Self-reporting Limitations in Information Systems Design Science Research

Detalhes bibliográficos
Autor(a) principal: Barata, João
Data de Publicação: 2022
Outros Autores: Cunha, Paulo Rupino da, Figueiredo, António Dias de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: https://hdl.handle.net/10316/113781
https://doi.org/10.1007/s12599-022-00782-8
Resumo: Besides increasing transparency and demonstrating awareness of the author, self-reported limitations enable other researchers to effectively learn from, build on, validate, and extend the original work. However, this topic is understudied in information systems design science research (IS DSR). The study has assessed 243 IS DSR papers published in the period 2013–2022 and built a typology of the 19 most relevant limitations, organized into four categories: (1) Input Knowledge and Technology, (2) Research Process, (3) Resulting Artifact, and (4) Design Knowledge. Further, the contribution suggests actions to mitigate each type of limitation throughout the entire IS DSR project lifecycle. The authors have also created guidelines to report the limitations in a useful way for knowledge accumulation. The proposed typology and guidelines enable reviewers and editors to better frame self-reported limitations, assess rigor and relevance more systematically, and provide more precise feedback. Moreover, the contribution may help design researchers identify, mitigate, and effectively communicate the uncertainties inherent to all scientific advances.
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spelling Self-reporting Limitations in Information Systems Design Science ResearchLimitationsDesign science researchKnowledge accumulationResearch methodsReporting guidelinesResearch uncertaintyBesides increasing transparency and demonstrating awareness of the author, self-reported limitations enable other researchers to effectively learn from, build on, validate, and extend the original work. However, this topic is understudied in information systems design science research (IS DSR). The study has assessed 243 IS DSR papers published in the period 2013–2022 and built a typology of the 19 most relevant limitations, organized into four categories: (1) Input Knowledge and Technology, (2) Research Process, (3) Resulting Artifact, and (4) Design Knowledge. Further, the contribution suggests actions to mitigate each type of limitation throughout the entire IS DSR project lifecycle. The authors have also created guidelines to report the limitations in a useful way for knowledge accumulation. The proposed typology and guidelines enable reviewers and editors to better frame self-reported limitations, assess rigor and relevance more systematically, and provide more precise feedback. Moreover, the contribution may help design researchers identify, mitigate, and effectively communicate the uncertainties inherent to all scientific advances.Springer Nature2022info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://hdl.handle.net/10316/113781https://hdl.handle.net/10316/113781https://doi.org/10.1007/s12599-022-00782-8eng2363-70051867-0202https://rdcu.be/dHTRqBarata, JoãoCunha, Paulo Rupino daFigueiredo, António Dias deinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-06-27T15:51:59Zoai:estudogeral.uc.pt:10316/113781Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T06:06:38.825752Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Self-reporting Limitations in Information Systems Design Science Research
title Self-reporting Limitations in Information Systems Design Science Research
spellingShingle Self-reporting Limitations in Information Systems Design Science Research
Barata, João
Limitations
Design science research
Knowledge accumulation
Research methods
Reporting guidelines
Research uncertainty
title_short Self-reporting Limitations in Information Systems Design Science Research
title_full Self-reporting Limitations in Information Systems Design Science Research
title_fullStr Self-reporting Limitations in Information Systems Design Science Research
title_full_unstemmed Self-reporting Limitations in Information Systems Design Science Research
title_sort Self-reporting Limitations in Information Systems Design Science Research
author Barata, João
author_facet Barata, João
Cunha, Paulo Rupino da
Figueiredo, António Dias de
author_role author
author2 Cunha, Paulo Rupino da
Figueiredo, António Dias de
author2_role author
author
dc.contributor.author.fl_str_mv Barata, João
Cunha, Paulo Rupino da
Figueiredo, António Dias de
dc.subject.por.fl_str_mv Limitations
Design science research
Knowledge accumulation
Research methods
Reporting guidelines
Research uncertainty
topic Limitations
Design science research
Knowledge accumulation
Research methods
Reporting guidelines
Research uncertainty
description Besides increasing transparency and demonstrating awareness of the author, self-reported limitations enable other researchers to effectively learn from, build on, validate, and extend the original work. However, this topic is understudied in information systems design science research (IS DSR). The study has assessed 243 IS DSR papers published in the period 2013–2022 and built a typology of the 19 most relevant limitations, organized into four categories: (1) Input Knowledge and Technology, (2) Research Process, (3) Resulting Artifact, and (4) Design Knowledge. Further, the contribution suggests actions to mitigate each type of limitation throughout the entire IS DSR project lifecycle. The authors have also created guidelines to report the limitations in a useful way for knowledge accumulation. The proposed typology and guidelines enable reviewers and editors to better frame self-reported limitations, assess rigor and relevance more systematically, and provide more precise feedback. Moreover, the contribution may help design researchers identify, mitigate, and effectively communicate the uncertainties inherent to all scientific advances.
publishDate 2022
dc.date.none.fl_str_mv 2022
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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https://hdl.handle.net/10316/113781
https://doi.org/10.1007/s12599-022-00782-8
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https://doi.org/10.1007/s12599-022-00782-8
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https://rdcu.be/dHTRq
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