Knowledge management Books
Business Expert Press Understanding the Financial Industry Through Linguistics: How Applied Linguistics Can Prevent Financial Crisis
£28.55
Rethink Press 24 Assets: Create a digital, scalable, valuable and fun business that will thrive in a fast changing world
Book SynopsisIn every industry, there are companies that take off. They effortlessly hire talented people, attract loyal customers, create cool products and make lots of money. These companies seem to stand out and scale up quickly with support from investors, partners and the media. Sadly, most companies don't perform this way. Most entrepreneurs aren't building anything of value. They work hard, make sacrifices, struggle, dream, plan and strive, but in the end, it doesn't pay off. This book sets out a method for building a business that becomes a valuable asset. It focuses you on transforming your organisation into something scalable, digital, fun and capable of making an impact. It's time to, stand out, scale up and build a business that has a life of its own. Start now by reading this book.
£16.59
Multi-Media Publications Inc Corporate Intelligence Awareness: Securing the Competitive Edge
£21.56
Conflux Digital Ltd Internal Tech Conferences: Accelerate Multi-team Learning
£17.10
International Institute of Business Analysis Guide to Business Data Analytics
£63.74
International Institute of Business Analysis Le Guide du corpus de connaissance en analyse métier(R) (BABOK(R) Guide) SND French
£44.96
Rothstein Associates Inc. Enterprise Risk Assessment and Business Impact Analysis: Best Practices
£49.59
Springer Nature Switzerland AG Human Resources Strategies: Balancing Stability and Agility in Times of Digitization
Book SynopsisThe digitalization of businesses calls for new forms of leadership and collaboration, as traditional human resources strategies are reaching their limits. Personal responsibility, networking and diversity are increasingly recognized as key prerequisites for agility, adaptability and innovativeness. This book encourages HR managers who want to be pioneers of, or support, digital transformation to rethink their HR strategies. It begins with a clear illustration of the difference between stability and agility in leadership and organization. Building on this, it then guides the reader through a broad range of relevant HR topics and how they compare to the new strategic orientation. All major aspects of HR management are addressed, including recruitment, learning, talent management, remuneration, performance management, corporate training, executive development and change management. Providing a comprehensive, practical, differentiated and non-dogmatic alternative to traditional approaches, the book is a must-read for all those who are concerned with sustainable HR management in the era of digitalization.Table of ContentsHR in the Context of Digitization.- Agility and Stability.- Building an HR Strategy.- The Structural and Cultural Context.- Talent Acquisition and Selection.- Goals, Assessment and Feedback.- Learning and Knowledge.- Development and Career.- Remuneration.- Engagement and Retention.- HR Operation.- Managing Change and Transformation.- Transformation into an Agile Future.
£33.74
Springer Nature Switzerland AG Hackathons: From Idea to Successful Implementation
Book SynopsisThis book provides a detailed and comprehensive overview of all phases of a hackathon and thus helps to reduce complexity, to use opportunities, to avert pitfalls and to avoid problems. In addition, it also explains from a participant’s perspective how to succeed in a hackathon. Lastly, the book is rounded off by extensive checklists, which support you in your own hackathons. The book is structured as follows: At first the basics and the history of hackathons are described in chapter 1. Afterwards the three phases of a hackathon are described in detail. This is started in chapter 2 with the description of the individual measures which are to be accomplished before the actual event. Here not only technical or organizational aspects are described, but also the important legal aspects are discussed. Subsequently, it is shown what is necessary to carry out a hackathon successfully. For this purpose the actual execution with all its steps is described in chapter 3. Next, chapter 4 looks at the follow-ups, which are often neglected or even completely forgotten. Chapter 5 describes from a participant’s point of view the reasons for participating in a hackathon and which aspects guarantee a successful participation. In the following chapter 6 the criticism of the format of the hackathons and their execution is also examined in detail. Eventually, the most important points are summarized in chapter 7, before chapter 8 gives a view into the future of hackathons. Subsequently chapter 9 collects statements and opinions of representatives from industry, science and administration on the topic of hackathons. The book is rounded off in chapter 10 with detailed checklists, which can be directly used for the successful planning, operation and follow-up of hackathons. The book is written for everyone with an interest in how hackathons work, how to create them, and how to successfully participate. It especially targets people in industry or young students who want to run or participate in a hackathon.Table of Contents1. Basics.- 2. Preparation.- 3. Operation.- 4. Follow-Up.- 5. Participant View.- 6. Criticism.- 7. Summary.- 8. Outlook.- 9. Quotations.- 10. Checklists.
£34.99
Springer Nature Switzerland AG Successfully Managing S/4HANA Projects: The
Book SynopsisThe book describes the complete project process in individual steps for SAP S/4HANA project management based on the SAP ACTIVATE implementation methodology. By imparting knowledge based on experience with real SAP projects, the book supports project managers in developing skills and qualifications that will lead them to the successful management of SAP projects. In this context it emphasizes the crucial role of human interaction from the start to the successful completion of projects and provides useful tips on how to recognize and avoid pitfalls.Enriched with a wide range of material such as templates, checklists and practical examples, the book provides concrete guidance for project managers and participants on how to successfully manage ongoing projects. The book is valuable for both beginners and experienced project managers and also gives decision makers and stakeholders an excellent insight into the planning and management of large projects.Table of ContentsChapter 1. Introduction.- Chapter 2. What makes an SAP-Project so different?.- Chapter 3. The SAP S/4HANA project: How it should be.- Chapter 4. The SAP S/4HANA Project: How it is.- Chapter 5. The underestimated success factor: people.- Chapter 6. Project Planning, Control and Quality Assurance.- Chapter 7. Examples of real-live SAP-S/4HANA Projects.- Chapter 8. Consultants: Boon or Bane? Benefit or Burden?.- Chapter 9. Tools for project support.- Chapter 10. 12 Commandments for a successful SAP project.
