Uwe Lebefromm | University of Rijeka (original) (raw)
Senior Education Consultant SAP, PhD, University of Rijeka, Faculty of Economics and Business
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Papers by Uwe Lebefromm
De Gruyter eBooks, Dec 31, 2003
Oldenbourg Wissenschaftsverlag Verlag eBooks, 2012
As a result, a continuous development of the production controlling is to determine. The classic ... more As a result, a continuous development of the production controlling is to determine. The classic cost accounting is used for internal information gath
Economics of Digital Transformation, 2019
Operatives Controlling und Kostenrechnung, 2020
The digital transformation is increasingly determining everyday professional life. The increasing... more The digital transformation is increasingly determining everyday professional life. The increasing digitization of operational processes is taking place across all industries. The implementation of data digitization and company networking offers the possibility of optimizing operational processes using this technology. Technical implementation can increase the operational success of a company if it results in better decisions of the controlling and management. Such data-driven decision-making processes are the core of this thesis. First of all, this process includes the transformation of company data into decision-relevant information. This doctoral dissertation demonstrates that this is possible by using machine learning to develop prediction models to provide reliable predictions about future customer behavior. Predictions that allow a validated division of customers into customer groups enable target group-oriented customer relationship management. For this purpose, the explanator...
The papers published in this monograph present best papers presented at the first conference of t... more The papers published in this monograph present best papers presented at the first conference of the Faculty of Economics and Bussiness of University of Rijeka organized on the topic of “Economics of digital transformation” from 2nd to 4th of May, 2018 in Opatija, Croatia (www.edt- conference.com). During the three days of the conference more than 50 researchers from European region contributed with their presentations. We are particularly proud on the results of our doctoral workshop where nine young researchers presented their research while five papers were published in the monograph. In this way we are building our future research capacities and expose young researchers to rigorous scientific challenge
Pomorstvo, Jun 30, 2021
This paper is dealing with predictive modeling based on predictive analytics using computer appli... more This paper is dealing with predictive modeling based on predictive analytics using computer application system and the usage of the prediction results for decision-making processes. Usually the prediction is based on the experience of decision makers, but the aim of this study is to explain and proof higher predictive efficiency when using predictive analytics based on machine learning as well as more accurate future-oriented business decisions. The marina industry in Croatia is used for this research because of its complexity and necessity to predict future events that influence company success with reliable accuracy. The information for decision-making were obtained from the customer database recorded manually over the past 30 years and according to data from December 2020. The optimized prediction by the vector machine and statistical theory based on the Bayes theorem is used to support more accurate prediction. The quantitative research was carried out using the SAP Predictive Analytics (SAP PA) computer application. The results of prediction models are a perfect basis for making future-oriented strategic and tactical decisions. This research proves that, with knowledge obtained from the results of prediction models it is possible to improve the identification of the target group among applicants and customers that contribute to company success. The research provides a theoretical and an empirical contribution in the usage of predictive analytics in the marina industry in Croatia.
Operatives Controlling und Kostenrechnung, 2020
As a result, a continuous development of the production controlling is to determine. The classic ... more As a result, a continuous development of the production controlling is to determine. The classic cost accounting is used for internal information gath
This textbook is written for academic courses and practicing professionals. For the purpose of ac... more This textbook is written for academic courses and practicing professionals. For the purpose of academic courses, the book is written as a core text for graduate and postgraduate students who want to acquire in-depth knowledge of the production controlling concept. For specialists like controllers, analysts, accountants, auditors, and other similar professions, the book provides an opportunity to apply their knowledge of the methodology that is to be used in strategic and operational process controlling. The five chapters of the textbook describe the essential approach to production controlling adapted to the needs of both students and professionals. Chapter 1 introduces the technological basis – Big Data. Cyber-physical systems are introduced for the purposes of business model creation and controlling. The introduction covers the impact of digitalization, and Chapter 2 describes the concrete concept of smart production, new forms and benefits of industrialization, business model in ...
