Exploring Knowledge Entropy in Organizations
Abstract
The purpose of this paper is to explore the knowledge entropy processes within organizations and how they are reflected in the knowledge management and organizational intellectual capital. Entropy is a very powerful concept, which can be found today in almost any branch of science and technology. It was introduced by Rudolf Clausius in 1865 in Thermodynamics, then used in the communication theory by Claude Shannon, and expanded by Nicholas Georgescu-Roegen in economics. However, dues to its extensive use in so many different research domains, the concept of entropy became fuzzy and sometimes misleading in applications. Also, its statistical formulations based on the Boltzmann theory made the entropy understanding rather difficult and its interpretations on the edge of coherence. Knowledge entropy is an extension of information entropy and used within the framework of knowledge management. Our conceptual analysis aims to shed light on the appropriate use of knowledge entropy and its potential in knowledge management research and practice. Since knowledge entropy is associated to all transformational processes in knowledge creation, knowledge sharing, knowledge acquisition, and knowledge loss, we may say that knowledge management can be interpreted as the process of managing knowledge entropy within organizations.References
Atkins, P. (2010). The laws of thermodynamics: a very short introduction. Oxford, UK: Oxford University Press.
Bar-Hillel, Y., & Carnap, R. (1953). Semantic information. The British Journal for the Philosophy of Science, 4(14), 147-157. doi: 10.1093/bjps/IV.14.147.
Basurdo-Flores, R., Guzman-Vargas, L., Velasco, S., Medina, A., & Calvo Hernandez, A. (2018). On entropy research analysis: cross-disciplinary knowledge transfer. Scientometrics, 117(1), 123-139. doi: 10.1007/s11192-018-2860-1.
Ben-Naim, A. (2012). Entropy and the second law: interpretations and miss-interpretations. London, UK: World Scientific.
Bratianu, C. (2011). A new perspective of the intellectual capital dynamics in organizations. In Vallejo-Alonso, B., Rodriguez-Castellanos, A., & Arregui- Ayastuy, G. (Eds.), Identifying, measuring, and valuing knowledge-based intangible assets: new perspectives (pp.1-21). Hershey, PA: IGI Global.
Bratianu, C. (2013). Nonlinear integrators of the organizational intellectual capital. In Fathi, M. (Ed.), Integration of practice-oriented knowledge technology: trends and perspectives (pp.3-17). Heidelberg, Germany: Springer.
Bratianu, C. (2015). Developing strategic thinking in business education. Management Dynamics in the Knowledge Economy, 3(3), 409-429.
Bratianu, C., & Anagonoste, S. (2011). The role of transformational leadership in mergers and acquisitions in emergent economies. Management & Marketing, 6(2), 319-326.
Bratianu, C., & Bejinaru, R. (2017). Knowledge strategies for increasing IC of the universities. In Lopez, I.T., & Serrasqueiro, R. (Eds.), Proceedings of the 9th European C onference on Intellectual Capital (pp.34-41). Reading, UK: Academic Conferences and Publishing International.
Bratianu, C., & Bejinaru, R. (2019). The theory of knowledge fields: a thermodynamic approach. Systems, 7(2), 20. doi: 10.3390/systems7020020.
Bratianu, C., & Vasilache, S. (2010). A factorial analysis of the managerial linear thinking model. International Journal of Innovation and Learning, 8(4), 393-407.
Bratianu, C., Vasilache, S., & Jianu, I. (2006). In search of intelligent organizations. Management and Marketing, 1(4), 71-82.
Bratianu, C., Agapie, A., Orzea, I., & Agoston, S. (2011). Intergenerational learning dynamics in universities. Electronic Journal of Knowledge Management, 9(1), 10-18.
Caraiani, P. (2018). Modeling the comovement of entropy between financial markets. Entropy, 20(6), 417. doi: 10.3390/e20060417.
Chalidze, V. (2000). Entropy demystified: potential order, life and money. Portland, OR: Universal Publishing.
Chen, J. (2018). An entropy theory of value. Structural Change and Economic Dynamics, 47(C), 73-81. doi: 10.1016/j.strueco.2018.07.008.
Child, J. (2005). Organization: contemporary principles and practice. Oxford, UK: Blackwell Publishing.
Cyr, S., & Choo, C.W. (2010). The individual and social dynamics of knowledge sharing: an exploratory study. The Journal of Documentation, 66(6), 824-846. doi: 10.1108/00220411011087832.
