TY - CHAP A1 - Bensberg, Frank A1 - Auth, Gunnar A1 - Czarnecki, Christian A1 - Wörndle, Christopher ED - Kemal İlter, H. T1 - Transforming literature-intensive research processes through text analytics – design, implementation and lessons learned N2 - The continuing growth of scientific publications raises the question how research processes can be digitalized and thus realized more productively. Especially in information technology fields, research practice is characterized by a rapidly growing volume of publications. For the search process various information systems exist. However, the analysis of the published content is still a highly manual task. Therefore, we propose a text analytics system that allows a fully digitalized analysis of literature sources. We have realized a prototype by using EBSCO Discovery Service in combination with IBM Watson Explorer and demonstrated the results in real-life research projects. Potential addressees are research institutions, consulting firms, and decision-makers in politics and business practice. KW - Text analytics KW - Text mining KW - Literature review KW - Research process Y1 - 2018 U6 - http://dx.doi.org/10.6084/m9.figshare.7582073.v1 N1 - 5th International Management Information Systems Conference. October 24-26 2018, Ankara ER -