This book offers a comprehensive overview of Japan's media policies. In light of the attention Japanese media content has attracted in recent years, not only in Japan but also overseas, the book examines the media industry that supports such content. Beginning with the traditional terrestrial broadcasting industry, it also covers cable TV, satellite broadcasting, and over-the-top media services (OTT), as well as media policies for film, animation, games and music. The Ministry of Internal Affairs and Communications (MIC), a key media industry regulator in Japan, has been developing broadcasting policies for more than 70 years, and while their traditional policies have not changed in principle, the scope of their business sphere has expanded. For instance, major broadcasting stations in Tokyo, known as key stations, have played an important role in filmmaking with the big four film companies, and have started joint ventures with major OTT, such as Hulu. This book allows readers to gain a comprehensive understanding of the changes in the Japanese media industry in general and the related policies in Japan, while also offering insights into developments in the individual sectors.

This textbook provides guidance to both students and practitioners of enterprise architecture (EA) on how to develop and maintain enterprise models. Rather than providing yet another list of EA notations and frameworks from A to Z, it focuses on methods to perform such tasks. The problem of EA maintenance, named Enterprise Cartography, is an important aspect addressed in this book because EA is a never ending challenge that increases as the organization transformations pace also increases. The long time perspective also entails the evolution of architectural frameworks and notations, something that does not occur when developing new models. Thus, a catalogue of patterns, principles and methods is presented to develop and maintain EA models and views. After a general introduction to the book in chapter 1, chapter 2 presents basic concepts for EA modeling. Chapter 3 further details the set of EA concepts needed to present the patterns, and principles, which are subsequently introduced in chapter 4. Next, chapter 5 describes enterprise cartography concepts and principles. The remaining book then turns to techniques and methodologies. In chapter 6 an EA development method is summarized. In chapter 7 an enterprise strategy design approach is proposed, while in chapter 8 a business process design methodology is described. Chapters 9 and 10 focus on information architecture and information systems architecture design approaches, including information systems architecture planning and application portfolio management. Eventually, chapter 11 describes a method for enterprise cartography (EC) design. Last not least, several case studies on EA and EC are proposed in the last chapter.

This book adopts the managerial perspective to the study of smart cities. As such, this book is a necessary addition to the existing body of literature on smart cities. The chapters included in this book prove the case that transformation of cities to smart cities is a function of effective and efficient management practices implemented at diverse levels of smart cities. While advances in information and communication technology (ICT) are crucial, it is the ability to apply ICT consciously and efficiently that drives the transformation of cities to smart cities in a manner conducive to cities' sustainability and resilience. The book covers three sets of interconnected topics: Management and decision-making for urban design and infrastructure development Management and decision-making in context of smart cities development Ways of promoting and ensuring participation, representation and co-creation in smart cities These three groups of topics offer a great opportunity to acquire a clear, direct, and practice-driven knowledge and understanding of how effective management allows ICT-enhanced tools and applications to change smart cities, possibly making them smarter.

"Service Level Agreements for Cloud Computing" provides a unique combination of business-driven application scenarios and advanced research in the area of service-level agreements for Clouds and service-oriented infrastructures. Current state-of-the-art research findings are presented in this book, as well as business-ready solutions applicable to Cloud infrastructures or ERP (Enterprise Resource Planning) environments. "Service Level Agreements for Cloud Computing" contributes to the various levels of service-level management from the infrastructure over the software to the business layer, including horizontal aspects like service monitoring. This book provides readers with essential information on how to deploy and manage Cloud infrastructures. Case studies are presented at the end of most chapters. "Service Level Agreements for Cloud Computing" is designed as a reference book for high-end practitioners working in cloud computing, distributed systems and IT services. Advanced-level students focused on computer science will also find this book valuable as a secondary text book or reference.

This book addresses the concept of organizing which is centered around collective learning and on the organization paradigm. It presents a theory of organizational learning based on a model of memory, explaining processes and dynamics through which memory is built and updated.

