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This book presents and discusses the main strategic and organizational challenges posed by Big Data and analytics in a manner relevant to both practitioners and scholars. The first part of the book analyzes strategic issues relating to the growing relevance of Big Data and analytics for competitive advantage, which is also attributable to empowerment of activities such as consumer profiling, market segmentation, and development of new products or services. Detailed consideration is also given to the strategic impact of Big Data and analytics on innovation in domains such as government and education and to Big Data-driven business models. The second part of the book addresses the impact of Big Data and analytics on management and organizations, focusing on challenges for governance, evaluation, and change management, while the concluding part reviews real examples of Big Data and analytics innovation at the global level. The text is supported by informative illustrations and case studies, so that practitioners can use the book as a toolbox to improve understanding and exploit business opportunities related to Big Data and analytics.

Economics/Management Science. --- Innovation/Technology Management. --- IT in Business. --- Management of Computing and Information Systems. --- Database Management. --- Economics. --- Database management. --- Information Systems. --- Economie politique --- Bases de données --- Gestion --- Management information systems. --- Management --- Business & Economics --- Management Theory --- Information storage and retrieval systems --- Systèmes d'information --- Big data. --- Decision making --- Business intelligence. --- Data mining. --- Statistical methods. --- Data processing. --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Business espionage --- Competitive intelligence --- Corporate intelligence --- Economic espionage --- Espionage, Business --- Espionage, Economic --- Espionage, Industrial --- Industrial espionage --- Intelligence, Business --- Intelligence, Corporate --- Data sets, Large --- Large data sets --- Business. --- Management. --- Industrial management. --- Information technology. --- Business --- Computer science. --- Business and Management. --- Electronic data processing --- Business ethics --- Competition, Unfair --- Industrial management --- Confidential business information --- Database searching --- Data sets --- Administration --- Industrial relations --- Organization --- IT (Information technology) --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Business—Data processing. --- Informatics --- Science --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Sociotechnical systems --- Information resources management --- Business administration --- Business enterprises --- Business management --- Corporate management --- Corporations --- Industrial administration --- Management, Industrial --- Rationalization of industry --- Scientific management --- Industrial organization --- Communication systems

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This book identifies and discusses the main challenges facing digital business innovation and the emerging trends and practices that will define its future. The book is divided into three sections covering trends in digital systems, digital management, and digital innovation. The opening chapters consider the issues associated with machine intelligence, wearable technology, digital currencies, and distributed ledgers as their relevance for business grows. Furthermore, the strategic role of data visualization and trends in digital security are extensively discussed. The subsequent section on digital management focuses on the impact of neuroscience on the management of information systems, the role of IT ambidexterity in managing digital transformation, and the way in which IT alignment is being reconfigured by digital business. Finally, examples of digital innovation in practice at the global level are presented and reviewed. The book will appeal to both practitioners and academics. The text is supported by informative illustrations and case studies, so that practitioners can use the book as a toolbox that enables easy understanding and assists in exploiting business opportunities involving digital business innovation.

Business. --- Management. --- Industrial management. --- Management information systems. --- Computer science. --- Business and Management. --- Innovation/Technology Management. --- Business Information Systems. --- Management of Computing and Information Systems. --- Technological innovations --- Information technology --- Information Systems. --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Sociotechnical systems --- Information resources management --- Management --- Administration --- Industrial relations --- Organization --- Communication systems --- Informatics --- Science --- Business administration --- Business enterprises --- Business management --- Corporate management --- Corporations --- Industrial administration --- Management, Industrial --- Rationalization of industry --- Scientific management --- Business --- Industrial organization

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This book constitutes selected papers from the 14th European, Mediterranean, and Middle Eastern Conference, EMCIS 2017, held in Coimbra, Portugal, in September 2017. EMCIS is focusing on approaches that facilitate the identification of innovative research of significant relevance to the IS discipline following sound research methodologies that lead to results of measurable impact. The 37 full and 16 short papers presented in this volume were carefully reviewed and selected from a total of 106 submissions. They are organized in sections on big data and Semantic Web; digital services, social media and digital collaboration; e-government; healthcare information systems; information systems security and information privacy protection; IT governance; and management and organizational issues in information systems.

Computer science. --- Management information systems. --- Big data. --- Data mining. --- Computer Science. --- Information Systems Applications (incl. Internet). --- Business Information Systems. --- Big Data/Analytics. --- Data Mining and Knowledge Discovery. --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Data sets, Large --- Large data sets --- Data sets --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Sociotechnical systems --- Information resources management --- Management --- Informatics --- Science --- Communication systems --- Information technology --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software