Predictors of Effective Leadership in Industry--Should Engineering Education Focus on Traditional Intelligence, Personality, or Emotional Intelligence?

Autor/in	Lappalainen, Pia
Titel	Predictors of Effective Leadership in Industry--Should Engineering Education Focus on Traditional Intelligence, Personality, or Emotional Intelligence?
Quelle	In: European Journal of Engineering Education, 40 (2015) 2, S.222-233 (12 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0304-3797
DOI	10.1080/03043797.2014.944102
Schlagwörter	Engineering Education; Intelligence; Personality Traits; Emotional Intelligence; Leadership Qualities; Leadership Effectiveness; Predictor Variables; Logical Thinking; Mathematical Logic; Social Cognition; Skill Development; Intelligence Tests; Personality Measures; Age Differences; Extraversion Introversion; Empathy; Positive Attitudes; Gender Differences; Interpersonal Competence; Foreign Countries; Finland; Raven Advanced Progressive Matrices + Suchen Sie Ihr Suchwort? Ingenieurausbildung; Intelligenz; Klugheit; Individual characteristics; Personality characteristic; Persönlichkeitsmerkmal; Emotionale Intelligenz; Führungseigenschaft; Führungseffizienz; Prädiktor; Mathematical logics; Mathematische Logik; Soziale Kognition; Kompetenzentwicklung; Qualifikationsentwicklung; Intelligence test; Intelligenztest; Age; Difference; Age difference; Altersunterschied; Empathie; Geschlechterkonflikt; Interpersonale Kompetenz; Ausland; Finnland
Abstract	Despite the changing global and industrial conditions requiring new approaches to leadership, management training as part of higher engineering education still remains understudied. The subsequent gap in engineering education calls for research on today's leader requirements and pedagogy supporting the inclusion of management competence in higher engineering education. Previous organisation and management studies have, on a general level, established the importance of managerial qualities for industrial performance, but the nature and make-up of these qualifications has not been adequately analysed. To fill the related research gap, the present work embarked on a quantitative empirical effort to identify predictors of successful leadership in engineering. In particular, this study investigated relationships between perceived leader performance and three dimensions of managerial capability: (1) mathematical-logical intelligence, (2) personality, and (3) socio-emotional intelligence. This work complemented previous research by resorting to both self-reports and other-reports: the results acquired from the managerial sample were compared to subordinate perceptions as measured through an emotive intelligence other-report and a general managerial competence multi-source appraisal. The sample comprised 80 superiors and 354 subordinates operating in seven organisations in engineering industries. The results from the quantitative measurements signalled the strongest correlation for socioemotional intelligence and certain personality dimensions with successful leadership. Mathematical- logical intelligence demonstrated no correlation with subordinate perceptions of good leadership. These findings lay the foundation for the incorporation of socio-emotive skills into higher engineering education. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01