This book presents a comprehensive and up-to-date treatise of a range of methodological and algorithmic issues. It also discusses implementations and case studies, identifies the best design practices, and assesses data analytics business models and practices in industry, health care, administration and business.Data science and big data go hand in hand and constitute a rapidly growing area of research and have attracted the attention of industry and business alike. The area itself has opened up promising new directions of fundamental and applied research and has led to interesting applications, especially those addressing the immediate need to deal with large repositories of data and building tangible, user-centric models of relationships in data. Data is the lifeblood of today's knowledge-driven economy.Numerous data science models are oriented towards end users and along with the regular requirements for accuracy (which are present in any modeling), come the requirements for ability to process huge and varying data sets as well as robustness, interpretability, and simplicity (transparency). Computational intelligence with its underlying methodologies and tools helps address data analytics needs.The book is of interest to those researchers and practitioners involved in data science, Internet engineering, computational intelligence, management, operations research, and knowledge-based systems.

This book examines the relationship between digital innovations on the one hand, and accounting and management information systems on the other. In particular it addresses topics including cloud computing, data mining, XBRL, and digital platforms. It presents an analysis of how new technologies can reshape accounting and management information systems, enhancing their information potentialities and their ability to support decision-making processes, as well as several studies that reveal how managerial information needs can affect and reshape the adoption of digital technologies. Focusing on the four major aspects data management, information system architecture, external and internal reporting, the book offers a valuable resource for CIOs, CFOs and more generally for business managers, as well as for researchers and scholars. It is mainly based on a selection of the best papers - original double blind reviewed contributions - presented at the 2015 Annual Conference of the Italian Chapter of the Association for Information Systems (AIS).

This book highlights how employees' work environment perceptions significantly influence individuals' attitudes and their intention to participate in firm internal innovation contests. Furthermore, it emphasizes the aspects of an organizational encouragement for participating in such activities. In general, such aspects are diversified, multifaceted and are spread over all levels of the organization's hierarchy. Based on strong theoretical foundations, this work presents a mixed-methods approach to investigate the impact and characteristics of a supporting work environment for innovation contests.

This handbook offers comprehensive coverage of recent advancements in Big Data technologies and related paradigms. Chapters are authored by international leading experts in the field, and have been reviewed and revised for maximum reader value. The volume consists of twenty-five chapters organized into four main parts. Part one covers the fundamental concepts of Big Data technologies including data curation mechanisms, data models, storage models, programming models and programming platforms. It also dives into the details of implementing Big SQL query engines and big stream processing systems. Part Two focuses on the semantic aspects of Big Data management including data integration and exploratory ad hoc analysis in addition to structured querying and pattern matching techniques. Part Three presents a comprehensive overview of large scale graph processing. It covers the most recent research in large scale graph processing platforms, introducing several scalable graph querying and mining mechanisms in domains such as social networks. Part Four details novel applications that have been made possible by the rapid emergence of Big Data technologies such as Internet-of-Things (IOT), Cognitive Computing and SCADA Systems. All parts of the book discuss open research problems, including potential opportunities, that have arisen from the rapid progress of Big Data technologies and the associated increasing requirements of application domains. Designed for researchers, IT professionals and graduate students, this book is a timely contribution to the growing Big Data field. Big Data has been recognized as one of leading emerging technologies that will have a major contribution and impact on the various fields of science and varies aspect of the human society over the coming decades. Therefore, the content in this book will be an essential tool to help readers understand the development and future of the field.

This book extends our understanding of how different cross- functional business and management disciplines, such as innovation and entrepreneurship, strategic management, marketing and HRM, individually and collectively underpin innovation in business management. Business Models for Strategic Innovation develops insights from cross-disciplinary business knowledge streams and their cutting edge discipline-specific practical implications to create a cross- functional business innovation management model. Novel cross- disciplinary knowledge plays an imperative role in business innovation and we know that innovative management processes have significant implications for effective cross- functional management. In this context, each chapter of the book presents fresh insights on diverse business knowledge- streams as well as their applied implications on cross- functional business innovation management. Finally, centred on these cross- disciplinary business theories and their cutting edge implications, the last chapter of this book proposes a model of strategic cross- functional business innovation management process. This academically rigorous work uses innovative theoretical propositions and state- of- the- art empirical analysis in order to enable cross- functional management teams to support organisation- wide business innovation processes.

