This proceedings volume presents a selection of the best papers from the 14th International Conference on Business Excellence, Business Revolution in the Digital Era (ICBE 2020), held in Bucharest, Romania. The respective papers share the latest findings and perspectives on innovation in a turbulent business environment, and on improvements in economic, societal and technological structures and processes to help reach major sustainability goals.

This book constitutes the refereed proceedings of the 12h International Symposium on Business Modeling and Software Design, BMSD 2022, which took place in Fribourg, Switzerland, in June 2022. The 12 full and 9 short papers included in this book were carefully reviewed and selected from a total of 56 submissions. BMSD is a leading international forum that brings together researchers and practitioners interested in business modeling and its relation to software design. Particular areas of interest are: Business Processes and Enterprise Engineering; Business Models and Requirements; Business Models and Services; Business Models and Software; Information Systems Architectures and Paradigms; Data Aspects in Business Modeling and Software Development; Blockchain-Based Business Models and Information Systems; IoT and Implications for Enterprise Information Systems. Each year, a special theme is chosen, for making presentations and discussions more focused. The BMSD 2022 theme is: Information Systems Engineering and Trust.

This book focusses on recommendation, behavior, and anomaly, among of social media analysis. First, recommendation is vital for a variety of applications to narrow down the search space and to better guide people towards educated and personalized alternatives. In this context, the book covers supporting students, food venue, friend and paper recommendation to demonstrate the power of social media data analysis. Secondly, this book treats behavior analysis and understanding as important for a variety of applications, including inspiring behavior from discussion platforms, determining user choices, detecting following patterns, crowd behavior modeling for emergency evacuation, tracking community structure, etc. Third, fraud and anomaly detection have been well tackled based on social media analysis. This has is illustrated in this book by identifying anomalous nodes in a network, chasing undetected fraud processes, discovering hidden knowledge, detecting clickbait, etc. With this wide coverage, the book forms a good source for practitioners and researchers, including instructors and students.

Robo-Advisory is a field that has gained momentum over recent years, propelled by the increasing digitalization and automation of global financial markets. More and more money has been flowing into automated advisory, raising essential questions regarding the foundations, mechanics, and performance of such solutions. However, a comprehensive summary taking stock of this new solution at the intersection of finance and technology with consideration for both aspects of theory and implementation has so far been wanting. This book offers such a summary, providing unique insights into the state of Robo-Advisory. Drawing on a pool of expert authors from within the field, this edited collection aims at being the vital go-to resource for academics, students, policy-makers, and practitioners alike wishing to engage with the topic. Split into four parts, the book begins with a survey of academic literature and its key insights paired with an analysis of market developments in Robo-Advisory thus far. The second part tackles specific questions of implementation, which are complemented by practical case studies in Part III. Finally, the fourth part looks ahead to the future, addressing questions of key importance such as artificial intelligence, big data, and social networks. Thereby, this timely book conveys both a comprehensive grasp of the status-quo as well as a guiding outlook onto future trends and developments within the field.

This book surveys big data tools used in macroeconomic forecasting and addresses related econometric issues, including how to capture dynamic relationships among variables; how to select parsimonious models; how to deal with model uncertainty, instability, non-stationarity, and mixed frequency data; and how to evaluate forecasts, among others. Each chapter is self-contained with references, and provides solid background information, while also reviewing the latest advances in the field. Accordingly, the book offers a valuable resource for researchers, professional forecasters, and students of quantitative economics.

The transition to Industry 4.0, and the subsequent ubiquitous digitalization and integration of artificial intelligence (AI) into the economic system, has set the stage for a fundamental change - one towards forming a cyber economy: a type of economy in which humans are economic subjects who interact with or are confronted with AI. This book examines these interactions and specifically analyzes the overall effects of digitalization on the workplace, and on the economic system of the future. Scholars from a diverse range of fields address both the challenges and opportunities of using AI in business sectors, as well as the role of people dealing with digital channels. In closing, the book discusses the need to, and options for, training and educating the labor force in the digital age.

Data management and analysis is one of the fastest growing and most challenging areas of research and development in both academia and industry. Numerous types of applications and services have been studied and re-examined in this field resulting in this edited volume which includes chapters on effective approaches for dealing with the inherent complexity within data management and analysis. This edited volume contains practical case studies, and will appeal to students, researchers and professionals working in data management and analysis in the business, education, healthcare, and bioinformatics areas.

This volume constitutes a first approximation for the use of systems approaches and dynamic performance management as tools for collaborative governance. The chapters examine models and simulations used in some specific systems approaches, which contribute to facilitating problem focus and collective understanding of collaborative governance, especially in the area of performance management. The explicit connection between resources and outcomes promoted by this view helps managers to understand better how to improve policy and to create positive outcomes that create public value.

