John Antonakis

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.

John Antonakis
Born (1969-03-29) March 29, 1969
NationalitySwiss, Greek, South African
OccupationProfessor
SpouseE. S. Faulk (s. 2018, div.)
AwardsFellow of the Association for Psychological Science, Fellow of the Society for Industrial and Organizational Psychology. Highly Cited Researcher in the field of Economics and Business - 2019 Institute for Scientific Information
Scientific career
FieldsPsychology, Management, Methodology
Websitehttp://www.hec.unil.ch/people/jantonakis

Life

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.

Specialty: leadership

He specializes in leadership and charismatic leadership in particular.[1][2] He has communicated his work on leadership to a wide audiences,[3][4] including work in applied statistics on endogeneity and causality,[5] and general problems in science.[6] His article "Predicting Elections: Child's Play"[7] 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.[8] Lately, he has been working with Philippe Jacquart in predicting the U.S. presidential elections;[9] their model predicted that Obama would win (refer to Antonakis's YouTube video on the Obama-Romney election race[10]). He predicted a victory for Trump in the 2016 and 2020 elections.[11][12][13] A summary of his latest work on charisma is available in a recent talk he gave at TEDx.[14]

Scientific positions

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,[15] 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.[16] He has also shown that, because of endogeneity issues, much of the research done in management and applied psychology is devoid of causal interpretation.[17][18][19][20]

References

  1. Clark, Bryan (2019-08-15). "What Makes People Charismatic, and How You Can Be, Too". The New York Times. ISSN 0362-4331. Retrieved 2021-05-18.
  2. "The subtle secrets of charisma". Financial Times. 2 January 2013. Retrieved 2021-05-18.
  3. Blaschka, Amy. "Research Says This Is How To Become A More Charismatic Leader". Forbes. Retrieved 2021-05-18.
  4. "Does power lead to corruption?". The Guardian. 2014-12-17. Retrieved 2021-05-18.
  5. UNILTV (2011-09-19), Endogeneity: An inconvenient truth (full version), by John Antonakis, retrieved 2017-11-17
  6. McCook, Author Alison (2017-02-21). "Got "significosis?" Here are the five diseases of academic publishing". Retraction Watch. Retrieved 2021-05-18. {{cite web}}: |first= has generic name (help)
  7. Antonakis, J.; Dalgas, O. (2009). "Predicting elections: Child's play!" (PDF). Science. 323 (5918): 1183. doi:10.1126/science.1167748. PMID 19251621. S2CID 20071242.
  8. polscience133 (2011-03-19), Part 1: Predicting Elections: Childs Play with John Antonakis, retrieved 2017-11-17
  9. Jacquart, P.; Antonakis, J. (2015). "When does charisma matter for top-level leaders? Effect of attributional ambiguity". Academy of Management Journal. 58 (4): 1051–1074. doi:10.5465/amj.2012.0831.
  10. HECLausanneofficial (2012-10-03), Obama or Romney: Who will win and by how much? HEC Lausanne decodes the news podcast # 9, retrieved 2017-11-17
  11. "The next US President: Donald Trump or Joe Biden?". news.unil.ch. Retrieved 2020-11-02.
  12. Giroud, Tara. "Why two Swiss-led data models predict a Trump win". SWI swissinfo.ch. Retrieved 2020-11-02.
  13. "Professor who predicted Trump's 2016 upset election win says the president will win again on November 3". Newsweek. 2020-10-28. Retrieved 2020-11-02.
  14. "Let's face it: Charisma matters". TEDxLausanne. 2015-01-18. Archived from the original on 2015-04-18. Retrieved 2017-11-17.
  15. "Emotional Intelligence: The Hype, the Hope, the Evidence | Emotion Researcher". emotionresearcher.com. 2015-03-16. Retrieved 2021-07-02.
  16. "Professeurs et Recherche — HEC Lausanne". hecnet.unil.ch. Retrieved 2021-07-02.
  17. Antonakis, J.; Bendahan, S.; Jacquart, P.; Lalive, R. (2010). "On making causal claims: A review and recommendations" (PDF). The Leadership Quarterly. 21 (6): 1086–1120. doi:10.1016/j.leaqua.2010.10.010.
  18. Fischer, Thomas; Dietz, Joerg; Antonakis, John (2017). "SAGE Journals: Your gateway to world-class journal research" (PDF). Journal of Management. 43 (6): 1726–1753. doi:10.1177/0149206316682830. S2CID 151426321.
  19. Antonakis, John; Bastardoz, Nicolas; Liu, Yonghong; Schriesheim, Chester A. (2014-02-01). "What makes articles highly cited?" (PDF). The Leadership Quarterly. 25 (1): 152–179. doi:10.1016/j.leaqua.2013.10.014. ISSN 1048-9843.
  20. Antonakis, John; Bastardoz, Nicolas; Rönkkö, Mikko (April 2021). "On Ignoring the Random Effects Assumption in Multilevel Models: Review, Critique, and Recommendations". Organizational Research Methods. 24 (2): 443–483. doi:10.1177/1094428119877457. ISSN 1094-4281. S2CID 210355362.
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