{"title":"设计科学研究中的可靠性","authors":"Veda C. Storey, Richard L. Baskerville, Mala Kaul","doi":"10.1111/isj.12564","DOIUrl":null,"url":null,"abstract":"<p>Reliability, which is concerned with whether something performs as it should, is well-accepted as an important part of any scientific research, with recognised methods for assessing it in the natural sciences. Reliability is a prerequisite for validity, which assesses knowledge production. Design science research is unique in that it produces an artefact and makes contributions to a design knowledge base and is tasked with the duality of design and science. Therefore, reliability should be reconsidered to address the assumptions underlying this type of information systems research.</p><p>This paper proposes a <i>Design Science Reliability Framework.</i> The framework identifies the part of design science research that should be evaluated (artefact, methods, measures and design knowledge). It also considers when reliability should be assessed as a project progresses by differentiating synchronic versus diachronic evaluation. The framework is used to derive a set of techniques for establishing reliability that can be applied during the evaluation process to both a project's knowledge production and its artefacts. Application of the framework should assist design science researchers when considering how to assess their results.</p>","PeriodicalId":48049,"journal":{"name":"Information Systems Journal","volume":"35 3","pages":"984-1014"},"PeriodicalIF":6.5000,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Reliability in design science research\",\"authors\":\"Veda C. Storey, Richard L. Baskerville, Mala Kaul\",\"doi\":\"10.1111/isj.12564\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Reliability, which is concerned with whether something performs as it should, is well-accepted as an important part of any scientific research, with recognised methods for assessing it in the natural sciences. Reliability is a prerequisite for validity, which assesses knowledge production. Design science research is unique in that it produces an artefact and makes contributions to a design knowledge base and is tasked with the duality of design and science. Therefore, reliability should be reconsidered to address the assumptions underlying this type of information systems research.</p><p>This paper proposes a <i>Design Science Reliability Framework.</i> The framework identifies the part of design science research that should be evaluated (artefact, methods, measures and design knowledge). It also considers when reliability should be assessed as a project progresses by differentiating synchronic versus diachronic evaluation. The framework is used to derive a set of techniques for establishing reliability that can be applied during the evaluation process to both a project's knowledge production and its artefacts. Application of the framework should assist design science researchers when considering how to assess their results.</p>\",\"PeriodicalId\":48049,\"journal\":{\"name\":\"Information Systems Journal\",\"volume\":\"35 3\",\"pages\":\"984-1014\"},\"PeriodicalIF\":6.5000,\"publicationDate\":\"2024-11-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Information Systems Journal\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/isj.12564\",\"RegionNum\":2,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"INFORMATION SCIENCE & LIBRARY SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Systems Journal","FirstCategoryId":"91","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/isj.12564","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
Reliability, which is concerned with whether something performs as it should, is well-accepted as an important part of any scientific research, with recognised methods for assessing it in the natural sciences. Reliability is a prerequisite for validity, which assesses knowledge production. Design science research is unique in that it produces an artefact and makes contributions to a design knowledge base and is tasked with the duality of design and science. Therefore, reliability should be reconsidered to address the assumptions underlying this type of information systems research.
This paper proposes a Design Science Reliability Framework. The framework identifies the part of design science research that should be evaluated (artefact, methods, measures and design knowledge). It also considers when reliability should be assessed as a project progresses by differentiating synchronic versus diachronic evaluation. The framework is used to derive a set of techniques for establishing reliability that can be applied during the evaluation process to both a project's knowledge production and its artefacts. Application of the framework should assist design science researchers when considering how to assess their results.
期刊介绍:
The Information Systems Journal (ISJ) is an international journal promoting the study of, and interest in, information systems. Articles are welcome on research, practice, experience, current issues and debates. The ISJ encourages submissions that reflect the wide and interdisciplinary nature of the subject and articles that integrate technological disciplines with social, contextual and management issues, based on research using appropriate research methods.The ISJ has particularly built its reputation by publishing qualitative research and it continues to welcome such papers. Quantitative research papers are also welcome but they need to emphasise the context of the research and the theoretical and practical implications of their findings.The ISJ does not publish purely technical papers.