hig.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
The structure of determinants of individual adoption and use of e-ordering systems
Center for Information and Communication Research, Stockholm School of Economics, Stockholm, Sweden.ORCID iD: 0000-0002-5611-6032
2008 (English)In: Human Systems Management, ISSN 0167-2533, E-ISSN 1875-8703, Vol. 27, no 2, p. 143-159Article in journal (Refereed) Published
Abstract [en]

Electronic ordering (e-ordering) systems are currently being implemented in both private and public organizations. The advantages of these systems are widely acknowledged: increased compliance with use of fewer suppliers and improved efficiency. However, realizing these benefits is difficult due to end-user resistance to adopting and using such systems. The present paper proposes a framework inspired by adaptive structuration theory (AST) that functions as an analytical framework that helps to understand what structures and factors influence adoption and use of an e-ordering system. To the adapted AST framework is added factors of influence found in previous purchasing research, resulting in a framework that helps to understand adoption and use of an e-ordering system over time. The framework is tested using empirical data from a 4-year longitudinal case study. The paper embeds purchasing theory within the structuration framework of AST.

Place, publisher, year, edition, pages
IOS Press , 2008. Vol. 27, no 2, p. 143-159
Keywords [en]
Adaptive structuration theory, E-ordering systems, E-procurement, Framework, IS adoption and use, Case studies, Electronic ordering, Empirical data, End users, Individual (PSS 544-7), Ordering system, Public organizations, Structuration, Health
National Category
Business Administration
Identifiers
URN: urn:nbn:se:hig:diva-37954DOI: 10.3233/HSM-2008-0676Scopus ID: 2-s2.0-48249112219OAI: oai:DiVA.org:hig-37954DiVA, id: diva2:1638171
Available from: 2018-04-09 Created: 2022-02-16 Last updated: 2024-05-21Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Arbin, Katarina

Search in DiVA

By author/editor
Arbin, Katarina
In the same journal
Human Systems Management
Business Administration

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 76 hits
CiteExportLink to record
Permanent link

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