Author: German Design Council Publisher: Callwey ISBN: 3766726471 Category : Architecture Languages : en Pages : 550
Book Description
As Germany's design and brand authority, the German Design Council strengthens society's awareness of design and supports companies in all aspects of their brand and design development. In "The Major Brands in Germany 2023", not only the most exciting companies are presented. In addition, Germany's best brands tell you everything you need to know about this year's theme "recreate. transform. be resilient.".
Author: Nazif AYYILDIZ Publisher: Özgür Publications ISBN: 975447821X Category : Business & Economics Languages : en Pages : 121
Book Description
The book titled "Prediction of Stock Market Index Movements with Machine Learning" focuses on the performance of machine learning methods in forecasting the future movements of stock market indexes and identifying the most advantageous methods that can be used across different stock exchanges. In this context, applications have been conducted on both developed and emerging market stock exchanges. The stock market indexes of developed countries such as NYSE 100, NIKKEI 225, FTSE 100, CAC 40, DAX 30, FTSE MIB, TSX; and the stock market indexes of emerging countries such as SSE, BOVESPA, RTS, NIFTY 50, IDX, IPC, and BIST 100 were selected. The movement directions of these stock market indexes were predicted using decision trees, random forests, k-nearest neighbors, naive Bayes, logistic regression, support vector machines, and artificial neural networks methods. Daily dataset from 01.01.2012 to 31.12.2021, along with technical indicators, were used as input data for analysis. According to the results obtained, it was determined that artificial neural networks were the most effective method during the examined period. Alongside artificial neural networks, logistic regression and support vector machines methods were found to predict the movement direction of all indexes with an accuracy of over 70%. Additionally, it was noted that while artificial neural networks were identified as the best method, they did not necessarily achieve the highest accuracy for all indexes. In this context, it was established that the performance of the examined methods varied among countries and indexes but did not differ based on the development levels of the countries. As a conclusion, artificial neural networks, logistic regression, and support vector machines methods are recommended as the most advantageous approaches for predicting stock market index movements.
Author: Daniel S. Hamilton Publisher: Taylor & Francis ISBN: 1040006779 Category : Political Science Languages : en Pages : 219
Book Description
This volume analyzes what China’s rise means for the transatlantic community in a new age of disruption—an age marked by great power rivalry, technological upheavals, and the diffusion of power. The book explores how today’s conditions—including heightened Western concerns about Chinese influence operations, Chinese efforts to manipulate critical economic interconnections and dependencies, rapid technological advances, the Russia–China entente, and growing linkages between North Atlantic and Indo-Pacif ic security—have forced Western actors to adopt a more differentiated approach. In this great power competition, they must decide how and where to work with China as an important partner, how to address China’s competitive challenges, and how to address China’s efforts to forge a set of norms and institutions to challenge the open, rules-based international system. The book will be of key interest to students and scholars of Transatlantic Relations, International Relations, Global Governance, European Politics, Asian Security, US and EU Foreign Policy, and Sino-Western relations. It will also be of interest to think-tank researchers and policy practitioners.
Author: OECD Publisher: OECD Publishing ISBN: 9264606971 Category : Languages : en Pages : 94
Book Description
This report, one in a series of studies by the OECD and the European Union Intellectual Property Office (EUIPO), enhances understanding of the issues and challenges facing governments, businesses and society posed by the trade in fake pharmaceutical products.
Author: Maximilian Lantelme Publisher: Springer Nature ISBN: 3658423757 Category : Business & Economics Languages : en Pages : 349
Book Description
This book studies the long-term development of the 250 largest family and non-family enterprises in Germany between 1958 and 2018. In particular, the continuities and discontinuities of the companies’ ownership structure, operations and solvency are examined. Historical methods are used to advance the understanding of the attributed long-term orientation of family firms in family business research. The collected data of the 250 largest enterprises of 1958 provide the most comprehensive historical overview of the industrial landscape of this period. The long-term analyses show that more than half of the companies fail and less than a quarter keeps their ownership structure in the observation period of 60 years. In this timeframe, family-owned businesses have relatively stable ownership structures and superior survival rates compared to public companies although the latter experience higher growth rates. A listing of a family firm leads to the discontinuity of the family’s majority ownership in the mid- to long-term. Furthermore, company types like foundation-owned enterprises and foreign subsidiaries show even higher survival rates. The book closes with practical implications based on the identified development patterns of the surviving and failed enterprises.
Author: Claudia Peter Publisher: GRIN Verlag ISBN: 3346582701 Category : Business & Economics Languages : en Pages : 29
Book Description
Academic Paper from the year 2021 in the subject Business economics - Miscellaneous, grade: 1,7, The FOM University of Applied Sciences, Hamburg, language: English, abstract: This paper poses the following questions: What is the future of Platform Business in B2B markets? How is the energy industry affected and what are fields of action to catch-up or outperform in this economic area? To examine the research problem, a descriptive method based on secondary literature, reports and statistical data will be performed. Research in this area has been limited to the energy sector with an in depth status quo. From a structure point of view, the study begins with definitions of basic terms, followed by the central chapter 'B2B Platform Business in the energy sector'. The central part is divided into three sub sections, where first of all the status quo regarding B2B platform business at E.ON, one of the largest energy companies in Germany, will be examined, following by an analysis of current trends regarding B2B platform business. The third sub section discusses fields of action for future B2B platform business at E.ON. Finally, a conclusion and outlook will summarize this research. With the rapid development of the internet and digital technologies, platforms already have grown to a global phenomenon in 2016. Nowadays, the COVID-19 pandemic further accelerated the digital transformation, which led to more progress and diversification of digital platforms. The rise of platforms like, e.g., Uber, AirBnB and Alibaba already disrupted traditional business models by connecting people, organizations and resources in an interactive way via digital technology. Through climate change in combination with digitization and new technologies, like smart meters, deep learning and a substantial stream of software platforms, the energy industry experienced massive changes due to the appearance of B2B platform businesses, such as virtual power plants or smart home platform solutions. These developments demonstrate the importance for strategic corporate management to stay up-to-date and to elaborate new B2B platform business models in order to remain profitable and competitive.
Author: German Design Council
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Author: Nazif AYYILDIZ
Author: Daniel S. Hamilton
Author: R M Whiteside
Author: OECD
Author: Maximilian Lantelme
Author: Claudia Peter
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