£54.99
Springer Nature Switzerland AG Making Literature Reviews Work: A
Book SynopsisThis textbook guides the reader on how to undertake high-quality literature reviews, from traditional narrative to protocol-driven reviews. The guidance covers a broad range of purposes, disciplines and research paradigms. Whether the literature review is part of a research project, doctoral study, dissertation or a stand-alone study, the book offers approaches, methods, tools, tips and guidelines to produce more effective literature reviews in an efficient manner. The numerous examples are drawn from an array of subject areas, such as economics, healthcare, education, medicine, psychology, software engineering amongst others. This makes it worthwhile for a wide range of studies and for reviews into evidence-based interventions, policies, practices and treatments. There is attention given to presenting, reporting and publishing literature reviews. With the additional clarity brought about by explanatory tables and graphs, this textbook is a ‘must-have’ for all students, researchers, academics and practitioners at any stage of their project or career when engaging with literature. In addition, citizens, policymakers and practitioners will benefit from the guidance with better insight into how literature reviews could and should have been conducted.Table of ContentsChapter 1 IntroductionPART I: Basic Concepts for Effective Literature ReviewsChapter 2 Objectives and Positioning of [Systematic] Literature ReviewsChapter 3 Developing Review QuestionsChapter 4 Search Strategies for PublicationsChapter 5 Setting Inclusion and Exclusion CriteriaPART II: Quantitative Analysis MethodsChapter 6 Meta-AnalysisChapter 7 Other Quantitative MethodsPART III: Qualitative Analysis MethodsChapter 8 Meta-AggregationChapter 9 Grounded Theory and Discourse AnalysisChapter 10 Thematic AnalysisChapter 11 Meta-EthnographyChapter 12 Combining Quantitative and Qualitative AnalysisPART IV: Reporting Literature ReviewsChapter 13: Reporting Standards for Literature ReviewsChapter 14: Data Management and RepositoriesChapter 15: Writing Literature ReviewsChapter 16: Presenting Literature ReviewsEPILOGUEThe Dissenting Voices
£54.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Projektleiter-Praxis: Optimale Kommunikation und
Book SynopsisDas erfolgreiche Fachbuch widmet sich der psychosozialen Dimension der Projektarbeit. Vor diesem Hintergrund werden alle Projektphasen beleuchtet. Schwerpunkte sind: Planung und Gestaltung des Projektbeginns, methodische Hinweise zur Teamarbeit, Regeln der Gesprächsführung, Umgang mit Macht, Hierarchie und Widerstand im Rahmen der Projektarbeit, Partizipation, Gestaltung des Projektendes, Rolle und Anforderungsprofil des Projektleiters.Fachlich kompetent und übersichtlich gestaltet, gibt das Arbeitsbuch eine ebenso praxisgerechte wie breitgefächerte Hilfestellung für Projektleiter und Führungskräfte in den verschiedensten Bereichen. In der Neuauflage wurden die Entwicklungen in der Praxis berücksichtigt. Das Buch ist zu einem Klassiker der Projektarbeit geworden und wird in vielen Firmen und Seminaren als Lehrbuch eingesetzt.Table of Contents1 Orientierungshilfe für den Leser.- 1.1 Ziele des ersten Kapitels.- 1.2 Was hat sich in der Projektarbeit seit der 1. Auflage verändert?.- 1.3 Typische Probleme in der Projektarbeit und der Beitrag des Buches.- 1.4 Übersicht über die einzelnen Kapitel.- 2 Unser Grundverständnis von Projektmanagement.- 2.1 Ziele des zweiten Kapitels.- 2.2 Ein gemeinsames Verständnis über Projektmanagement ist nötig.- 2.3 Acht Merkmale für erfolgreiches Projektmanagement.- 2.4 Die fünf Dimensionen der Projektarbeit.- 2.5 Projektarbeit verlangt, die Dinge im Systernzusammenhang zu sehen.Das OSTO-Modell: das Unternehmen als offenes sozio-techno-ökonornisches System.- 2.6 Empfehlungen.- 3 Der Projektvereinbarungsprozess von der Projektidee bis zum klaren Projektauftrag.- 3.1 Ziele des dritten Kapitels.- 3.2 Was ist unter einem Projektvereinbarungsprozess zu verstehen?.- 3.3 Sage rnir, wie ein Projekt beginnt, und ich sage Dir, wie es endet!.- 3.4 Praxisprobleme.- 3.5 Die zwei Ebenen des Projektvereinbarungsprozesses.- 3.5.1 Analysieren Sie die Ausgangssituation des Projektes.- 3.5.2 Die Inhaltsebene der Projektvereinbarung.- 3.5.3 Kernpunkte des Projektauftrags.- 3.6 Der Projektvereinbarungsprozess verlangt Rollenbewusstsein.- 3.7 Der Weg der Projektvereinbarung—das Wie.