Konferenzbeitrag
Leadership in an Ageing Society and the Brain: Applying Neuroscience to Leadership
"What makes a great leader?" This question has been on the minds of scientists, philosophers, professionals, and others around the globe for centuries. Many theories and models have been proposed to answer the question, but none has fully captured leadership as a dynamic and constantly evolving attitude. In the last 20 years, technological advancements have helped neuroscientists understand the human brain better. With the help of ground-breaking insights in neuroscience, the leadership enigma has a convincing answer rooted in a specific and very tangible source: the brain. This paper aims to increase awareness around the impact of the brain on leadership behaviour in an aging society by presenting secondary research of available scientific theory. In particular, this paper aims to provide an overview and assess the brain-based leadership models and recent approaches to highlight the possible ways to boost the leadership brain and enhance performance. The paper also points out the ethical issues arising from brain enhancement in leadership and leaders' awareness of the possible broad social consequences that neuro leadership might bring.
- Sprache
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Englisch
- Erschienen in
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In: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Hybrid Conference, Opatija, Croatia, 17-18 June 2022 ; Year: 2022 ; Pages: 64-79 ; Zagreb: IRENET - Society for Advancing Innovation and Research in Economy
- Klassifikation
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Wirtschaft
Neuroeconomics
Firm Objectives, Organization, and Behavior: Other
Corporate Culture; Diversity; Social Responsibility
Economic Development: Human Resources; Human Development; Income Distribution; Migration
- Thema
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leadership
brain
neuroscience
neuro leadership
brain-based
neuroethics
ageing society
- Ereignis
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Geistige Schöpfung
- (wer)
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Debelak, Katja
Penger, Sandra
Grah, Barbara
- Ereignis
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Veröffentlichung
- (wer)
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IRENET - Society for Advancing Innovation and Research in Economy
- (wo)
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Zagreb
- (wann)
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2022
- DOI
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doi:10.54820/entrenova-2022-0007
- Handle
- Letzte Aktualisierung
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10.03.2025, 11:45 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Konferenzbeitrag
Beteiligte
- Debelak, Katja
- Penger, Sandra
- Grah, Barbara
- IRENET - Society for Advancing Innovation and Research in Economy
Entstanden
- 2022