uate Artefact
10 Communicate Artefact Knowledge
Design science results are typically to be communicated to research as well as practitioner communities, which may include both tech‐
nology‐oriented and management‐oriented audiences. Furthermore, some design science results can be of such a broad interest that they are worthwhile to communicate to the general public.
Communicating results to researchers requires attention to rig‐
our so that they can evaluate the results and build on them in future work. In particular, the knowledge base should be carefully de‐
scribed as well as its relationship to the results produced. The choice of research strategies and methods should be well justified. The ap‐
plication of the chosen research strategies and methods should also be described in detail including discussions on validity and reliabil‐
ity.
These concerns about methodology and related research are less relevant for communication to practitioners. The focus is then rather on problem and practice as well as concrete outcomes in terms of construction, function, usability and effects.
Technology‐oriented audiences benefit from extensive details on the construction of an artefact, i.e. its components and their relation‐
ships. This allows practitioners to construct and implement the arte‐
fact in a practice, and researchers to further develop the artefact.
Management‐oriented audiences are primarily interested in the problem the artefact addresses, what benefits it can bring to a prac‐
tice, how easy it is to use, and its overall effects, e.g. on efficiency and agility in an organisational setting. Knowledge about these aspects will enable managers to determine whether or how to apply the arte‐
fact. The construction of the artefact is less relevant, though manag‐
ers will still need a basic knowledge of the inner workings of the artefact in order to appreciate its significance and understand its application. When communicating to the public, the main focus is often on the effects of a novel artefact, including its ethical and socie‐
tal consequences. The interests of different audiences are graphically illustrated in figure 10.1.
Figure 10.1 Different interests for different audiences
When disseminating design science results, the researcher has to select the right communication channels depending on the target.
For research communities, results are primarily communicated
through academic journals, conferences and workshops. Workshops the communication, it is valuable to present results in a clear and easily understandable structure. For example that provided by the design science method as depicted by the IDEF0 diagrams and the design science canvas. This structure is in many respects also similar to the IMRAD (Introduction, Methods, Results And Discussion) struc‐
ture, which is frequently used for organising empirical research pa‐
pers.
Is design theory the same as design science?
Short answer: No
Long answer: In this book, design science has been presented as a knowledge building endeavour, which can be carried out according to the design science method presented in Chapters 4 to 9. In contrast, a design theory focuses on the results of the design science activities and shows how these can be structured. A design theory consists of a num‐
ber of interrelated components that describe abstract artefacts like models and methods (each component is here exemplified using Codd’s
Constructs. Representations of the entities of interest in the theory.
These entities can be physical as well as abstract. (Attribute, tuple, n‐ary relation, domain of values.)
Principle of form and function. The abstract blueprint or architecture that describes an artefact. For a model, its components and their rela‐
tionships and functions would be described. For a method, its steps and
their order and purpose would be given. (A relation is defined over a domain of values and includes attributes and tuples.)
Artefact mutability. The changes in state of the artefact anticipated in the theory, that is the degree of artefact change encompassed by the theory. (The relational model allows for easy adaptation and change to base tables, while user views appear unchanged.)
Testable propositions. Testable propositions about instantiations of the artefact under consideration. Typically, these propositions state that if a model or method is instantiated then it will work, or it will have certain characteristics. (A relational database can perform as well as a non‐
relational database.)
Justificatory knowledge. The underlying knowledge or theories that provide a basis and justification for the design. (Set theory and behav‐
ioural science about human cognitive processes.)
Principles of implementation. Processes for implementing, i.e. instanti‐
ating, the artefact to which the theory applies (model or method) in specific situations. (Guidelines on how to create a relational database through normalization procedures.)
Expository instantiation. An implementation of the artefact that can assist in representing the theory both as an expository device and for purposes of testing. An instantiation can support communication about the artefact of a design theory. (A working relational database with ta‐
bles filled with data.)
While the design science method focuses on organising research activi‐
ties, a design theory aims at structuring the knowledge about an arte‐
fact. However, they are closely related in the sense that applying the design science method should result in a design theory. The Explicate Problem and Define Requirements activities should result in defining the purpose and scope of the design theory. The Design and Develop activi‐
ty should identify the constructs and specify the form and function of the artefact. Testable propositions should be deduced by the Evaluate Artefact activity, and an expository instantiation should be shown by the Demonstrate Artefact activity. Justificatory knowledge is to be ad‐
dressed by all the activities of the design science method. Artefact mu‐
tability and principles of implementation can also be addressed by sev‐
eral activities.
Further Reading
An established and easy to read textbook on scientific communica‐
tion was written by Booth et al. (2008). Sörensen (2005) has written an entertaining paper on how to and how not to write scientific arti‐
cles. Dixit (2011) has provided a concise introduction to the IMRAD format.