
University of Zagreb, Faculty of Economics and Business
University of Zagreb, Faculty of Economics and Business
Funder
61 Projects, page 1 of 13
assignment_turned_in Project2007 - 2009Partners:University of Zagreb, Faculty of Economics and Business, Ekonomski fakultet, Zagreb, UNIZGUniversity of Zagreb, Faculty of Economics and Business,Ekonomski fakultet, Zagreb,UNIZGFunder: Ministry of Science, Education and Sports of the Republic of Croatia (MSES) Project Code: 067-0000000-3349more_vert assignment_turned_in Project2020 - 2025Partners:University of Zagreb, Faculty of Economics and Business, Ekonomski fakultet, Zagreb, UNIZGUniversity of Zagreb, Faculty of Economics and Business,Ekonomski fakultet, Zagreb,UNIZGFunder: Croatian Science Foundation (CSF) Project Code: UIP-2019-04-3580Funder Contribution: 1,246,630 HRKmore_vert assignment_turned_in Project2015 - 2019Partners:University of Zagreb, Faculty of Economics and Business, UNIZG, Ekonomski fakultet, ZagrebUniversity of Zagreb, Faculty of Economics and Business,UNIZG,Ekonomski fakultet, ZagrebFunder: Croatian Science Foundation (CSF) Project Code: IP-2014-09-3729Funder Contribution: 226,000 HRKThe aim of the PROSPER project is to examine the adoption of the process intelligence (PI) and business intelligence (BI) in organizations, as well as to foresee their impact on business performance using cutting-edge technologies (e.g. business process management systems, data mining, simulation software) and research approach (e.g. cross-cultural research, structural equation modelling) with the assistance of multi-country (Croatia, Slovenia, Austria, Bosnia and Herzegovina) and interdisciplinary team of university researchers. The project is multidisciplinary and multi-levelled due to the hierarchical structure of its objectives. At the highest level (L1), the adoption and maturity of PI and BI will be explored in organizations in Croatia, Slovenia, Bosnia and Herzegovina and Austria. A quantitative empirical research results will be analysed using regression and factor analysis. At the middle level (L2), the impact of critical factors (e.g. organizational culture and structure) on PI and BI adoption will be analyzed. L2 research results will be explored using qualitative (e.g. case study, semi-structured interviews) and quantitative methods (e.g. structural equation modelling), the goal being development of the process performance measurement model. At the third level (L3), the practical applicability of the L1 and L2 research results will be tested and evaluated using specific business cases in PI and BI adoption for business performance. Models will be developed for the usage of BI in some specific business cases and industries, with the goal of increasing business performance.
more_vert assignment_turned_in Project2007 - 2009Partners:UNIZG, Ekonomski fakultet, Zagreb, University of Zagreb, Faculty of Economics and BusinessUNIZG,Ekonomski fakultet, Zagreb,University of Zagreb, Faculty of Economics and BusinessFunder: Ministry of Science, Education and Sports of the Republic of Croatia (MSES) Project Code: 067-0672288-2492more_vert assignment_turned_in Project2007 - 2009Partners:UNIZG, Ekonomski fakultet, Zagreb, University of Zagreb, Faculty of Economics and BusinessUNIZG,Ekonomski fakultet, Zagreb,University of Zagreb, Faculty of Economics and BusinessFunder: Ministry of Science, Education and Sports of the Republic of Croatia (MSES) Project Code: 067-0661686-2342more_vert
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