This book presents a systematic literature review of 156 published papers on business model innovation (BMI). The aim is to identify and integrate the different theoretical perspectives, analytical levels, and empirical contexts in order to deepen understanding of this complex phenomenon. The authors conduct an inductive thematic analysis based on an informal ontological classification that identifies 56 key themes. Within each theme, discussion focuses on thematic patterns, potential inconsistencies and debates, and future directions and opportunities for research. The book makes a number of significant contributions to the field. First, it offers a deeper understanding of the evolution of research on BMI through an ontological map that identifies the key thematic areas in the literature. Second, a multilevel model is developed that clarifies the concept of BMI by identifying its drivers, contingencies, and outcomes. Third, the authors identify clear and specific directions for further research and offer suggestions on research design, creating an informative road map for the future. The book will be of value both to scholars and researchers and to practitioners.

This book explores coordination within and between teams in the context of large-scale agile software development, providing readers a deeper understanding of how coordinated action between teams is achieved in multiteam systems. An exploratory multiple case study with five multiteam systems and a total of 66 interviewees from development teams at SAP SE is presented and analyzed. In addition, the book explores stereotypes of coordination in large-scale agile settings and shares new perspectives on integrating conditions for coordination. No previous study has researched this topic with a similar data set, consisting of insights from professional software development teams. As such, the book will be of interest to all researchers and practitioners whose work involves software product development across several teams.

This book demonstrates the use of a wide range of strategic engineering concepts, theories and applied case studies to improve the safety, security and sustainability of complex and large-scale engineering and computer systems. It first details the concepts of system design, life cycle, impact assessment and security to show how these ideas can be brought to bear on the modeling, analysis and design of information systems with a focused view on cloud-computing systems and big data analytics. This informative book is a valuable resource for graduate students, researchers and industry-based practitioners working in engineering, information and business systems as well as strategy.

Alexander Sann presents a functional method based on lead user method, preference measurement, and recommendations using collaborative filtering. The introduced method in this book stimulates input from internal and external sources, predicts basic customers' acceptance, and evaluates this input against pre-defined criteria such as feasibility and existing patents for further concept generation. In sum, the new method addresses common innovation barriers and helps to reduce management uncertainties. This book provides further insights to the use of lead users as innovation sources in three major industries. The author extends the methodological toolbox with practical implications and contributes to the highly discussed topic in innovation management.

This SpringerBrief offers a state of the art analysis of electronic word-of-mouth (eWOM) communications and its role in marketing. The book begins with an overview of traditional word-of-mouth (WOM) and its evolution to eWOM. It discusses the differences between traditional and online WOM. The book examines why people engage in eWOM communications, but also how consumers evaluate its persuasiveness. It also looks at the effects of eWOM. The book identifies current gaps in the eWOM research, but also highlights future directions for this growing field. eWOM is an important marketing technique in brand communications, and it plays an important role in modern e-commerce. Marketers become extremely interested in enhancing the power of eWOM developing loyalty programs and building brands. Studying the effect of eWOM can be beneficial for companies. This book should be a good resource for scholars and practitioners that need to understand the pervasive effects of eWOM.

This book constitutes revised proceedings of the 17th International Conference on E-Commerce and Web Technologies, EC-Web 2016, held in Porto, Portugal, in September 2016, in conjunction with DEXA. The 13 papers presented in this volume were carefully reviewed and selected from 21 submissions. They were organized in topical sections named: recommender systems; data management and data analysis; and business processes, Web services and cloud computing.

This book constitutes revised selected papers from the 5th International Conference on Operations Research and Enterprise Systems, ICORES 2016, held in Rome, Italy, in February 2016. The 14 papers presented in this volume were carefully reviewed and selection from a total of 75 submissions. They are organized in topical sections named: methodologies and technologies; and applications.

Computable economics is a growing field of research which has been given much attention by scholars in recent decades. In this authoritative collection, the editors successfully bring together the seminal papers of computable economics from the last sixty years and encompass the works of some of the most influential researchers in this area. Topics covered in this timely volume include the foundations of computable economics, classics of computable choice theory, computable macroeconomics and computable and social choice theory. The book is enhanced with a comprehensive introduction by the editors and will serve as an essential source of reference for students and researchers in the field.

This book constitutes the revised selected papers from the 5th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2015, held in Vienna, Austria in December 2015. The 8 papers presented in this volume were carefully reviewed and selected from 22 submissions. They cover theoretical issues related to process representation, discovery and analysis, or provide practical and operational experiences in process discovery and analysis. They focus mainly on the adoption of process mining algorithms in conjunction and coordination with other techniques and methodologies.

