Ivan Belik

BIo

Ivan Belik is an Associate Professor at the Norwegian School of Economics (NHH) and a Fulbright Alumnus (2009-2011, USA). He did his MSc in Computer Science at the Southern Illinois University (IL, USA), partial studies at the University of New Mexico (Albuquerque, USA), and Ph.D. in Management Science at NHH. In addition, Ivan was a visiting researcher at the Ivey Business School (Western University, Canada). His research is focused on management science and organizational analysis with a special interest in interdisciplinary approaches and their real-life applications.

Selected publications

Author(s) Title Publisher
Belik, Ivan Book Chapter "Shapley-Based Analysis of the Leadership Formation in Social Networks" Analytics, Operations, and Strategic Decision Making in the Public Sector; page 357 - 390; 2019
Belik, Ivan; Jørnsten, Kurt A new Semi-Lagrangean Relaxation for the k-cardinality assignment problem Journal of Information and Optimization Sciences Volume 37 (1); page 75 - 100; 2016
Bienz, Carsten Gero; Knudsen, Eirik Sjåholm; Pohl, Walter; Belik, Ivan Artificial Intelligence and Data Regulations. Can stricter privacy laws provide a lifeline for European companies? Magma - Tidsskrift for økonomi og ledelse (8); page 55 - 62; 2019
Belik, Ivan; Jørnsten, Kurt Critical objective function values in linear sum assignment problems Journal of combinatorial optimization Volume 35 (3); page 842 - 852; 2017
Belik, Ivan; Jørnsten, Kurt The method of leader's overthrow in networks based on shapley value Socio-Economic Planning Sciences Volume 56; page 55 - 66; 2016
Belik, Ivan The analysis of split graphs in social networks based on the k-cardinality assignment problem International Journal of Network Science Volume 1 (1); page 53 - 62; 2016
More publications in Cristin
  • Time Series Analysis and Prediction
  • Analysis and Linear Algebra
  • Differential Equations with Stability Analysis of Dynamical Systems
  • Supply Chain Management
  • Algorithms and Data Structures
  • Discrete Mathematics
  • Applied Programming and Data Analysis for Business
  • Digital Auditing

Dissemination