Data analytics

Business and data analytics in sports

Tomislav Globan, PhD

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Workshop goals

The purpose of this workshop is to develop and implement analytical skills using the data from the sports industry. In order to effectively use data analytical tools, students will first be introduced to some basic concepts of sports business and economics, such as sports clubs major sources of revenue and costs, how clubs decide on the prices of tickets of sports events, what is the role of TV broadcasting and social media in clubs’ business performance, and what are the differences between European and US sports business models. The second part of the workshop involves hands-on computer exercises using real data from the world of sports. By analyzing the actual data on player salaries, club revenues, and match attendance, students will be able to develop the understanding of what drives the volume of transfer fees in the football transfer market, what determines the stadium attendance for sports matches, how ticket prices of sports events are determined, how competitively (un)balanced various leagues are, etc.

Lecturer's short biography

Tomislav Globan is Associate Professor at the University of Zagreb, with scientific and professional expertise in the field of sports economics. He has received a number of international and domestic awards for scientific excellence, and is the head of the MacroHub research centre at the Faculty of Economics & Business. He was a visiting researcher at WIIW Institute Vienna, UNC Charlotte, and had professional training at the University of Cambridge and University of Surrey. He was the principal investigator and project member in domestic and international scientific projects, and has years of experience in teaching courses in English at Bachelor and Master level for international students at WU Wien, Kyungpook National University, UNC Charlotte and the University of Zagreb.


Data analytics with R Studio and Stata

Josip Arnerić, PhD

Anita Čeh Časni, PhD

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Workshop goals

This workshop is an introduction to the programming language R and Stata, focused on a powerful set of tools which enable importing and uploading structured data from public sources into R Studio or Stata directly. Manipulation, organization, visualization and the analysis of actual datasets with respect to commonly used methods, in line with their properties, are the major objectives. This workshop is suitable for those without previous experience in performing data analysis with R or Stata, as well as for those who want to be acquainted with the most recent developments and capabilities of R and Stata in handling large datasets. Intuitive, informative and data-driven approach in combining R and Stata, supported by practical work and worked-out examples, make this workshop useful for participants in improving their data analytics and statistical computing skills. R has become increasingly popular and remains a top open-source language for many academics and practitioners in delivering robust, reliable, and accurate data analytics.

Lecturer's short biography

Josip Arnerić is Associate Professor at the Department of Statistics, Faculty of Economics and Business, University of Zagreb. He is a Section Editor of CRORR journal and editorial board member of Proceedings of Rijeka Faculty of Economics and Croatian Review of Economic, Business and Social Statistics. He is the head of R Club at Croatian Statistical Association. He was a project manager of Croatian Science Foundation. His field of interest are financial econometrics, time-series analysis, stochastic processes and neural networks. He is a member of American Statistical Association, he has attended numerous international conferences and has collaborated with other universities (Faculty of Economics in Split, Rijeka and Mostar as well as Shanghai University of International Business and Economics in China and Ruhr University Bochum in Germany). So far, he has successfully supervised three PhD candidates.

Anita Čeh Časni is Associate Professor at the Department of Statistics, Faculty of Economics and Business, University of Zagreb, where she obtained her PhD in 2013. She is a Vice Head of the Department of Statistics at the Faculty of Economics and Business and a Secretary of Croatian Statistical Association. Apart from teaching at both Croatian and international EPAS accredited study programme (BDiB), she has published numerous scientific papers in respectable international journals. Additionally, she is a researcher on 3 COST actions, one ERASMUS+ project (Higher Education Curricula Development on the Collaborative Economy in Europe - COLECO) and scientific project financed by the Croatian Scientific Foundation. She has recently become a Vice director of Institute for Euro-Asian Studies thus promoting international cooperation between the Faculty of Economics and Business and Euro-Asian countries. Her research interests include applied statistical methods in tourism and macroeconomics, panel data analysis, housing economics, sustainability and educational statistics.


