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Social media has received considerable attention, and many potential benefits, as well as concerns, are now being discussed. This book explores how social media can successfully support business processes in marketing, sales and service in the context of customer relationship management (CRM). It presents the fundamentals of Social CRM and shows how small and large companies alike have implemented it. In turn, the book presents analytic and operational software tools that offer features for enhancing and streamlining interactions with customers. The book concludes with an overview of essential design areas that businesses need to bear in mind when introducing social media into their CRM strategies. In this regard, it also points out key success factors, limitations, and data protection aspects.

Customer relations --- Management. --- Customer relations-Management. --- E-business. --- Internet marketing. --- Information systems. --- Management information systems. --- Customer Relationship Management. --- e-Business/e-Commerce. --- Online Marketing/Social Media. --- e-Commerce/e-business. --- Information Systems and Communication Service. --- Business Information Systems. --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Sociotechnical systems --- Information resources management --- Management --- Online marketing --- Web marketing --- World Wide Web marketing --- Electronic commerce --- Marketing --- Cybercommerce --- E-business --- E-commerce --- E-tailing --- eBusiness --- eCommerce --- Electronic business --- Internet commerce --- Internet retailing --- Online commerce --- Web retailing --- Commerce --- Information superhighway --- Communication systems --- Customer relations—Management. --- Electronic commerce. --- E-commerce. --- Computers. --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace

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Finance. --- Funding --- Funds --- Economics --- Currency question

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Fintech Dictionary - What is a blockchain framework? What is crowdlending or an ICO? The Fintech Dictionary helps readers in clarifying key terms that have emerged in the vivid field of financial technology (fintech). It links keywords from banking and insurance, from information technology as well as from innovation management - similar to the "melting pot" of terms in reality. The collection of over 830 keywords presents the reader concise and up-to-date definitions of terms in an alphabetical order. It should serve students and interested parties from academia and practice alike.

Economic production --- Engineering sciences. Technology --- Accountancy --- Business policy --- Financial organisation --- Corporate finance --- Information systems --- Computer. Automation --- ICT (informatie- en communicatietechnieken) --- innovatiemanagement --- bedrijfseconomie --- bedrijven --- financiering --- technologie --- technologische innovatie --- innovaties --- bedrijfsbeleid --- sociale interventies --- informatica management

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Dieses Buch bespricht eine Transformation im Bankensektor, die ähnlich tiefgreifend ist, wie einst die Industrialisierung in der Produktion physischer Güter. Sie führt nicht nur zur weiteren Automatisierung von Abläufen in Banken selbst, sondern auch zur Veränderung der Arbeitsteilung im gesamten Finanzsektor. Zur Strukturierung dieser Entwicklung unternimmt das vorliegende Buch erstmalig eine durchgängige modellorientierte Sicht auf Banken, welche die Ebenen Strategie, Organisation und Informationssystem umfasst. Anhand der vier Leitlinien Multidimensionalität, Serviceorientierung, Innovation und Vernetzung skizziert es die wesentlichen Eckpunkte für die Transformation bestehender Banken und liefert gleichzeitig Grundlagen für die jüngst entstandenen Fintech-Lösungen. „Die UBS gehört im Bereich des Digital Private Banking zu den Vorreitern. Das Buch unterstützt Bankenpraktiker bei der anstehenden Transformation des Private Banking mit einer Vielzahl an Modellen und Beispielen.“ Dr. Dirk Klee, Chief Operating Officer, UBS Wealth Management „Digitalisierung der Finanzindustrie“ wendet die bewährte Business Engineering-Methodik auf die Finanzbranche an und berücksichtigt dabei auch die aktuellen Entwicklungen im Bereich der FinTech-Initiativen. Das Buch empfiehlt sich damit sowohl für Entscheider in der Praxis als auch für die Hochschulausbildung.“ Prof. Dr. Jürgen Moormann, Professor für Bankbetriebslehre, Frankfurt School of Finance & Management „Start-ups wie Lendico sind die Innovatoren der Finanzindustrie, deren Transformation gerade erst begonnen hat. Mit diesem Buch können auch Nicht-Banken ihre Geschäftsmodelle bezüglich ihres zukünftigen Potenzials analysieren.“ Dr. Christoph Samwer, Co-Founder & Geschäftsführer, Lendico "Für die Allianz ist die digitale Transformation ihres Geschäftsmodells der entscheidende Faktor, ihre Vorrangstellung im globalen Wettbewerb zu behaupten. "Digital by Default" ist dabei das Paradigma für die Zukunft. Dieses Buch bietet einen großen Fundus, um erfolgreich durch diesen Transformationsprozess zu navigieren." Dr. Rüdiger Schäfer, Regional Chief Operating Officer, Allianz Asia Pacific Die Autoren Prof. Dr. Rainer Alt ist Professor für Wirtschaftsinformatik an der Universität Leipzig und Mitbegründer des Kompetenzzentrums "Sourcing in der Finanzindustrie" (CC Sourcing) der Universitäten St.Gallen und Leipzig. Dr. Thomas Puschmann ist Direktor des Swiss FinTech Innovation Lab an der Universität Zürich. .

Information technology. --- Business—Data processing. --- Management. --- Industrial management. --- Finance. --- IT in Business. --- Innovation/Technology Management. --- Finance, general.

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This book contains the refereed proceedings of the 19th International Conference on Business Information Systems, BIS 2016, held in Leipzig, Germany, in July 2016. The BIS conference series follows trends in academia and business research; thus the theme of the BIS 2016 conference was Smart Business Ecosystems". This recognizes that no business is an island and competition is increasingly taking place between business networks and no longer between individual companies. A variety of aspects is relevant for designing and understanding smart business ecosystems. They reach from new business models, value chains and processes to all aspects of analytical, social and enterprise applications and platforms as well as cyber-physical infrastructures. The 33 full and 1 short papers were carefully reviewed and selected from 87 submissions. They are grouped into sections on ecosystems; big and smart data; smart infrastructures; process management; business and enterprise modeling; service science; social media; and applications.

Computer science. --- Management information systems. --- Big data. --- Data mining. --- Application software. --- Computer Science. --- Data Mining and Knowledge Discovery. --- Big Data/Analytics. --- Business Information Systems. --- Computer Appl. in Administrative Data Processing. --- Enterprise Architecture. --- Information Systems Applications (incl. Internet). --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Data sets, Large --- Large data sets --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Informatics --- Computer software --- Database searching --- Data sets --- Sociotechnical systems --- Information resources management --- Management --- Science --- Communication systems --- Information systems. --- Business --- Data processing --- Quantitative research. --- Business information services. --- Information technology --- Data Analysis and Big Data. --- Computer Application in Administrative Data Processing. --- Computer and Information Systems Applications. --- Management. --- Business enterprises --- Information services --- Data analysis (Quantitative research) --- Exploratory data analysis (Quantitative research) --- Quantitative analysis (Research) --- Quantitative methods (Research) --- Research