Knowledge Integration: Its Meaning and Measurement

Rousseau, Ronald; Zhang, Lin; Hu, Xiaojun

doi:10.1007/978-3-030-02511-3_3

Cited by 31 publications

(49 citation statements)

References 98 publications

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“…The members of an interdisciplinary project team can belong to different scienti c realms as well as to different schools of thought, different regions etc. (De la and Di Giulio 2015, Rousseau et al 2019). We work with a pragmatic understanding of scienti c knowledge de ned as scienti cally valid representation(s) of the world.…”

Section: Literature Review and Derived Forms Of Interdisciplinary Knomentioning

confidence: 96%

“…The setting of the type of research we are presenting is interdisciplinary [2] and requires "a synthesis of ideas, data and information, methods, tools, concepts, and/or theories from two or more disciplines aimed at answering a complex question, solving a complex problem, or producing new knowledge or a product of knowledge" (Klein 2012:286). Although interdisciplinary research can also be realized by individuals (Bammer 2012, Rousseau et al 2019, we focus on the research of a team, which is considerably different regarding the operationalization of a project and also the challenges an interdisciplinary team has to handle (De la and Di Giulio 2015). The members of an interdisciplinary project team can belong to different scienti c realms as well as to different schools of thought, different regions etc.…”

Section: Literature Review and Derived Forms Of Interdisciplinary Knomentioning

confidence: 99%

“…The integration of knowledge is seen by many scholars as being the key to interdisciplinary research (see also Hinkel 2008, Schuitema and Sintov 2017, Rousseau et al 2019). It can be de ned as the blending of concepts and perspectives "to create innovative new worldviews" (Newell et al 2005:299).…”

Section: Literature Review and Derived Forms Of Interdisciplinary Knomentioning

confidence: 99%

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Linking qualitative scenarios with quantitative energy models. Knowledge integration in different methodological designs.

Prehofer

Kosow

Naegler

et al. 2021

Preprint

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BackgroundLinking qualitative scenarios with quantitative models is a common approach to integrate assumptions on possible future societal contexts into modeling. But reflection on how and to what degree knowledge is effectively integrated during this endeavor does not generally take place. In this paper, we reflect on the performance of a specific hybrid scenario approach (qualitative Cross-Impact Balance analysis linked with quantitative energy models) concerning knowledge integration through eleven different process steps. In order to guide the scenario community in applying this approach, we reflect on general methodological features as well as different design options. We conceptualize different forms of interdisciplinary knowledge integration (compiling, combining and synthesizing) and analyze how and to what degree knowledge about society and uncertainty are integrated into scenario process and products. In addition, we discuss trade-offs regarding design choices and forms of knowledge integration.ResultsOn the basis of three case studies we identify two general designs of linking which build on each other (basic and extended design) and which differ in essence regarding the balance of power between the CIB and the energy modeling. Ex-post assessment of the form of interdisciplinary knowledge integration in each step revealed that specific method properties of CIB as well as the interaction with additional quantitative as well as specific qualitative methods foster distinct forms of knowledge integration. The specific roles assigned to CIB in the hybrid scenario process can also influence the form of knowledge integration. ConclusionsIn this study, we use a joint process scheme linking qualitative context scenarios with energy modeling. By applying our conceptualization of different forms of knowledge integration we analyze the designs´ respective potential for and respective effects on knowledge integration. Consequently, our findings can give guidance to those who are designing their own hybrid scenario processes. As this is an explorative study, many roads for further empirical research are indicated. Finally, we note that at some points in the process a more precise differentiation of knowledge integration forms would have been useful and propose to further differentiate and detail the three forms of interdisciplinary knowledge integration in future research.

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Section: Literature Review and Derived Forms Of Interdisciplinary Knomentioning

confidence: 96%

Section: Literature Review and Derived Forms Of Interdisciplinary Knomentioning

confidence: 99%

Section: Literature Review and Derived Forms Of Interdisciplinary Knomentioning

confidence: 99%

See 1 more Smart Citation

Linking qualitative scenarios with quantitative energy models. Knowledge integration in different methodological designs.

Prehofer

Kosow

Naegler

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Although Leydesdorff et al (2019) adopted the total number of categories ( N ) as the number of journals in the same discipline, we argue that it does not fit for the meaning of diversity, as diversity could reveal interdisciplinarity, so its variety ought to be based on all scientific disciplines. One solution to deal with the scope of DIV variety is put forward by Rousseau, Zhang, and Hu (2019) that removes N from the DIV variety formula. In this paper, we remain N so the value is linear to the formula of Rousseau et al (2019) and does not affect the ranking order of each journal.…”

Section: Related Workmentioning

confidence: 99%

“…One solution to deal with the scope of DIV variety is put forward by Rousseau, Zhang, and Hu (2019) that removes N from the DIV variety formula. In this paper, we remain N so the value is linear to the formula of Rousseau et al (2019) and does not affect the ranking order of each journal. Meanwhile, our DIV formula can still be limited between zero and one while the diversity value of Rousseau's revised formula has no upper limit.…”

Section: Related Workmentioning

confidence: 99%

Topic diversity: A discipline scheme‐free diversity measurement for journals

et al. 2020

Asso for Info Science & Tech

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Scientometrics has many citation‐based measurements for characterizing diversity, but most of these measurements depend on human‐designed categories and the granularity of discipline classifications sometimes does not allow in‐depth analysis. As such, the current paper proposes a new measurement for quantifying journals' diversity by utilizing the abstracts of scientific publications in journals, namely topic diversity (TD). Specifically, we apply a topic detection method to extract fine‐grained topics, rather than disciplines, in journals and adapt certain diversity indicators to calculate TD. Since TD only needs as inputs abstracts of publications rather than citing relationships between publications, this measurement has the potential to be widely used in scientometrics.

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Are social sciences becoming more interdisciplinary? Evidence from publications 1960–2014

Zhou

Guns

Engels

2022

Asso for Info Science & Tech

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Interdisciplinary research is widely recognized as necessary to tackle some of the grand challenges facing humanity. It is generally believed that interdisciplinarity is becoming increasingly prevalent among Science, Technology, Engineering, and Mathematics (STEM) fields. However, little is known about the evolution of interdisciplinarity in the Social Sciences. Also, how interdisciplinarity and its various aspects evolve over time has seldom been closely quantified and delineated. This paper answers these questions by capturing the

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Knowledge Integration: Its Meaning and Measurement

Cited by 31 publications

References 98 publications

Linking qualitative scenarios with quantitative energy models. Knowledge integration in different methodological designs.

Linking qualitative scenarios with quantitative energy models. Knowledge integration in different methodological designs.

Topic diversity: A discipline scheme‐free diversity measurement for journals

Are social sciences becoming more interdisciplinary? Evidence from publications 1960–2014

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