liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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
Preface: Recognizing management in LCM
Chalmers Univ Technol, Sweden.
Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-8951-9500
Brunel Univ, England.
Aalborg Univ, Denmark.
Show others and affiliations
2018 (English)In: The International Journal of Life Cycle Assessment, ISSN 0948-3349, E-ISSN 1614-7502, Vol. 23, no 7, p. 1351-1356Article in journal, Editorial material (Other academic) Published
Abstract [en]

n/a

Place, publisher, year, edition, pages
SPRINGER HEIDELBERG , 2018. Vol. 23, no 7, p. 1351-1356
National Category
Environmental Engineering
Identifiers
URN: urn:nbn:se:liu:diva-149706DOI: 10.1007/s11367-017-1368-xISI: 000435980400001OAI: oai:DiVA.org:liu-149706DiVA, id: diva2:1234404
Available from: 2018-07-24 Created: 2018-07-24 Last updated: 2018-07-24

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Search in DiVA

By author/editor
Lindahl, Mattias
By organisation
Environmental Technology and ManagementFaculty of Science & Engineering
In the same journal
The International Journal of Life Cycle Assessment
Environmental Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 126 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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