The Role of Scientific Terminology and Metaphors in Management Education
Abstract:Interdisciplinary studies can create synergy across various fields, allowing for knowledge in a previously specialized area to support other disciplines. A number of scientific theories and laws have been applied in other domains to explain the latter’s phenomenon; the adaptation of Newton’s Gravitational Law for studies of bilateral trade, diplomatic ties, migration and interaction, or the extension of Chaos Theory to biological evolution, engineering, and organizational management. Recent literature in management studies have also used scientific theories as metaphors to describe management functions and managerial behaviours. Similarly, one can apply Moore’s Law to understand the exponential world. Changes are no longer linear and predictable, and the past is no longer a proxy for the future. This paper suggests that the renowed and established theories of General Relativity, Quantum Physics, the Newtonian Paradigm, Theory of Chaos, and the Standard Model have the potential to operate as extensions or metaphors to explain some aspects of strategic management. These scientific theories, and the implications of their respective terminologies, can therefore help firms better appreciate strategies and organizational designs that combat complexities of business environments, especially those in international markets. Their use will also help managers with a background in science understand various phenomena with augmented interest and clarity, thereby improving the learning experience and depth of understanding for both professionals and management students alike.
Apr 30, 2019
How to Cite
CHANG, Luke Peh Lu; TOOR, Shamas ur Rehman; JONATHAN, Leong Y.. The Role of Scientific Terminology and Metaphors in Management Education. European Journal of Social Science Education and Research, [S.l.], v. 6, n. 1, p. 33-43, apr. 2019. ISSN 2312-8429. Available at: <http://journals.euser.org/index.php/ejser/article/view/ejser-2019.v6i1-535>. Date accessed: 18 nov. 2019. doi: http://dx.doi.org/10.26417/ejser.v6i1.p33-43.
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