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Mirjana-Pejic Bach

Prof. Mirjana-Pejic Bach

University of Zagreb - Faculty of Economics and Business

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Mirjana Pejić Bach is a full professor at the Department of Informatics, Faculty of Economics in Zagreb. She holds a PhD in system dynamics modeling from the Faculty of Economics, University of Zagreb. She was trained at the MIT Sloan School of Management in system dynamics and OliviaGroup in data mining. She is the leader and collaborator of numerous projects in which she cooperates with Croatian companies and international organizations, mainly through European Union projects and the bilateral research framework. Her research areas are the strategic application of information technology in business, data science, simulation modeling, research methodology, qualitative and quantitative, especially multivariate statistics, and modeling structural equations. She is the editor of several scientific journals indexed in Scopus and WoS and has organized several conferences and given plenary lectures at congresses, such as IEEE Systems. She has won several international awards for her scientific work, such as the Emerald Literati Network Awards for Excellence. She received the largest number of citations from the field of Artificial Intelligence & Image Processing. The main goal of her work is to support aspiring researchers through mentoring doctoral theses and developing their scientific careers.

Research Keywords & Expertise

Data Mining
Digital Divide
Finance
Statistics
Sustainability

Fingerprints

10%
Sustainability
9%
Data Mining
7%
Simulation
5%
Statistics
5%
Text Mining
5%
Finance

Short Biography

Mirjana Pejić Bach is a full professor at the Department of Informatics, Faculty of Economics in Zagreb. She holds a PhD in system dynamics modeling from the Faculty of Economics, University of Zagreb. She was trained at the MIT Sloan School of Management in system dynamics and OliviaGroup in data mining. She is the leader and collaborator of numerous projects in which she cooperates with Croatian companies and international organizations, mainly through European Union projects and the bilateral research framework. Her research areas are the strategic application of information technology in business, data science, simulation modeling, research methodology, qualitative and quantitative, especially multivariate statistics, and modeling structural equations. She is the editor of several scientific journals indexed in Scopus and WoS and has organized several conferences and given plenary lectures at congresses, such as IEEE Systems. She has won several international awards for her scientific work, such as the Emerald Literati Network Awards for Excellence. She received the largest number of citations from the field of Artificial Intelligence & Image Processing. The main goal of her work is to support aspiring researchers through mentoring doctoral theses and developing their scientific careers.