Effectivity of Organizational Cognitive Neuroscience on Managerial Decision-Making: A Review of Recent Literature and Future Directions
DOI:
https://doi.org/10.47941/ajss.1436Keywords:
Neuroscience. Business ethics, Organizational Cognitive neuroscience, Decision MakingAbstract
Purpose: This article offers a methodology for evaluating OCN research by academics, stressing possible theoretical advances and putting an emphasis on empirical studies for theoretical understanding.
Methodology: The current scope of OCN was examined utilizing a systematic evaluation technique, which indicated three separate groupings of operations in economics, marketing, and organizational behavior.
Findings: Organizational behavior is an oddity since it has more empirical studies. As suggested, the field’s many studies approach account for this largely. All three groups contribute to our understanding of how living things make decisions.
Unique Contribution to Theory, Policy and Practice: As per this article, OCN research has bestowed a considerable understanding of the limitations of human freedom in multiple fields and the role of autonomy in shaping work. In addition to the topics proposed by the authors of the examined publications, it also emphasizes newer areas of investigation.
Downloads
References
Apicella, C., Dreber, A., Campbell, B., Gray, P., Hoffman, M., & Little, A. (2008). Testosterone and financial risk preferences. Evolution and Human Behavior, 29(6), 384–390. https://doi.org/10.1016/j.evolhumbehav.2008.07.001
Bakalash, T., & Riemer, H. (2013). Exploring Ad-Elicited Emotional Arousal and Memory for the Ad Using fMRI. Journal of Advertising, 42(4), 275–291. https://doi.org/10.1080/00913367.2013.768065
Balthazard, P. A., Waldman, D. A., Thatcher, R. W., & Hannah, S. T. (2012). Differentiating transformational and non-transformational leaders based on neurological imaging. The Leadership Quarterly, 23(2), 244–258. https://doi.org/10.1016/j.leaqua.2011.08.002
Becker, W. J., Cropanzano, R., & Sanfey, A. G. (2011). Organisational Neuroscience: Taking Organisational Theory Inside the Neural Black Box. Journal of Management, 37(4), 933–961. https://doi.org/10.1177/0149206311398955
Boyatzis, R. E., Passarelli, A. M., Koenig, K., Lowe, M., Mathew, B., Stoller, J. K., & Phillips, M. (2012). Examination of the neural substrates activated in memories of experiences with resonant and dissonant leaders. The Leadership Quarterly, 23(2), 259–272. https://doi.org/10.1016/j.leaqua.2011.08.003
Brain scam? Nat Neurosci 7, 683 (2004). https://doi.org/10.1038/nn0704-683
Coates, J. M., & Herbert, J. (2008). Endogenous steroids and financial risk-taking on a London trading floor. Proceedings of the National Academy of Sciences, 105(16), 6167–6172. https://doi.org/10.1073/pnas.0704025105
Coates, J. M., Gurnell, M., & Rustichini, A. (2009). Second-to-fourth digit ratio predicts success among high-frequency financial traders. Proceedings of the National Academy of Sciences, 106(2), 623–628. https://doi.org/10.1073/pnas.0810907106
Dimoka. (2010). What Does the Brain Tell Us About Trust and Distrust? Evidence from a Functional Neuroimaging Study. MIS Quarterly, 34(2), 373. https://doi.org/10.2307/20721433
Esch, F. R., Möll, T., Schmitt, B., Elger, C. E., Neuhaus, C., & Weber, B. (2012). Brands on the brain: Do consumers use declarative information or experienced emotions to evaluate brands? Journal of Consumer Psychology, 22(1), 75–85. https://doi.org/10.1016/j.jcps.2010.08.004
Foxall, G.R. (2014). Cognitive requirements of competing neuro-behavioural decision systems: some implications of the temporal horizon for organisational, managerial behaviour. Frontiers in Human Neuroscience, doi: 10.3389/ fnhum.2014.00184. (n.d.). Retrieved December 11, 2022, from
Hannah, S. T., Balthazard, P. A., Waldman, D. A., Jennings, P. L., & Thatcher, R. W. (2013). The psychological and neurological bases of leader self-complexity and effects on adaptive decision-making. Journal of Applied Psychology, 98(3), 393–411. https://doi.org/10.1037/a0032257
Healey, M. P., & Hodgkinson, G. P. (2014). Rethinking organisational neuroscience’s philosophical and theoretical foundations: A critical realist alternative. Human Relations, 67(7), 765–792. https://doi.org/10.1177/0018726714530014
Knutson, B., Bhanji, J. P., Cooney, R. E., Atlas, L. Y., & Gotlib, I. H. (2008). Neural Responses to Monetary Incentives in Major Depression. Biological Psychiatry, 63(7), 686–692. https://doi.org/10.1016/j.biopsych.2007.07.023
Laureiro-Martinez, D., Canessa, N., Brusoni, S., Zollo, M., Hare,T.,Alemanno,F.andCappa,S.F.(2014).Frontopolar cortex and decision-making efficiency: comparing brain activity of experts with different professional backgrounds during an exploration-exploitation task. Frontiers in Human Neuroscience, doi: 10.3389/fnhum.2013.00927. (n.d.). Retrieved December 11, 2022, from
Lee, N., Senior, C., & Butler, M. J. R. (2012). The Domain of Organizational Cognitive Neuroscience. Journal of Management, 38(4), 921–931. https://doi.org/10.1177/0149206312439471
Lindebaum, D., & Zundel, M. (2013). Not quite a revolution: Scrutinising organisational neuroscience in leadership studies. Human Relations, 66(6), 857–877. https://doi.org/10.1177/0018726713482151
Mason, M.F., Dyer, R. and Norton, M.I. (2009). Neural mechanisms of social influence. Organizational Behavior and Human Decision Processes, 110, pp. 152–159.
