Age, Biography and Wiki

John Antonakis was born on 29 March, 1969, is an An academic staff of the University of Lausanne. Discover John Antonakis's Biography, Age, Height, Physical Stats, Dating/Affairs, Family and career updates. Learn How rich is he in this year and how he spends money? Also learn how he earned most of networth at the age of 54 years old?

Popular As N/A
Occupation Professor
Age 54 years old
Zodiac Sign Aries
Born 29 March, 1969
Birthday 29 March
Birthplace N/A
Nationality

We recommend you to check the complete list of Famous People born on 29 March. He is a member of famous Professor with the age 54 years old group.

John Antonakis Height, Weight & Measurements

At 54 years old, John Antonakis height not available right now. We will update John Antonakis's Height, weight, Body Measurements, Eye Color, Hair Color, Shoe & Dress size soon as possible.

Physical Status
Height Not Available
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Who Is John Antonakis's Wife?

His wife is E. S. Faulk (s. 2018, div.)

Family
Parents Not Available
Wife E. S. Faulk (s. 2018, div.)
Sibling Not Available
Children Not Available

John Antonakis Net Worth

His net worth has been growing significantly in 2023-2024. So, how much is John Antonakis worth at the age of 54 years old? John Antonakis’s income source is mostly from being a successful Professor. He is from . We have estimated John Antonakis's net worth, money, salary, income, and assets.

Net Worth in 2024 $1 Million - $5 Million
Salary in 2024 Under Review
Net Worth in 2023 Pending
Salary in 2023 Under Review
House Not Available
Cars Not Available
Source of Income Professor

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Timeline

1969

John Antonakis (born March 29, 1969) is a professor of organizational behavior at the Faculty of Business and Economics of the University of Lausanne and former editor-in-chief of The Leadership Quarterly.

He was born and raised in South Africa of Greek parents (Paul Antonakis and Irene Bardi) and is Swiss naturalized.

He received his Ph.D. in applied management and decision sciences (Walden University) with a focus on leadership measurement and psychometrics, and was a post-doc in cognitive psychology (Yale University); he did undergraduate work at the University of the Witwatersrand (Wits) in business and economics, and received his Bachelor and master's degrees at Johnson and Wales University in business administration.

He specializes in leadership and charismatic leadership in particular.

He has communicated his work on leadership to a wide audiences, including work in applied statistics on endogeneity and causality, and general problems in science.

His article "Predicting Elections: Child's Play" published in the prestigious journal Science engendered a lot of interest because it showed that little children were able to predict results of election outcomes merely by rating the faces of the politician candidates; refer to his podcast for further information.

Lately, he has been working with Philippe Jacquart in predicting the U.S. presidential elections; their model predicted that Obama would win (refer to Antonakis's YouTube video on the Obama-Romney election race ).

2016

He predicted a victory for Trump in the 2016 and 2020 elections.

A summary of his latest work on charisma is available in a recent talk he gave at TEDx.

Antonakis has written broadly on topics germane to organizational behavior, including on leadership, social cognition, individual differences and methodology (psychometrics and applied econometrics).

A common thread in his research is correct measurement, as well as correct causal specification, design, and analysis.

For instance, he has been critical of the concept of emotional intelligence particularly self-measures; his research suggests that emotional intelligence measures are not developed enough to be used for clinical purposes or in work-related or educational settings, and that emotional intelligence is not needed for leadership.

As proponent of consistent estimators and causally identified models using econometrics and structural equation modeling techniques, he has also written critiques of Partial least squares path modeling, which he states should be abandoned.

He has also shown that, because of endogeneity issues, much of the research done in management and applied psychology is devoid of causal interpretation.