- 3.7.1 Worauf sollte der ProjektIeiter bei der Gestaltung der Projektvereinbarung achten?.- 3.7.2 Prüfen Sie Ihre persönliche Ausgangssituation für die ProjektIeitung!.- 3.8 Glosse.- 3.9 Empfehlungen und Checklisten.- 4 Erfolgreich arbeiten im Projektteam.- 4.1 Ziele des vierten Kapitels.- 4.2 Praxisprobleme.- 4.3 Nach welchen Kriterien sind die Mitarbeiter des Projektteams auszuwahlen.- 4.3.1 Wer soli über die Mitarbeit im Projektteam entscheiden?.- 4.3.2 Glosse.- 4.3.3 Wie groß sollte ein Projektteam sein?— Kernteam und erweitertes Team.- 4.4 Durch welche Faktoren wird die Arbeit des Projektteams beeinflusst?.- 4.4.1 Ziele und Aufgaben der Gruppe — das Thema.- 4.4.2 Individuum — Einstellung, Verhalten, Qualifikation des Einzelnen.- 4.4.3 Gruppe.- 4.4.4 Das Umfeld des Projektteams.- 4.5 Die Kick-Off-Sitzung.- 4.6 Die Gruppenprozessanalyse.- 4.7 Glosse.- 4.8 Empfehlungen und Checklisten.- 5 Partnerschaftliche Gesprachsfiihrung - ein Schliissel zur erfolgreichen Projektarbeit.- 5.1 Ziele des fiinften Kapitels.- 5.2 Die Praxisprobleme.- 5.3 Grundlagen der Gesprachsfiihrung.- 5.3.1 Wertschatzung und Achtung des Menschen.- 5.3.2 Offenes Verhalten.- 5.3.3 Einfiihlungsvermogen - die Botschaft wahrnehmen.- 5.4 Techniken der Gesprachsfiihrung - Hinweise und Regeln.- 5.4.1 Hinweise zum aktiven Zuhoren.- 5.4.2 Stellen Sie echte Fragen.- 5.4.3 Werfragt, fiihrt!.- 5.4.4 Mach mal Pause.- 5.4.5 Killerphrasen konnen ein Gesprach tOten.- 5.4.6 Feedback rnacht satt.- 5.5 Verstandlichkeit - ein Schltissel zurn gegenseitigen Verstehen.- 5.6 Checklisten zur Gesprachsftihrung.- 6 Macht, Hierarchie und Autoritat in der Projektarbeit.- 6.1 Ziele des sechsten Kapitels.- 6.2 Was bedeutet Macht?.- 6.3 Wie kann der Projektleiter Macht in der Praxis erkennen?-Die Praxisproblerne.- 6.4 Hierarchie und Projektarbeit - ein schizophrenes Muster?.- 6.5 Unsere „auBeren“ und „inneren“ Hierarchien-Personelle Machtfaktoren.- 6.5.1 Der Einfluss von Ftihrungskraften auf die Projektarbeit.- 6.5.2 Unsere inneren Hierarchien.- 6.6 Glosse.- 6.7 Zusammenfassung und Hinweise.- 7 Akzeptanz oder Widerstand: Erfolgskriterium fiir Innovationen.- 7.1 Ziele des siebten Kapitels.- 7.2 Wie begegnen uns Widerstande?.- 7.3 Was ist Widerstand?.- 7.4 Die Ursachen ftir Widerstand.- 7.4.1 Generelle WiderstandsauslOser, die in der Natur der Projektarbeit liegen.- 7.4.2 Projektbezogene Widerstandsausloser.- 7.5 Der Urngang mit Widerstand.- 7.5.1 Zurn Urngang mit Widerstand auf der Ebene des Gesarntunternehrnens.- 7.5.2 Zurn Urngang mit Widerstand auf der Ebene des Projektes.- 7.5.3 Wie gehe ich als Projektleiter personlich mit Widerstand urn?.- 7.6 Checklisten ftir den Projektleiter.- 8 Der Projektabschluss: Bruchstellen sind Fundstellen.- 8.1 Ziele des achten Kapitels.- 8.2 Die Praxisproblerne.- 8.3 Das Projektende: Zwischen ktinstIicher Verlangerung und heimlichem Abseilen.- 8.4 Werten Sie Projekte systematisch aus.- 8.5 Empfehlungen und Checklisten.- 9 Gedanken zur Rolle und zurn Anforderungsprofil des Projektleiters.- 9.1 Ziele des neunten Kapitels.- 9.2.1 Wie sehen wir die ProjektIeiterrolle?.- 9.3 Aufgaben des ProjektIeiters.- 9.4 Welche Kompetenzen sollte ein ProjektIeiter haben?.- 9.5 Zur Qualifikation eines Projektleiters.- 9.6 Qualifikationsmoglichkeiten ftir ProjektIeiter.- 9.7 Checklisten.- 9.7.1 Fragen zum eigenen Rollenverstandnis.- 9.7.2 Fragen zur Sichtweise von auBen.- Stichwortverzeichnis.
£44.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Referenzprozessmodell zur Steuerung der Entwicklung von IT-enabled Business Innovations in der Versicherung
Book SynopsisChristian N. Schmid entwickelt ein Referenzmodell, das die unternehmensspezifische Konfiguration des Innovationsprozesses zur gesteuerten und zielgerichteten Entwicklung von IT-enabled Business Innovations ermöglicht. Dies erlaubt einen planbaren und nachhaltigen Wertbeitrag der Innovation zum strategischen Unternehmenserfolg. Durch die Deregulierung der europäischen Versicherungsmärkte und das Niedrigzinsumfeld der weltweiten Kapitalmärkte sieht sich die Assekuranz einem verschärften Ergebnis- und Wettbewerbsdruck ausgesetzt. Innovation wird daher immer stärker als strategischer Lösungsansatz wahrgenommen. Besonders gilt dies für IT-gestützte Verbesserungen von Geschäftsprozessen und Produkten, die IT-enabled BI.Table of ContentsReferenzmodell zur nachhaltigen Entwicklung von IT-enabled BI.- Konstruktionslandkarte für Referenzmodelle.- State of the Art der Evaluation von Referenzmodellen.
