scholarly journals A Web-Based Information System to Evaluate Different Versions of IT Artefacts in Online Experiments

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Dennis M. Riehle ◽  
Stefan Fleischer ◽  
Jörg Becker
Keyword(s):  
Information System ◽  
Design Science ◽  
Science Research ◽  
Design Science Research ◽  
Web Based ◽  
Is Research ◽  
Research Cycle ◽  
Evaluation Phase ◽  
It Artifact ◽  
Infor Mation

Design science research is a common research method in the field of information systems (IS), as it bridges the gap between IS research and practice. The outcome of design science research are artifacts, which – besides others –can be prototypical applications, so-called IT artifacts. When such IT artifacts are evaluated as part of a design science research cycle, questionnaires and inter- views are a commonly used method. We have integrated the demonstration and evaluation phase of a web-based IT artifact, by developing a web-based infor- mation system which integrates both a web-based prototype with a questionnaire system. Our information system supports multiple studies, different versions of the IT artifact and several question-specific and participant-specific configura- tion options.

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.

scholarly journals Design Science Research: Evaluation in the Lens of Big Data Analytics

Systems ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 27 ◽  
Author(s):  
Ahmed Elragal ◽  
Moutaz Haddara
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Design Research ◽  
Research Evaluation ◽  
Design Science ◽  
Big Data Analytics ◽  
Science Research ◽  
Design Science Research ◽  
Evaluation Phase ◽  
New Type

Given the different types of artifacts and their various evaluation methods, one of the main challenges faced by researchers in design science research (DSR) is choosing suitable and efficient methods during the artifact evaluation phase. With the emergence of big data analytics, data scientists conducting DSR are also challenged with identifying suitable evaluation mechanisms for their data products. Hence, this conceptual research paper is set out to address the following questions. Does big data analytics impact how evaluation in DSR is conducted? If so, does it lead to a new type of evaluation or a new genre of DSR? We conclude by arguing that big data analytics should influence how evaluation is conducted, but it does not lead to the creation of a new genre of design research.

scholarly journals Easy-to-use TV guide for older people

2021 ◽  
Vol 13 (3) ◽  
Author(s):  
Konsta Rantakangas ◽  
Raija Halonen
Keyword(s):  
Older People ◽  
Mobile Application ◽  
Design Science ◽  
Science Research ◽  
Design Science Research ◽  
Web Based ◽  
Age Related ◽  
User Groups ◽  
Watching Tv ◽  
Modern Services

The increasing number of the older people is a global phenomenon, and this challenge is also seen in Finland. With the vast development of web-based services, the older people have faced a need to adapt new services as the traditional ‘at-desk’ services are getting rarer and less available. Due to their special needs compared to younger generations, the older people have more challenges to learn and use the modern services available to them. This situation has produced additional requirements to be noted when designing new solutions for the increasing amount of older user groups. The current paper presents an example of such a targeted solution with building a web-based solution for the older people to see what is shown on TV. The solution consists of a mobile application, and special attention was paid on the requirements related to the older people and their age-related restrictions. The output is a prototype, which was built by applying design science research. The age-related requirements for the solution were based on a literature review, and the prototype was planned to be used by the older people watching TV, having enough skills to use a mobile phone, and a television device that was controlled by a remote device.

Recording and Reporting a DSR Using C-K Design Theory

2019 ◽  
Author(s):  
Sivaramalingam Kirushanth ◽  
Boniface Kabaso
Keyword(s):  
Design Theory ◽  
Design Space ◽  
Design Science ◽  
Science Research ◽  
Design Science Research ◽  
Design Decisions ◽  
Is Research ◽  
K Theory ◽  
Prototype Design ◽  
Selection Of

Concept Knowledge (C-K) theory has been used in engineering and science-based research for more than a decade. Design of an Information Technology (IT) artefact is mostly pragmatic in nature. Design Science Research (DSR) methodology applied and studied in many Information Systems (IS) research. Many sub design decisions involved through the design of an IT artefact from a concept (idea) to a working prototype. A DSR artefact is based on a combination of decisions made during several sub-design stages. Artefacts are built based on the selection of elements in each sub-design space. Recording the design decisions on each sub-design space would be beneficial for future researchers. By knowing the design decisions on each sub-design space, researchers would be able to try different combinations of the design. C-K theory provides the ability to capture the design processes’ several sub-design spaces. In this paper, we discuss the DSR research methodology by looking at the stages proposed in the literature, and the application of C-K theory in an IT-based DSR. This paper also proposed a C-K theory-based protocol called Concept Tree for tracking and reporting artefact design steps. The application of C-K theory in DSR is exhibited using the implementation of the Concept Tree for a prototype design IT artefact.

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