This book introduces readers to state-of-the-art cases and tools for managing innovation in today's rapidly changing business environment. It provides a wealth of methodological knowhow and guidance on practical applications, as well as case studies that reveal various challenges in technology and innovation management. Written by a mix of academic scholars and practitioners, the respective chapters present tools and approaches for the early detection of emerging fields of innovation, as well as relevant processes and resources. The contributing authors hail from leading innovative companies including Google, Amazon, Intel, Daimler-Benz, and NASA.

This book focuses on crisis management in software development which includes forecasting, responding and adaptive engineering models, methods, patterns and practices. It helps the stakeholders in understanding and identifying the key technology, business and human factors that may result in a software production crisis. These factors are particularly important for the enterprise-scale applications, typically considered very complex in managerial and technological aspects and therefore, specifically addressed by the discipline of software engineering. Therefore, this book throws light on the crisis responsive, resilient methodologies and practices; therewith, it also focuses on their evolutionary changes and the resulting benefits.

Google Data Studio is becoming a go-to tool in the analytics community. All business roles across the industry benefit from foundational knowledge of this now-essential technology, and Google Data Studio for Beginners is here to provide it. Release your locked-up data and turn it into beautiful, actionable, and shareable reports that can be consumed by experts and novices alike. Authors Grant Kemp and Gerry White begin by walking you through the basics, such how to create simple dashboards and interactive visualizations. As you progress through Google Data Studio for Beginners, you will build up the knowledge necessary to blend multiple data sources and create comprehensive marketing dashboards. Some intermediate features such as calculated fields, cleaning up data, and data blending to build powerhouse reports are featured as well. Presenting your data in client-ready, digestible forms is a key factor that many find to be a roadblock, and this book will help strengthen this essential skill in your organization. Centralizing the power from sources such as Google Analytics, online surveys, and a multitude of other popular data management tools puts you as a business leader and analyzer ahead of the rest. Your team as a whole will benefit from Google Data Studio for Beginners, because by using these tools, teams can collaboratively work on data to build their understanding and turn their data into action. Data Studio is quickly solidifying itself as the industry standard, and you don't want to miss this essential guide for excelling in it. What You Will Learn Combine various data sources to create great looking and actionable visualizations Reuse and modify other dashboards that have been created by industry pros Use intermediate features such as calculated fields and data blending to build powerhouse reports Who This Book Is For Users looking to learn Google Analytics, SEO professionals, digital marketers, and other business professionals who want to mine their data into an actionable dashboard.

This book is an outcome of the 34th International Conference EnviroInfo 2020, hosted virtually in Nicosia, Cyprus by the Research Centre on Interactive Media, Smart Systems and Emerging Technologies (RISE). It presents a selection of papers that describe innovative scientific approaches and ongoing research in environmental informatics and the emerging field of environmental sustainability, promoted and facilitated by the use of information and communication technologies (ICT). The respective articles cover a broad range of scientific aspects including advances in core environmental informatics-related technologies such as earth observation, environmental modelling, big data and machine learning, robotics, smart agriculture and food solutions, renewable energy-based solutions, optimization of infrastructures, sustainable industrial processes, and citizen science, as well as applications of ICT solutions intended to support societal transformation processes toward the more sustainable management of resource use, transportation and energy supplies. Given its scope, the book is essential reading for scientists, experts and students in these fields of research. Chapter "Developing a Configuration System for a Simulation Game in the Domain of Urban CO2 Emissions Reduction" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

This book focuses on virtual teams, which are fraught with cooperation problems. It offers novel insights into how team members experience and overcome these problems by empirically studying hybrid virtual teams in Shared Services Organizations. It firstly enhances the reader's understanding of contextual challenges relating to cooperation and shows how members of such teams experience faultlines through distance, disconnection through reliance on communication technology and discontinuity through temporality of team composition. Secondly, it explores how they use 22 practices to overcome the cooperation problem, which can be categorized as strategies of identity constructing, trusting and virtual peer monitoring. Lastly, the study analyzes the role of technology, demonstrating that state-of-the-art media can facilitate, but not ensure the use of these strategies and practices. As such, the book has implications for both researchers and practitioners.