De Gruyter eBooks, Dec 31, 2003
Oldenbourg Wissenschaftsverlag Verlag eBooks, 2012
As a result, a continuous development of the production controlling is to determine. The classic ... more As a result, a continuous development of the production controlling is to determine. The classic cost accounting is used for internal information gath
Economics of Digital Transformation, 2019
Operatives Controlling und Kostenrechnung, 2020
The digital transformation is increasingly determining everyday professional life. The increasing... more The digital transformation is increasingly determining everyday professional life. The increasing digitization of operational processes is taking place across all industries. The implementation of data digitization and company networking offers the possibility of optimizing operational processes using this technology. Technical implementation can increase the operational success of a company if it results in better decisions of the controlling and management. Such data-driven decision-making processes are the core of this thesis. First of all, this process includes the transformation of company data into decision-relevant information. This doctoral dissertation demonstrates that this is possible by using machine learning to develop prediction models to provide reliable predictions about future customer behavior. Predictions that allow a validated division of customers into customer groups enable target group-oriented customer relationship management. For this purpose, the explanator...
The papers published in this monograph present best papers presented at the first conference of t... more The papers published in this monograph present best papers presented at the first conference of the Faculty of Economics and Bussiness of University of Rijeka organized on the topic of “Economics of digital transformation” from 2nd to 4th of May, 2018 in Opatija, Croatia (www.edt- conference.com). During the three days of the conference more than 50 researchers from European region contributed with their presentations. We are particularly proud on the results of our doctoral workshop where nine young researchers presented their research while five papers were published in the monograph. In this way we are building our future research capacities and expose young researchers to rigorous scientific challenge
Pomorstvo, Jun 30, 2021
This paper is dealing with predictive modeling based on predictive analytics using computer appli... more This paper is dealing with predictive modeling based on predictive analytics using computer application system and the usage of the prediction results for decision-making processes. Usually the prediction is based on the experience of decision makers, but the aim of this study is to explain and proof higher predictive efficiency when using predictive analytics based on machine learning as well as more accurate future-oriented business decisions. The marina industry in Croatia is used for this research because of its complexity and necessity to predict future events that influence company success with reliable accuracy. The information for decision-making were obtained from the customer database recorded manually over the past 30 years and according to data from December 2020. The optimized prediction by the vector machine and statistical theory based on the Bayes theorem is used to support more accurate prediction. The quantitative research was carried out using the SAP Predictive Analytics (SAP PA) computer application. The results of prediction models are a perfect basis for making future-oriented strategic and tactical decisions. This research proves that, with knowledge obtained from the results of prediction models it is possible to improve the identification of the target group among applicants and customers that contribute to company success. The research provides a theoretical and an empirical contribution in the usage of predictive analytics in the marina industry in Croatia.
Operatives Controlling und Kostenrechnung, 2020
As a result, a continuous development of the production controlling is to determine. The classic ... more As a result, a continuous development of the production controlling is to determine. The classic cost accounting is used for internal information gath
This textbook is written for academic courses and practicing professionals. For the purpose of ac... more This textbook is written for academic courses and practicing professionals. For the purpose of academic courses, the book is written as a core text for graduate and postgraduate students who want to acquire in-depth knowledge of the production controlling concept. For specialists like controllers, analysts, accountants, auditors, and other similar professions, the book provides an opportunity to apply their knowledge of the methodology that is to be used in strategic and operational process controlling. The five chapters of the textbook describe the essential approach to production controlling adapted to the needs of both students and professionals. Chapter 1 introduces the technological basis – Big Data. Cyber-physical systems are introduced for the purposes of business model creation and controlling. The introduction covers the impact of digitalization, and Chapter 2 describes the concrete concept of smart production, new forms and benefits of industrialization, business model in ...
International corporations have to take into account local and group accounting principles. this ... more International corporations have to take into account local and group accounting principles. this is a speech at the ceremony of the faculty of economics and business at the university of Rijeka at Sep. 30th. It contains an example of solutions in SAP S/4HANA to fulfill this requirements.