Bücher der Reihe Management for Professionals

This textbook introduces systems science as an entry point to present a basic introduction to research models and methods in management science (operation research). This textbook selects the classic quantitative models and methods as well as rich cases and detailed examples, which are suitable for students with a certain management and economics knowledge for further study, and helps to develop the abilities of using the basic models in real life.

This book aims to provide a systemic viewpoint for enterprise to establish the warranty chain management system. This book includes warranty management practice, reverse logistics, product reliability engineering, data statistics and analysis, industry 4.0 and artificial intelligence, circular supply chain and sustainable design, and other basic theories and case descriptions.  The author has many years' experience in academic and industrial management, and provides a management framework that especially takes into account (1) the implementation aspect - promotion of warranty plan and statistical analysis of data; (2) strategic aspect - digital application and sustainable development, with an overall system building point of view to describe the steps of warranty chain management step by step.  There are rich industry cases in this book which has highly reference value for students, researchers and practitioners. Also this book fits to be used as teaching and training material in engineering management, which builds an overview of the product life cycle management from warranty service till the recovery stage.

This book is an exploration of the people analytics possibility, bringing out both theoretical frameworks and detailed practical case studies from the author's experience in industry and business across both sides of the table, with an understanding of data science models and SMAC (Social, Mobile & Cloud) technologies underpinning it. It further explores and lays out a business case for why organizations need to invest behind this space and why HR functions and businesses need to embrace and adopt it. The book examines how people analytics makes a difference to business, describes stages of adoption and maturity models for its effective deployment in organizations and explores the journey from employee master data management and conversion to reporting and visualizations to dash-boarding and descriptive analytics, operational analytics to finally predictive modelling.  The book provides insights on the impact of big data and social networks on HR and talent frameworks and the opportunity for HR to mine these networks with a view to culling out predictive insights for the business. It also describes in great detail the specific applications of people and talent analytics through case examples. The book discusses and makes the case for HR to be metric driven focused on business outcomes. It enumerates upon "e;lead"e; and "e;lag"e; indicators and the need to leverage relevant measurement systems. It provides an understanding of relevant statistical tools that could be deployed to mine key insights from the data to enable robust decision-making, and examines the power of "e;visual intelligence"e; and data representation that goes beyond traditional tools like Excel.This book is for HR practitioners who seek to challenge the status quo. It does so by helping them leverage a data and evidence based approach; asking the right questions and building new capabilities with a view towards leading change and driving transformation both in their domain, the wider business and the larger organization. The book is also useful for HRM students to gain a deep understanding of "e;people analytics"e; as a critical sub-domain within HR. "e;HR is not just about people but now also about Tech, Data and Analytics. Upgrading numerical/analytics skills in order to have greater impact on the business, is the new wave of HR, which Rahul helps address via his own rich experience."e;-       Gurprriet Siingh, Managing Director, Russell Reynolds Associates, Mumbai, India. "e;This book would help HR & Leadership Teams find a way of discarding perceptions and uncovering truth by embracing data patterns as opposed to just continuing with incremental changes to how it has always been. This is particularly so of successful organizations."e;-       Vikas Gupta, Divisional Chief Executive Officer, Education and Stationery Products Business, ITC Limited, Gurugram, India.

This is the first of its kind book that describes key elements of enterprise data and analytics strategy, and prescribes a pragmatic approach to define the strategy for large enterprises. The book is based on successful digital transformation experience of multiple Fortune 500 and other large enterprises. It is estimated that more than 50% of data and analytics initiatives fail globally because of the inherent complexity of such initiatives. Some of the questions that enterprises struggle with are: How to define enterprise data and analytics strategy? What are the key elements that should be considered while doing so? Why one-size-fits-all approach does not work for all enterprises? How to align data and analytics initiative with the business strategy of the CEO? How to establish a futuristic technology and architecture foundation, given the exponential rate of innovation in data and analytics technologies? How to define the right data and analytics organization model? Why data and analytics organization and processes need to be different from other functions? How to manage organizational change to ensure success of data and analytics initiative? How to define a business value measurement framework and calculate ROI from data and analytics initiative? What are the key skills required in a data and analytics leader to wade through political and other challenges of a large enterprise? This book will help executives, chief digital/analytics officers, data and analytics professionals, and consultants, in answering the above questions. It will help them in addressing various dilemmas that they face every day and making their enterprises data-driven.

This book illustrates how to access the right information for making the best decisions during turbulent times. It is written from an experienced-based perspective that is beneficial for those looking for the development and improvement of the decision-making process. The approach is centered on the author's experience in developing and implementing effective and efficient approaches to decision-making in business and government. Based on those experiences, this book provides insights into how to improve the decision making process of your organization, whether it be large or small.For decision makers and those providing market information for making decisions, this book provide guidelines for a framework which includes systems thinking. For those interested in change management and corporate governance, the book presents examples where it was done well and some examples where it was not and the ensuring consequences.

