Conception and Interpretation of Interdisciplinarity in Research Practice: Findings from Group Discussions in the Emerging Field of Digital Transformation

Author:

Schmitt Josephine B.ORCID,Goldmann Anne,Simon Samuel T.,Bieber Christoph

Abstract

AbstractIn recent years, we have been observing the phenomenon of an emerging scientific field: digital transformation research (DTR). Due to the diversity and complexity of its object of research digital, transformation is not effectively researchable if confined to the boundaries of individual disciplines. In the light of Scientific/Intellectual Movement theory (Frickel and Gross 2005), we wonder how interdisciplinarity could and should be mobilized to further advance the development of the field of DTR. To answer this question, we (a) need to understand how interdisciplinarity is conceived and (b) how it is considered in research practice by researchers in the emerging field. This is important, as scientists’ application of interdisciplinarity will highly influence an emerging field, shape its growth, consolidation as well as its academic establishment. We conducted six group discussions with 26 researchers from different disciplines and career levels (PhD students, postdocs, professors). The discussions were studied with a structuring qualitative content analysis. The results reflect the vagueness of the concept of interdisciplinarity. Interdisciplinarity is largely conceived as multidisciplinarity. Further, the interviewees mentioned more challenges than opportunities when it comes to interdisciplinary DTR. The present study widens the scientific understanding about how researchers of different career levels perceive, learn, and practice interdisciplinarity in DTR. It further provides valuable indications of how interdisciplinary research in an emerging field can be profitably shaped for practice.

Publisher

Springer Science and Business Media LLC

Subject

General Social Sciences,Social Sciences (miscellaneous),Education

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Artificial Intelligence;Journal of Computers, Mechanical and Management;2023-08-31

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