This book provides a set of integrated frameworks-capital, systems, and objects-that transcend managerial or technology hype by focusing on the long-term fundamentals that sustain organizational success. Many organizations are currently addressing two important transformational issues: ecological sustainability and digitization. Sustainability is a goal, an end, and digitization is a process, a means to achieve a goal. This book introduces a flexible model that can be applied to current and future organizational challenges, including sustainability and digitization, because the fundamentals are constant. This book is designed to serve two purposes for the readers: first, to present three conceptual foundations for designing and operating organizations (capital, systems, and objects in Part I); and second, to provide a reference source for implementing these ideas in an organization (Parts II and III). The Part I of the book, chapters 1 through 7, sets forth the conceptual foundations. The chapters mix concepts and practical examples to give a new way of thinking about the setting in which one may work many days each year. The Part II provides details and associated examples of every one of the thirty-six forms of capital conversion. It also illustrates how the five foundational systems support capital conversion in a variety of ways. Finally, the Part III is about measuring capital and systems. The book will resonate with practitioners and students of strategy, leadership, and organizational design. It is critical reading for leaders, industry experts, and general readers who want to understand how over thousands of years the capital creation system has developed today's world and will fashion its future.

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.

Web-based platforms have become vehicles for enterprises to realize their digital strategy and are key to positive user engagement. The performance of these platforms can make the difference between an effective sale and a negative review. There exist several tools and methodologies to enhance your digital platform's performance, and Modern Web Performance Optimization has arrived to walk you through them with an expert's guidance. Author Shailesh Kumar Shivakumar breaks the study of web performance optimization down into four digestible, applicable dimensions: performance patterns, framework and methods, process and tools, and the modern web. This multi-faceted approach ensures a broad optimization of your platforms and avoids the typical pitfalls of neglecting essential steps that so many often do. Shivakumar analyzes web performance ecosystem components such as validation, governance, metrics, key performance indicators, assessments, and monitoring, just to name a few. The book discusses reference architectures and relevant tools and technologies for successfully implementing a best practices-driven solution. Modern web frameworks such as HTML5 and PWA are also covered. Modern Web Performance Optimization puts readers from any level of experience at ease. Accessible templates, real-world case studies, and your very own performance optimization checklist make this book an engaging and interactive learning opportunity for platform owners across industries. Developers, engineers, project managers, and more are set up for long-term success with Modern Web Performance Optimization at their fingertips. What You Will Learn Analyze the performance optimization across end-to-end layers Utilize a comprehensive web optimization framework for digital projects Implement proven methods, best practices, and tools for web performance optimization Who This Book Is ForSystem administrators, front-end developers, professionals looking to understand how to optimize their online presence

This book describes in detail sampling techniques that can be used for unsupervised and supervised cases, with a focus on sampling techniques for machine learning algorithms. It covers theory and models of sampling methods for managing scalability and the "curse of dimensionality", their implementations, evaluations, and applications. A large part of the book is dedicated to database comprising standard feature vectors, and a special section is reserved to the handling of more complex objects and dynamic scenarios. The book is ideal for anyone teaching or learning pattern recognition and interesting teaching or learning pattern recognition and is interested in the big data challenge. It provides an accessible introduction to the field and discusses the state of the art concerning sampling techniques for supervised and unsupervised task. Provides a comprehensive description of sampling techniques for unsupervised and supervised tasks; Describe implementation and evaluation of algorithms that simultaneously manage scalable problems and curse of dimensionality; Addresses the role of sampling in dynamic scenarios, sampling when dealing with complex objects, and new challenges arising from big data. "This book represents a timely collection of state-of-the art research of sampling techniques, suitable for anyone who wants to become more familiar with these helpful techniques for tackling the big data challenge." M. Emre Celebi, Ph.D., Professor and Chair, Department of Computer Science, University of Central Arkansas "In science the difficulty is not to have ideas, but it is to make them work" From Carlo Rovelli

This volume offers state-of-the-art research in service science and its related research, education and practice areas. It showcases recent developments in smart service systems, operations management and analytics and their impact in complex service systems. The papers included in this volume highlight emerging technology and applications in fields including healthcare, energy, finance, information technology, transportation, sports, logistics, and public services. Regardless of size and service, a service organization is a service system. Because of the socio-technical nature of a service system, a systems approach must be adopted to design, develop, and deliver services, aimed at meeting end users' both utilitarian and socio-psychological needs. Effective understanding of service and service systems often requires combining multiple methods to consider how interactions of people, technology, organizations, and information create value under various conditions. The papers in this volume present methods to approach such technical challenges in service science and are based on top papers from the 2019 INFORMS International Conference on Service Science.

This book features a collection of high-quality research papers presented at the International Conference on Tourism, Technology & Systems (ICOTTS 2020), held at the University of Cartagena, in Cartagena de Indias, Colombia, from 29th to 31st October 2020. The book is divided into two volumes, and it covers the areas of technology in tourism and the tourist experience, generations and technology in tourism, digital marketing applied to tourism and travel, mobile technologies applied to sustainable tourism, information technologies in tourism, digital transformation of tourism business, e-tourism and tourism 2.0, big data and management for travel and tourism, geotagging and tourist mobility, smart destinations, robotics in tourism, and information systems and technologies.