The book addresses a modern reorientation of Lean, abandoning the classical waste dogma that brings direct efficiency gains and substituting by a way to achieving indirect efficiency in a continuous and sustainable manner. Waste is the output of a process that cannot be of further use, while value is a matter of valuation, a process whose output we conceive to be of further use. Value and waste are not antithetical, they are just not comparable issues. We achieve added value to the modern Lean Enterprise through synergies that bring sustainable economic benefits to the company. Such synergies use the complementarity theory developed by Milgrom and Roberts in 1990 on the principle that we can achieve maximal gains via the joint investment on complement activities and not investing. Complementarity is not something specific to Lean Enterprises; however, Lean Enterprises can benefit the most from such a concept. The reason is that Lean uses the principle of achieving more with less effort. Less effort does not mean the use of fewer resources, but the use of resources in a complementary way in order to achieve more, rather than using them. Complementarity is a feature by design. Complementarity by design will help modern Lean companies have an easier transition in the digital era and the new world of Industry 4.0. In this second edition, we have preserved the method of how to achieve Lean and have enhanced it to show how to move towards modern Lean within Industry 4.0 paradigm. However, if a company has not yet made the Lean step, there is no need to make that step first before yielding the benefits. Technology is the key. Modern Lean Enterprise strengthens out of the old paradigm into the new one of Industry 4.0. Because of evolution, such an enterprise achieves optimal technological complementarity necessary for synergies that sustain increasing profits.

The book aims to present a multi-dimensional view on the blockchain-driven supply chain management and its linkage with open innovation, digital technologies, supply chain sustainability, mapping, visibility, and resilience. It offers topic from three important themes: first, what is the architecture and design of BCSCM and how does it differ from the conventional supply chains; second, performance impacts of BCSCM; and third, implementation challenges and role of leadership. Hence, the book provides a diverse perspective on the understanding, architecture, impacts, and implementation of blockchain-driven supply chain management. It shows the importance of blockchain-driven supply chain management for contemporary organizations: how it contributes to supply chain traceability, resilience, and sustainability.The book also demonstrates as to how adoption of blockchain-driven supply chain management requires to consider intangible forms of intellectual capital (human, processes,and relationships), which is different from more traditional forms. This is a book for supply chain management practitioners, researchers, and academician who want to understand the role of blockchain in supply chain, for supply chain managers who want to be at the cutting edge by adopting the BCSCM, for those early in their careers who seek a challenging new path, and for the top-level managers of the world who have their eye on the future.

This book examines intellectual property (IP) as an important value driver for start-ups. Businesses of all sizes are inevitably confronted with intellectual property issues at some point, but start-ups and their collaborators face unique challenges and opportunities in IP management. Identifying, generating, and exploiting intellectual property can lead to sustainable competitive advantages and avoidance of risks. Many start-ups sense the complexity of IP management and therefore place their energy elsewhere. However, the clear conclusion to be drawn from this unique collection of contributions is that putting an IP management strategy in place is critical to the successful development of a business. Prof. Dr. Martin A. Bader and Prof. Dr. Sevim Süzerölu-Melchiors have years of experience as consultants, entrepreneurs, business owners, and researchers where they saw firsthand the need for a comprehensive yet practical resource for start-ups and their key stakeholders.This book explores different perspectives in dealing with IP from six different angles: the start-up¿s view, the investor¿s view, the corporation¿s view, the university¿s view, the global IP office¿s view, and the advisor¿s view. Each section consists of chapters written by leading experts from around the globe including Silicon Valley, Canada, Israel, Switzerland, Germany, Finland, France, Australia, Brazil, India, Japan, Singapore, and South Africa. Contributors bring practical experience from a wide range of sectors, such as information and communication technology, software, artificial intelligence, machine learning, cybersecurity, industrial automation, internet of things, life sciences, pharma, crop science, biotech, medtech, mining, sustainability, climate tech, and even quantum technologies. This timely publication serves as a guidebook for entrepreneurs and other key stakeholders in the start-up ecosystem. It empowers founders to develop their own IP management strategyto mitigate risk, create and capture value, and lay the groundwork for sustainable growth. An essential reference for start-ups to achieve business excellence.¿This edited book volume offers valuable insights, bringing together perspectives of key stakeholder groups from a wide variety of innovation ecosystems ¿ an invaluable resource.¿ ¿Carsten Fink, Chief Economist, World Intellectual Property Organization, Geneva¿A timely book for those wanting a clear overview of the issues the different players encounter in the start-up ecosystem. A useful resource indeed. Congratulations to the editors and team.¿¿Audrey Yap, Managing Partner YUSARN AUDREY LLC, Past President LESI, Chairman Singapore Innovation & Productivity Institute, Singapore¿A ¿must read¿ for all innovators in the start-up world. It is truly a fantastic book and one I would recommend being bought and read (in full)!¿¿Laurence Freeman, Professor (Adjunct), CU Denver Business School, Jake Jabs Center for Entrepreneurship, Denver, Colorado, United States

