设计科学研究的透明度

IF 6.7 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Alan R. Hevner , Jeffrey Parsons , Alfred Benedikt Brendel , Roman Lukyanenko , Verena Tiefenbeck , Monica Chiarini Tremblay , Jan vom Brocke
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引用次数: 0

摘要

研究透明度促进了科学研究过程、证据、贡献和影响的公开性和信任度。信息系统 (IS) 作为一个多元化的研究团体,必须在使用适合复杂社会技术背景和具有挑战性的研究问题的多种研究方法时解决透明度问题。本评论为设计科学研究(DSR)界提出了一系列重要的透明度挑战和可操作的指南。我们提出了一个包含六种透明度形式的 DSR 透明度框架:过程、问题空间、解决方案空间、构建、评估和贡献。对于每一种形式,我们都讨论了其面临的挑战,并为在整个出版过程中实现有效的设计科学研究透明度提供了指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Transparency in design science research

Research transparency promotes openness and trust in the process, evidence, contributions, and implications of scientific inquiry. Information Systems (IS), as a pluralistic research community, must address transparency in relation to its use of multiple research methods appropriate to complex socio-technical contexts and challenging research questions. This commentary presents a set of important transparency challenges and actionable guidance for the Design Science Research (DSR) community. We propose a DSR Transparency Framework containing six forms of transparency: process, problem space, solution space, build, evaluation, and contribution. For each, we discuss challenges with guidance to achieve effective DSR transparency throughout the publication process.

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来源期刊
Decision Support Systems
Decision Support Systems 工程技术-计算机:人工智能
CiteScore
14.70
自引率
6.70%
发文量
119
审稿时长
13 months
期刊介绍: The common thread of articles published in Decision Support Systems is their relevance to theoretical and technical issues in the support of enhanced decision making. The areas addressed may include foundations, functionality, interfaces, implementation, impacts, and evaluation of decision support systems (DSSs).
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