Salta al menu principale di navigazione Salta al contenuto principale Salta al piè di pagina del sito

Articles

N. 2 (2022)

Management between crises and emergencies. Toward an “absential” approach

DOI
https://doi.org/10.3280/cgrds2-2022oa15105
Inviata
17 December 2022
Pubblicato
27-01-2023

Abstract

The aim of this study is to propose a new approach to decision making based on information variety endowment and configuration. The research adopts an exploratory methodology and a qualitative approach, deepening and analyzing both academic and non-academic studies. The study found the existence of general characteristics in the dynamics of human behavior and in that of social phenomena, characters that lead to specific paths of decision and action based on information variety endowment of decision makers.

The developed conceptualization needs verification through appropriate tools and tested in empirical settings. The study can support the decision-making process of individuals, organizations, and whole societies – understood as viable systems – in the current dynamic and unpredictable context. This is the first work to propose an absential approach for the framing of managerial problems, recognizing that current methodologies are not capable of effectively responding to uncertainty and unpredictability of the melted result of economic, political, and social environments interaction. Eventually, this is the first work to engage in a mathematical demonstration of decision-making essentiality.

Riferimenti bibliografici

  1. Badinelli R., Barile S., Ng I., Polese F., Saviano M., Di Nauta P. (2012). Viable service systems and decision-making in service management. Journal of Service Management, 23(4): 498-526. DOI: 10.1108/09564231211260396.
  2. Barile S. (2009). Management sistemico vitale. Parte prima decidere in contesti complessi. Giappichelli Editore, Torino.
  3. Barile S. (edited by) (2013). Contributions to Theoretical and practical advances in Management: A Viable Systems Approach (VSA). Aracne, Roma.
  4. Barile S., Sancetta G., Saviano M. (2015). Management. Il modello sistemico e le decisioni manageriali. Vol. I. Giappichelli, Torino.
  5. Barile S., Di Nauta P., Iandolo F. (2016a). La decostruzione della complessità. MOA, Roma.
  6. Barile S., Riolli L., Hysa X. (2016b). Modelling and measuring group cohesiveness with consonance: intertwining the sociometric test with the picture apperception value test. Systems Research and Behavioral Science, 35(1): 1-21. DOI: 10.1002/sres.2418.
  7. Barile S., Saviano M., Calabrese M., La Sala A. (2018). In search of a possible evolutionary principle of management theory and practice. in S. Barile, R. Espejo, I. Perko, M. Saviano, F. Caputo (edited by). Cybernetics and Systems, Routledge, London, 114-121.
  8. Barile S., Simone C., La Sala A., Conti M.E. (2019). Surfing the complex interaction between new technology and norms: A resistance or resilience issue? Insights by the Viable System Approach (VSA). Acta Europeana Systemica, 9: 93-104. DOI: 10.14428/aes.v9i1.56053.
  9. Barile S., Pagliuca I., Vito P. (2021). Dal management essenziale al management assenziale. Risma, 2: 1-17.
  10. Barrett L.F., Bar M. (2009). See it with feeling: affective predictions during object perception. Philosophical Transactions of the Royal Society B: Biological Sciences, 364(1521): 1325-1334. DOI: 10.1098/rstb.2008.0312.
  11. Bergson H. (1889). Essai sur les données immédiates de la conscience. Ballière-F. Alcan, Paris.
  12. Brooks S.J, Savov V., Allzén E., Benedict C., Fredriksson R., Schiöth H.B. (2012). Exposure to subliminal arousing stimuli induces robust activation in the amygdala, hippocampus, anterior cingulate, insular cortex and primary visual cortex: A systematic meta-analysis of fMRI studies. Neuroimage, 59 (3): 2962-2973. DOI: 10.1016/j.neuroimage.2011.09.077.
  13. Damasio A.R. (1994). L’errore di Cartesio. Milano, Adelphi.
  14. Damasio A.R. (2003). Looking for Spinoza: Joy, Sorrow, and the Feeling Brain, Harcourt, Orlando.
  15. Darwin C. (1872). The Expression of the Emotions in Man and Animals. John Murray, London.
  16. Deacon T.W. (2012). Natura incompleta. Le Scienze, Roma.
  17. Denrell J., Fang C., Levinthal D.A. (2004). From T-mazes to labyrinths: Learning from model-based feedback. Management Science, 50(10): 1366-1378. DOI: 10.1287/mnsc.1040.0271.
  18. Ekman P., Friesen W.V. (2007). Giù la maschera. Come riconoscere le emozioni dall’espressione del viso. Giunti, Milano.
  19. Kahneman D., Tversky A. (1979). Prospect Theory: An Analysis of Decision Under Risk. Econometrica, 47: 263-291. DOI: 10.2307/1914185.
  20. LeDoux J. (1986). Sensory systems and emotion: A model of affective processing. Integrative Psychiatry, 4(4): 237-243.
  21. LeDoux J. (2002). The Emotional Brain, Fear, and the Amygdala. Cellular and Molecular Neurobiology, 23(4-5): 727-738. DOI: 10.1023/A:1025048802629.
  22. Mach E. (1903). Analisi delle Sensazioni. Fratelli Bocca, Torino.
  23. Maggioni V., Barile S., Calabrese M., Iandolo F. (2014). Emerging paradigms: how time affects decision making. L’industria, 35(1): 29-48. DOI: 10.1430-77262y2014i1p29-48.
  24. Nickerson C. (2021). Yerkes-Dodson Law. Simply Psychology. Available at: www.simplypsychology.org/what-is-the-yerkes-dodson-law.html.
  25. Papez J.W. (1937). A proposed mechanism of emotion. Archives of Neurology & Psychiatry, 38(4): 725-743. DOI: 10.1001/archneurpsyc.1937.02260220069003.
  26. Pessa E., Penna M.P. (1994). La rappresentazione della conoscenza. Armando Editore, Roma.
  27. Plutchik R. (1980). Emotion: a Psychoevolutionary Synthesis. Harper & Row, New York, 1980.
  28. Polya G. (1971). La scoperta matematica, Volume I. Feltrinelli, Milano.
  29. Rullani E. (2020). Il nuovo rapporto tra fini e mezzi nell’impresa della rivoluzione digitale. Impresa Progetto. Electronic Journal of Management, 3: 1-21. DOI: 10.15167/1824-3576/IPEJM2020.3.1300.
  30. Shannon R. (1949). Matematical Theory of Communication. University of Illinois Press, Urbana.
  31. Slovic P., Finucane M., Peters E., Mac Gregor D.G. (2001). The Affect Heuristic, in Gilovich T., Griffin, D., Kahneman, D. Heuristics and Biases, The Psychology of Intuitive Judgment, Cambridge, Cambridge University Press: 397-420.
  32. Taylor S.E. (1991). Illusioni: quando e perché l’autoinganno diventa la strategia più giusta. Giunti, Firenze.

Metriche

Caricamento metriche ...