The 15th International Conference on Business Excellence
Digital Economy and New Value Creation
Digital Economy and New Value Creation
18-19 March 2021, Bucharest, Romania
“The best way to predict the future is to create it.” – Abraham Lincoln
Mini Track Chair:
Wolfgang Karl Härdle, C.A.S.E. – Centre for Applied Statistics and Economics School of Business and Economics Humboldt – Universitätzu Berlin, Germany
- Vasile Alecsandru STRAT, Bucharest University of Economic Studies, Bucharest
- Daniel Traian Pele, Bucharest University of Economic Studies
Data Science provides insight and understanding of large amount of unstructured and heterogeneous digital sources. Today’s business activities in the modern digital society produces masses of information that needs to be filtered, analysed and structured for prediction and modelling. Text mining, herding analysis and sentiment extraction are quantitative tools to augment forecasts in finance, banking and behavioral economics. Smart data analytics is the way to apply data science in a digital society.
In this track we aim at practitioners and academics that want to present tools and concepts of data science with a strong focus on applications and implementations.
We encourage submission of papers that address emerging needs and the impact of data science on the new digital society.
FinTech aims to improve the efficiency of financial systems using technology. FinTech bring several opportunities (competitive prices, better user experience, wider inclusion) but also risks (credit risks, market risks, cyber risks), amplified by the interconnectedness of FinTech platforms, which generates systemic risks.
We encourage submission of papers dealing with the following subject fields (but not limited to): Digital Banking, Internet Finance, Financial Inclusion, Asset Allocation, Impact Investment, Crypto Currency, Alternative Asset Management, Blockchain Technology, Robo Advising, Text Mining, P2P Financing, Financial Privacy Issues.
Wolfgang Karl HÄRDLE did 1982 his Dr.rer. nat. in Mathematics at Universität Heidelberg and 1988 his Habilitation at Universität Bonn. He is Ladislaus von Bortkieviecz chair professor of statistics, Humboldt-Universitätzu Berlin. He is director of the Sino German International Research Training Group IRTG1792 „High dimensional non stationary time series analysis“ (WISE, Xiamen University). His research focuses on dimension reduction techniques, computational statistics and quantitative finance. He has published over 30 books and more than 300 papers in top statistical, econometrics and finance journals. He is highly ranked and cited on Google Scholar, REPEC and SSRN. He has professional experience in financial engineering, smart data analytics, machine learning and cryptocurrency markets. He has created a financial risk meter FRMand a cryptocurrency index CRIX hu.berlin/frm and a cryptocurrency index CRIX hu.berlin/crix. His web page is: hu.berlin/wkh.
Vasile Alecsandru STRAT graduated the Faculty of Cybernetics, Statistics and Economic Informatics in 2007. He currently holds a Ph.D. diploma in Economics (Economic Cybernetics and Statistics) from 2012. He joined the Bucharest University of Economic Studies, in 2007 and he is currently holding the position of associate professor within the Department of Statistics and Econometrics from the Faculty of Cybernetics, Statistics and Economic Informatics. He currently teaches Statistics courses and Econometrics courses within the Faculty of Business Administration (German section) and within the Faculty of Cybernetics, Statistics and Economic Informatics. He is the author of several journal articles and conference proceedings’ articles, mostly in the field of applied statistics and econometrics, foreign direct investments and regional development. During the last years he has also worked in international teams of experts who have provided support for some of the most important institutions from the central administration in Romania (Ministry of Regional Development and Public Administration, Ministry of Agriculture and Rural Development, Ministry of EU Funds) for different EU funded programmes (National Rural Development Programme, Regional Operational Programme, etc.).
Daniel Traian Pele graduated Mathematics at University of Bucharest (2000) and got his Ph.D. in Statistics (2007) at Bucharest University of Economic Studies. He currently serves as an Associate Professor at Department of Statistics and Econometrics, Bucharest University of Economic Studies, Romania, teaching Statistics of Financial Markets and Time Series. He is an author of more than 20 scientific publications in internationally refereed journals. The corresponding research profile is that of a data scientist, focused on statistical modelling of financial markets. He was a postdoctoral researcher at ICMA Centre, Reading University, United Kingdom (2011) and a Guest Researcher at Research Data Center from Department of Statistics, Humboldt University from Berlin (2014). He is the co-founder of SAS Centre of Excellence in Bucharest University of Economic Studies (2009), aiming to use SAS as a platform for analytics with applications in economy and finance. He was also a World Bank consultant in Romania and he taught courses of Statistics, Econometrics and SAS for the employees of the Romanian National Bank (BNR), National Statistical Institute (INS) and other financial institutions.
The conference is organized by Society for Business Excellence and UNESCO Department for Business Administration on the 18-19 of March 2021 at The Bucharest University of Economic Studies, Faculty of Business Administration in Foreign Languages (FABIZ) in partnership with the Romanian Academy, the University of Bucharest and the Sapienza University from Rome, Italy. The papers accepted at ICBE 2021 will be published in the conference proceedings, subject to author registration, payment and presentation. The papers will be published in the Conference Proceedings volume under the German Publishing House De Gruyter and they will be indexed in EBSCO, Proquest, ExLibris, OCLC, Google Scholar, Microsoft Academic, CELDES, CNPIE, Naviga, and will be submitted to Thomson Reuters ISI Web of Science (WOS) Conference Proceedings Citation Index (https://content.sciendo.com/view/journals/picbe/picbe-overview.xml
Submitted papers will be also considered for publishing under Springer Proceedings in Business and Economics, series indexed by Scopus and ISI. Here you can access the last the edition published following ICBE2020: https://www.springer.com/gp/book/9783030599713
In addition, the best three Papers (Best paper Award Management&Marketing) will be published in the international journal Management & Marketing. Challenges for the Knowledge Society by De Gruyter Open, indexed in Web of Science- Emerging Sources Citation Index (ESCI), Scopus, Proquest, Cabell’s Directory and more than 20 other international databases (www.degruyter.com/view/j/mmcks).
At the final ceremony, based on a selection of the international committee, there will be granted three Best Paper Awards Management&Marketing (https://content.sciendo.com/view/journals/mmcks/mmcks-overview.xml, indexed in Web of Science) and two Excellence Awards.
|NEW Submission of full paper due for review||15 February 2021|
|Notification of paper acceptance (incl. requests for changes)||22 February 2021|
|Final paper due (with changes implemented)||1 March 2021|
|Final Author registration date||1 March 2021|
Registration and payment*
|EARLY BIRD – by February 22th 2021|
|Student (PhD or Post-doc)||75 euro|
|REGULAR – By March 10th 2021|
|Student (PhD or Post-doc)||150 euro|
|LATER – After March 10th 2021|
|Student (PhD or Post-doc)||150 euro|
|Supplementary paper||75 euro|
- The conference fee includes one conference attendance, publication, conference folder and acces to the online events during the conference.
- All confirmed SBE members (who have paid their membership fee for 2021) benefit from a 30% fee discount.
*Please be aware that a late payment involves the possibility not to be present in the printed version of the materials (agenda, booklet).