On theory development in design science research: anatomy of a research project

Kuechler, Bill; Vaishnavi, Vijay K.

doi:10.1057/ejis.2008.40

Cited by 410 publications

(309 citation statements)

References 32 publications

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“…We will discuss different types of design knowledge and how these are related to different grounding processes. We will not so much dig into the notion of design theory since there are several recent contributions here [15,19,35]. We find it more urgent to clarify design knowledge in terms of abstracted vs. situational knowledge.…”

Section: Purpose and Research Approachmentioning

confidence: 99%

“…There are several pending issues within DR [7,19,35,37]: What outcomes are there from DR? What is the role of theory and theorizing in DR?…”

Section: Background: Important Concerns In Design Research Evolutionmentioning

confidence: 99%

“…This involves also a clarification of relations between the design practice in DR and other activities in DR of more genuinely scientific character. The issue of interaction between design and theorizing has been addressed by several scholars [15,19,35,36]. In the context of our reasoning we need to say something more about this.…”

Section: Background: Important Concerns In Design Research Evolutionmentioning

confidence: 99%

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A Multi-Grounded Design Research Process

Goldkuhl

Lind

2010

Global Perspectives on Design Science Research

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Abstract. There has been a growing interest in the philosophy and constituents of design research by a vast amount of IS-scholars. There are several unresolved concerns and issues in design research (DR). Some examples are the outcomes of design research, the role of theorizing in DR, how to conduct evaluation and validation, and the need for different grounding processes to generate valid knowledge from design research endeavors. This paper describes a multi-grounded approach for design research; consisting of three types of grounding processes (theoretical, empirical and internal grounding). The purpose is to investigate DR-based design knowledge and its roles during design research and design practice. A key feature in this approach is the division between the meta-design (within design research) producing abstract design knowledge and the empirical design practice producing situational knowledge and artefacts. The multi-grounding approach to design research will be illustrated by the support of two design cases.

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Section: Purpose and Research Approachmentioning

confidence: 99%

“…There are several pending issues within DR [7,19,35,37]: What outcomes are there from DR? What is the role of theory and theorizing in DR?…”

Section: Background: Important Concerns In Design Research Evolutionmentioning

confidence: 99%

Section: Background: Important Concerns In Design Research Evolutionmentioning

confidence: 99%

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A Multi-Grounded Design Research Process

Goldkuhl

Lind

2010

Global Perspectives on Design Science Research

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“…O conhecimento prescritivo explicita como fazer algo e, além das características do artefato, fornece as normas tecnológicas e as regras que determinam como alcançar um resultado desejado, em uma situação particular, com a utilização do mesmo (IIVARI, 2007;KUECHLER;VAISHNAVI, 2008). O resultado desejado está associado à característica da utilidade, premissa central da DSR.…”

Section: O Artefato "Engrenagem Para Análise Da Qualidade Da Informação"unclassified

Comportamento informacional: proposição de artefato para reflexão de interdependências entre dimensões de qualidade da informação

Sordi

Carandina

2015

Perspect. ciênc. inf.

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Seguindo os preceitos da abordagem Design Science Research, desenvolveu-se e testou-se o artefato "Engrenagem para Análise da qualidade da informação". O artefato objetiva sensibilizar os trabalhadores da informação quanto à importância da reflexão das interdependências entre as dimensões de qualidade da informação antes de se realizar qualquer ação junto ao recurso informação. Testes realizados junto a 33 funcionários, de seis micro e pequenas empresas intensivas em conhecimento, evidenciaram a efetividade do artefato. Após treinamento e uso do mesmo, observou-se alteração de comportamento informacional dos funcionários, especialmente com relação às dimensões raridade, disponibilidade, originalidade e precisão da informação.

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“…And indeed, a lot can be learned by engaging students and practitioners in focus groups to find out about their concerns and suggestions. In this paper, we discuss an alternative route inspired by design science research (DSR) in information systems -"learning through the act of building" (Kuechler and Vaishnavi, 2008). Many things can be learned by exposing a sizable number of students to iterative implementations of learning dashboards early in the process.…”

mentioning

confidence: 99%

Small data as a conversation starter for learning analytics

Broos

Verbert

Langie

et al. 2017

JRIT&L

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Purpose The purpose of this paper is to draw attention to the potential of “small data” to complement research in learning analytics (LA) and to share some of the insights learned from this approach. Design/methodology/approach This study demonstrates an approach inspired by design science research, making a dashboard available to n=1,905 students in 11 study programs (used by n=887) to learn how it is being used and to gather student feedback. Findings Students react positively to the LA dashboard, but usage and feedback differ depending on study success. Research limitations/implications More research is needed to explore the expectations of a high-performing student with regards to LA dashboards. Originality/value This publication demonstrates how a small data approach to LA contributes to building a better understanding.

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On theory development in design science research: anatomy of a research project

Cited by 410 publications

References 32 publications

A Multi-Grounded Design Research Process

A Multi-Grounded Design Research Process

Comportamento informacional: proposição de artefato para reflexão de interdependências entre dimensões de qualidade da informação

Small data as a conversation starter for learning analytics

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