This book provides an overview of the topics of data, sovereignty, and governance with respect to data and online activities through a legal lens and from a cybersecurity perspective. This first chapter explores the concepts of data, ownerships, and privacy with respect to digital media and content, before defining the intersection of sovereignty in law with application to data and digital media content. The authors delve into the issue of digital governance, as well as theories and systems of governance on a state level, national level, and corporate/organizational level. Chapter three jumps into the complex area of jurisdictional conflict of laws and the related issues regarding digital activities in international law, both public and private. Additionally, the book discusses the many technical complexities which underlay the evolution and creation of new law and governance strategies and structures. This includes socio-political, legal, and industrial technical complexities which can apply in these areas. The fifth chapter is a comparative examination of the legal strategies currently being explored by a variety of nations. The book concludes with a discussion about emerging topics which either influence, or are influenced by, data sovereignty and digital governance, such as indigenous data sovereignty, digital human rights and self-determination, artificial intelligence, and global digital social responsibility. Cumulatively, this book provides the full spectrum of information, from foundational principles underlining the described topics, through to the larger, more complex, evolving issues which we can foresee ahead of us.

Benchmarking is considered a must for modern management. This book presents an approach to benchmarking that has a solid mathematical basis and is easy to understand and apply. The book focuses on three main topics. It shows how to formalize the representation of benchmarking objects. Furthermore, it presents different methods from decision making and voting and their application to benchmarking. Finally, it discusses suitable features for different benchmarking objects. The objects considered are taken from IT management, but can be easily transferred to other business areas, which makes the book interesting for all practitioners in the management field.

There is little doubt that cyber-space has become the battle space for confrontations. However, to conduct cyber operations, a new armory of weapons needs to be employed. No matter how many, or how sophisticated an aggressor's kinetic weapons are, they are useless in cyber-space. This book looks at the milieu of the cyber weapons industry, as well as the belligerents who use cyber weapons. It discusses what distinguishes these hardware devices and software programs from computer science in general. It does this by focusing on specific aspects of the topic-contextual issues of why cyber-space is the new battleground, defensive cyber weapons, offensive cyber weapons, dual-use weapons, and the implications these weapons systems have for practice. Contrary to popular opinion, the use of cyber weapons is not limited to nation states; though this is where the bulk of news reporting focuses. The reality is that there isn't a sector of the political-economy that is immune to cyber skirmishes. So, this book looks at cyber weapons not only by national security agencies and the military, but also by law enforcement, and the business sector-the latter includes administrations termed non-government organisations (NGOs). This book offers study material suitable for a wide-ranging audience-students, professionals, researchers, policy officers, and ICT specialists.

As the most comprehensive reference work dealing with decision support systems (DSS), this book is essential for the library of every DSS practitioner, researcher, and educator. Written by an international array of DSS luminaries, its more than 70 chapters approach decision support systems from a wide variety of perspectives ranging from classic foundations to cutting-edge thought, informative to provocative, theoretical to practical, historical to futuristic, human to technological, and operational to strategic. The chapters are conveniently organized into 10 major sections: foundations of decision support systems, DSS fundamentals, multiparticipant DSSs, intelligent DSSs, effects of decision support, time and space issues, scopes of decision support, developing and managing decision support systems, cases and applications, and decision support horizons. Novices and experts alike will refer to the authoritative and stimulating content again and again for years to come.

The International Conference on Informatics and Management Science (IMS) 2012 will be held on November 16-19, 2012, in Chongqing, China, which is organized by Chongqing Normal University, Chongqing University, Shanghai Jiao Tong University, Nanyang Technological University, University of Michigan, Chongqing University of Arts and Sciences, and sponsored by National Natural Science Foundation of China (NSFC). Theobjective of IMS 2012 is to facilitate an exchange of information on best practices for the latest research advances in a range of areas. "Informatics and Management Science "contains over 600 contributions to suggest and inspire solutions and methods drawing from multiple disciplines including:

Computer Science

Communications and Electrical Engineering

Management Science

Service Science

Business Intelligence

Communications and Electrical Engineering

Management Science

Service Science

Business Intelligence

Management Science

Service Science

Business Intelligence

Service Science

Business Intelligence

Business Intelligence

Communications and Electrical Engineering

Management Science

Service Science

Business Intelligence

Management Science

Service Science

Business Intelligence

Service Science

Business Intelligence

Business Intelligence

Management Science

Service Science

Business Intelligence

Service Science

Business Intelligence

Business Intelligence

Service Science

Business Intelligence

Business Intelligence

Business Intelligence"