Applied international finance

Mile Bošnjak, PhD

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Workshop goals

Workshop objectives are to provide deeper insights into contemporary issues in international finance and corresponding empirical approaches. The main goal is to select and employ appropriate empirical approaches for international finance topics. Having completed the workshop, students will be able select and employ appropriate empirical approaches on theories of international finance in order to derive conclusions about issues in international finance. Workshop description: Foreign exchange market and its efficiency. Real exchange rate. Foreign exchange rate regimes and policies. Foreign exchange reserves. Cryptocurrency market and its efficiency. Auto regression, definition of unit root in exchange rate series, testing unit root in exchange rate series. Implications of unit root. Baseline regression model and estimators. Quantile regression and auto regression. Leptokurtosis and conditional heteroscedasticity in financial time series, Concepts of balance of payments and its sustainability. Approaches to balance of payment adjustment. Internal and external equilibrium of an economy. Cointegration in economic time series. Introduction to Bayesian time series econometrics.


Lecturer's short biography

Mile Bošnjak, PhD is Assistant Professor and senior research associate at the Faculty of Economics and Business, University of Zagreb. He acquired master degree in computer science from the Faculty of Electrical Engineering and Computing, University of Zagreb, and a PhD degree (2014) in economics from the Faculty of Economics and Business, University of Zagreb. He has served as Chief Risk Officer (CRO) within a number of financial institutions in Croatia for more than ten years. He teaches international economics at the University of Zagreb (Croatia) and statistics at the University of Mostar (Bosnia and Herzegovina) as visiting professor. He was awarded for his work with prestigious awards. His research interests are in International Economics and Finance, Econometrics, Time Series Analysis, Bayesian Econometrics and Deep Learning Algorithms.


Neuromarketing

Ivana Pavlić , PhD

Barbara Puh , PhD

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Workshop goals

The aim of this workshop is to introduce neuromarketing as a new marketing paradigm. This workshop analyses human behaviour and decision making by using different neuromarketing biometric tools (eye tracking, facial expression, electroencephalography (EEG) and electrodermal activity (EDA/GSR) that go beyond standard methods of data collection like surveys and focus groups. The second part of the workshop will include hands-on computer exercises to learn how to properly use equipment and stimuli and how to analyse the data in order to define how respondents make their decisions.


Lecturer's short biography

Ivana Pavlić is full professor at the Department of Economics and Business, University of Dubrovnik. She defended her PhD thesis at the Faculty of Economics, Josip Juraj Strossmayer University in Osijek in 2007. She teaches at all study levels at the University of Dubrovnik. Since 2013/2014 she has participated in the Integrated Marketing Communication course at the postgraduate interdisciplinary doctoral study Communicology, at Josip Juraj Strossmayer University of Osijek. She has participated in several scientific and professional projects and has been a member of a number of programs, scientific and organizational committees at international scientific conferences. She has participated in many international scientific conferences on tourism and marketing. She is a member of the editorial board of scientific journal „Economic Thought and Practice". She has reviewed over 50 papers for numerous scientific journals and book of proceedings from international scientific conferences. In her current scientific and professional work, she has published independently and co-authored more than 60 papers in the field of tourism and marketing. She has spent three months on vocational training at the University of Perugia in Italy (EU Tempus programme). She also spent time at Leeds Metropolitan University in the United Kingdom in 2011, Hebrew University in Israel in 2018 and Rongo University in Kenya in 2019, as a part of the Erasmus Mobility and Lifelong Learning Programme. She is member of the Croatian Marketing Association CROMAR and the Croatian Economic Association HDE. The main areas of her expertise are tourism economics, consumer behaviour and marketing research.

Barbara Puh is an assistant professor at the Department of Economics and Business, University of Dubrovnik. She defended PhD thesis at the Faculty of Economics, University in Split in 2013. She teaches courses in the fields of marketing and tourism. Areas of scientific and research interest are marketing research, consumer behaviour and branding. She actively participates in research work and projects from these areas, and has published independently and co-authored more than 25 scientific and professional papers in domestic and international journals. She is a member of the Croatian Marketing Association CROMAR.