Det talas allt mer om vikten av att företag och organisationer är kunskapsintensiva. Medarbetare, oavsett bransch, lyfter fram sin kompetens som det främsta konkurrensmedlet.
Forskare: Allför lojala medarbetare är kontraproduktivt
Organisationsutveckling
Välanpassade medarbetare kan uppfattas som smidiga och lojala. Men beteendet är snarare kontraproduktivt och hämmar innovationsförmågan, menar Mats Alvesson, professor och forskare vid Lunds universitet som myntat begreppet ”funktionell dumhet”.

Många företag och organisationer har förvandlats till ”dumhetsmaskiner” där annars smarta personer slutar reflektera och bara tänker ”innanför boxen” enar Mats Alvefors. Foto Martin Harris.
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Trots det återspeglas inte alltid den samlade begåvningen och kunskapen i de organisationer som Mats Alvesson och hans forskarkollegor studerat.
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