This book presents a framework for developing as well as a comprehensive collection of state-of-the-art process querying methods. Process querying combines concepts from Big Data and Process Modeling and Analysis with Business Process Intelligence and Process Analytics to study techniques for retrieving and manipulating models of real-world and envisioned processes to organize and extract process-related information for subsequent systematic use. The book comprises sixteen contributed chapters distributed over four parts and two auxiliary chapters. The auxiliary chapters by the editor provide an introduction to the area of process querying and a summary of the presented methods, techniques, and applications for process querying. The introductory chapter also examines a process querying framework. The contributed chapters present various process querying methods, including discussions on how they instantiate the framework components, thus supporting the comparison of the methods. The four parts are due to the distinctive features of the methods they include. The first three are devoted to querying event logs generated by IT-systems that support business processes at organizations, querying process designs captured in process models, and methods that address querying both event logs and process models. The methods in these three parts usually define a language for specifying process queries. The fourth part discusses methods that operate over inputs other than event logs and process models, e.g., streams of process events, or do not develop dedicated languages for specifying queries, e.g., methods for assessing process model similarity. This book is mainly intended for researchers. All the chapters in this book are contributed by active researchers in the research disciplines of business process management, process mining, and process querying. They describe state-of-the-art methods for process querying, discuss use cases of process querying, and suggest directions for future work for advancing the field. Yet, also other groups like business or data scientists and other professionals, lecturers, graduate students, and tool vendors will find relevant information for their distinctive needs. Chapter "Celonis PQL: A Query Language for Process Mining" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Widely acclaimed as one of the top agile books in its first edition, Project Management the Agile Way has now been updated and redesigned by popular demand. This second edition is in a modular format to facilitate training and advanced course instruction, and provides new coverage of agile, such as hybrid agile methods, the latest public sector practices, and a chapter dedicated to transitioning to agile. It discusses the ""grand bargain"" between project management and business; the shift in dominance from plans to product and from input to output; and introduces new concepts such as return on benefit. Experienced practitioners and students that want to learn how to make agile work effectively in the enterprise should read this book. Also, individuals preparing for the PMI Agile Certified Practitioner (PMI-ACP)examination, and training providers developing courses, will find this second edition quite helpful.

Value-creation in Middle Market Private Equity by John A. Lanier holistically examines the ecosystem relationships between middle market private equity firms and their portfolio companies. Small business is the job creating engine in the US economy, and consequently is a prime target market for private equity investment. Indeed, private equity backs over six of each 100 private sector jobs. Both the small businesses in which private equity firms invest, and the private equity firms making the investments, face inter- and intra-company fiduciary leadership challenges while implementing formulated strategy. The architecture of each private equity firm-portfolio company relationship must be uniquely crafted to capitalize on the projected return on investment that is memorialized in the investment thesis. Given the leveraged capital structure of portfolio companies, the cost of a misstep is problematic. Individual private equity professionals are typically members of multiple investment teams for the firm. Not only may each investment team have its own unique leadership style, but its diverse members have to assimilate styles for each team in which they participate relative to a specific portfolio company. Acquisitions and their subsequent integrations add exponential complexity for both private equity investment and portfolio company leadership teams; indeed, cultural integration ranks among the most chronic acquisition obstacles. Accordingly, the stakeholders of private equity transactions do well to embrace leadership best practices in applying value-creation toolbox best practices. The perspectives of both the private equity investment team and the portfolio company leadership team are within the scope of these chapters.

This book constitutes a selection of the best papers from the 15th International Conference on Business Excellence, Digital Economy and New Value Creation, ICBE 2021, held in Bucharest, Romania, in March 2021. This book is a collection of research findings and perspectives related to the digital economy and new value creation, led by the set of improvements and changes in the economic, societal and technological structures and processes towards the effort of reaching the sustainability goals.

This write-in workbook is an invaluable resource to help students improve their Maths and English skills and help prepare for Level 1 and Level 2 Functional Skills exams. The real-life questions are all written in a Plumbing context to help students find essential Maths and English theory understandable, engaging and achievable. Written by Gary Taylor, lecturer with a wealth of experience in the Construction Multi-Skills and Plumbing industries, this workbook is an effective resource to support Maths and English learning in the classroom, at work and for personal study at home.

