Systematic Creation of Cumulative Design Science Research Knowledge with a Case Study in the Field of Automatic Speech Recognition

2019 ◽  
pp. 94-101
Author(s):  
Udo Bub
Keyword(s):  
Speech Recognition ◽  
Automatic Speech Recognition ◽  
Design Science ◽  
Science Research ◽  
Design Science Research ◽  
Research Knowledge

scholarly journals A Distinctive Analysis of Case Study, Action Research and Design Science Research

2015 ◽  
pp. 1116-1133 ◽  
Author(s):  
Aline Dresch ◽  
Daniel Pacheco Lacerda ◽  
Paulo Augusto Cauchick Miguel
Keyword(s):  
Action Research ◽  
Design Science ◽  
Science Research ◽  
Design Science Research ◽  
Research And Design

Design Science Research Roadmap Model for Information Systems Projects

2018 ◽  
Vol 9 (3) ◽  
pp. 1-19
Author(s):  
Nadhmi Gazem ◽  
Azizah Abdul Rahman ◽  
Faisal Saeed ◽  
Noorminshah A. Iahad
Keyword(s):  
Information Systems ◽  
Small And Medium Enterprises ◽  
Design Science ◽  
Science Research ◽  
Design Science Research ◽  
Is Research ◽  
Research Activities ◽  
Medium Enterprises ◽  
Almost All

This article contends that design science research (DSR) has emerged as an important approach in information systems (IS) research. The design science research roadmap (DSRR) model describes the process of using the DSR in IS in great detail. Unfortunately, the existing literature does not address the task of demonstrating the use of the DSRR in detail by conducting a real case study. This article aims to examine the implementation of the DSRR with real IS research activities. The construction of a systematic innovation framework to solve problems for small and medium enterprises (SMEs) is used as a case study for demonstration purposes. This article shows that the DSRR provides very useful guidance, since it covers almost all the necessary steps to conduct DSR in the information systems field. The illustrations provided with each step of the DSRR in this article will help other researchers, especially novice researchers, to gain a comprehensive understanding of the use of the DSRR model.

Using a Design Science Research Approach in Human-Computer Interaction (HCI) Project

2017 ◽  
Vol 1 (2) ◽  
pp. 42-59
Author(s):  
Muhammad Nazrul Islam
Keyword(s):  
Human Computer Interaction ◽  
Process Model ◽  
Design Science ◽  
Science Research ◽  
Design Science Research ◽  
Lessons Learned ◽  
Research Approach ◽  
Research Knowledge ◽  
Web Interfaces ◽  
Computer Interaction

Design science is a problem-solving approach that focuses on how to develop and produce artifacts having desired properties. A Design Science Research (DSR) approach was followed to develop a Human-Computer Interaction (HCI) artifact (semiotic framework [Semiotic Interface sign Design and Evaluation – the SIDE framework]) to help practitioners to design and evaluate the web interfaces. The objective of this paper is to present how a DSR approach was adopted in a HCI project and to highlight what lessons were learned by adopting the DSR approach in developing a HCI artifact. This paper outlines how the principles and guidelines of DSR approach were adopted, while performing the activities of the DSR process model to construct the artifact. Lessons learned from this case study and their implications in HCI research are also discussed; that includes, for example, DSR provides higher level of procedural transparency, maintains the research rigor, create a bridge between the HCI and IS, provides established research knowledge base, support to claim both as an approach and a paradigm, and facilitates to employ both inductive and deductive design activities.

Theory-Based Problem Formulation and Ideation in mHealth Analysis and Recommendations

2022 ◽  
Vol 34 (4) ◽  
pp. 0-0
Keyword(s):  
Cognitive Mapping ◽  
Design Science ◽  
Stakeholder Analysis ◽  
Science Research ◽  
Problem Formulation ◽  
Design Science Research ◽  
Problem Analysis ◽  
Input Use ◽  
Kernel Theory

This article reports on an investigation into how to improve problem formulation and ideation in Design Science Research (DSR) within the mHealth domain. A Systematic Literature Review of problem formulation in published mHealth DSR papers found that problem formulation is often only weakly performed, with shortcomings in stakeholder analysis, patient-centricity, clinical input, use of kernel theory, and problem analysis. The study proposes using Coloured Cognitive Mapping for DSR (CCM4DSR) as a tool to improve problem formulation in mHealth DSR. A case study using CCM4DSR found that using CCM4DSR provided a more comprehensive problem formulation and analysis, highlighting aspects that, until CCM4DSR was used, weren’t apparent to the research team and which served as a better basis for mHealth feature ideation.

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