This book constitutes revised selected papers from the 14th Conference on Advanced Information Technologies for Management, AITM 2016, and the 11th Conference on Information Systems Management, ISM 2016, held as part of the Federated Conference on Computer Science and Information Systems, FedCSIS, which took place in Gdansk, Poland, in September 2016. The 13 papers presented in this volume were carefully reviewed and selected from 51 submissions. They were organized in topical sections named: information technology and systems for knowledge management; information technology and systems for business transformation; and implementation and evaluation of information systems.

This book constitutes revised selected papers from the 8th International Workshop on Enterprise Applications, Markets and Services in the Finance Industry, FinanceCom 2016, held in Frankfurt, Germany, in December 2016. The 2016 workshop especially focused on "The Analytics Revolution in Finance" and brought together leading academics from a broad range of disciplines, including computer science, business studies, media technology and behavioral science, to discuss recent advances in their respective fields. The 9 papers presented in this volume were carefully reviewed and selected from 13 submissions.

This book constitutes revised papers from the six workshops held at the 19th International Conference on Business Information Systems, BIS 2016, held in Leipzig, Germany, in July 2016. The workshops included in this volume are: * The 8th Workshop on Applications of Knowledge-Based Technologies in Business - AKTB2016 accepted 7 papers from 14 submissions and features 1 invited talk. * The 7th Workshop on Business and IT Alignment - BITA 2016 selected 6 papers from 12 submissions. * The Workshop on Big Data and Business Analytics Ecosystems - DeBASE 2016 has 4 papers in this volume. * The First International Workshop on Intelligent Data Analysis in Integrated Social CRM - iCRM 2016 features 5 contributions. * The Second International Workshop on Digital Enterprise Engineering and Architecture - IDEA 2016 contributes 4 papers to this volume. * The First International Workshop on Integrative Analysis and Computation of Life Data for Smart Ecosystems - INCLuDE 2016 publishes 4 research papers. In addition, BIS hosted a Doctoral Consortium which was organized in a workshop formula. The best papers from this event are included in the book. In total, the workshops had 84 submissions of which 38 were accepted for publication.

This book constitutes revised selected papers from the 16th International Conference on Group Decision and Negotiation, GDN 2016, held in Bellingham, WA, USA, in June 2016. The GDN meetings aim to bring together researchers and practitioners from a wide spectrum of fields, including economics, management, computer science, engineering, and decision science. The 12 papers presented in this volume were carefully reviewed and selected from 70 submissions. They deal with the fundamental part of all decision processes and individual preferences; the situations of group decision making; the collective decision making in situations characterized by a higher level of conflict; and the group processes and negotiations in different subject areas.

Personal Branding for Entrepreneurial Journalists and Creative Professionals outlines and describes the complete process of building and growing a successful personal brand. Focused on the independent journalist or creative professional in the new digital marketplace, Sara Kelly gives readers the ability to create the sort of personal brand that not only stands out, but remains relevant for years to come. Features such as exercises and worksheets will guide readers in creating the various components of their personal brand, and case studies of real-world branding scenarios will allow readers to analyze the practical aspects of implementing a personal brand. Covering theory and practice, this text is a powerful resource for modern journalists, multimedia storytellers, and content creators hoping to ply their talents online and beyond.

This book presents state-of-the-art research into the application of information and communication technologies to travel and tourism. The range of topics covered is broad, encompassing digital marketing and social media, mobile computing and web design, semantic technologies and recommender systems, augmented and virtual reality, electronic distribution and online travel reviews, MOOC and eLearning, eGovernment, and the sharing economy. There is a particular focus on the development of digital strategies, the impact of big data, and the digital economy. In addition to the description of research advances and innovative ideas, readers will find a number of informative industrial case studies. The contents of the book are based on the 2017 ENTER eTourism conference, held in Rome. The volume will be of interest to all academics and practitioners who wish to keep abreast of the latest developments in eTourism.

