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Innovation and Covid-19: Food for Thought on the Future of Innovation
Virtually all areas of life were plunged into crisis when the Covid-19 pandemic struck in 2020. While innovation offers paths out of the crisis, many aspects of innovation are themselves feeling the effects of it. Against this backdrop, the question is how the Covid-19 pandemic will impact the future of innovation. In the following section, we will examine this by reviewing the “Understanding Change, Shaping the Future. Impulses for the Future of Innovation” paper in a pandemic context. Starting with the relevant trends for innovation systems identified in 2018, and the theses developed on this basis, we would once again like to take you forward in time to 2030. From this vantage point we will look back on the impacts of the Covid-19 pandemic on innovation systems and examine the resulting opportunities and risks in more detail. Among the trends considered relevant for innovation systems were the digital transformation, the growing complexity of innovation systems, the continuously expanding stakeholder base, a more frequent use of Open Science approaches, and a trend towards the development of holistic and systemic solutions.
Handling Data Problems in Machine Learning Applications in Supply Chain Management
In recent years, considerable progress has been made in research on artificial intelligence, particularly in the sub-area of machine learning (ML) where information is extracted from huge data sets. In practice, however, the existing data is often dirty, erroneous, not available in sufficient quantity, or does not meet the requirements for a direct application of ML methods. Against this background, data augmentation (DA) methods can be used to improve the data quality with the aim of enabling an initial application of ML methods or improving the results of existing ML models. Today, there is a wide range of different DA methods, which makes it oftentimes difficult to select an appropriate DA method for a particular application. Further, it remains unclear what the potential benefits and possible obstacles are to using DA for ML methods in practice. In this regard, this dissertation aims to contribute to a better understanding of DA and to demonstrate, by means of a multiple-case study, how DA can improve the performance and applicability of ML methods in the context of supply chain management.
Ambient Intelligence
This volume contains the proceedings of the Second European Ambient Intelligence (AmI) Conference. The conference took place in Erlangen and Nürnberg, November 19–22, 2008. The concept of ambient intelligence (AmI) was introduced in the late 1990s as a novel paradigm for electronic environments for the years 2010-2020. It builds on the early visions of Weiser describing a novel mobile computing infrastr- ture integrated into the networked environment of people. According to early defi- tions, AmI refers to smart electronic surroundings that are sensitive and responsive to the presence of people. The added value for the multi-dimensional society we are living in lies in the fact that the l...
Microelectronic Systems
This book is dedicated to Prof. Dr. Heinz Gerhäuser on the occasion of his retirement both from the position of Executive Director of the Fraunhofer Institute for Integrated Circuits IIS and from the Endowed Chair of Information Technologies with a Focus on Communication Electronics (LIKE) at the Friedrich-Alexander-Universität Erlangen-Nürnberg. Heinz Gerhäuser's vision and entrepreneurial spirit have made the Fraunhofer IIS one of the most successful and renowned German research institutions. He has been Director of the Fraunhofer IIS since 1993, and under his leadership it has grown to become the largest of Germany's 60 Fraunhofer Institutes, a position it retains to this day, current...
Logistics Management
This book gathers papers presented at the Logistik-Management-Konferenz 2013, which was organized by the VHB Wissenschaftliche Kommission Logistik and held in Bremen, Germany. The papers reflect the current state-of-the-art in logistics and supply chain management, focusing on environmental sustainability in logistics and supply chain network dynamics and control. The target audience primarily consists of researchers and practitioners in the field, but the book may also be beneficial for graduate students.
Visibility and Flexibility in Supply Chain Risk Management
This book sets out to provide an understanding of flexibility and visibility in supply chain risk management beyond national borders. The first part lays down the basic fundament of disruptive dynamics through the analysis of how pre-disruptive risk phases influence post-disruptive risk phases in interconnected risk sources. The second part of this book built on these findings by analyzing the role of information sharing to enhance the shift between pre- and post-disruptive flexibility capabilities, exemplified by various companies in Japan. The third part has taken a wider approach to provide a contribution beyond national borders, by analyzing the influence of dissimilar cultural behavior on supply chain visibility. The aim of this book is to provide guidance and insights in order to overcome disruptions, to become more resilient, and to bridge the gaps between dissimilar cultures to enhance the positive output in business environments, the global economy, and beyond.
Ambient Intelligence
This volume contains the proceedings of the Second European Ambient Intelligence (AmI) Conference. The conference took place in Erlangen and Nürnberg, November 19–22, 2008. The concept of ambient intelligence (AmI) was introduced in the late 1990s as a novel paradigm for electronic environments for the years 2010-2020. It builds on the early visions of Weiser describing a novel mobile computing infrastr- ture integrated into the networked environment of people. According to early defi- tions, AmI refers to smart electronic surroundings that are sensitive and responsive to the presence of people. The added value for the multi-dimensional society we are living in lies in the fact that the l...
Fostering Collaborative Data Exchange Using Semantic Data Models In The European Goods Transport Industry
For more than 20 years, supply chains have been optimized using electronic data interchange based on the EDIFACT standard. In 2010, the EU Commission launched a digital agenda to optimize public administration processes through uniform and cross-border regulations. Ongoing globalization and increased environmental awareness are creating increasing de-mands for the transport industry, such as shifting transport from road to rail. Several projects are focusing on the semantic standardization of data exchange based on web technologies, in order to optimize system interaction between all players of the transport supply chain. This study investigates, if using a semantic reference data model inst...
Proceedings of IAC in Vienna 2019
International Academic Conference on Global Education, Teaching and Learning International Academic Conference on Management, Economics, Business and Marketing International Academic Conference on Transport, Logistics, Tourism and Sport Science
