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Torben Pedersen

Researcher at Bocconi University

Publications -  282
Citations -  15838

Torben Pedersen is an academic researcher from Bocconi University. The author has contributed to research in topics: Multinational corporation & Offshoring. The author has an hindex of 61, co-authored 241 publications receiving 14499 citations. Previous affiliations of Torben Pedersen include University of Copenhagen & Frederiksberg Hospital.

Papers
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Horizontal and Vertical Distance and Knowledge Sharing

TL;DR: In this paper, it was shown that horizontal and vertical distance among employees, respectively, is a function of location at a distance of the same horizontal space and location on different locations.
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Mining Seasonal Temporal Patterns in Big Time Series

TL;DR: This paper presents the first solution for seasonal temporal pattern mining (STPM) from time series that can mine STP at different data granularities, and an approximate version of STPM that uses mutual information, a measure of data correlation, to prune unpromising time series from the search space.
Posted Content

Large Firm Dynamics on the Nordic-Baltic Scene: Implications for Innovation and Growth

TL;DR: In this article, the authors investigated the role of the 30 largest firms in the Nordic countries and in Estonia over the last decade and for some variables between 1975 to 2006, and found that the largest firms play a critically important role for industrial dynamics in Nordic countries.
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Contextualizing AMO Explanations of Knowledge Sharing in MNEs: The Role of Organizational and National Culture

TL;DR: In this paper , a multi-level approach to knowledge sharing in multinational enterprises (MNEs) is presented, which includes the degree of ability in the sense of professional competence, intrinsic motivation, and opportunities to interact with colleagues in other business units (BUs).
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A prospective study of a urine and plasma biomarker test for the prediction of gleason ≥3 + 4 prostate cancer in a mixed cohort

TL;DR: A new urine and plasma biomarker test in detecting medium and high grade prostate cancer was able to predict the presence of medium-highgrade prostate cancer, thereby confirming earlier findings of the biomarkertest.