Integrating design science research and design based research frameworks for developing education support systems

Author(s):  
Kiran Fahd ◽  
Shah J. Miah ◽  
Khandakar Ahmed ◽  
Sitalakshmi Venkatraman ◽  
Yuan Miao
2015 ◽  
pp. 1116-1133 ◽  
Author(s):  
Aline Dresch ◽  
Daniel Pacheco Lacerda ◽  
Paulo Augusto Cauchick Miguel

2019 ◽  
Vol 1 (2) ◽  
pp. 1-20
Author(s):  
Andrea Back ◽  
Tina M Werro ◽  
Lukas M Peter

The study addresses an important literature gap concerning open innovation and startups. The purpose of this article is to deliver tools and guidelines for innovation managers to support their decision-making when aspiring to openly innovate with startups. The study proposes five spectra that show the variance across different collaboration on the following parameters for analysis: 1) investment required; 2) risk level; 3) corporate control; 4) Startup support; 5) ecosystem leverage. The article arrives at a simple weighted decision matrix to be used as a decision-guiding tool in determining the best choice of a startup-collaboration option from a corporate perspective. The research builds on a framework of references to previous literature and follows an explorative approach based on field research and design science research.


Author(s):  
Mark Bilandzic ◽  
John Venable

This paper proposes a new research method, Participatory Action Design Research (PADR), for studies in the Urban Informatics (UI) domain. PADR supports UI research in developing new technological means (e.g. using mobile and ubiquitous computing) to resolve contemporary issues or support everyday life in urban environments. Situated in a socio-technical context, UI requires a close dialogue between social and design-oriented fields of research as well as their methods. PADR combines Action Research and Design Science Research, both of which are used in Information Systems, another field with a strong socio-technical emphasis, and further adapts them to the cross-disciplinary needs and research context of UI.


Author(s):  
Shah J Miah ◽  
Michael McGrath ◽  
Don Kerr

This paper presents a contemporary literature review of design science research (DSR) studies in the domain of decision support systems (DSS) development. The latest studies in the DSS design domain claim that DSR methodologies are the most popular design approach, but many details are still yet to be revealed for supporting this claim. In particular, it is important to thoroughly investigate the trends in either the form or deeper insights in use of DSR in this field. The aim of this study is to analyse the existing DSS design science studies to reveal insights into the use of DSR, so that we can outline research agenda for a special issue, based on findings of analysis. We selected articles (from 2005 to 2014) that were published in seven selected premier IS journals (ranked as A* in the ABDC journal ranking). The selected 57 sample articles are representative of DSS design studies that used DSR in theorising, designing, implementing, and evaluating DSS solutions. We discuss the theoretical positions of DSR for DSS development through six categories: DSS artefacts, DSR methods, DSR views, user involvement, DSS design innovations and problem domains. The findings indicate that new studies are needed to fill the knowledge gap in DSS design science, for more solid theoretical basis in near future.


2014 ◽  
Vol 27 (3) ◽  
pp. 259-279 ◽  
Author(s):  
Shah J. Miah ◽  
Don Kerr ◽  
Liisa von Hellens

Purpose – The knowledge of artefact design in design science research can have an important application in the improvement of decision support systems (DSS) development research. Recent DSS literature has identified a significant need to develop user-centric DSS method for greater relevance with respect to context of use. The purpose of this paper is to develop a collective DSS design artefact as method in a practical industry context. Design/methodology/approach – Under the influence of goal-directed interaction design principles the study outlines the innovative DSS artefact based on design science methodology to deliver a cutting-edge decision support solution, which provides user-centric provisions through the use of design environment and ontology techniques. Findings – The DSS artefact as collective information technology applications through the application of design science knowledge can effectively be designed to meet decision makers’ contextual needs in an agricultural industry context. Research limitations/implications – The study has limitations in that it was developed in a case study context and remains to be fully tested in a real business context. It is also assumed that the domain decisions can be parameterised and represented using a constraint programming language. Practical implications – The paper concludes that the DSS artefact design and this development successfully overcomes some of the limitations of traditional DSS such as low-user uptake, system obsolescence, low returns on investment and a requirement for continual re-engineering effort. Social implications – The design artefact has the potential of increasing user uptake in an industry that has had relevancy problems with past DSS implementation and has experienced associated poor uptake. Originality/value – The design science paradigm provides structural guidance throughout the defined process, helping ensure fidelity both to best industry knowledge and to changing user contexts.


Land ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 484
Author(s):  
Simon Hull ◽  
Jennifer Whittal

In South Africa, land tenure security is a challenge for 60% or more of the population who hold interests in land outside of the formal system of registered title. There is a need for the cadastral and land administration systems to be reshaped, and for new land tenure forms to be developed to record all land rights and interests so as to improve land tenure security for all. In this paper, we undertake a reflective retrospective of the processes of land administrative reform in South Africa using a thematic framework that includes fit-for-purpose, design science research, and design thinking processes. Literary sources are coded using the thematic framework to identify potential contributions of foregrounding design science research and design thinking in fit-for-purpose land administration (FFP LA) approaches. Design science research paired with tools of behavioral science add value in understanding the context, problems, needs, and objectives and in communicating the results of critical reflection. The design thinking process has much to offer in capitalizing on the human abilities of empathy, deep understanding, and challenging assumptions, setting the scene for unconstrained creative thinking. Design science research and design thinking within FFP LA may promote innovations in land administration systems reform initiatives that deliver restorative justice in the South African land sector.


Author(s):  
M. R. (Ruth) De Villiers

This chapter introduces interpretive research as a background to research that is time-and context-dependent. The study presents practical, yet theoretical research approaches that are relevant to postgraduate studies and to ad-hoc research. The models proposed as interpretive research designs are development research, design-science research, and design-based research. Systems development, in and of itself, is not research, but when integrated with evaluation and applied both to solve real-world problems and to propose general design principles, it gives rise to development research. Design research – termed design-science research in the domain of information systems (where it has roots in software engineering) and design-based research in educational technology (where the approaches are more pragmatic) – has clearly defined features and methods in each domain respectively. The common attributes are the generation of creative and innovative artifacts to serve in complex situations, and the joint advancement of theory and practice. The three research designs are described, and each is illustrated by an example of a study where the model was applied


2017 ◽  
Vol 31 (3) ◽  
pp. 239-267 ◽  
Author(s):  
Dalila Cisco Collatto ◽  
Aline Dresch ◽  
Daniel Pacheco Lacerda ◽  
Ione Ghislene Bentz

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