With this textbook, Vaisman and Zimanyi deliver excellent coverage of data warehousing and business intelligence technologies ranging from the most basic principles to recent findings and applications. To this end, their work is structured into three parts. Part I describes "Fundamental Concepts" including conceptual and logical data warehouse design, as well as querying using MDX, DAX and SQL/OLAP. This part also covers data analytics using Power BI and Analysis Services. Part II details "Implementation and Deployment," including physical design, ETL and data warehouse design methodologies. Part III covers "Advanced Topics" and it is almost completely new in this second edition. This part includes chapters with an in-depth coverage of temporal, spatial, and mobility data warehousing. Graph data warehouses are also covered in detail using Neo4j. The last chapter extensively studies big data management and the usage of Hadoop, Spark, distributed, in-memory, columnar, NoSQL and NewSQL database systems, and data lakes in the context of analytical data processing. As a key characteristic of the book, most of the topics are presented and illustrated using application tools. Specifically, a case study based on the well-known Northwind database illustrates how the concepts presented in the book can be implemented using Microsoft Analysis Services and Power BI. All chapters have been revised and updated to the latest versions of the software tools used. KPIs and Dashboards are now also developed using DAX and Power BI, and the chapter on ETL has been expanded with the implementation of ETL processes in PostgreSQL. Review questions and exercises complement each chapter to support comprehensive student learning. Supplemental material to assist instructors using this book as a course text is available online and includes electronic versions of the figures, solutions to all exercises, and a set of slides accompanying each chapter. Overall, students, practitioners and researchers alike will find this book the most comprehensive reference work on data warehouses, with key topics described in a clear and educational style. "I can only invite you to dive into the contents of the book, feeling certain that once you have completed its reading (or maybe, targeted parts of it), you will join me in expressing our gratitude to Alejandro and Esteban, for providing such a comprehensive textbook for the field of data warehousing in the first place, and for keeping it up to date with the recent developments, in this current second edition." From the foreword by Panos Vassiliadis, University of Ioannina, Greece.

Professional data management is the foundation for the successful digital transformation of traditional companies. Unfortunately, many companies fail to implement data governance because they do not fully understand the complexity of the challenge (organizational structure, employee empowerment, change management, etc.) and therefore do not include all aspects in the planning and implementation of their data governance. This book explains the driving role that a responsive data organization can play in a company's digital transformation. Using proven process models, the book takes readers from the basics, through planning and implementation, to regular operations and measuring the success of data governance. All the important decision points are highlighted, and the advantages and disadvantages are discussed in order to identify digitization potential, implement it in the company, and develop customized data governance. The book will serve as a useful guide for interested newcomers as well as for experienced managers.

This open access book provides an in-depth description of the EU project European Language Grid (ELG). Its motivation lies in the fact that Europe is a multilingual society with 24 official European Union Member State languages and dozens of additional languages including regional and minority languages. The only meaningful way to enable multilingualism and to benefit from this rich linguistic heritage is through Language Technologies (LT) including Natural Language Processing (NLP), Natural Language Understanding (NLU), Speech Technologies and language-centric Artificial Intelligence (AI) applications. The European Language Grid provides a single umbrella platform for the European LT community, including research and industry, effectively functioning as a virtual home, marketplace, showroom, and deployment centre for all services, tools, resources, products and organisations active in the field. Today the ELG cloud platform already offers access to more than 13,000 language processing tools and language resources. It enables all stakeholders to deposit, upload and deploy their technologies and datasets. The platform also supports the long-term objective of establishing digital language equality in Europe by 2030 - to create a situation in which all European languages enjoy equal technological support. This is the very first book dedicated to Language Technology and NLP platforms. Cloud technology has only recently matured enough to make the development of a platform like ELG feasible on a larger scale. The book comprehensively describes the results of the ELG project. Following an introduction, the content is divided into four main parts: (I) ELG Cloud Platform; (II) ELG Inventory of Technologies and Resources; (III) ELG Community and Initiative; and (IV) ELG Open Calls and Pilot Projects.

