Riza Öztürk – författare

In today's increasingly digitalized world, digital transformation dramatically changes the way of doing business and reshapes business functions such as controlling, logistics, HR, marketing etc. For companies that do not know how to implement digital transformation, it will be difficult to survive. Therefore, digital transformation is one of the most debated issues in today's business world. Being aware of this issue, Turkish-German University (TGU) hosted a conference on „Digital Transformation in Business" in cooperation with Bielefeld University of Applied Sciences in Istanbul. The conference offered a platform where academicians as well as practitioners discussed current issues of digital transformation. The academic papers presented in the conference constitute the papers of this book

The Covid-19 pandemic has not only affected the health and life of people around theworld but also many areas such as the economy, the way of doing business, workinglife, the education sector, the urban life, and consumer consumption habits. Digitaltechnologies and solutions also played an important role in the changes brought aboutby the pandemic. Digitization has brought its own challenges in this context. Beingaware of this issue, Turkish-German University (TGU) hosted a conference on “DigitalChallenges and Strategies in a Post-Pandemic World” in cooperation with BielefeldUniversity of Applied Sciences in Istanbul. The conference offered a platform for academiciansas well as practitioners to discuss the current issues related to new digitalapplications, the impact of digitization, digital challenges, and necessary measures, aswell as strategies to overcome these challenges in a post-pandemic world. The academicpapers presented in the conference constitute the chapters of this book.

In our world, where information and communication technologies are reshaping and continuing to shape every field, it is clear that enterprises that can follow the flow of information, grind the information they collect in information mills, and provide intelligence by using their internal and external information, can adapt to changing conditions in a timely and effective manner in proportion to its power. At this point, the aim is to automate the realization of this whole process to the greatest possible extent. In this context, the important developments in the last 20 years have been focusing on business intelligence, big data, deep learning, reinforcement learning, data intelligence, decision intelligence, automated decision-making, and other concepts and the development of application tools.From this point of view, under the title of “Data-driven decisions in enterprises – implications for business education and cases,” papers collected from various universities worldwide are included in this conference proceedings.

Rapid technological progress, shifting global markets, and a growing focus on sustainability are driving transformative changes in today’s business and institutional landscapes. This edited volume brings together current research on key topics such as artificial intelligence, blockchain, virtual teams, and responsible financial models. Drawing on real-world examples, the contributors illustrate how innovative technologies can be harnessed to optimize business processes, implement fair pricing strategies, and protect public goods in a sustainable manner. At the same time, they examine organizational hurdles and highlight emerging social opportunities—offering essential insights and inspiration for decision-makers in both industry and academia.

In diesem Buch finden Studierende aller wirtschaftswissenschaftlichen Studiengänge eine verständliche Einführung in die für sie relevanten mathematischen Methoden. Der Text ist in drei Teile gegliedert:GrundlagenLineare Algebra mit den Schwerpunkten lineare Gleichungssysteme und lineare OptimierungAnalysis mit den Schwerpunkten Finanzmathematik und DifferentialrechnungNeben einer praxisnahen Motivation der Inhalte bietet das Buch auch zahlreiche Beispiele und Übungen mit Lösungen. Außerdem wird die klassische Anwendung der mathematischen Verfahren durch die Anwendung des Open-Source-Programms Scilab ergänzt und veranschaulicht. Die einzelnen Schritte dazu sind im Text beschrieben, was einen leichten Zugang zu dem Programm ermöglicht. Die 4. überarbeitete und ergänzte Auflage ist nun um einen Abschnitt über ganzzahlige lineare Optimierung ergänzt.

In diesem anwendungsorientierten Lehrbuch werden kompakt alle elementaren statistischen Verfahren für die Ökonomie anschaulich erklärt. Der leicht verständliche Text ist mit vielen Beispielen und Übungen ergänzt. Die praxisnahe Darstellung der Methoden wird durch die Erklärung und Anwendung der Statistikprogramme R (Open-Source-Progamm) und SPSS vervollständigt. Im Text sind für beide Programme viele Programmanweisungen enthalten. Zielgruppe sind insbesondere wirtschaftswissenschaftlich orientierte Studierende.Für die 4. Auflage wurde das Buch überarbeitet und ergänzt. Leser des gedruckten Buchs erhalten nun in der Springer Nature Flashcards-App zusätzlich kostenfreien Zugriff auf 99 exklusive Lernfragen, mit denen sie ihr Wissen überprüfen können.