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Multi-grounded action research
Linköping University, Sweden; Uppsala University, Sweden.
University of Borås, Sweden.
RISE Research Institutes of Sweden, Digital Systems, Mobility and Systems. Chalmers University of Technology, Sweden.ORCID iD: 0000-0003-0402-1741
2020 (English)In: Information Systems and E-Business Management, ISSN 1617-9846, E-ISSN 1617-9854, Vol. 18, no 2, p. 121-156Article in journal (Refereed) Published
Abstract [en]

The research approach of multi-grounded action research (MGAR) is presented and analyzed. This is based on a review of issues and concerns in information systems action research. MGAR builds on the epistemological principles of multi-grounding. This combines empirical, theoretical and internal grounding. The multi-grounded approach builds on elements from grounded theory; i.e. building theory inductively from data through coding procedures, but it also comprises an abductive use of extant theory. MGAR is described through six knowledge contributions: (1) the MGAR process model, (2) the MGAR knowledge model, (3) the MGAR theory model, (4) the principle of the multi-grounded change outcome, (5) the principle of the multi-grounded theory outcome and (6) the principle of mutuality of purposes. MGAR has been applied in an IT service management (ITSM) case, which serves an illustration and a validation of MGAR. In this MGAR case, the improvement of ITSM has been conducted and studied through a multi-organizational setting. In the case, there was a special focus on the service quality of IT services and the relations between service providers and customers. © 2020, The Author(s).

Place, publisher, year, edition, pages
Springer , 2020. Vol. 18, no 2, p. 121-156
Keywords [en]
Action research, Empirical grounding, Grounded theory, Information systems, Internal grounding, IT service management, Multi-grounding, Qualitative research, Situational inquiry, Theoretical grounding
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-48304DOI: 10.1007/s10257-020-00469-1Scopus ID: 2-s2.0-85089969282OAI: oai:DiVA.org:ri-48304DiVA, id: diva2:1465472
Note

Funding details: Stiftelsen för Kunskaps- och Kompetensutveckling, KK; Funding text 1: Funding was provided by the Knowledge Foundation (Stiftelsen för Kunskaps- och Kompetensutveckling).; Funding text 2: Open access funding provided by Linköping University. We gratefully acknowledge the financial support of the Knowledge Foundation, without which the present study could not have been completed. We are also grateful to the participating organizations that have collaborated in the AR project.

Available from: 2020-09-09 Created: 2020-09-09 Last updated: 2025-09-23Bibliographically approved

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Lind, Mikael

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