Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Critical event recognition: An extended view of reflective learning
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Innovation and Design.ORCID iD: 0000-0003-1083-7851
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Innovation and Design.ORCID iD: 0000-0002-0656-4419
Number of Authors: 2
2016 (English)In: Management Learning, ISSN 1350-5076, E-ISSN 1461-7307, Vol. 47, no 5, 525-542 p.Article in journal (Refereed) Published
Abstract [en]

This inductive case study extends existing reflective learning theory by introducing the concept of critical event recognition. We define this as the cognitive process through which individuals conclude that they are facing a critical learning point that demands a change of thoughts and actions. Extant theory has described reflection and learning as processes of interaction among an individual’s various experiences and has emphasized that critical events are important for these processes. Yet, theory has largely ignored how learners develop task-specific cognitions from such critical events when they lack previous task-specific experiences to which they can relate the reflection. This study proposes an extended perspective on reflective learning by shedding light on event recognition and by illustrating how cognitive development may progress when the individual has little prior experience with which to integrate the reflection from critical events

Place, publisher, year, edition, pages
2016. Vol. 47, no 5, 525-542 p.
National Category
Other Engineering and Technologies not elsewhere specified
Research subject
Entrepreneurship and Innovation
Identifiers
URN: urn:nbn:se:ltu:diva-60194DOI: 10.1177/1350507615618600ISI: 000389917200003Scopus ID: 2-s2.0-84992029049OAI: oai:DiVA.org:ltu-60194DiVA: diva2:1045034
Note

Validerad; 2016; Nivå 2; 2016-11-08 (andbra)

Available from: 2016-11-08 Created: 2016-11-08 Last updated: 2017-10-19Bibliographically approved
In thesis
1. An Entrepreneurial Mindset: Self-Regulating Mechanisms for Goal Attainment
Open this publication in new window or tab >>An Entrepreneurial Mindset: Self-Regulating Mechanisms for Goal Attainment
2017 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Comprised of a cover story and five separate but interrelated articles, this dissertation explores entrepreneurial learning. By connecting multiple theoretical perspectives, reviewing extant literature, using four qualitative datasets, and building theory inductively, the articles explain components to and mechanisms of entrepreneurial learning. This dissertation is one of the first to explore the essence of entrepreneurial learning by incorporating non-entrepreneurs and entrepreneurs simultaneously, cognitive processes, and contextual variables.

 Learning lies at the core of entrepreneurship, and scholars have even argued that a theory of entrepreneurship requires a theory of learning. The literature suggests that experiences in the context of entrepreneurship triggers entrepreneurial learning, and that such learning relates to achieving ambitious goals, the discovery of new opportunities and better overall performance. Entrepreneurial learning has also been highlighted in contexts outside entrepreneurship and as a mean to fostering future entrepreneurs and developing people’s entrepreneurial attributes and characteristics. The idea is that entrepreneurship is a way of thinking and acting and that entrepreneurial learning can be of use to anyone, even to those lacking entrepreneurial experience.

Entrepreneurial learning literature, both inside and outside the context of entrepreneurship, emphasizes triggers of entrepreneurial learning, but does not recognize components that enable those triggers to be recognized and acted on and the underlying mechanisms that distinguish entrepreneurial learning from other types of learning. This gap makes it difficult to assess what entrepreneurial learning is and how it can be enhanced for both entrepreneurs and people preparing for entrepreneurship. This dissertation explains how and why entrepreneurial learning can be understood as a simultaneous and active regulation of cognition, motivation, and emotions to achieve goals. This elaboration captures core components and the mechanism of entrepreneurial learning, and illustrates how it can be understood and enhanced in various contexts.

Place, publisher, year, edition, pages
Luleå: Luleå University of Technology, 2017
Series
Doctoral thesis / Luleå University of Technology 1 jan 1997 → …, ISSN 1402-1544
Keyword
entrepreneurial learning; self-regulated learning; entrepreneurship education; entrepreneurial mindset
National Category
Engineering and Technology
Research subject
Entrepreneurship and Innovation
Identifiers
urn:nbn:se:ltu:diva-63105 (URN)978-91-7583-890-8 (ISBN)978-91-7583-891-5 (ISBN)
Public defence
2017-06-16, A1547, Luleå tekniska universitet, Luleå, 13:00 (English)
Opponent
Supervisors
Available from: 2017-04-24 Created: 2017-04-21 Last updated: 2017-05-26Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Lindh, IdaThorgren, Sara
By organisation
Innovation and Design
In the same journal
Management Learning
Other Engineering and Technologies not elsewhere specified

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 242 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf