Matematik for virksomhedsøkonomer og forretningssystemer

The 3rd edition is dedicated to the increased requirements for sustainability and picks up on the higher dynamics as a result of agile system development, which is widespread today. The application of the methods to technical systems is also extended to include socio-technical systems.The work provides a historical outline of development trends in systems engineering (SE) up to the present. Included is a systematic examination of the various models and procedural concepts of SE. Based on this, the Generic Systems Engineering (GSE) is developed, consisting of a new meta-model, which can be combined with a project management-integrated process concept in a problem-solving-oriented manner and can be permanently updated or supplemented. Eight test examples show possible fields of application of the GSE, which range from virtual product development to field data feedback into it. Furthermore, examples for the transfer of GSE to socio-technical systems, i.e. companies and companynetworks, are presented.

This unique textbook explicitly addresses the intersection of advanced analytics and procurement. It is motivated by one core question: How can firms generate (economic) value from procurement data? It demonstrates that procurement is one of the major functions within a firm where data analytics, artificial intelligence, and operations research can successfully be leveraged to reduce cost and risk and to achieve resilience and sustainability goals.The book provides a methods-based overview of data-driven optimization of purchasing decisions. Besides presenting key concepts and applications, it particularly focuses on implementation, so as to help (future) procurement managers and data scientists quickly evaluate the value generated by a given data-driven solution. What sets this textbook apart is its combination of rigorous, state-of-the-art methodologies from academic research and first-hand experience from various application-oriented consulting projects in a range ofindustries. Though primarily intended for graduate students with a major in procurement and supply chain management, the book will also benefit purchasing managers with and without specific knowledge of advanced analytics techniques, and data scientists with and without specific experience in procurement.

This open access book constitutes papers from the research workshops presented at XP 2022 and XP 2023, respectively the 23rd and 24th International Conferences on Agile Software Development, held on June 13-17, 2022 at the IT University of Copenhagen, Denmark and June 13-16, 2023 in Amsterdam, Netherlands. XP is the premier agile software development conference combining research and practice. It is a unique forum where agile researchers, practitioners, thought leaders, coaches, and trainers get together to present and discuss their most recent innovations, research results, experiences, concerns, challenges, and trends. XP conferences provide an informal environment to learn and trigger discussions and welcome both people new to agile and seasoned agile practitioners.In 2022, the following workshops took place: ¿ 3rd International Workshop on Agility with Microservices Programming¿ 2nd International Workshop on Agile Sustainability¿ Agile and EducationIn 2023, six workshops were held: ¿ Workshop on Organisational Debt and Large-Scale Agile¿ Workshop on Software-Intensive Business¿ Workshop on Global and Hybrid Work¿ Workshop on Fear-Based Agile Transformation¿ Workshop on AI-assisted Agile¿ Workshop on Agile-Quantum Software EngineeringIn 2022, 6 workshop papers were accepted for publication in these post-proceedings, out of 11 submissions, and in 2023, 15 papers were accepted for publication out of 38 submissions.

Unternehmerische Entscheidungen profitieren vom Rückgriff auf wissenschaftliches Wissen. Es leitet nicht nur das methodische Vorgehen beim Treffen von Entscheidungen an, sondern stellt auch konkrete Ursache-Wirkungs-Beziehungen zur Verfügung. Auf diese Weise unterstützt die Wissenschaft die Beantwortung praktischer Fragen, was die Autoren dieses Sammelbandes anhand zahlreicher Beispiele aus Organisation, Führung und Marketing illustrieren.

Patricia Brunkow gibt einen Überblick über relevante Barrieren bei der Einführung von IT-Anwendungen in Unternehmen und stellt zwei Instrumente zur Identifikation und Vermeidung von Barrieren vor. Die Ergebnisse dieser Arbeit bieten aufgrund der Datenerhebung in einem Automobilunternehmen besonders praxisnahe Erkenntnisse.

Die digitale Transformation und der Einsatz von menschenähnlichen oder menschengleichen (humanoiden) Maschinen gehören zu den wichtigsten gesellschaftlichen und wirtschaftlichen Entwicklungen unserer Zeit. Dieses Buch beschreibt neben Anwendungen und Konzepten der Digitalisierung und Künstlicher Intelligenz, wie Unternehmen eine erfolgreiche Transformation zum digitalen Champion umsetzen können. Außerdem werden zahlreiche Praxisbeispiele in den Bereichen Supply Chain Management, Produktion, Nachhaltigkeit oder dem Bildungswesen dargestellt.

This book draws on recent debate surrounding the emergence of cognitive intelligence in organizations, exploring the redefinition of the labor market and consequently, employment. Now in its second edition, it has been re-conceived to reflect the huge transformation experienced by organizations and individuals following the COVID-19 pandemic, which has changed our understanding of the meaning of working and has reshaped HRM and its function within organizations.With a particular focus on Human Resource Management (HRM), the authors analyse the socio-cultural transformation of traditional practices and methodologies that are occurring in the workforce. Digital HR presents detailed case studies and interviews with HR managers of large multinational companies, providing comprehensive empirical evidence for academics and students interested in the development of HRM in today¿s digital landscape. The book will also be valuable to practitioners and managers looking to adapt the role of HR in their own companies or organizations.

This book showcases recent research advances in service science and related fields. Including selected papers from the 2022 INFORMS International Conference on Service Science, held in Shenzhen, China from July 2 to 4, 2022, the book presents new theories and empirical results in the emerging, interdisciplinary field of digital transformation and society. Incorporating research, education and practice alike, the respective chapters highlight a host of ways to approach these challenges in service science.

This book presents the proceedings of the International Conference on Managing Business through Web Analytics (ICMBWA 2021). The conference provides a global forum for sharing knowledge and results in theory, methodology, and applications of Web Analytics and their role in the formulation and the orientation of businesses' strategies. The aim of the conference is to provide a platform for researchers and practitioners from both academia and industry to meet and share their works in the field. Is an excellent resource for scholars, experts and industrial in the fields represented, as well as Ph.D. students seeking an entryway into current research in data analytics, Web analytics, machine learning algorithms, and their various applications within businesses. 

Dieses Lehrbuch betrachtet Data Management als interdisziplinäres Konzept mit Fokus auf den Zielen datengetriebener Unternehmen. Im Zentrum steht die interaktive Entwicklung eines Unternehmensdatenmodells für ein virtuelles Unternehmen mit Unterstützung eines online Learning Games unter Einbeziehung der Aufgaben, Ziele und Grundsätze des Data Managements, typischer Data-Management-Komponenten und Frameworks wie Datenmodellierung und Design, Metadaten Management, Data Architecture, und Data Governance, und verknüpft diese mit datengetriebenen Anwendungen wie Business Warehousing, Big Data, In-Memory Data Management, und Machine Learning im Data Management Kontext.Das Buch dient als Lehrbuch für Studierende der Informatik, der Wirtschaft und der Wirtschaftsinformatik an Universitäten, Hochschulen und Fachschulen und zur industriellen Aus- und Weiterbildung.

This book presents case studies to analyse the relationship between sustainability - environmental, social, institutional and economic - and digital innovation.  The respective contributions offer a contextualisation of the main present and future trends concerning these two elements, and present analyses from economic, technical, managerial, and social perspectives alike. The individual sections of the book focus on interactions between sustainability and digital innovation in existing organisations and highlight the new opportunities, challenges and threats that may emerge as a result. The contributions are mainly based on case studies and research conducted in Europe and Africa, with a few focusing on Southeast Asia and Central America, and were prepared by experts in the fields of Information Systems, Computer Science, Social Development, and Economics.

This book explores the employment of market mechanisms for data-interactive innovations. Based on the concept of innovators' marketplaces the book introduces a new concept of 'data jackets' to enable analysis of what kind of data exist, where they are located, and what kind of information they hold, even if the contents of data cannot be made publicly available.The book presents the concept of a marketplace for data in the case of data-interactive innovations. It introduces the marketplace as a platform for value-based exchange of data and - based on the idea of the innovators' marketplace - explains how data jackets can be utilized independently from the actual contents of the data. Specific chapters deepen the understanding of variables, constraints and intentions as constituent parts of data jackets, and the extension to variable quest, a process towards the design of data. A number of case studies showcases how the methods and processes presented can be employed in real-life contexts. Finally the authors present some extensions of the concept for web-based IMDJ and connections to business information system and an outlook.

This book provides a brief synthesis of the known implementations, opportunities and challenges at the intersection of artificial intelligence (AI) and modern industry beyond the big-four companies that traditionally consume and produce such advanced technology: Facebook, Amazon, Microsoft and Google. With this information, the author also makes some reasonable claims about the role of AI in future industries. The book draws on a broad range of material, including reports from consulting firms, published surveys, academic papers and books, and expert knowledge available to the author due to numerous collaborations in academia and industry on AI. It is rigorous rather than speculative, drawing on known findings and expert summaries, where available. This provides industry leaders and other interested stakeholders with an accessible review of contemporary perspectives on AI's forward-looking role in industry as well as a clarifying guide on the major issues that companies are likely to face as they commence on this exciting path.Examines the likely role of AI in industries of the future, both known and unknownPresents use-cases of AI currently being explored across Big Tech, multi-national corporations and start-upsExplores the regulation of AI and its potential impacts on the workforce

The ground segment is the fundamental backbone of every satellite project, yet it is usually not visible to the public or the end user of a satellite service. Also the bulk of existing published space literature tends to focus on the satellite or its subsystems. This book tries to fill this gap and addresses systems engineering concepts applied to the design, development, qualification, and deployment of the ground control segment required to operate a single satellite, a constellation, or even a manned space vehicle.The domain of ground segment engineering has significantly evolved in recent years, mainly driven by major advances in the IT sector. Hardware virtualisation or the availability of on-demand cloud computing services are typical examples of new technologies that have changed fundamental architectural concepts previously standard in heritage ground segments. Furthermore, the stark increase of cyber attacks - today a major risk to almost all critical IT based infrastructure - has made a cyber threat resilient architecture to become one of the indispensable design requirements for ground segment engineers. The new mega constellations recently put into space deploying up to several hundred of flying objects have put very demanding needs on the ground segment for automated satellite operations. These topics and more are addressed in the book's chapters, along with a detailed explanation of the most relevant components of a typical ground segment architecture. The basic functional requirements, design features, and the most important ground and space segment interfaces are addressed and explained in detail, supported by a wealth of figures for easier understanding.This book is kept at an introductory level, allowing newcomers to get familiar with this fairly complex subject matter. It is therefore suitable for graduate students, but can equally serve as a valuable source of information for already experienced space engineers who seek to gain a deeper understanding of the ground segment infrastructure and related systems engineering processes. It can also help project managers to better interact with their systems engineers, satellite developers to define their ground segment interfaces, and satellite operators to improve their flight and ground procedures. It is very well suited for everyone intending to start a career in satellite ground segment systems engineering.

Artificial intelligence (AI) is rapidly gaining significance in the business world. With more and more organizations adopt AI technologies, there is a growing demand for business leaders, managers, and practitioners who can harness AI¿s potential to improve operations, increase efficiency, and drive innovation.This book aims to help management professionals exploit the predictive powers of AI and demonstrate to AI practitioners how to apply their expertise in fundamental business operations. It showcases how AI technology innovations can enhance various aspects of business management, such as business strategy, finance, and marketing. Readers interested in AI for business management will find several topics of particular interest, including how AI can improve decision-making in business strategy, streamline operational processes, and enhance customer satisfaction.As AI becomes an increasingly important tool in the business world, this book offers valuable insightsinto how it can be applied to various industries and business settings. Through this book, readers will gain a better understanding of how AI can be applied to improve business management practices and practical guidance on how to implement AI projects in a business context. This book also provides practical guides on how to implement AI projects in a business context using Python programming. By reading this book, readers will be better equipped to make informed decisions about how to leverage AI for business success.

Digitale Supply Chains steigern die Wettbewerbsfähigkeit von Unternehmen. Eine systematische Vorgehensweise beschreibt die Entwicklung von Strategien, um mit der Supply Chain und deren Digitalisierung herausfordernde Unternehmensziele zu erreichen. Dazu zählen die bessere Erfüllung von Kundenanforderungen, Umsatzsteigerung und gleichzeitig Kostensenkung. Strategiemuster werden vorgestellt und deren Umsetzung in Unternehmen beschrieben. Unternehmer, Supply-Chain- und Operations-Führungskräfte erhalten einen praxisorientierten Leitfaden, wie sie Ihr Unternehmen für die Zukunft ausrichten können. Die vorgestellten, praxiserprobten Methoden und Ansätze beschleunigen und erleichtern nicht nur die Strategieentwicklung, sondern auch deren Umsetzung und die Unterstützung durch digitale Lösungen.Dabei stehen Make-/Buy-Entscheidungen, Lösungen für Entscheidung über Fähigkeiten, die digitale Lösungen in der Produktionstechnik (3D-Druck) sowie die Auswirkungen von Industrie 4.0 und Umweltaspekten auf die Supply Chain im Fokus. Praxisbeispiele zeigen, wie neue Lösungskonzepte die Auslegung von zukunftsgerichteten Supply Chains unterstützen. Ebenso werden die Triggerpunkte vorgestellt, die eine erfolgreiche Supply Chain in Frage stellen könnten, sowie die Gestaltung zur Zeit- und Kostenoptimierung in der Gesamtkette. Wie muss ein Unternehmen die historisch gewachsene Supply Chain grundsätzlich in Frage stellen? Was ist wichtig bei einer Supply Chain Optimierung? Die Betrachtung gilt den Strategien, die die Prozesse, Architekturen, die Nutzung digitaler Technologien, den Ressourceneinsatz bestimmen - unter Berücksichtigung der übergeordneten Unternehmensstrategie, die kürzere Lieferzeiten und geringeren Kosten fordert, um wettbewerbsfähig bleiben zu können. Es wird eine Handlungsanleitung zur strategischen Gestaltung für digitale Supply Chains vorgestellt.

This book constitutes the proceedings of the 16th IFIP Working Conference on the Practice of Enterprise Modeling, PoEM 2023, which took place in Vienna, Austria, during November 28 - December 1, 2023.PoEM offers a forum for sharing experiences and knowledge between the academic community and practitioners from industry and the public sector. This year the theme of the conference is Enterprise Modeling in the Circular Economy.The 12 full papers presented in this volume were carefully reviewed and selected from a total of 34 submissions. They were organized in topical sections named as follows: Enterprise modeling and artificial intelligence; emerging architectures and digital transformation; modeling tools and approaches; and enterprise modeling at work.

Rapidly developing Artificial Intelligence (AI) systems hold tremendous potential to change various domains and exert considerable influence on societies and organizations alike. More than merely a technical discipline, AI requires interaction between various professions. Based on the results of fundamental literature and empirical research, this book addresses the management's awareness of the ethical and moral aspects of AI.It seeks to fill a literature gap and offer the management guidance on tackling Trustworthy AI Implementation (TAII) while also considering ethical dependencies within the company. The TAII Framework introduced here pursues a holistic approach to identifying systemic ethical relationships within the company ecosystem and considers corporate values, business models, and common goods aspects like the Sustainable Development Goals and the Universal Declaration of Human Rights. Further, it provides guidance on the implementation of AI ethics in organisations without requiring a deeper background in philosophy and considers the social impacts outside of the software and data engineering setting. Depending on the respective legal context or area of application, the TAII Framework can be adapted and used with a range of regulations and ethical principles.This book can serve as a case study or self-review for c-level managers and students who are interested in this field. It also offers valuable guidelines and perspectives for policymakers looking to pursue an ethical approach to AI. 

This edited book presents scientific results of the 12th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2013) which was held on June 16-20, 2013 in Toki Messe, Niigata, Japan. The aim of this conference was to bring together scientists, engineers, computer users, and students to share their experiences and exchange new ideas, research results about all aspects (theory, applications and tools) of computer and information science, and to discuss the practical challenges encountered along the way and the solutions adopted to solve themThe conference organizers selected the best 20 papers from those papers accepted for presentation at the conference. The papers were chosen based on review scores submitted by members of the program committee, and underwent further rigorous rounds of review.

Big Data technologies have the potential to revolutionize the agriculture sector, in particular food safety and quality practices. This book is designed to provide a foundational understanding of various applications of Big Data in Food Safety. Big Data requires the use of sophisticated approaches for cleaning, processing and extracting useful information to improve decision-making. The contributed volume reviews some of these approaches and algorithms in the context of real-world food safety  studies.  Food safety and quality related data are being generated in large volumes and from a variety of sources such as farms, processors, retailers, government organizations, and other industries. The editors have included examples of how big data can be used in the fields of bacteriology, virology and mycology to improve food safety.  Additional chapters detail how the big data sources are aggregated and used in food safety and quality areas such as food spoilage and quality deterioration along the supply chain, food supply chain traceability, as well as policy and regulations. The volume also contains solutions to address standardization, data interoperability, and other data governance and data related technical challenges. Furthermore, this volume discusses how the application of machine-learning has successfully improved the speed and/or accuracy of many processes in the food supply chain, and also discusses some of the inherent challenges. Included in this volume as well is a practical example of the digital transformation that happened in Dubai, with a particular emphasis on how data is enabling better decision-making in food safety. To complete this volume, researchers discuss how although big data is and will continue to be a major disruptor in the area of food safety, it also raises some important questions with regards to issues such as security/privacy, data control and data governance, all of which must be carefully considered by governments and law makers.

This book brings together selected papers from the Fourth International Conference on Research in Management and Technovation held in Hanoi, Vietnam, in 2023, with a focus on defining action-based plans around innovation and technology as tools for societal and organizational advancement. Today's business and technology intersections are obvious. Cloud-sharing, scheduling, and virtual conference rooms are some of the few examples. Cutting-edge academic researchers use business and technology every day to navigate volatility, uncertainty, complexity, and ambiguity (VUCA) in the environment, make good judgments, stay ahead of the competition, better their marketing tactics, and create new business initiatives. The research highlighted in this book aims to demonstrate how technology empowers managers, strategists, and researchers to make decisions that are data-driven and effective.

This book describes the control loop-oriented change management process for implementing a digital business model via the holistic Organization 4.0 MITO configuration management. The content chapter structure of this MITO book with the description of the different transformation design views is based on the higher-level operational control loop principle within the MITO model segments shown in Figure 1. Whereby the management segment (M) is still subdivided on the default side into the process-related management segment and on the feedback side into the fact-related management segment. The MITO business model based on this supplements the 5 model segments with the downstream customer and upstream supplier segments and integrates the hierarchical process level model into the MITO model representation for the conception of the process-oriented target, management and control system.This book is a translation of the original German 1st edition Ganzheitliche Businessmodell-Transformation by Hartmut F. Binner, published by Springer Fachmedien Wiesbaden GmbH, part of Springer Nature in 2020. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors.

This book aims to increase the success rates of startups by focusing on value proposition innovation, which is propelled by the involvement of potential consumers as well as other resources such as freelancers and strategic relationships with academia. The author shows how startups who are resource constrained can invest efforts exploring the potential market of their products. The author also explores how global markets can be beneficial for a startup's success, while showing the workarounds in hard-to-access markets. The book investigates gaining knowledge shared by freelancers, customers, and academia, whose involvement can be crucial in supporting value proposition innovation activities such as ideas generation, implementation, and commercialization. Combined, the author leads readers to discover their ability to foster value proposition innovations that result into long term competitive advantage in a highly fluctuating business environment.

