  url = {https://doi.org/10.11648/j.ajmse.20230803.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajmse.20230803.11},
  abstract = {The World Economic Forum states that by 2025, the top five skills employers will be looking for are innovation, complex problem-solving, critical thinking, creativity, and originality. Looking at these qualities closely, one can argue that all these skills are somehow related to creativity itself. However, despite a myriad of publications, there are many myths and misconceptions about creativity. To date, there is no unique model that can assimilate all different views on creativity. The present work is an attempt to empirically create a new model of creativity called the “K(OIM) Model of Creativity". The concept of Knowledge Clusters, proposed by the author in his earlier work, is at the center of the K(OIM) model of creativity. The proposed creativity model is based on the three simple cognitive processes; O-observation, I-imagination, and M-manifestation operating under the influence of K-knowledge clusters. The author suggests that the knowledge clusters corrupt an individual's observation, limit the imagination, and inhibit the manifestation process and that the crux of creativity lies in the individual’s ability to control these knowledge clusters. The greater the control over knowledge clusters, the better is the creativity of individuals. The author further suggests that the creative contribution happens in five ways based on different combinations of stock of knowledge and knowledge clusters. Based on this, the difference between scientific and technical creativity (which comes from implicit knowledge), artistic and literary creativity (which comes from social knowledge and the knowledge clusters) and managerial creativity (which comes from the ability to effectively control knowledge clusters) has been explained for the first time in this paper.},
 year = {2023}
}

Copy | Download

TY  - JOUR
T1  - K(OIM) - A New Model of Creativity Based on the Concept of Knowledge Clusters
AU  - Atul Sen
Y1  - 2023/05/10
PY  - 2023
N1  - https://doi.org/10.11648/j.ajmse.20230803.11
DO  - 10.11648/j.ajmse.20230803.11
T2  - American Journal of Management Science and Engineering
JF  - American Journal of Management Science and Engineering
JO  - American Journal of Management Science and Engineering
SP  - 63
EP  - 72
PB  - Science Publishing Group
SN  - 2575-1379
UR  - https://doi.org/10.11648/j.ajmse.20230803.11
AB  - The World Economic Forum states that by 2025, the top five skills employers will be looking for are innovation, complex problem-solving, critical thinking, creativity, and originality. Looking at these qualities closely, one can argue that all these skills are somehow related to creativity itself. However, despite a myriad of publications, there are many myths and misconceptions about creativity. To date, there is no unique model that can assimilate all different views on creativity. The present work is an attempt to empirically create a new model of creativity called the “K(OIM) Model of Creativity". The concept of Knowledge Clusters, proposed by the author in his earlier work, is at the center of the K(OIM) model of creativity. The proposed creativity model is based on the three simple cognitive processes; O-observation, I-imagination, and M-manifestation operating under the influence of K-knowledge clusters. The author suggests that the knowledge clusters corrupt an individual's observation, limit the imagination, and inhibit the manifestation process and that the crux of creativity lies in the individual’s ability to control these knowledge clusters. The greater the control over knowledge clusters, the better is the creativity of individuals. The author further suggests that the creative contribution happens in five ways based on different combinations of stock of knowledge and knowledge clusters. Based on this, the difference between scientific and technical creativity (which comes from implicit knowledge), artistic and literary creativity (which comes from social knowledge and the knowledge clusters) and managerial creativity (which comes from the ability to effectively control knowledge clusters) has been explained for the first time in this paper.
VL  - 8
IS  - 3
ER  -

Copy | Download