This book grows from a conference on the state of the art and recent advances in Efficiency and Productivity. Papers were commissioned from leading researchers in the field, and include eight explorations into the analytical foundations of efficiency and productivity analysis. Chapters on modeling advances include reverse directional distance function, a new method for estimating technological production possibilities, a new distance function called a loss distance function, an analysis of productivity and price recovery indices, the relation of technical efficiency measures to productivity measures, the implications for benchmarking and target setting of imposing weight restrictions on DEA models, weight restrictions in a regulatory setting, and the Principle of Least Action. Chapters on empirical applications include a study of innovative firms that use innovation inputs to produce innovation outputs, a study of the impact of potential "coopetition" or cooperation among competitors on the financial performance of European automobile plants, using SFA to estimate the eco-efficiency of dairy farms in Spain, a DEA bankruptcy prediction model, a combined stochastic cost frontier analysis model/mixture hazard model, the evolution of energy intensity in nine Spanish manufacturing industries, and the productivity of US farmers as they age.

This book presents real-world decision support systems, i.e., systems that have been running for some time and as such have been tested in real environments and complex situations; the cases are from various application domains and highlight the best practices in each stage of the system's life cycle, from the initial requirements analysis and design phases to the final stages of the project. Each chapter provides decision-makers with recommendations and insights into lessons learned so that failures can be avoided and successes repeated. For this reason unsuccessful cases, which at some point of their life cycle were deemed as failures for one reason or another, are also included. All decision support systems are presented in a constructive, coherent and deductive manner to enhance the learning effect. It complements the many works that focus on theoretical aspects or individual module design and development by offering 'good' and 'bad' practices when developing and using decision support systems. Combining high-quality research with real-world implementations, it is of interest to researchers and professionals in industry alike.

This book is open access under a CC BY-NC 4.0 license. This volume presents several case studies highlighting the latest findings in Industry 4.0 projects utilizing S-BPM features. Their potential is explored in detail, while the limits of engineering a company from a communication-centred perspective are also discussed. After a general introduction and an overview of the book in chapter 1, chapter 2 starts by condensing the industrial challenges driven by the German "Industry 4.0" trend to form a concrete vision for future production industries. Subsequently, chapter 3 introduces the basic concepts of S-BPM and its capabilities, in particular for supporting the restructuring of processes. The next three chapters then present various case studies, e.g. at an SME offering the production of atypical, unique and special purpose machinery, equipment and technologically complex units particularly useful in the automotive and electronic industries; and at a further SME producing highly-customized floor cleaning machines. Rounding out the coverage, the last two chapters summarize the achievements and lessons learned with regard to the road ahead. Overall, the book provides a realistic portrait of the status quo based on current findings, and outlines the future activities to be pursued in order to establish stakeholder-centred digital production systems. As such, developers, educators, and practitioners will find both the conceptual background and results from the field reflecting the state-of-the-art in vertical and horizontal process integration.

Prepare for the Project Management Institute's (PMI (R)) Agile Certified Practitioner (ACP (R)) exam. Augment your professional experience with the necessary knowledge of the skills, tools, and techniques that are required for passing the examination. This is a comprehensive and one-stop guide with 100% coverage of the exam topics detailed in the PMI-ACP (R) Exam content outline. Rehearse and test your knowledge and understanding of the subject using the practice quizzes after each chapter, three full-length mock exams, and practical tips and advice. You will be able to understand the Agile manifesto, its principles and many facets of Agile project management such as planning, prioritization, estimation, releases, retrospectives, risk management, and continuous improvement. The book covers Agile metrics and means of demonstrating progress. People management aspects such as behavioral traits, servant leadership, negotiation, conflict management, team building, and Agile coaching are explained.Whether you are a beginner or a seasoned practitioner, this book also serves as a practical reference for key concepts in Agile and Agile methodologies such as Scrum, XP, Lean, and Kanban. What you will learn: *The necessary knowledge of the skills, tools, and techniques that are required for passing the PMI-ACP examination*To understand the scope and objectives of the PMI-ACP exam, and gain confidence by taking practice quizzes provided in each chapter and three full-length mock exams*To gain exposure to Agile methodologies such as Scrum, XP, Lean, and Kanban plus various tools and techniques required to conduct Agile projects*The focus is to "Be Agile", rather than "Do Agile" Who this book is for: The audience for this book primarily includes IT professionals who wish to prepare for and pass the Agile Certified Professional (ACP) exam from the Project Management Institute (PMI). The book also is a practical reference book for Agile Practioners.

Christoph Jan Bartodziej examines by means of an empirical study which potential Industry 4.0 technologies do have regarding end-to-end digital integration in production logistics based on their functions. According to the relevance of the concept Industry 4.0 and its early stage of implementation it is essential to clarify terminology, explain relations and identify drivers and challenges for an appropriate use of Industry 4.0 technologies. The results will constitute a profound basis to formulate recommendations for action for technology suppliers and technology users.