McLagan, P.A. (2013). A call to watch our paradigms! Journal of Management Inquiry, 22, pp. 314–316.
Plassmann, H.,O’Doherty,J.,Shiv,B.andRangel,A.(2008). Marketing actions can modulate neural representations of experienced pleasantness. Proceedings of the National Academy of Sciences of the United States of America, 105, pp. 1050–1054.
Powell, T. C. (2011). Neurostrategy. Strategic Management Journal, 32(13), 1484–1499. https://doi.org/10.1002/smj.969
Pynta, P., Seixas, S. A. S., Nield, G. E., Hier, J., Millward, E., & Silberstein, R. B. (2014). The Power of Social Television: Can Social Media Build Viewer Engagement? Journal of Advertising Research, 54(1), 71–80. https://doi.org/10.2501/jar-54-1-071-080
Ravaja, N., Somervuori, O., & Salminen, M. (2013). Predicting purchase decision: The role of hemispheric asymmetry over the frontal cortex. Journal of Neuroscience, Psychology, and Economics, 6(1), 1–13. https://doi.org/10.1037/a0029949
Rippon, G., & Senior, C. (2010). Neuroscience Has No Role in National Security. AJOB Neuroscience, 1(2), 37–38. https://doi.org/10.1080/21507741003699322
Saad, G., & Vongas, J. G. (2009). The effect of conspicuous consumption on men’s testosterone levels. Organisational Behavior and Human Decision Processes, 110(2), 80–92. https://doi.org/10.1016/j.obhdp.2009.06.001
Schaefer, M., & Rotte, M. (2007). Favourite brands as cultural objects modulate reward circuit. Neuro -report, 18(2), 141–145. https://doi.org/10.1097/wnr.0b013e328010ac84
Senior, C., Lee, N., & Butler, M. (2011). PERSPECTIVE—Organisational Cognitive Neuroscience. Organization Science, 22(3), 804–815. https://doi.org/10.1287/orsc.1100.0532
Spisak, B. R., Homan, A. C., Grabo, A., & Van Vugt, M. (2012). Facing the situation: Testing a biosocial contingency model of leadership in intergroup relations using masculine and feminine faces. The Leadership Quarterly, 23(2), 273–280. https://doi.org/10.1016/j.leaqua.2011.08.006
Tabibnia, G., Satpute, A.B. and Lieberman, M.D. (2008). The sunny side of fairness – preference for fairness activates reward circuitry (and disregarding unfairness activates self-control circuitry). Psychological Science,19, pp. 339–347.
The Lancet Neurology, September 2004 Volume 3 Number 9 p507-570
Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review. British Journal of Management, 14(3), 207–222. https://doi.org/10.1111/1467-8551.00375
Verbeke, W., Bagozzi, R.P. and van den Berg, W.E. (2014). The role of attachment styles in regulating dopamine’s effects on salespersons’ behaviour. Frontiers in Human Neuroscience, doi: 10.3389/fnhum.2014.00032.
Watts, D.J. (2014). Scientific thinking in business. MIT Technology Review, 22 January. Available at: http://www. technologyreview.com/news/523661/scientific-thinkingin-business/ (accessed 17 February 2014).
Weber, B. J., & Huettel, S. A. (2008). The neural substrates of probabilistic and intertemporal decision making. Brain Research, 1234, 104–115. https://doi.org/10.1016/j.brainres.2008.07.105
Williams Woolley, A., Richard Hackman, J., Jerde, T. E., Chabris, C. F., Bennett, S. L., & Kosslyn, S. M. (2007). Using brain-based measures to compose teams: How individual capabilities and team collaboration strategies jointly shape performance. Social Neuroscience, 2(2), 96–105. https://doi.org/10.1080/17470910701363041
Woolley, A.W., Hackman, J.R., Jerde, T.E., Chabris, C.F., Bennett, S.L. and Kosslyn, S.M. (2007). Using brain-based measures to compose teams: how individual capabilities and team collaboration strategies jointly shape performance. Social Neuroscience, 2, pp. 96–105.
Zyphur, M. J., Narayanan, J., Koh, G., & Koh, D. (2009). Testosterone–status mismatch.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Brian Mateyo Haketa, Dr. Abubaker Qutieshat
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution (CC-BY) 4.0 License that allows others to share the work with an acknowledgment of the work’s authorship and initial publication in this journal.
