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Cronholm, S., Göbel, H. & Cao, L. (2023). Abductive Design Science Research: The Interplay between Deduction and Induction. In: : . Paper presented at 34th Australasian Conference on Information Systems (ACIS). Wellington, New Zealand, Dec 6-8. 2023..
Open this publication in new window or tab >>Abductive Design Science Research: The Interplay between Deduction and Induction
2023 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Design science research (DSR) aims to generate knowledge about innovative solutions to real-world problems. DSR studies usually involve inductive, deductive or abductive inference strategies to generate design knowledge. However, applying these strategies has often remained implicit, which means that the transparency of the research processes could be questioned (e.g. openness, honesty). This study focuses on abductive DSR, which is often regarded as a combination of inductive and deductive strategies. Based on our literature review, we can conclude that there is a lack of prescriptive support for how to conduct abductive DSR. We have also identified that the concept of abduction is omitted in well- known DSR frameworks/methods. To address this research gap, our study applies a qualitative content analysis to analyse two abductive DSR PhD theses. The analysis outcome is a conceptual model describing central relationships and an abductive DSR process model illustrating movements between the theoretical and empirical domains. 

Keywords
Abduction, design science, design science research, action design research, abductive reasoning
National Category
Information Systems, Social aspects
Research subject
Business and IT
Identifiers
urn:nbn:se:hb:diva-30925 (URN)
Conference
34th Australasian Conference on Information Systems (ACIS). Wellington, New Zealand, Dec 6-8. 2023.
Available from: 2023-11-24 Created: 2023-11-24 Last updated: 2023-11-27Bibliographically approved
Cronholm, S. & Göbel, H. (2022). Action Design Research – Models for Researcher-Practitioner Collaboration. In: The Transdisciplinary Reach of Design Science Research: 17th International Conference on Design Science Research in Information Systems and Technology, Proceedings: . Paper presented at DESRIST 2022, St Petersburg, FL, USA, June 1–3, 2022. (pp. 393-404). Springer
Open this publication in new window or tab >>Action Design Research – Models for Researcher-Practitioner Collaboration
2022 (English)In: The Transdisciplinary Reach of Design Science Research: 17th International Conference on Design Science Research in Information Systems and Technology, Proceedings, Springer, 2022, p. 393-404Conference paper, Published paper (Refereed)
Abstract [en]

One essential characteristic of the Action Design Research (ADR) method is researcher-practitioner collaboration (RPC). The purpose of this paper is to present theoretical models for RPC collaboration in ADR projects. The models involve conditions, actions, and consequences concerning RPC challenges. A grounded theory approach was applied to identify the RPC challenges. The challenges were identified in a collaborative ADR project consisting of four researchers and nine organizations from the industry sector. The identified main challenges are: researcher intervention in practitioner contexts, reciprocal shaping between artifacts and design principles emerged from theory and practice, and researcher and practitioner learning. The contribution to practice, which consists of future ADR projects involving collaboration between researchers and practitioners, involves specific actions to be taken.

Place, publisher, year, edition, pages
Springer, 2022
Series
Lecture Notes in Computer Science ; 13229
Keywords
Action-design research, ADR, Researcher-practitioner collaboration, Collaboration, Design science research
National Category
Communication Studies
Research subject
Business and IT
Identifiers
urn:nbn:se:hb:diva-28353 (URN)10.1007/978-3-031-06516-3_29 (DOI)2-s2.0-85131946939 (Scopus ID)
Conference
DESRIST 2022, St Petersburg, FL, USA, June 1–3, 2022.
Funder
Knowledge Foundation
Available from: 2022-08-11 Created: 2022-08-11 Last updated: 2024-02-01
Cronholm, S. & Göbel, H. (2022). Action design research: integration of method support. International Journal of Managing Projects in Business, 15(8), 19-47
Open this publication in new window or tab >>Action design research: integration of method support
2022 (English)In: International Journal of Managing Projects in Business, ISSN 1753-8378, E-ISSN 1753-8386, Vol. 15, no 8, p. 19-47Article in journal (Refereed) Published
Abstract [en]

