University of Münster
CRIS@UM
DE | EN
Profile picture of Dr. Lukas Aaldering

Dr. Lukas Aaldering

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 The person is no longer active at the university.

Curriculum Vitae (CV)

  • 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

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