Ai in Business and Economics / Isabel Lausberg, Michael Vogelsang.
Material type: TextLanguage: English Publisher: Boston : De Gruyter, 2024Edition: 1Description: 1 online resourceContent type:- text
- computer
- online
- 9783110790054
- 9783110790320
- HF5351 .A356 2024
Item type | Current library | Call number | URL | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
Online Resource | UAE Federation Library | مكتبة اتحاد الإمارات Online Copy | نسخة إلكترونية | Link to resource | Not for loan |
Part 1: Competition and Regulation / Richard von Maydell, Christoph Menzel.-- Chapter 1. The Rise of Artificial Intelligence: Towards a Modernisation of Competition Policy .-- Part 2: Production and Processes / Markus Feld, Wolfgang Arens-Fischer, Marcel Schumacher .-- Chapter 2. “KI-AGIL” – An Agile Process Model to Make AI Development Accessible to SMEs / Robert Menger, Karla Ohler-Martins, Amanda Lemette, Robert J. Martin .-- Chapter 3. Automatic Classification of Files Based on the Classes of IEC 61355.-- Part 3: Finance and Accounting / Marcus Bravidor.-- Chapter 4. Auditing Algorithms in the (Non-)Financial Audit: Status Quo and Way Forward / Isabel Lausberg, Arne Eimuth, Anne Stockem Novo.-- Chapter 5. Barriers to the Use of Artificial Intelligence (AI) in Management Reporting / Thomas Rautenstrauch, Janis Hummel, Oliver Isoz, Simon Moser Chapter 6 Transforming Management Accounting with Robotic Process Automation – Requirements and Implications.-- Part 4: Organisation and Workflow / Markus Harlacher, Andrea Altepost, Ingo Elsen, Alexander Ferrein, Adjan HansenAmpah, Wolfgang Merx, Sina Niehues, Stefan Schiffer, Fatemeh Nasim Shahinfar.-- Chapter 7. Approach for the Identification of Requirements on the Design of AIsupported Work Systems (in Problem-based Projects) / Nicolai Krüger, Agnis Stibe, Jacqueline Krüger.-- Chapter 8. Plug and Play AI – How Companies Can Benefit from AI as a Service.-- Part 5: HR and Employment Timm Eichenberg, Nils Pudill, Britta Rüschoff, Anne Stockem Novo, Michael Vogelsang.-- Chapter 9. Developing Personas of Ideal-type Candidates in AI-related Jobs / Ed Dandalt.-- Chapter 10. Artificial Intelligence and Care Leaders: A Critical Perspective.-- Part 6: Artificial Intelligence and Humans / Zunera Rana, Jessica Roemer, Thomas Pitz, Joern Sickmann.-- Chapter 11 Public Perception of Artificial Intelligence: A Systematic Evaluation of Newspaper Articles Using Sentiment Analysis / Simone Roth, Medina Klicic .--Chapter 12. Generational Differences in Framing for Social Robot Usage Intention from a Consumer Behaviour Point of View / Irina Simon Chapter 13 Towards a Structuralist Data Narratology.-- Khuliso Mapila, Tankiso Moloi.-- Chapter 14. Exploring the Adoption of AI for Customer Engagement Marketing by Small and Medium Enterprises in South Africa: A Literature Review of Challenges and Opportunities.-- Part 7: Forecasting Katharina I. Köstner, Bàrbara Llacay, David Alaminos.-- Chapter 15. Forecasting Brent Oil Volatility: DeepAR vs LSTM / Jan Vogt, Alexander Bönner, Michael Römmich, Malte Weiß, Merih Türkoglu.-- Chapter 16. Energy Stock Price Forecast Based on Machine Learning and Sentiment Analysis – Which Approach Performs Best in Day Trading? / Gregor Johnen, Jens Kley-Holsteg, André Niemann, Florian Ziel .-- Chapter 17. Optimising Water Supply – Application of Probabilistic Deep Neural Networks to Forecast Water Demand in the Short Term.
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.