This is one of the first books to combine the current megatrend of digitalization and pricing as the most effective lever for increasing and sustaining profits. The book presents the basics of digital pricing as well as modeling methods and implementation examples. This structure helps in tackling the latest developments and challenges due to digitalization. Readers will gain a detailed insight into using innovative revenue and price models to generate a sustainable competitive advantage for their companies. The author uses his cross-industry experience to draw on several examples of innovative digital pricing approaches which can be applied in industrial sectors such as automotive, industrial goods and machinery, as well as service sectors like telecommunications, transportation and tourism.

End of 2022, nearly 200,000 people indicated holding a position as a customer success manager on LinkedIn. Customer success management (CSM) is thus the fastest growing business function. It was first implemented in selected service businesses, but currently CSM applications are spreading globally across industries.This book provides a clear understanding of CSM for practitioners based on comprehensibly prepared knowledge from practical and scientific resources. The book can be used as a practical guide to learn about CSM process and the roles, necessary capabilities, and expectations toward customer success managers. Furthermore, it also shows how CSM differs from and, at the same time, relates to existing customer-related management concepts such as value-based selling, key account management and customer relationship management. The presented insights are not only relevant for customer success managers, but also for those aiming at such a position in the future. The bookis also useful for supplier and customer representatives who are connected with customer success management activities in their daily business.

This book presents a rich selection of 36 real-world cases on how organizations in China explore the new growth pattern, business model innovation, and digital transformation in digital era. The topic of cases varies from digital marketing and Internet brands, the growth of digital platforms, digital transformation and the industrial Internet of things, strategies for cross-border e-commerce companies, and business model innovation in digital era, etc. These cases stem from a diverse set of industry sectors, reporting on best practices and lessons learned. The book shows how organizations strive to find new ways to develop and create new paths to grow in a digital world and shares essential practical insights into digital economy. All cases are presented in a standardized structure in order to provide valuable insights and essential guidance for practitioners, scholars as well as general readers.

Many companies fail to acknowledge and analyze disparities observed among customers and simply put them down to culture or emotion. New neuroendocrinological research proves that people are rational: They just have a different biological perception of the same stimulus. Their preferences, behavior, and decisions are strongly influenced by the hundreds of millions of sensors monitoring their body and brain. People with more taste buds are, for example, sensitive to bitterness and are more likely to drink their coffee with sugar or milk, or to drink tea.This book helps product managers, marketers, and corporate decision-makers understand and predict customers¿ behavior and preferences. It provides the tools to design the right sensory mix (color, shape, depth, taste, smell, texture, and sound) for each product, and fine-tune their positioning and range for every local market. Using cases from different sectors, the author shows that this approach delivers planet and people-friendly innovations which have a higher chance of success in the market.

This book offers a comprehensive approach to organizational excellence based on the author¿s vast experience in managing excellence at highly innovative and dynamic organizations. It integrates various approaches into a consistent view of achieving excellence in the context of dynamic technological and societal developments. Starting from purpose and mission, it describes stakeholder mapping and analysis, and process and quality management. In turn, it sheds light on how to deal with business dynamics of various types and demonstrates how quantum-mechanical models can help to understand and manage dynamic organizational processes. The book then introduces readers to result measuring and performance management, followed by organizational learning and rewards and recognition. Moreover, it discusses (innovation) ecosystem leverage and organizational culture management as further important capabilities of excellent organizations. Best practices in corporate social responsibility and environmental, social and governance aspects are fully integrated throughout the book, which concludes by explaining how the UN Sustainable Development Goals can be applied to optimize business initiatives. The book is intended as a source of inspiration for managers working under highly dynamic organizational conditions, helping them take their businesses to higher levels. It also provides valuable industrial insights for scholars with an interest in organizational excellence.

This book clarifies based on latest findings and research what one needs to know about marketing and sales automation, how to manage projects to implement them, select and implement tools, and what results can be achieved. It also outlines what can be expected in the future such as the automation of corporate communication and Human Resources.The range of topics spans from the creation of a valid data base in the context of applied AI for realizing predictive intelligence and the effects of data regulations such as the European General Data Protection Regulation (GDPR) when addressing customers and prospects to recommendations for selecting and implementing the necessary IT systems. Experts also report on their experiences in regard to Conversion-rate-optimization (CRO) and provide tips and assistance on how to optimize and ensure the highest RoI for marketing and sales automation. A special focus will be placed on the dovetailing of marketing and sales and the management of the customer journey as well as the improvement of the customer experience.