Purpose Action design research (ADR) has become widely accepted as a prominent research method within information systems when managing design-oriented research projects. One purpose of the ADR method is to provide methodological guidance for the building of IT artefacts. However, several scholars have reported a lack of guidance of method support at the micro level. This article aims to complement the macro level of the ADR method by integrating prescriptive method support at the micro level. Design/methodology/approach A qualitative approach including direct content analysis. An empirical ADR project was analysed in order to identify method support that could be integrated into the ADR method. Findings Method support at the micro level was identified for all the stages of the ADR method. The method support consists of procedural support, guiding concepts, and various techniques for the documentation of project tasks stated in the ADR method. Research limitations/implications The contribution to theory consists of aspects concerning the integration of macro and micro levels: relationships between normative and prescriptive support, continuous focus shifts, and method completeness. Practical implications The contribution to practice consists of explicit suggestions for method support that could be integrated into the ADR method. Originality/value This study extends previously provided knowledge by offering empirical evidence concerning theoretical constructions consisting of explicit relationships between ADR tasks and integrated method support, and elaboration on the integration of macro and micro levels.

Place, publisher, year, edition, pages
Emerald Group Publishing Limited, 2022
Keywords
Action design research, ADR, Project management, ADR projects, Design science research, Design methods, MANAGEMENT RESEARCH, SCIENCE RESEARCH, RECIPROCITY, INNOVATION, FRAMEWORK, FUTURE, TOOL
National Category
Business Administration
Identifiers
urn:nbn:se:hb:diva-27942 (URN)10.1108/IJMPB-07-2021-0196 (DOI)000793684300001 ()2-s2.0-85130190789 (Scopus ID)
Available from: 2022-05-30 Created: 2022-05-30 Last updated: 2023-11-27Bibliographically approved
Cronholm, S. & Göbel, H. (2022). Design Principles for Human-Centred Artificial Intelligence. In: : . Paper presented at European Conference on Information Systems (ECIS), Timisoara, Romania, 18–24 June, 2022..
Open this publication in new window or tab >>Design Principles for Human-Centred Artificial Intelligence
2022 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Advancements within artificial intelligence (AI) enable organisations to reformulate strategies forexploiting data in order to refine their business models, make better decisions and maintain acompetitive advantage. We recognise the technical advantages of AI. However, our view is that thetechnical perspective as a base for decision-making is necessary but insufficient. Several studies inhuman science report that essential human knowledge and competencies that affect decision making arenot represented in AI systems. Based on this observation, we have developed design principles fordeveloping decision-support systems (DSS) that combine human intelligence (HI) with AI. The designprinciples are: design for amplified decision-making, design for unbiased decision-making and designfor human and AI learning. The design principles constitute the scientific contribution to the emergentfield of Human-Centred AI. The contribution to practice consists of a DSS (a digital prototype) thatsupports the combination of HI and AI.

Keywords
Human-centred AI, Design principles, Decision-support systems, Action Design Research
National Category
Computer Sciences
Research subject
Business and IT
Identifiers
urn:nbn:se:hb:diva-28354 (URN)
Conference
European Conference on Information Systems (ECIS), Timisoara, Romania, 18–24 June, 2022.
Note

Finansiär: Handelsrådet

Available from: 2022-08-11 Created: 2022-08-11 Last updated: 2022-08-11
Cronholm, S., Göbel, H. & Andersson, L. (2022). Digitala hybridsystem för innovation: Populärvetenskaplig slutrapport. Handelsrådet
Open this publication in new window or tab >>Digitala hybridsystem för innovation: Populärvetenskaplig slutrapport
2022 (Swedish)Report (Other academic)
Place, publisher, year, edition, pages
Handelsrådet, 2022
National Category
Information Systems
Research subject
Business and IT; Business and IT
Identifiers
urn:nbn:se:hb:diva-27429 (URN)
Available from: 2022-02-03 Created: 2022-02-03 Last updated: 2022-02-03Bibliographically approved
Cronholm, S. (2021). Lifelong Learning: Challenges and Principles. In: Hus, Vlasta (Ed.), Current Research in Language, Literature and Education Vol. 1: . B P International
Open this publication in new window or tab >>Lifelong Learning: Challenges and Principles
2021 (English)In: Current Research in Language, Literature and Education Vol. 1 / [ed] Hus, Vlasta, B P International , 2021Chapter in book (Refereed)
Abstract [en]

Aim/Purpose: The concept of lifelong learning has attracted a lot of interest for several years. One reason is the rapid development of digital technology. The purpose of this paper is to create knowledge supporting the development of education for lifelong learning. 

