Gerhard Kling – författare

This book looks at the drivers in the emergence, development and internal and global expansion of Asian e-commerce businesses. It tackles the problems inherent in the globalization strategy of a Japanese financial services firm operating in the e-commerce sector.

The business world has been transformed by information technology and online companies, which benefitted during the Covid-19 pandemic, unlike the traditional retail sector of the economy. The well-known Amazon has seen the emergence of Asian alternatives, Alibaba from China and Coupang from South Korea, both of which have the transnational venture capital firm SoftBank of Japan as a large share owner. This book explores performance and potential in e-commerce and fin-tech, internationalisation strategies, governance problems associated with foreign corporations in South Korea and anti-monopoly drive aimed at China’s tech giants. Diverse topics are covered, including the results, impacts and implications of US stock exchange listings, liability of foreignness, dual-class structure and importance of corporate governance and social responsibility signalling and messaging. The chapters also cover local and global expansion — takeovers, mergers and acquisitions, such as Lazada for the South East Asian market and levels of satisfaction and loyalty. Finally, SoftBank is used as an example of individual and collective entrepreneurial learning in the case of SoftBank Academia.

The chapters in this book were originally published as a special issue of Asia Pacific Business Review.

This book looks at the drivers in the emergence, development and internal and global expansion of Asian e-commerce businesses. It tackles the problems inherent in the globalization strategy of a Japanese financial services firm operating in the e-commerce sector.

The business world has been transformed by information technology and online companies, which benefitted during the Covid-19 pandemic, unlike the traditional retail sector of the economy. The well-known Amazon has seen the emergence of Asian alternatives, Alibaba from China and Coupang from South Korea, both of which have the transnational venture capital firm SoftBank of Japan as a large share owner. This book explores performance and potential in e-commerce and fin-tech, internationalisation strategies, governance problems associated with foreign corporations in South Korea and anti-monopoly drive aimed at China’s tech giants. Diverse topics are covered, including the results, impacts and implications of US stock exchange listings, liability of foreignness, dual-class structure and importance of corporate governance and social responsibility signalling and messaging. The chapters also cover local and global expansion — takeovers, mergers and acquisitions, such as Lazada for the South East Asian market and levels of satisfaction and loyalty. Finally, SoftBank is used as an example of individual and collective entrepreneurial learning in the case of SoftBank Academia.

The chapters in this book were originally published as a special issue of Asia Pacific Business Review.

Data-driven decision-making is a fundamental component of business success. Use this textbook to help you learn and understand the core knowledge and techniques needed for analysing business data with Python programming. Business Analytics with Python is ideal for students taking upper level undergraduate and postgraduate modules on analytics as part of their business, management or finance degrees. It assumes no prior knowledge or experience in computer science, instead presenting the technical aspects of the subject in an accessible, introductory way for students. This book takes a holistic approach to business analytics, covering not only Python as well as mathematical and statistical concepts, essential machine learning methods and their applications.Features include:- Chapters covering preliminaries, as well as supervised and unsupervised machine learning techniques- A running case study to help students apply their knowledge in practice.- Real-life examples demonstrating the use of business analytics for tasks such as customer churn prediction, credit card fraud detection, and sales forecasting.- Practical exercises and activities, learning objectives, and chapter summaries to support learning.