£49.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Wissensmanagement für Qualitätsmanager: Erfüllung
Book SynopsisIn diesem Essential finden Sie konkrete und praxiserprobte Hinweise, wie die Wissensmanagement-Anforderungen der ISO 9001:2015 zum Nutzen Ihrer Organisation umgesetzt werden können und welche weiteren Schritte zur Entwicklung eines wertschöpfungsorientierten Wissensmanagements notwendig sind. Jedes Kapitel enthält einfache Kontrollfragen, anhand derer Sie feststellen können, wie weit Sie mit der Umsetzung der Anforderungen der neuen Norm bereits gekommen sind. Eine Checkliste und ein Musterstellenprofil geben weitere Hilfestellung.Trade Review“… Der Beitrag ist gut strukturiert, lässt sich sehr gut lesen und bereitet die Inhalte komprimiert und verständlich auf.” (Stefan Reinheimer, in: HMD Praxis der Wirtschaftsinformatik, Jg. 55, 2018)Table of ContentsWettbewerbsfähigkeit durch Wissensmanagement sichern.- Die Wissenstreppe: Information – Wissen – Kompetenz.- Wissen vermitteln und verfügbar machen.
£13.62
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Wie Managed-Service-Projekte gelingen: Eine
Book SynopsisDieses essential zeigt Wege auf, wie Managed-Service-Projekte unter immer komplexeren Rahmenbedingungen erfolgreich durchgeführt werden können. Die Autoren erläutern zunächst Konzepte, Strukturen und kritische Erfolgsfaktoren von Managed Services. Anschließend vermitteln sie anhand vieler Praxisbeispiele und -tipps, wie ein Wandel der IT im Spannungsfeld zwischen Outsourcing und Insourcing ohne teure Fehlentscheidungen gelingen kann. Der Leser erfährt, dass der systemische Ansatz längst die IT erreicht hat und auf welche Weise Unternehmen die Qualität in der IT verbessern sowie gleichzeitig die damit verbundenen Kosten senken können.Table of ContentsService Levels – Auf der Suche nach dem Optimum.- Transition – Falle und Erfolgsfaktor.- Vertrag und Sanktionen – Notwendiges Übel oder Sicherheit.- Transformation der IT – Macher gesucht.
£13.62
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG EDI – Digitalisierung und IT-Wertbeitrag konkret
Book SynopsisMario Kischporski untersucht in diesem essential das Thema Electronic Data Interchange (EDI) im Hinblick auf Chancen und Herausforderungen des praktischen Einsatzes im täglichen Geschäftsleben. Dabei werden v.a. die Bedeutung des Strukturdatenaustausches, Fallstricke und praxisrelevante Betrachtungen herausgearbeitet und übersichtlich, kompakt und nachvollziehbar dargestellt. Dies soll dem Leser helfen, einen fundierten Überblick zu erlangen und die Potentiale der Digitalisierung konkret und pragmatisch in der Anwendungspraxis im Alltag anzuwenden und zu nutzen. Zum Thema EDI gibt es so gut wie keine (einführende) Fachliteratur. Diese Lücke soll dieses essential schließen.Table of ContentsWichtige Definitionen.- Was ist EDI?.- Grundlagen von EDI.- (IT-)Wertbeitrag und Business-/IT-Alignment.- Stolperfallen, Missverständnisse, Handlungsempfehlungen und Erfolgsfaktoren.- Ausblick.
£13.62
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Process-Mining: Geschäftsprozesse: smart, schnell und einfach
Book SynopsisDie Autoren geben einen praxisorientierten Einstieg in Process-Mining mit unternehmensbezogenen Anwendungsfällen und einer Marktübersicht der Software, die hilft, Geschäftsprozesse schnell, smart und einfach zu gestalten. Auf Basis von Log-Daten der Geschäftsvorgänge erstellt Process-Mining automatisch Modelle der Ist-Abläufe, kann diese mit Soll-Abläufen vergleichen und helfen, Geschäftsprozesse zu optimieren. Weitere Anwendungen von Process-Mining sind u.a. Governance, Risk und Compliance Management, IT-Migration und -Implementierung sowie Entwicklung digitaler Geschäftsmodelle. Process-Mining ist gerade auch für kleinere und mittelgroße Unternehmen von großer Bedeutung für die Wettbewerbsfähigkeit.Die Autoren Ralf Peters ist selbstständiger Unternehmensberater und Interimsmanager. Er unterstützt Unternehmen in Transformationsphasen, bei Post-Merger-Integrationen, IT-Implementierungen sowie dem Einsatz von Process-Mining. Prof. Dr. Markus Nauroth lehrt Wirtschaftsinformatik an der Hochschule Mainz und verantwortet u.a. als Studiengangleiter den Bachelor-Studiengang Angewandte Informatik. Zuvor war er als Unternehmensberater in London und New York tätig.Table of ContentsProcess-Mining im Vergleich zu anderen Methoden.- Praktische Anwendung von Process-Mining, Relevanz für KMU.- Datenschutz und -sicherheit.- Process-Mining-Software-Tools.
£13.62
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Virtual Reality und Augmented Reality in der
Book SynopsisIn diesem Sammelband werden aktuelle Themen aus Forschung und Praxis zu VR und AR (Virtual Reality bzw. Augmented Reality) im Kontext der Digitalen Produktion behandelt. Experten und Expertinnen schreiben über den aktuellen Stand der Technik, praxisnahe, industrielle Anwendungen sowie über den Ausblick in die Zukunft. Im Bereich der Konzepte wird über Maschinensimulation ebenso berichtet wie über Schulungseinsatz und den digitalen Zwilling zur Fabrikplanung. Anwendungsberichte umfassen immersives Lernen, Instandhaltung, Logistik und Produktion.Table of ContentsTechnische Grundlagen zur Darstellung von virtuellen Inhalten.- Historische Entwicklung von Virtual und Augmented Reality.- Aktueller Überblick über Hardware und Software und den Stand der Technik.- Im Markt erfolgreiche Anwendungen in verschiedensten Bereichen digitaler Produktion und deren Umfeld.- Potentielle zukünftige Einsatzszenarien.
