Enligt undersökningen är de fyra viktigaste faktorerna alla så kallade ”mjuka värden”: kandidatens motivation, hur väl hen passar in i organisationen, kandidatens potential och vad kandidaten kan tillföra till organisationens kultur. Först därefter kommer mer hårda värden som särskild kompetens, referenser och löneanspråk.
Mjuka värden oftare grund för rekryteringsbeslut – ”Driver en organisation framåt”
Rekrytering Att inte ha tillräcklig erfarenhet eller rätt utbildning är vanliga orosmoln för den som söker jobb. Men när rekryterare listar sina viktigaste faktorer för rekryteringsbeslut är det varken erfarenhet eller utbildning som hamnar i topp. Det visar en ny Sifo-undersökning på uppdrag av Jobbland.

Foto: Adobe Stock/Pressbild.
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Enligt Anita Rae, arbetsmarknadschef på Jobbland, spelar de mjuka värdena stor roll för arbetsgivare eftersom de berör den långsiktiga potentialen hos en medarbetare.
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