Filling a gap in the current literature, this book addresses the social approach to the design and use of innovative business models in the digital economy. It focuses on three areas that are of increasing importance to businesses and industry today: social issues and sustainability; digitization; and new economic business models, specifically the sharing and circular economies. The authors aim to solve current scientific concerns around the conceptualization and operationalization of social business models, addressing management intentions and the impact of these models on society. Based on observation of social phenomena and the authors' research and practical experience, the book highlights best practices for designing and assessing social business models.

This first book on Maritime Informatics describes the potential for Maritime Informatics to enhance the shipping industry. It examines how decision making in the industry can be improved by digital technology, and introduces the technology required to make Maritime Informatics a distinct and valuable discipline. Based on participating in EU funded research over the last six years to improve the shipping industry, the editors stipulate that there is a need for the new discipline of Maritime Informatics, which studies the application of information systems to increasing the efficiency, safety, and ecological sustainability of the world's shipping industry. This book examines competition and collaboration between shipping companies, and also companies who serve shipping needs, such as ports and terminals. Practical examples from leading experts give the reader real world examples for better understanding.

This book features a collection of high-quality research papers presented at the International Conference on Tourism, Technology & Systems (ICOTTS 2020), held at the University of Cartagena, in Cartagena de Indias, Colombia, from 29th to 31st October 2020. The book is divided into two volumes, and it covers the areas of technology in tourism and the tourist experience, generations and technology in tourism, digital marketing applied to tourism and travel, mobile technologies applied to sustainable tourism, information technologies in tourism, digital transformation of tourism business, e-tourism and tourism 2.0, big data and management for travel and tourism, geotagging and tourist mobility, smart destinations, robotics in tourism, and information systems and technologies.

This book examines the requirements, risks, and solutions to improve the security and quality of complex cyber-physical systems (C-CPS), such as production systems, power plants, and airplanes, in order to ascertain whether it is possible to protect engineering organizations against cyber threats and to ensure engineering project quality. The book consists of three parts that logically build upon each other. Part I "Product Engineering of Complex Cyber-Physical Systems" discusses the structure and behavior of engineering organizations producing complex cyber-physical systems, providing insights into processes and engineering activities, and highlighting the requirements and border conditions for secure and high-quality engineering. Part II "Engineering Quality Improvement" addresses quality improvements with a focus on engineering data generation, exchange, aggregation, and use within an engineering organization, and the need for proper data modeling and engineering-result validation. Lastly, Part III "Engineering Security Improvement" considers security aspects concerning C-CPS engineering, including engineering organizations' security assessments and engineering data management, security concepts and technologies that may be leveraged to mitigate the manipulation of engineering data, as well as design and run-time aspects of secure complex cyber-physical systems. The book is intended for several target groups: it enables computer scientists to identify research issues related to the development of new methods, architectures, and technologies for improving quality and security in multi-disciplinary engineering, pushing forward the current state of the art. It also allows researchers involved in the engineering of C-CPS to gain a better understanding of the challenges and requirements of multi-disciplinary engineering that will guide them in their future research and development activities. Lastly, it offers practicing engineers and managers with engineering backgrounds insights into the benefits and limitations of applicable methods, architectures, and technologies for selected use cases.

Offering proof-of-concept (POC) to inventors is often a difficult task for most Technology Transfer Offices (TTOs). Through an in-depth analysis of 15 years of IP portfolio management by Oxford University Innovation (OUI), this book identifies the salient aspects of the technology transfer evolution and the role that technology transfer managers (TTMs) play in closing the gap between academia and business. Innovation Finance and Technology Transfer: Funding Proof of Concept seeks to prove that a well-managed POC Fund can achieve positive financial results and that the chances for an IP portfolio management to be "in the money" increases if the TTO is attached to an entrepreneurial University. This work illustrates how innovation based on Intellectual Property Rights protected and managed by a highly-skilled group of technology transfer managers succeeds in technology transfer. It offers a vademecum to practitioners to follow a step by step best practice procedure embraced by the Oxford TTO to manage the POC investment process. This book is valuable reading for intellectual property scholars, business school students, social sciences researchers, investment professionals and technology transfer practitioners, as well as those working in innovation think tanks and policy circles.

* Covers the entire new venture management process, from ideas to finance to HRM * Now includes international cases in all chapters * Offers a complete and contemporary business plan for students to follow * Includes material on the latest issues in entrepreneurship, such as equity crowdfunding and 'blitzscaling'