£66.49
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Digitalisierung und Künstliche Intelligenz:
Book SynopsisFür jeden von uns ist heute die Frage wichtig, wie in Zukunft Menschen und Maschinen zum Wohle des Menschen zusammenarbeiten und welche Anforderungen an Menschen hierbei entstehen. Dieses essential bietet für Interessierte den Einstieg. Wenn wir die Entwicklung in geeignete Bahnen lenken, dürfen wir dieser auch gespannt entgegensehen: Dann wirken – verbunden mit KI – Achtsamkeit, Anstrengung, Aufklärung, Anleitung und auch ein Stück weit Abenteuer im positiven Sinne zusammen.Table of ContentsGrundlagen zu Digitalisierung, Vernetzung und KI.- Anwendungsfelder und Herausforderungen beim Einsatz von KI.- Kompetenzanforderungen.
£13.62
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Quick Guide Digitale Transformation im
Book SynopsisDieses Buch liefert mittelständischen Unternehmen und ihren Entscheidungsträgern praxisnahe Handlungsempfehlungen für die digitale Transformation. Diese Publikation vermittelt innerhalb einer kurzen Lesezeit kompakt die relevantesten Erfolgsfaktoren in den zentralen Bereichen eines mittelständischen Unternehmens bei der Digitalisierung. Zwei empirische Studien untermauern die gesammelten Erkenntnisse, welche durch Best Practice-Beispiele und Kommentare relevanter „Digital Leader“ angereichert werden, sodass der Leserin und dem Leser die unmittelbare Anwendung des Erlernten ermöglicht wird.Der Inhalt Strategie - Die Digitalisierung effektiv nutzen Kundenkontakt und -kommunikation - Die Rolle des Kunden für den Unternehmenserfolg Wertschöpfung - Die Digitalisierung als Werkzeug wirtschaftlicher Tätigkeiten Organisation - Veränderungen verstehen und gestalten Table of ContentsEinleitung.- Strategie - Die Digitalisierung effektiv nutzen.- Kundenkontakt und -kommunikation – Die Rolle des Kunden für den Unternehmenserfolg.- Wertschöpfung - Die Digitalisierung als Werkzeug wirtschaftlicher Tätigkeiten.- Organisation – Veränderungen verstehen und gestalten.- Ausblick.
£24.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Kollaboratives Wissensmanagement: Grundlagen und
Book SynopsisDas neue Konzept des kollaborativen Wissensmanagements bietet die Grundlage für eine erfolgreiche und effiziente Wissensarbeit im Unternehmen. Es richtet sich an den konkreten Gegebenheiten und Bedarfen des Unternehmens aus, ohne die langfristigen Unternehmensziele zu vernachlässigen. Auf diese Weise wird kollaboratives Wissensmanagement von Belegschaft und Management gleichermaßen getragen. Wissensmanagement lässt sich nicht für die Mitarbeitenden eines Unternehmens, sondern nur mit ihnen gemeinsam gestalten.Richard Grasshoff, Wissensmanager und langjähriger Experte auf diesem Gebiet, hat aus der Praxis die Grundlagen des kollaborativen Wissensmanagements formuliert und zeigt anhand von Fallstudien, wie erfolgreiches – kollaboratives – Wissensmanagement in der Praxis umgesetzt werden kann.Ein Buch für alle Praktiker und Manager, die vor der Herausforderung Wissensmanagement stehen und Anregungen sowie Impulse bei der Konzipierung eigener Ansätze benötigen.Mit Illustrationen von Christoph J KellnerTable of ContentsGrundlagen.- Fallstudie 1: Einführung eines Wissensmanagements in einem Unternehmen.- Fallstudie 2: Wissensmanagement im Großprojekt.- Transformation und Neugestaltung von dysfunktionalem Wissensmanagement.- Instrumente für die Erfolgsmessung im Wissensmanagement.- Werte und Firmenkultur.- Fazit und Ausblick.
