Fischer Cornelia, Gugerell Katharina, Laa Ursula, Jacobsen Jannik, Penker Marianne
Department of Economics and Social Sciences, BOKU University, Vienna, Austria.
Department of Landscape, Water and Infrastructure, BOKU University, Vienna, Austria.
Humanit Soc Sci Commun. 2025;12(1):1395. doi: 10.1057/s41599-025-05634-w. Epub 2025 Aug 26.
Transdisciplinary research presents a promising approach to addressing complex societal challenges by integrating scientific and experiential knowledge in joint learning processes. Transdisciplinary methods are crucial for supporting knowledge integration by enabling actors from within and outside academia to evaluate their expertise, share insights, and co-create innovative solutions. Despite growing interest in transdisciplinary methods, their effectiveness remains under-researched, mainly due to a lack of standardized instruments to measure their contribution to knowledge integration. This gap is particularly significant given that the usefulness of transdisciplinary methods depends on knowledge integration as a multidimensional, iterative process that fosters learning without predetermined outcomes. In this study, a novel scale was developed and tested empirically to assess the contribution of transdisciplinary methods to knowledge integration. The scale development process involved a systematic review of 48 literature sources, which synthesized over 300 statements into 34 items. These items were tested in workshops with 71 participants using two different transdisciplinary methods: transdisciplinary scenario building and serious game development. The participants represented expertise from three academic disciplines and experiential knowledge from the dairy and meat supply chains as well as game development. Exploratory factor analysis revealed two distinct dimensions of knowledge integration: a socio-emotional factor and a cognitive-communicative factor. This finding resulted in a refined 25-item scale. The scale was then employed to compare the two transdisciplinary methods, thereby providing an instrument for comparative analysis of their respective contributions to knowledge integration. The article also underscores the scale's limitations and offers recommendations for future scale refinement. By improving the methodological basis for measuring transdisciplinary methods, this research contributes to the ongoing improvement of transdisciplinary research.
跨学科研究提出了一种很有前景的方法,通过在联合学习过程中整合科学知识和经验知识来应对复杂的社会挑战。跨学科方法对于支持知识整合至关重要,它能使学术界内外的参与者评估自身专业知识、分享见解并共同创造创新解决方案。尽管人们对跨学科方法的兴趣与日俱增,但其有效性仍未得到充分研究,主要原因是缺乏衡量其对知识整合贡献的标准化工具。鉴于跨学科方法的有效性取决于知识整合这一多维、迭代的过程,该过程促进学习且无预先确定的结果,这一差距尤为显著。在本研究中,开发了一种新颖的量表并进行了实证测试,以评估跨学科方法对知识整合的贡献。量表开发过程涉及对48篇文献来源进行系统综述,将300多条陈述综合为34个项目。这些项目在有71名参与者的研讨会上使用两种不同的跨学科方法进行了测试:跨学科情景构建和严肃游戏开发。参与者代表了三个学术学科的专业知识以及乳制品和肉类供应链及游戏开发方面的经验知识。探索性因素分析揭示了知识整合的两个不同维度:社会情感因素和认知交流因素。这一发现产生了一个精简为25个项目的量表。然后使用该量表比较这两种跨学科方法,从而为比较分析它们对知识整合的各自贡献提供了一种工具。本文还强调了该量表的局限性,并为未来量表的完善提供了建议。通过改进衡量跨学科方法的方法基础,本研究有助于不断完善跨学科研究。