The public sector uses electronic data interchange (EDI) in areas such as the health sector, procurement, meat inspection, taxation, transportation, and the courts. Also, government encourages private sector to enhance their use of electronic communication to secure faster and more reliable exchange of data, to save manpower, and to enable organizational transformation to the information society. In EDI and Data Networking in the Public Sector authors from eight countries report on the modes of governmental intervention to stimulate the usage of EDI and the challenges facing government as they try to smoothen their own units via organizational management. With cases (a total of 14 chapters) from Singapore, Denmark, USA, Sweden, England, Australia, and the Netherlands, this book finds that government in some countries is ahead of the private sector in utilization of EDI and that government at both supranational, central and local levels are active players on the field. Local levels of government and the quasi-governmental organizations provide an important supplement to the efforts by central government to increase the overall usage of EDI. EDI and Data Networking in the Public Sector also indicates that the payoff from investments in EDI are slow to evolve. Dreams of quick return are not likely to emerge. Also, return of investments are highly linked to the organizations' ability to change their work processes along with the investments in EDI. The authors indicate that many public sector organizations lack the steam and vision necessarily to transform the government to a more technological based organization, where public procurement, taxation, medicine ordering etc. takes advantage ofthe potentials in EDI and data networking. EDI and Data Networking in the Public Sector will be of interest to all researchers and practitioners in MIS, Computer Science and International Trade working on the adoption of new technology.

This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.

This book offers state-of-the-art descriptions of intelligent service innovations in industry, supported by novel scientific approaches. It gathers findings presented at the 3rd Intelligent Services Summit, which took place in Zurich in September 2020, and chiefly focused on the design and application of Digital Twin as an enabler for business development in the field of smart services. Divided into three parts, the book addresses the challenges involved in the successful development and implementation of smart services for industry and science, ranging from data management to product design and lifecycle management. The four main aspects covered are industrial challenges, value system design (how to integrate resources into service ecosystems to create value), value creation through value proposition (how to create value for ecosystem actors), and value capture (how to create value for ecosystem businesses). Given its scope, the book offers an essential guide for practitioners and advanced students alike.

This book addresses many of the gaps in how industry and academia are currently tackling problems associated with big data. It introduces novel concepts, describes the end-to-end process, and connects the various pieces of the puzzle to offer a holistic view. In addition, it explains important concepts for a wide audience, using accessible language, diagrams, examples and analogies to do so. The book is intended for readers working in industry who want to expand their knowledge or pursue a related degree, and employs an industry-centered perspective.

This book discusses the effective use of modern ICT solutions for business needs, including the efficient use of IT resources, decision support systems, business intelligence, data mining and advanced data processing algorithms, as well as the processing of large datasets (inter alia social networking such as Twitter and Facebook, etc.). The ability to generate, record and process qualitative and quantitative data, including in the area of big data, the Internet of Things (IoT) and cloud computing offers a real prospect of significant improvements for business, as well as the operation of a company within Industry 4.0. The book presents new ideas, approaches, solutions and algorithms in the area of knowledge representation, management and processing, quantitative and qualitative data processing (including sentiment analysis), problems of simulation performance, and the use of advanced signal processing to increase the speed of computation. The solutions presented are also aimed at the effective use of business process modeling and notation (BPMN), business process semantization and investment project portfolio selection. It is a valuable resource for researchers, data analysts, entrepreneurs and IT professionals alike, and the research findings presented make it possible to reduce costs, increase the accuracy of investment, optimize resources and streamline operations and marketing.

In H2H Marketing the authors focus on redefining the role of marketing by reorienting the mindset of decision-makers and integrating the concepts of Design Thinking, Service-Dominant Logic and Digitalization. It's not just technological advances that have made it necessary to revisit the way everybody thinks about marketing; customers and marketers as human decision-makers are changing, too. Therefore, having the right mindset, the right management approach and highly dynamic implementation processes is key to creating innovative and meaningful value propositions for all stakeholders. This book is essential reading for the following groups: Executives who want to bring new meaning to their lives and organizations Managers who need inspirations and evidence for their daily work in order to handle the change management needed in response to the driving forces of technology, society and ecology Professors, trainers and coaches who want to apply the latest marketing principles Students and trainees who want to prepare for the future Customers of any kind who need to distinguish between leading companies Employees of suppliers and partners who want to help their firms stand out. The authors review the status quo of marketing and outline its evolution to the new H2H Marketing. In turn, they demonstrate the new marketing paradigm with the H2H Marketing Model, which incorporates Design Thinking, Service-Dominant Logic and the latest innovations in Digitalization. With the new H2H Mindset, Trust and Brand Management and the evolution of the operative Marketing Mix to the updated, dynamic and iterative H2H Process, they offer a way for marketing to find meaning in a troubled world.