£29.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Blockchain-Technologie für Unternehmensprozesse:
Book SynopsisBlockchain-Technologie jenseits von Krypto-Währungen: Entdecken Sie die vielfältigen Nutzungsmöglichkeiten für Ihr UnternehmenIn diesem praxisorientierten Fachbuch werden die Grundlagen zum Thema Blockchain-Technologie vorgestellt und der Leser erfährt, wo und wie er diese Technologie sinnvoll in Unternehmensprozessen anwenden kann. Es werden zunächst die allgemeinen Merkmale der Blockchain-Technologie beschrieben; anschließend wird über verschiedene Schritte der eigentliche Use Case entwickelt und vorgestellt. Dazu gehört eine Stakeholderanalyse sowie die Überprüfung des angedachten Falles mittels des sogenannten Blockchain-Decision-Path. Zudem werden die Kernkonzepte sowie die Rollen, die gemäß der Technologie zu besetzen sind, vorgestellt. Aus dem Inhalt Einsatz der Blockchain-Technik und agiles Arbeiten Blockchain-Arten, Protokolle und Konsensmodelle Methoden der Prozessanalyse: Entscheidungspfad und Nutzwertanalyse Entwicklung eines individualisierten Blockchain-Modells Zukunftsanalysen zur Blockchain-Technologie Erhalten Sie einen Überblick über Einsatzmöglichkeiten, Technik und Status Quo der Blockchain-TechnologieDieses Fachbuch ist sowohl für Manager, Geschäftsführer, Developer, Strategen und Unternehmensberater als auch für Studierende geeignet und bietet viele Übungen und Beispiele.Mit Hilfe dieser Lektüre wird es dem Leser möglich sein, seine eigenen, für ihn notwendigen Schritte zu unternehmen, den geeigneten Unternehmensprozess herauszufiltern sowie die Roadmap für einen ersten Prototyp zu erstellen. Für die Erstellung eines Prototyps wird über User Experience und Frontend-Lösungen genauso nachzudenken sein wie über die Architektur der Backend-Blockchain-Lösung. Die Autorin erläutert dies anhand von Praxisbeispielen, um auch Nicht-Developern den Zugang zu diesen Kenntnissen zu ermöglichen. Für die zweite Auflage wurde das Buch überarbeitet und um neue Abschnitte ergänzt: Aktualisierung der Konsensmodelle, Erweiterung der einzusetzenden Tools um den Morphologischen Kasten und Non-Fungible-Token (NFT).Table of ContentsEinführung.- Konsensmodelle.- Weitere Elemente im Blockchain-System.- „Handwerkszeug“ (Prozessanalyse).- The Code is the Law.- Der nächste Hype?.- Zukunftsthesen.- Ausblick.
£39.99
£26.10
£18.57
Independently Published Semantic Seo: The Semantic-aware SEO workflow
Book Synopsis
£11.18
Elsevier Science & Technology Actuarial Principles
Book SynopsisTable of Contents1. Introduction to Deep Learning and Financial Modeling 2. Deep Learning and Addressing the Class Imbalance Problem 3. Predicting Interest Rates and Spreads Using Deep Learning 4. Predicting Stock Market prices using Deep Learning 5. Predicting Inflation Rates using Deep Learning 6. Analyzing the GDP using Deep Learning 7. Predicting Exchange Rates using Deep Learning 8. Asset Allocation Optimization Using Deep Learning 9. Deep Learning, Credit Scoring and Underwriting 10. Deep Learning and Fraud Detection 11. Deep Learning and Sentiment/News Analysis 12. Banking and Insurance Solvency Capital Calculation Using Deep Learning 13. Insurance Pricing Using Deep Learning 14. Conclusion
£69.26
Taylor & Francis Ltd Critical Systems Analysis and Design
Book SynopsisTaking a unique approach to systems analysis and design, this insightful book provides learners with a critical personal framework for considering and developing knowledge and practice of systems analysis and design. Each chapter begins by highlighting what can be learned on its completion and ends with a critical skills development section containing activities, tasks and discussion questions. Chapters cover:* systems analysis and design in concept and action* structured data modelling* making systems analysis and design inclusive.Although the discussion and examples in this text are drawn primarily from business information systems, the lessons apply to both government and healthcare information systems and to systems development in general.Critical Systems Analysis and Design makes a complex area of study accessible and relevant and as such is an indispensable textbook for both advanced students and professionals concerned with the innovatTrade ReviewPatel’s clear but critical treatment of traditional methodologies is thought-provoking and effective…providing a powerful framework for reflective examination of many cherished preconceptions and beliefs. - Dr Jon Dron, University of BrightonTable of ContentsPart 1: Foundations for Critical Learning and Teaching 1. The PAC Cycle 2. Critical Knowledge and Practice Framework Part 2: IS, Projects and Application Domains 3: Systems Analysis and Design in Concept and Action 4. System Project Management 5. System Analyst Part 3. System Analysis 6. Requirements: The system to be (or not) 7. Structured Data Modelling 8. Structured Process Modelling 9. Object Modelling Part 4: System Design 10. Interface, Input and Output Design 11. System Design Part 5: Criticality, Paradigms and IS Development 12. Social Action 13. Critical Reflection 14. Ways of Thinking and Acting Part 6: The Future of IS Development 15. Making Systems Analysis and Design Inclusive
£166.25
Pearson Education Limited Using MIS Global Edition
Book SynopsisDavid Kroenke has many years of teaching experience at Colorado State University, Seattle University, and the University of Washington. He has led dozens of seminars for college professors on the teaching of information systems and technology; in 1991, the International Association of Information Systems named him Computer Educator of the Year. In 2009, David was named Educator of the Year by the Association of Information Technology Professionals-Education Special Interest Group (AITP-EDSIG). David worked for the U.S. Air Force and Boeing Computer Services. He was a principal in the startup of three companies, serving as the vice president of product marketing and development for the Microrim Corporation and as chief of database technologies for Wall Data, Inc. He is the father of the semantic object data model. David's consulting clients have included IBM, Microsoft, and Computer Sciences Corporations, as well as numerous smaller companies. Recently, David Table of Contents I. Why MIS? 1. The Importance of MIS 2. Collaboration Information Systems 3. Strategy and Information Systems II. Information Technology 4. Hardware, Software, and Mobile Systems 5. Database Processing 6. The Cloud III. Using IS for Competitive Advantage 7. Processes, Organizations, and Information Systems 8. Social Media Information Systems 9. Business Intelligence Systems IV. Information Systems Management 10. Information Systems Security 11. Information Systems Management 12. Information Systems Development The International Dimension Application Exercises Glossary
£67.44
Rowman & Littlefield Knowledge Management: A Practical Guide for