This book comprehensively introduces readers to Digital Twins, from the basic concepts, core technologies and technical architecture, to application scenarios and other aspects. Readers will gain a profound understanding of the emerging discipline of Digital Twins. Covering the latest and cutting-edge application technologies of Digital Twins in various fields, the book offers practitioners concrete problem-solving strategies. At the same time, it helps those working in Digital Twins-related fields to deepen their understanding of the industry and enhance their professional knowledge and skills. Given its scope, the book can also be used as teaching material or a reference book for teachers and students of product design, industrial design, design management, design marketing and related disciplines at colleges and universities. Covering a variety of groundbreaking Digital Twins technologies, it can also provide new directions for researchers.

Changes in the environment such as trends, drivers, and influencing factors affect entrepreneurship and intrapreneurship in several ways. The changes of the environmental factors in several dimensions such as political, economic, socio-cultural, technological, ecological, and legal. On the one hand, the environmental changes include risk for existing business models. On the other hand, they include opportunities for new business models, entrepreneurship, intrapreneurship, and new insights in marketing.This book provides empirical and conceptual papers and studies that tackle the challenges and opportunities for entrepreneurship in the digital era. It offers professionals, managers, researchers, lecturers, and students from the fields of entrepreneurship, innovation management, and business development valuable insight into the topic of entrepreneurship in times of digitalization.

Nach dem Einzug von Everything as a Service-Modellen in der IT-Branche, tauchen diese nun auch in der Industrie auf. Equipment as a Service (EaaS) birgt das Potenzial die Kundenzentriertheit, den Erfolg und die Nachhaltigkeit eines Unternehmens zu erhöhen und bestehende Angebote zu reformieren. Allerdings erfordert dies starke Veränderungen im ganzen Unternehmen, denn die Bereitstellung von EaaS-Modellen ist besonders komplex. Das Ziel dieses Buchs ist es, diese Komplexität zu reduzieren und Erfolgsfaktoren für die Bereitstellung von EaaS-Modellen zu identifizieren. Zunächst erfolgt eine Einordnung der verschiedenen EaaS-Modelle anhand einer Literaturrecherche. Dazu können verschiedene charakteristische Merkmale, wie das Erlösmodell, der Reifegrad oder das angebotene Equipment herangezogen werden. Als Nächstes werden durch Experteninterviews Erfolgsfaktoren für alle Elemente eines EaaS-Geschäftsmodells ermittelt. Insgesamt werden 39 Erfolgsfaktoren in 10 Kategorien identifiziert, derenWirkungsrelationen betrachtet und bewertet sowie die Relevanz der weichen Faktoren festgestellt.

"The Self-Driving Company" offers strategic insights to management professionals seeking to navigate the evolving business landscape. This visionary book presents a comprehensive vision of the autonomous enterprise, encompassing key elements such as autonomy, sustainability, humanity, and resilience. Delving into the year 2035 and beyond, it charts a clear path toward the self-driving company and its transformative potential.From understanding the levels of autonomy to exploring the power of software, algorithms, and artificial intelligence, this book equips leaders with the knowledge to shape their organizations for success. Gain practical guidance on overcoming challenges, embracing digitization, and revolutionizing value creation. Discover new forms of organization that transcend hierarchies and learn how automation can optimize interactions with customers, partners, and suppliers."The Self-Driving Company" also examines the crucial role of humans in this automated ecosystem. With thought-provoking theses and real-world examples, it offers valuable insights into leadership, management, and the evolving roles of knowledge workers, employees, and auxiliary staff. As the future of management unfolds, this book serves as a compass, enabling strategic decision-making and positioning businesses to thrive in an era defined by automation and human potential.