Home Business & Economics AI in Business and Economics
book: AI in Business and Economics
Book Open Access

AI in Business and Economics

  • Edited by: Isabel Lausberg and Michael Vogelsang
Language: English
Published/Copyright: 2024
Become an author with De Gruyter Brill

About this book

Rapid advances in artificial intelligence (AI) technologies have generated intense interest and debate about their potential to reshape industries, labour markets and socio-economic structures. This volume presents a collection of academic papers stemming from "The Economic Perspective of Artificial Intelligence" (EPEAI) conference held at the Ruhr West University of Applied Sciences in Mülheim an der Ruhr, Germany, in March 2023.

AI in Business and Economics discusses topics as varied as marketing, accounting, reporting, business narratives, forecasting, generational differences in attitudes, economic policy – all in the context of exploring the multifaceted intersection of economics and artificial intelligence. It navigates through the fog caused by the heterogeneity of diverse AI applications and methodologies by examining artificial intelligence from an economic perspective. In doing so, it becomes clear that the implementation of a broad range of AI technologies in companies has just begun. Businesses, employees, and policy makers will soon have to adapt to the fast-paced advancements in artificial intelligence, ensuring they become and remain competitive, ethical, and forward-thinking in a changing global landscape.

This book will serve as a valuable resource for scholars, practitioners, and students exploring the complexities of the economic implications of AI.

Author / Editor information

Isabel Lausberg is Professor of Business and Management Accounting at the Ruhr West University of Applied Sciences (HRW) in Mülheim an der Ruhr, Germany. As co-director of the research focus "Artificial Intelligence from an Economic Perspective", she focuses on digitalization and AI in her research and teaching. She is a certified data scientist, specialized in data analytics, and has been recognized as a fellow for innovations in digital higher education. Prior to joining HRW, Lausberg was a professor at the Technical University of Applied Sciences in Bochum (THGA) and gained practical business experience in e-commerce and strategic planning in a leading German retail company. She holds a degree in Business from the University of Cologne and a PhD from the University of Duisburg-Essen.

Michael Vogelsang is Professor of Economics at the Ruhr West University of Applied Sciences (HRW) located in Mülheim an der Ruhr, Germany. His academic focus encompasses economics, digitalization, and quantitative methods. In 2020, he, together with Isabel Lausberg, established a pioneering research group dedicated to "Artificial Intelligence from an Economic Perspective". Now, as intelligence becomes scalable, technological innovations are merging with economic drivers and transforming societies. The interdisciplinary perspective on AI, ranging from computer science to philosophy, is a key part of his fascination with the subject. Prior to his current role, he was Chief Economist at the German Association of Small and Medium-sized Enterprises in Berlin. Vogelsang's academic career includes a PhD from the University of Wuppertal, where he specialized in the study of digitalization in open economies.


Open Access Download PDF
I

Open Access Download PDF
V

Open Access Download PDF
IX
Part 1: Competition and Regulation

Richard von Maydell and Christoph Menzel
Open Access Download PDF
1
Part 2: Production and Processes

Markus Feld, Wolfgang Arens-Fischer and Marcel Schumacher
Open Access Download PDF
19

Robert Menger, Karla Ohler-Martins, Amanda Lemette and Robert J. Martin
Open Access Download PDF
31
Part 3: Finance and Accounting

Marcus Bravidor
Open Access Download PDF
45

Isabel Lausberg, Arne Eimuth and Anne Stockem Novo
Open Access Download PDF
57

Thomas Rautenstrauch, Janis Hummel, Oliver Isoz and Simon Moser
Open Access Download PDF
71
Part 4: Organisation and Workflow

Markus Harlacher, Andrea Altepost, Alexander Ferrein, Adjan Hansen-Ampah, Wolfgang Merx, Sina Niehues, Stefan Schiffer and Fatemeh Nasim Shahinfar
Open Access Download PDF
87

Nicolai Krüger, Agnis Stibe and Jacqueline Krüger
Open Access Download PDF
101
Part 5: HR and Employment

An Exploratory Study Based on the Analysis of Online Job Postings
Timm Eichenberg, Nils Pudill, Britta Rüschoff, Anne Stockem Novo and Michael Vogelsang
Open Access Download PDF
115

Ed Dandalt
Open Access Download PDF
131
Part 6: Artificial Intelligence and Humans

Zunera Rana, Jessica Roemer, Thomas Pitz and Joern Sickmann
Open Access Download PDF
139

Simone Roth and Medina Klicic
Open Access Download PDF
155

Irina Simon
Open Access Download PDF
171

Khuliso Mapila and Tankiso Moloi
Open Access Download PDF
185
Part 7: Forecasting

Katharina I. Köstner, Bàrbara Llacay and David Alaminos
Open Access Download PDF
203

Jan Vogt, Alexander Bönner, Michael Römmich, Malte Weiß and Merih Türkoglu
Open Access Download PDF
225

Gregor Johnen, Jens Kley-Holsteg, André Niemann and Florian Ziel
Open Access Download PDF
243

Open Access Download PDF
257

Open Access Download PDF
261

Open Access Download PDF
263

Open Access Download PDF
265

Publishing information
Pages and Images/Illustrations in book
eBook published on:
September 23, 2024
eBook ISBN:
9783110790320
Hardcover published on:
September 23, 2024
Hardcover ISBN:
9783110790054
Pages and Images/Illustrations in book
Front matter:
11
Main content:
266
Illustrations:
15
Coloured Illustrations:
40
Tables:
32
Downloaded on 7.12.2025 from https://www.degruyterbrill.com/document/doi/10.1515/9783110790320/html
Scroll to top button