Background: On meeting the growing demand for lifelong learning, universities face several challenges. One challenge is that the curriculum seldom is designed for lifelong learning. At the same time, several universities want to be attractive education partners for adult students with work experiences. There is a lack of normative and prescriptive support that can guide the development of education concerning lifelong learning.

Methodology: Design science research, interviews, grounded theory and root-cause analysis.

Contribution: Contribution to practice: A master program in Information Systems that supports lifelong learning. Contribution to theory: Advancements on design knowledge that can guide the development of education programs concerning rapid advancements in digital technology.

Findings: Five design principles: consider rapid development of digital technology, balance time-consuming bureaucratic procedures with companies’ demands for speedy access to new modern courses, simplify procedures for students applying with work experience qualifications, implement plans for competence development of teachers, and base courses on rigour and relevance. The main conclusion is that the rapid technological development causes universities to face a strategic imperative to broaden access to lifelong learning. We can also conclude that close academic-practitioner collaboration will support the design of lifelong learning.

Impact on Society: Lifelong learning improves social inclusion, active citizenship, personal development, competitiveness, and employability.

Future Research: Further validation of the design principles in order to create knowledge that can support the development of education for lifelong learning.

Place, publisher, year, edition, pages
B P International, 2021
Keywords
Lifelong learning, design principles, development of study programs, academy-industry collaboration, challenges for lifelong learning, action design research
National Category
Computer and Information Sciences Educational Sciences
Research subject
Business and IT
Identifiers
urn:nbn:se:hb:diva-26956 (URN)10.9734/bpi/crlle/v1/13966D (DOI)978-93-5547-170-3 (ISBN)978-93-5547-171-0 (ISBN)
Available from: 2021-11-30 Created: 2021-11-30 Last updated: 2023-11-27Bibliographically approved
Cronholm, S. (2021). Lifelong Learning: Principles for Designing University Education. Journal of Information Technology Education: Research, 35-60
Open this publication in new window or tab >>Lifelong Learning: Principles for Designing University Education
2021 (English)In: Journal of Information Technology Education: Research, p. 35-60Article in journal (Refereed) Published
Abstract [en]

Aim/Purpose

Due to the rapid development of digital technology, create knowledge to support the development of education for lifelong learning.

Background

There is a lack of normative and prescriptive support that can guide the development of education concerning lifelong learning.

Methodology

Design science research, interviews, grounded theory and root-cause analysis.

Contribution

Contribution to practice: A master program in Information Systems that supports lifelong learning. Contribution to theory: Advancements on design knowledge that can guide the development of education programs concerning rapid advancements in digital technology.

Findings

Five design principles: consider rapid development of digital technology, balance time-consuming bureaucratic procedures with companies’ demands for speedy access to modern courses, simplify procedures for students applying with work experience qualifications, implement plans for competence development of teachers, and base courses on rigour and relevance.

Recommendations for Practitioners

Companies could enter the whole education program or select interesting courses or course modules.

Recommendation for Researchers

The design principles should be considered when research on guidance concerning lifelong learning for adult learners is conducted.

Impact on Society

Lifelong learning enhances social inclusion, active citizenship and personal development, as well as competitiveness and employability.

Future Research

Further validation of the design principles in order to create knowledge that can support the development of education for lifelong learning.

Place, publisher, year, edition, pages
Informing Science Institute, 2021
Keywords
lifelong learning, design principles, development of study programs, academy-industry collaboration
National Category
Computer and Information Sciences
Research subject
Business and IT
Identifiers
urn:nbn:se:hb:diva-24941 (URN)10.28945/4686 (DOI)000612287100001 ()2-s2.0-85107972670 (Scopus ID)
Funder
Knowledge Foundation
Available from: 2021-02-15 Created: 2021-02-15 Last updated: 2024-02-01
Cronholm, S., Göbel, H. & Åkesson, M. (2020). ITIL Compliance with Service-Dominant Logic. e-Service Journal, 11(2), 74-97
Open this publication in new window or tab >>ITIL Compliance with Service-Dominant Logic
2020 (English)In: e-Service Journal, ISSN 1528-8226, E-ISSN 1528-8234, Vol. 11, no 2, p. 74-97Article in journal (Refereed) Published
Abstract [en]

