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  4. Three Personality Trait Combinations for Agile Employees: The Relationship Between the Big Five and Agile Mindset
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Three Personality Trait Combinations for Agile Employees: The Relationship Between the Big Five and Agile Mindset

Journal
International Conference on Information Systems (ICIS)
Type
conference paper
Date Issued
2022-12-14
Author(s)
Emmerich, Philipp
;
Eilers, Karen
;
Peters, Christoph  
;
Salomo, Sören
Research Team
IWI6
Abstract
Agile IT projects need employees who not only follow agile structures but have a specific attitude called the agile mindset. While the relevance of the agile mindset is clear, findings on when it can be developed, are very limited. Stable personality traits, like the big five, influence attitude. Providing how these traits interact with the agile mindset gives orientation regarding in which cases an agile mindset is more trainable than in other cases. To investigate these relationships, we conducted an online survey with 327 students of a project management lecture. As a result of our SEM and QCA analysis, we found three combinations of personality traits that influence the agile mindset including different extents of conscientiousness, openness, agreeableness and neuroticism. We deepen and extend the theory around the agile mindset and enable practitioners to choose data-driven cases for development activities. Limitations and future research based on these results are given.
Language
English
Keywords
big five
agile mindset
agility
trait combinations
HSG Classification
contribution to scientific community
Publisher place
Copenhagen, Denmark
Pages
18
Event Title
International Conference on Information Systems (ICIS)
Event Location
Copenhagen, Denmark
Event Date
9-14 Dec 2022
Official URL
https://aisel.aisnet.org/icis2022/is_design/is_design/5/
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/107972
Subject(s)

information managemen...

Division(s)

IWI - Institute of In...

Eprints ID
267501
File(s)
Thumbnail Image
Name

JML_925.pdf

Size

437.19 KB

Format

Adobe PDF

Checksum (MD5)

085879f042d01e2d412b3fafb4d69d96

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