Book SynopsisWhile librarians and information professional are experts at providing resources to users, managing their own internal working knowledge and information can be a challenge. As information environments continue to become more complex, librarians and other information professionals must build on the existing expertise and skills within their organizations to keep them relevant to the information needs of their patrons and communities. Knowledge management (KM) is an intentional set of strategies intended to capture, preserve, and use human knowledge from employees to further the goals of an organization. Knowledge Management: A Practical Guide for Librarians will help librarians recognize, organize, communicate, and leverage both the tacit and explicit knowledge already in their organizations for the benefit of themselves and their users. Topics covered include: Why knowledge management is important in libraries and information organizations The knowledge management lifecycle: capturing, organizing, storing, sharing, and updating knowledge Capturing tacit and explicit knowledge and getting staff buy-in Tools and methods for recording and developing organizational information flow Facilitating the transfer of organizational knowledge and expertise Promoting knowledge innovation and learning Knowledge Management is intended to help individual librarians and library managers in all library settings (academic, public, school, special, etc.) to think critically about their existing knowledge management environments with an eye toward improving existing procedures or implementing a KM program. This guide will provide readers with basic background information and useful, targeted exercises and examples to help them develop knowledge management programs in their own organizations.Table of ContentsList of IllustrationsPrefacePart I: Introduction to Knowledge ManagementChapter 1: Introducing Knowledge ManagementChapter 2: Types of Knowledge and the KM LifecycleChapter 3: Goals and the Knowledge Management FrameworkChapter 4: People at the Center: Creating a Culture of KMPart II: The Knowledge Management LifecycleChapter 5: Capturing Knowledge: Acquisition and CreationChapter 6: Organizing Knowledge: Structure and CompilationChapter 7: Storing Knowledge: Integration and StabilityChapter 8: Sharing Knowledge: Learning and DisseminationChapter 9: Updating Knowledge: Assessment and EvaluationPart III: Next Steps in Knowledge ManagementChapter 10: Future Directions for KM in LibrariesIndexAbout the Author
£53.00
PublicAffairs,U.S. Meganets: How Digital Forces Beyond Our Control
Book SynopsisHow the autonomous digital forces jolting our lives - as uncontrollable as the weather and plate tectonics - are transforming life, society, culture, and politics.David Auerbach's exploration of the phenomenon he has identified as the meganet begins with a simple, startling revelation: There is no hand on the tiller of some of the largest global digital forces that influence our daily lives: from corporate sites such as Facebook, Amazon, Google, YouTube, Instagram, and Reddit to the burgeoning metaverse encompassing cryptocurrencies and online gaming to government systems such as China's Social Credit System and India's Aadhaar.As we increasingly integrate our society, culture and politics within a hyper-networked fabric, Auerbach explains how the interactions of billions of people with unfathomably large online networks have produced a new sort of beast: ever-changing systems that operate beyond the control of the individuals, companies, and governments that created them.Meganets, Auerbach explains, have a life of their own, actively resisting attempts to control them as they accumulate data and produce spontaneous, unexpected social groups and uprisings that could not have even existed twenty years ago. And they constantly modify themselves in response to user behavior, resulting in collectively authored algorithms none of us intend or control. These enormous invisible organisms exerting great force on our lives are the new minds of the world, increasingly commandeering our daily lives and inner realities.Auerbach's analysis of these gargantuan opaque digital forces yield important insights such as:- The conventional wisdom that the Googles and Facebook of this world are tightly run algorithmic entities is a myth. No one is really in control.- The efforts at reform - to get lies and misinformation off meganets - run into a brick wall because the companies and executives who run them are trapped by the persistent, evolving, and opaque systems they have created.- Bitcoin and other cryptocurrencies are uncontrollable and their embrace by elite financial institutions threatens the entire economy- We are asking the wrong questions in assuming that if only the Facebooks of this world could be better regulated or broken up that they would be better, more ethical citizens- Why questions such as making algorithms fair and bias-free and whether AI can be a tool for good or evil are wrong and misinformedAuerbach then comes full circle, showing that while we cannot ultimately control meganets we can tame them through the counterintuitive measures he describes in detail.
£22.50
Apple Academic Press Inc. Ecosystems and Technology: Idea Generation and
Book SynopsisEcosystems and Technology: Idea Generation and Content Model Processing, presents important new innovations in the area of management and computing. Innovation is the generation and application of new ideas and skills to produce new products, processes, and services that improve economic and social prosperity. This includes management and design policy decisions and encompasses innovation research, analysis, and best practice in enterprises, public and private sector service organizations, government, regional societies and economies. The book, the first volume in the Innovation Management and Computing book series, looks at technology that improves efficiency and idea generation, including systems for business, medical/health, education, and more. The book provides detailed examples to provide readers with current issues, including Venture planning for innovations New technologies supporting innovations systems Competitive business modeling Context-driven innovation modeling The generation of ideas faster The measurement of relevant data Virtual interfaces Business intelligence and content processing Predictive modeling Haptic expression and emotion recognition innovations, with applications to neurocognitive medical science This book provides a wealth of information that will be useful for IT and business professionals, educators, and students in many fields.Table of ContentsTechnology Selection for Software Startups. Innovation Ecosystems and Technology. Self-Organizing Coordination and Control Approaches: The Impact of Social Norms on Self-Regulated Innovation Activities in Self-Managing Teams. Digital Opportunities for First-Year University Students’ Motivational Enhancement. Building a Successful Innovation Platform for Affordable Medical Technology in Low Resource Settings. Soft-Factors Enabling Innovation. IoT and M.E.S.: Are You Ready for the Next Industrial Revolution?. A Structured Process to Generate Ideas in Med Tech. Logic-Based Medicine versus Evidence-Based Medicine for Modeling Qualified-Self Health Kits. Virtual Mobile Interfaces, Business Intelligence, and Analytics Content Processing. A Haptic Computing basis for Facial or Visual Emotion Expression Recognition.