Dvenport, T.H., & Prusak, L. (2000). Working knowledge: how organizations manage what they know. Boston, MA: Harvard Business School Press.
Floridi, L. (2005). Is semantic information meaningful data? Philosophy and Phenomenological Research, 70(2), 351-370. doi: 10.1111/j.1933-1592.2005.tb00531.x.
Floridi, L. (2012). Semantic information and the network theory of account. Synthese, 184(3), 431-454. doi: 10.1007/s11229-010-9821-4.
Floridi, L. (2013). The philosophy of information. Oxford, UK: Oxford University Press.
Georgescu-Roege n, N. (1999). The entropy law and the economic process. Cambridge, MA: Harvard University Press.
Handscombe, R.D., & Patterson, E.A. (2004). The entropy vector: connecting science and business. London, UK: World Scientific.
Hartley, R.V.L. (1928). Transmission of information. Bell System Technical Journal, 7, 535-563.
Hatch, M.J. (1997). Organization theory: modern, symbolic, and postmodern perspectives. Oxford, UK: Oxford University Press.
Kovalev, A.V. (2016). Misuse of thermodynamic entropy in economics. Energy, 100,
-136. doi: 10.1016/j.energy.2016.01.071.
Lefter, V., Bratianu, C., Agapie, A., Agoston, S., & Orzea, I. (2011). Intergenerational
knowledge transfer in the academic environment of the knowledge-based
economy. Amfiteatru Economic Journal, 13(30), 392-403.
Leistner, F. (2010). Mastering organizational flow: how to make knowledge sharing
work. New York, NY: John Wiley & Sons.
Morgan, G. (1997). Images of organization. 2nd Edition. London, UK: SAGE Publications.
Nonaka, I. (1994). A dynamic theory of organizational knowledge creation.
Organizational Science, 5(1), 14-37.
Nonaka, I., & Take uchi, H. (1995). The knowledge-creating company: how Japanese
companies create the dynamics of innovation. Oxford, UK: Oxford University Press.
Nonaka, I., Toyama, R., & Hirata, T. (2008). Managing flow: a process theory of the
knowledge-based firm. Houndmills, UK: Palgrave Macmillan.
Nonka, I., Kodama, M., Hirose, A., & Kohlbacher, F. (2014). Dynamic fractal
organizations for promoting knowledge-based transformation – a new
paradigm for organizational theory. European Management Journal, 32(1), 137-146. doi: 10.1016/j.emj.2013.02.003
O’Dell, C., & Hubert, C. (2011). The new edge of knowledge: how knowledge
management is changing the way we do business. New York, NY: John Wiley &
Sons.
Shannon, C.E. (1948). A mathematical theory of communication. Bell System Technical
Journal, 27(3), 379-423. doi: 10.1002/j.1538-7305.1948.tb01338.x.
Shannon, C.E., & Weaver, W. (1949). The mathematical theory of communication.
Champaign, IL: University of Illinois Press.
Simon, H.A. (1996). The science of the artificial. 3rd Edition. Cambridge, MA: The MIT
Press.
Szulansky, G. (2000). The process of knowledge transfer: a diachronic analysis of
stickiness. Organizational Behavior and Human Decision Process, 82(1), 9-27. doi: 10.1006/obhd.2000.2884.
Szulansky, G., & Jensen, R. (2004). Overcoming stickiness: an empirical investigation
of the role of the template in the replication of organizational routines.
Managerial and Decision Economics, 25(67), 347-363. doi: 10.1002/mde.1195.
Taylor, F.W. (1998). The principles of scientific management. Mineola, NY: Dover
Publications.
Wenger, E. (1998). Communities of practice: learning, meaning, and identity.
Cambridge, UK: Cambridge University Press.
Wenger, E., McDermott, R., & Snyder, W.M. (2002). A guide to managing knowledge:
cultivating communities of practice. Boston, MA: Harvard Business School
Press.
Yonghi, L., Wu, C., Luo, P., & Zhang, W. (2013). Exploring the characteristics of
innovation adoption in social networks: structure, homophily, and strategy.
Entropy, 15(7), 2662-2678. doi: 10.3390/e15072662.
Zhou, R., Cai, R., & Tong, G. (2013). Applications of entropy in finance: a review.
Entro py, 15(11), 4909-4931. doi: 10.3390/e15114909.
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