This book provides professionals and academics with a holistic and practical approach to virtual and innovative quality management (QM) throughout the business value chain. It describes how to manage the value change from the supply side combining all functions of the value chain and contains best practices in performance, particularly in the production, trading, service, and information industries. It explores such topics as integrated management systems (IMS), extended reality, artificial intelligence, and environmental social governance (ESG). Industry examples and case studies are used to reveal the diversity of opportunities for QM methodologies and principles. This book is an ideal guide for professionals and practitioners who wish to incorporate QM concepts to achieve a competitive advantage across all business functions.

This book aims to provide the industrial upgrading and business scenario improved and boosted by 5G, as well as to forecast the typical industry application with a 6G vision. At the beginning of the book, it builds an overview of how 5G stimulates industrial transformation in the global digitalization wave, involving its commercial use, policy support, and application development around the world. Also it summarizes the main challenges of 5GtoB in large-scale replication from the perspective of methodology and deduce its development path and future form oriented to XtoB. The author demonstrates the typical applications of 5G in key industries based on a large number of practices and propose common capabilities and essential components for large-scale replication, and details the progress in the convergence of 5GtoB and industry standards. It presents the 6G vision and innovative ToB enabling technologies and describe key technologies, including semantic communication, on-purpose network, and cell-free ultra-massive cooperative MIMO. As conclusion, it forecasts the typical industry applications of 6G, such as metaverse, man¿machine interaction, and hyper-connected future city.

The book complements the current body of knowledge in business-to-business marketing with the experience of many professionals ranging from marketers to top management of a leading automotive semiconductor supplier worldwide. It presents unique and adaptable practical concepts, case studies, and tested models from practice. The book operationalizes the theory of approaches such as omni-channel marketing, and target driven performance marketing into practical and actionable approaches in large B2B companies in automotive sectors. The change management nature of the digital transformation of marketing is a common thread throughout the book and the experience of more than 10 practitioners, allowing readers to relate the content directly to their own business reality.

The rise of China poses a significant challenge to the existing, Western-dominated world economic order. The effectiveness of the Regional Comprehensive Economic Partnership (RCEP) is contingent on a smooth transition of the world¿s economic center toward the Asia-Pacific Region. For Western investors, the vast market opportunities can be tempting. However, the lack of experience and knowledge of international management in China ¿ a country with radically different business rules and cultural background ¿ poses a substantial risk.This book provides comprehensive insights into the fast-changing business world in China. Based on the authors¿ theoretical knowledge and invaluable years of practical experience, it discusses the various options for doing business in China, with current examples that demonstrate how European SMEs can successfully position themselves between multinational companies and local competitors. It also highlights new opportunities arising from Chinäs international involvement (New Silk Road, RCEP) and addresses risk management for European SMEs operating in China. Moreover, it sheds light on how to form relationships of mutual trust between Chinese policymakers and their advisors/cooperation partners from abroad.Readers with an interest in doing business in China will find this book particularly valuable.

This book comprehensively assesses the growing importance of project data for project scheduling, risk analysis and control. It discusses the relevance of project data for both researchers and professionals, and illustrates why the collection, processing and use of such data is not as straightforward as most people think. The theme of this book is known in the literature as data-driven project management and includes the discussion of using computer algorithms, human intuition, and project data for managing projects under risk.The book reviews the basic components of data-driven project management by summarizing the current state-of-the-art methodologies, including the latest computer and machine learning algorithms and statistical methodologies, for project risk and control. It highlights the importance of artificial project data for academics, and describes the specific requirements such data must meet. In turn, the book discusses a wide variety of statistical methods available to generate these artificial data and shows how they have helped researchers to develop algorithms and tools to improve decision-making in project management. Moreover, it examines the relevance of project data from a professional standpoint and describes how professionals should collect empirical project data for better decision-making. Finally, the book introduces a new approach to data collection, generation, and analysis for creating project databases, making it relevant for academic researchers and professional project managers alike.

This book aims to build a framework for understanding how to achieve new business growth through digital intelligence. It reveals the driving force and commercial logic behind the technology upgrade and transformation for enterprises, analyzes how to improve enterprises' branding, product, distribution channel, marketing, logistics, and organization under the new context, and studies the successful cases in digital intelligence of 6 Chinese enterprises. For business school students, researchers, managers, and practitioners, it is helpful to build an overview and understanding on strategy level as well as practice level.