University of Münster
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Profile picture of Dr. Lukas Aaldering

Dr. Lukas Jan Aaldering

No current affiliations available for this person. The person is no longer active at the university.

Curriculum Vitae (CV)

Research Focus

  • Data Science, Data Visualization, Innovation Management

Academic Education

07/2016 - 06/2019Doctoral Studies in Business Chemistry at the University of Münster
2013 - 2015Studies of Biotechnology at the University of Münster (M.Sc.)
2010 - 2013Studies of Life Science at the University of Münster (B.Sc.)

Work Experience

04/2016 - 12/2018Consulting project leader at the Febotec GmbH
04/2016 - 06/2016Internship at the BCNP Consultants GmbH

Publications

Analysis of technological knowledge stock and prediction of its future development potential: The case of lithium-ion batteries
Aaldering Lukas Jan, Leker Jens, Song Chie Hoon (2019)
In: Journal of Cleaner Production, 2019(223), 301-311. doi:10.1016/j.jclepro.2019.03.174
Research article (journal) | Peer reviewed | online first
Recommending untapped M&A opportunities: A combined approach using principal component analysis and collaborative filtering
Aaldering L, Leker J, Song CH (2019)
In: Expert Systems with Applications, 125, 221-232. doi:10.1016/j.eswa.2019.02.004
Research article (journal) | Peer reviewed | Published
Competition or collaboration? – Analysis of technological knowledge ecosystem within the field of alternative powertrain systems: A patent-based approach
Aaldering Lukas Jan, Leker Jens, Song Chie Hoon (2019)
In: Journal of Cleaner Production, 212, 362-371. doi:10.1016/j.jclepro.2018.12.047
Research article (journal) | Peer reviewed | Published
Uncovering the dynamics of market convergence through M&A
Aaldering LJ, Leker J, Song CH (2019)
In: Technological Forecasting and Social Change, 138, 95-114. doi:10.1016/j.techfore.2018.08.012
Research article (journal) | Peer reviewed | Published
Analyzing the impact of industry sectors on the composition of business ecosystem: A combined approach using ARM and DEMATEL
Aaldering LJ, Leker J, Song CH (2018)
In: Expert Systems with Applications, 100, 17-29. doi:10.1016/j.eswa.2018.01.045
Research article (journal) | Peer reviewed | Published
Show all publications (13)

Doctorates

Understanding Dynamic Business Environments – Data-driven approaches for high-tech industries
Candidate: Aaldering, Lukas | Supervisors: Leker, Jens
Period of time: until 13/06/2019
Doctoral examination procedure finished at: Doctoral examination procedure at University of Münster