Page 7
Page 7
Disseminative Capabilities : A Case Study of Collaborative Product Development in the Automotive Industry
Nowadays, cooperating in Product Development seems to be a dominant strategy to lower costs and risks, to fully utilize capacities, and to gain access to lacking knowledge assets. Oppat analyzes cooperations in Product Development with a special focus on the automotive industry. He seeks answers to the question of how knowledge transfer between involved partners takes place. Although knowledge transfer and its success levers (e.g. absorptive capacity) are well-researched phenomena, equivalent investigations of the sender and her capabilities (DiC - Disseminative Capabilities) impacting inter-organizational transfer success are lacking. The in-depth case studies conducted concentrate on joint car development projects between Magna Steyr, an Austrian-based company, and German-based BMW, Mercedes Benz, and Audi. The research results clearly indicate that DiC have an impact on the knowledge transfer process and can explain why the analyzed projects differ in terms of transfer success. Based on the research findings, this work provides managerial implications for all eight dimensions of DiC and, by deploying insights from the empirical investigations, outlines ways to develop them successfully.
Discrete-Time Markov Chains : Two-Time-Scale Methods and Applications
The motivation stems from existing and emerging applications in optimization and control of complex hybrid Markovian systems in manufacturing, wireless communication, and financial engineering. Much effort in this book is devoted to designing system models arising from these applications, analyzing them via analytic and probabilistic techniques, and developing feasible computational algorithms so as to reduce the inherent complexity. This book presents results including asymptotic expansions of probability vectors, structural properties of occupation measures, exponential bounds, aggregation and decomposition and associated limit processes, and interface of discrete-time and continuous-time systems. One of the salient features is that it contains a diverse range of applications on filtering, estimation, control, optimization, and Markov decision processes, and financial engineering.
Discrete Optimization with Interval Data : Minmax Regret and Fuzzy Approach
This book is a valuable source of information for all operations research practitioners who are interested in modern approaches to problem solving. Apart from the description of the theoretical framework, it also presents some algorithms that can be applied to solve problems that arise in practice.
Digital Transformation in Norwegian Enterprises
Presents a number of case studies on digital transformation in Norway, one of the fore-runners in the digital progress index established by the European Commission in 2020. They explore the process of adoption, diffusion and value generation from digital technologies, and how the use of different digital solutions has enabled Norwegian enterprises to digitally transform their operations and business models.
Digital Entrepreneurship : Impact on Business and Society
Explores the global challenges and experiences related to digital entrepreneurial activities, using carefully selected examples from leading companies and economies that shape world business today and tomorrow. Digital entrepreneurship and the companies steering it have an enormous global impact; they promise to transform the business world and change the way we communicate with each other. These companies use digitalization and artificial intelligence to enhance the quality of decisions and augment their business and customer operations. This book demonstrates how cloud services are continuing to evolve; how cryptocurrencies are traded in the banking industry; how platforms are created to commercialize business, and how, taken together, these developments provide new opportunities in the digitalized era. Further, it discusses a wide range of digital factors changing the way businesses operate, including artificial intelligence, chatbots, voice search, augmented and virtual reality, as well as cyber threats and data privacy management.
Digital business strategies in blockchain ecosystems : Transformational design and future of global business
Analyzes the effects of the latest technological advances in blockchain and artificial intelligence (AI) on business operations and strategies. Adopting an interdisciplinary approach, the contributions examine new developments that change the rules of traditional management. The chapters focus mainly on blockchain technologies and digital business in the "Industry 4.0" context, covering such topics as accounting, digitalization and use of AI in business operations and cybercrime.
Digital analytics for marketing
Provides students with a comprehensive overview of the tools needed to measure digital activity and implement best practices when using data to inform marketing strategy. It is the first text of its kind to introduce students to analytics platforms from a practical marketing perspective. Also demonstrates how to integrate large amounts of data from web, digital, social, and search platforms, this helpful guide offers actionable insights into data analysis, explaining how to "connect the dots" and "humanize" information to make effective marketing decisions. It overs timely topics, such as social media, web analytics, marketing analytics challenges, and dashboards, helping students to make sense of business measurement challenges, extract insights, and take effective actions. The book’s experiential approach, combined with chapter objectives, summaries, and review questions, will engage readers, deepening their learning by helping them to think outside the box.
Development and evaluation of setup strategies in printed circuit board assembly
The last decade has seen a rapid extension of electronic control devices for various types of technical products. In modern electronics manufacturing, highly automated assembly systems are used to mount the electronic components onto the printed circuit boards (PCBs). Maintaining high production flexibility in order to meet the desired product variety and, at the same time, achieving high utilization rates of the capital-intensive production equipment can only be achieved by applying highly sophisticated planning and control strategies for the operation of modern placement machines. Ihsan Onur Yilmaz develops a novel group setup strategy which integrates multiple problems of the PCB assembly, especially in a medium-variety production environment. At the core of his principle approach are the identification of similarities between different types of PCBs and the generation of PCB clusters upon which group setup strategies are based. The developed setup strategies are also innovative in the sense that they integrate the optimization of detailed machine operations. This integration has not been achieved in the classical approaches which primarily rely on statistical clustering techniques.