The increased recognition of the benefits of Service-Dominant (S-D Logic) has encouraged IT organizations to adopt an S-D Logic perspective. In order to streamline the service transformation process, a majority of them are using the best practice ITIL. However, the development of several ITIL books lacks a solid theoretical grounding based on  S-D Logic. This is problematic because it hinders IT-organizations to efficiently adopt a service perspective. The purpose of this paper is to present knowledge concerning how ITIL complies with the service perspective of S-D logic. The findings consist of knowledge about areas in ITIL which comply with S-D logic and areas where there is room for improvement. To increase compliance with a service-oriented perspective, ITIL needs to adopt contemporary definitions of service and value, including a stronger emphasis on value co-creation and abandoning a language that corresponds to traditional goods-dominant logic. The findings contribute to an improved understanding of shortcomings of ITIL regarding service-orientation. Based on the findings, this paper suggests some actions that can be applied as a remedy in cases where ITIL has low compliance with S-D logic. Moreover, the knowledge presented is essential for organizations that are using ITIL to transform their service processes to digital formats. 

Place, publisher, year, edition, pages
Indiana University Press, 2020
Keywords
ITIL, service-dominant logic, value co-creation, service perspective
National Category
Social Sciences
Research subject
Business and IT
Identifiers
urn:nbn:se:hb:diva-24790 (URN)10.2979/eservicej.11.2.03 (DOI)
Available from: 2020-10-09 Created: 2021-01-20 Last updated: 2023-11-27Bibliographically approved
Goldkuhl, G., Cronholm, S. & Lind, M. (2020). Multi-grounded action research. Information Systems and E-Business Management
Open this publication in new window or tab >>Multi-grounded action research
2020 (English)In: Information Systems and E-Business Management, ISSN 1617-9846, E-ISSN 1617-9854Article in journal (Refereed) Epub ahead of print
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.

Place, publisher, year, edition, pages
SPRINGER HEIDELBERG, 2020
Keywords
Action research, Information systems, Qualitative research, Multi-grounding, Grounded theory, Empirical grounding, Theoretical grounding, Internal grounding, Situational inquiry, IT service management
National Category
Information Systems
Research subject
Business and IT
Identifiers
urn:nbn:se:hb:diva-24789 (URN)10.1007/s10257-020-00469-1 (DOI)000530766000001 ()2-s2.0-85089969282 (Scopus ID)
Note

Funding Agencies|Linkoping University; Knowledge Foundation

Available from: 2021-01-20 Created: 2021-01-20 Last updated: 2023-11-27Bibliographically approved
Cronholm, S. & Andersson, L. (2020). Towards a Process Model for Data-Driven Innovation using a Grounded Theory Approach. e-Service Journal, 12(2), 35-64
Open this publication in new window or tab >>Towards a Process Model for Data-Driven Innovation using a Grounded Theory Approach
2020 (English)In: e-Service Journal, ISSN 1528-8226, E-ISSN 1528-8234, Vol. 12, no 2, p. 35-64Article in journal (Refereed) Published
Abstract [en]

Data-driven innovation (DDI) has attracted a lot of attention during recent years. Data is regarded as a key resource; the process of turning data into value is an activity, and products or services as value propositions are key objectives. However, few organizations are successful in their efforts to establish process models that support DDI. Several scholars report a lack of knowledge regarding how to manage data-driven processes. Against this background, the purpose of this paper is to fulfill this research gap by identifying and generating knowledge about DDI from a process perspective. A thorough literature review has been used to identify issues related to the DDI. The knowledge is articulated and implemented in a process model supporting organizations to exploit data in order to develop value propositions. The suggested process model consists of three integrated components: data strategy, value cycle, and data management. We can conclude that the process model extends previous models by presenting a detailed process model, applying a socio-technical perspective, offering both normative and prescriptive guidance supporting a systematic approach to data-driven innovation, and using data analytics as a generic tool for several actions in the DDI process. 

Keywords
Data-driven innovation, Data-driven process, Data-driven process model, Data strategy, Value cycle, Data management
National Category
Information Systems
Research subject
Business and IT
Identifiers
urn:nbn:se:hb:diva-24535 (URN)10.2979/eservicej.12.2.02 (DOI)
Funder
Knowledge Foundation
Available from: 2021-01-01 Created: 2021-01-01 Last updated: 2021-02-08Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-1452-4206

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