2019
DOI: 10.24251/hicss.2019.694
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Towards Ontology-Based Design Science Research for Knowledge Accumulation and Evolution

Abstract: The potential of design science research (DSR) to contribute to real-world problem solving and innovation has been considered as an opportunity for IS researchers to demonstrate the relevance and significance of DSR paradigm. While most DSR studies have been informed single design and development projects, future research needs to consider knowledge sharing and accumulation across multiple projects. This paper argues for combining the forces of design science research and ontology studies to foster knowledge c… Show more

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Cited by 10 publications
(6 citation statements)
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References 27 publications
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“…Hevner et al claimed that DSR facilitate research in information systems to generate prescriptive knowledge [9]. Nguyen et al underlined DSR advantages to produce necessary artefacts following problem solving processes and knowledge construction [10]. Those advantages drive this study and adapt it to design a KSS since research in KM areas requires guideline to produce necessary artefacts in the KM context.…”
Section: Design Science Researchmentioning
confidence: 93%
“…Hevner et al claimed that DSR facilitate research in information systems to generate prescriptive knowledge [9]. Nguyen et al underlined DSR advantages to produce necessary artefacts following problem solving processes and knowledge construction [10]. Those advantages drive this study and adapt it to design a KSS since research in KM areas requires guideline to produce necessary artefacts in the KM context.…”
Section: Design Science Researchmentioning
confidence: 93%
“…The mission of DSR is to develop knowledge so that professionals design solutions to their empirical problems (Van Aken, 2005), supported by a rigorous and appropriate methodological approach (Lacerda et al. , 2013) based on the creation, resolution and evaluation of the effectiveness of artifacts (Nguyen et al. , 2019).…”
Section: Methodsmentioning
confidence: 99%
“…Проведений аналіз ряду наукових оглядів [13][14][15], що присвячені дослідженням з розв'язання визначеної проблеми, та наявним у доступі засобам управління семантичними моделями, висвітлив наступні важливі аспекти. Переважна більшість засобів управління онтологіями зорієнтована на процеси первинного створення семантичних моделей, вони передбачають переважно режим ручного введення даних і не передбачають ані моніторингу ступеню відповідності формальної онтологічної моделі КІС реальному стану системи, ані режимів автоматичного усунення семантичної неузгодженості.…”
Section: аналіз стану проблемиunclassified