Design of advanced manufacturing systems : Models for capacity planning in advanced manufacturing systems
The aim of this book is to provide a framework and speci?c methods and tools for the selection and con?guration of capacity of Advanced Manufacturing Systems (AMS). In particular this book de?nes an - chitecture where the multidisciplinary aspects of the designofAMSare properly organized and addressed. The tool will support the decisi- maker in the de?nition of the con?guration of the system which is best suited for the particular competitive context where the ?rm operates or wants tooperate. Thisbookisofinterest for academic researchers in the ?eldofind- trial engineering and particularly indicated in the areas of operations and manufacturing strategy.
Design and Construction of Tunnels : Analysis of controlled deformation in rocks and soils (ADECO-RS)
It uses the advance core (the core of ground ahead of the face) as a structural tool for the long and short term stabilisation of tunnels, after its rigidity has first been regulated using conservation techniques. Tunnels can consequently be driven in difficult stress-strain conditions to predetermined safety standards with operations industrialised and scheduled precisely.
Dental Image Processing for Human Identification
This book presents an approach to postmortem human identification using dental image processing based on dental features and characteristics, and provides information on various identification systems based on dental features using image processing operations.
Deep Data Analytics for New Product Development
The benefits of reading this book are twofold. The first is an understanding of the stages of a new product development process from ideation through launching and tracking, each supported by information about customers. The second benefit is an understanding of the deep data analytics for extracting that information from data. These analytics, drawn from the statistics, econometrics, market research, and machine learning spaces, are developed in detail and illustrated at each stage of the process with simulated data. The stages of new product development and the supporting deep data analytics at each stage are not presented in isolation of each other, but are presented as a synergistic whole.
Decomposition Techniques in Mathematical Programming : Engineering and Science Applications
This textbook for students and practitioners presents a practical approach to decomposition techniques in optimization. It provides an appropriate blend of theoretical background and practical applications in engineering and science, which makes the book interesting for practitioners, as well as engineering, operations research and applied economics graduate and postgraduate students. "Decomposition Techniques in Mathematical Programming" is based on clarifying, illustrative and computational examples and applications from electrical, mechanical, energy and civil engineering as well as applied mathematics and economics. It addresses decomposition in linear programming, mixed-integer linear programming, nonlinear programming, and mixed-integer nonlinear programming, and provides rigorous decomposition algorithms as well as heuristic ones.
Decision Procedures : An Algorithmic Point of View
Concentrates on decision procedures for first-order theories that are commonly used in automated verification and reasoning, theorem-proving, compiler optimization and operations research.
Decision Modeling and Behavior in Complex and Uncertain Environments
Devoted to examining new research at the interface of operations research, behavioral and cognitive sciences, and decision analysis. In these 14 self-contained chapters, four themes emerge, providing the reader with a variety of perspectives both theoretic and applied to meet the challenges of devising models to understand the decision-making process. The main broad topics include: the integration of decision analysis and behavioral models / innovations in behavioral models / exploring descriptive behavior models / experimental studies
Decision Making under Deep Uncertainty : From Theory to Practice
Focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them.
Data Center Handbook : Plan, Design, Build, and Operations of a Smart Data Center ; 2nd ed.
Explains the fundamentals, advanced technologies, and best practices used in planning, designing, building and operating a mission-critical, energy-efficient, sustainable data center. This handbook, in its second edition, covers anatomy, ecosystem and taxonomy of data centers that enable the Internet of Things and artificial intelligent ecosystems and encompass the following: Data center overview and strategic planning Data center technologies Data center design and construction Data center operations technologies
Data analytics, computational statistics, and operations research for engineers : Methodologies and applications
Presents applications of computationally intensive methods, inference techniques, and survival analysis models. It discusses how data mining extracts information and how machine learning improves the computational model based on the new information.
Data Analysis and Decision Support
Presents advances in data analysis and decision support and gives an actual overview on the interface between mathematics, operations research, statistics, computer science, and management science. Areas that receive considerable attention in the book are discrimination and clustering, multidimensional scaling, data mining and more.
Crowd investment platform
Investment platforms are challenging the grip of massive business on the venture sector and are providing new means of power to the crowds. It is of no surprise that new and interesting equity sharing platforms are now disrupting the convention practices of the market. There are a number of concerns that the user faces, including legal, commercial and security concerns, as well as concerns about trusting these platforms in investment operations, especially in the financial transfer process between the user and companies. We built a site that reduces the presence of these concerns and protects the user from fraud, as we store money transfers and investment operations between users and companies or users and other users within a smart contract that brings them together and the amount that will be invested in the blockchain that encodes this contract and makes it public only to its owners.