£86.44
LID Publishing Seeing Around Corners: How culture will unlock
Book SynopsisAnalytics has become a key driver of competitive advantage for organizations, underpinning new waves of productivity, growth, innovation and customer insights. As the availability of data increases, it becomes ever more important that decision makers across companies can fully exploit the potential of analytics to provide effective insights. By expertly linking data and decision making, the authors present a new paradigm which will forge the way into helping develop products and services that cam positively contribute to society. Graham draws on his unique background in military intelligence, strategy consulting and analytics. Presenting research, personal experiences and case studies, in an engaging and practical format.
£15.99
Springer International Publishing AG Managing by the Bhagavad Gītā: Timeless Lessons for Today’s Managers
Book SynopsisDrawing upon the timeless wisdom of the Bhagavad Gītā, a philosophical-spiritual world classic, this professional book highlights the spiritual and moral dimensions of management using an inside-out leadership development approach. It interprets the Bhagavad Gītā’s teachings on the personality types and psychological makeup of managers and employees; self-knowledge and self-mastery; and the leadership concepts of vision, motivation, and empowerment. This book covers topics such as training of the mind, ethical leadership, communication, stress management, and corporate social responsibility (CSR). Collectively, the enclosed contributions provide managers with an enhanced outlook on management functions such as leading, planning, organizing, and controlling in today’s organizations, particularly those run by knowledge workers. Management research in the 20th century has mainly focused on the industrial paradigm characterized by a hierarchical structure of authority and responsibility with an individualistic focus on the personality of the manager. However, this traditional paradigm cannot solve many of the problems that confront leaders and mangers today. Recent studies have shown that values traditionally associated with spirituality—such as integrity, honesty, trust, kindness, caring, fairness, and humility—have a demonstrable effect on managerial effectiveness and success. Although traditionally interpreted as a religious-spiritual text, the Bhagavad Gītā teaches these values which can be extrapolated and applied to practical management lessons in today’s corporate boardrooms. Applying the text of the Bhagavad Gītā to the context of management, this book views the manager as an “enlightened sage” who operates from higher stance, guided by self-knowledge and self-mastery. It demonstrates how character is the key ingredient for effective management and leadership. This book is therefore applicable to all managers, from first-line to CEOs, in their management and leadership roles in organizations. Table of ContentsPreface. Prounciation Key.- Chapter 1: The Text, Context and the Message of the Gītā.- Chapter 2: Training the Mind for the Knowledge and Creative Work.- Chapter 3: Do the Right Thing: The Ethical Philosophy of the Gītā.- Chapter 4: Ten Key Management Messages from the Bhagavad Gītā.- Chapter 5: Leadership and Communication of the Bhagavad Gītā: Unity, Duty and Equanimity.- Chapter 6: Application for Gītā 2:47 for Superior Business Performance During Industry 4.0.- Chapter 7: Bhagavad Gītā Approach to Stress Mitigation and Holistic Well-Being.- Chapter 8 Ethics of Enlightenment Leaders.- Chapter 9: Śrīmad Bhagavad Gītā and Knowledge Management with special focus on Jñāna Yoga.- Chapter 10: The Bhagavad Gītā as an Antidote To Duality.- Chapter 11: Bhagavad Gītā and Management: A New Perspective.- Chapter 12: Values Based Management: Guided by the Bhagavad Gītā.- Chapter 13: Distinguishing Revelation Politics from Salvation Theology in the Bhagavad Gītā's Message for Leaders and Managers.- Chapter 14: Lokasamgraha: An Indigenous Construct of Leadership and its Measure.- Chapter 15: Epilogue: Timeless Teachings of the Gītā.
£40.49
Walter de Gruyter Geschäftsprozessmodellierung Mit Bpmn 2.0:
Book Synopsis
£26.82
Springer Fachmedien Wiesbaden Unternehmensmodellierung: Grundlagen, Methode und Praktiken
Book SynopsisUnternehmensmodellierung dient dazu, die wichtigsten Komponenten von Organisationen sowie deren Relationen zueinander abzubilden. Sie wird bei einer Vielzahl strategischer und operativer Aufgaben eingesetzt. In dem Buch erläutern die Autoren anhand der Methode „Kochbuch“ die Grundlagen und Einsatzwecke der Unternehmensmodellierung, insbesondere stellen sie die unterschiedlichen Perspektiven auf ein Unternehmen und die Analysetechniken dar. Die Konzepte und Methoden können durch genaue Vorgehensbeschreibungen unmittelbar angewendet werden.Table of ContentsEinführung.- Grundlagen der Unternehmensmodellierung.- Fallstudie.- Grundlegende Analysetechniken.- Teilmodelle der EKM-Methode.- Werkzeuge der Unternehmensmodellierung.- Die EKM-Methode in der Praxis.- Analyse von Unternehmensmodellen.- Ausblick.- Anhang.
£42.74
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Prozessmanagement: Modelle und Methoden
Book SynopsisDieses Buch führt in grundlegende Modelle und Methoden für die Planung, Steuerung und Überwachung von Unternehmensprozessen ein. Im Mittelpunkt der Diskussion steht die Analyse der Abläufe mit dem Ziel der Optimierung. Besondere Aufmerksamkeit wird analytischen und wissensbasierten Verfahren gewidmet. Zu diesem Zweck werden sowohl verschiedene Modelle entworfen als auch entsprechende Methoden zur Problemlösung vorgestellt. Dabei werden die Entwurfs- und die Realisierungsebene von Prozessen unterschieden und einer eingehenden Betrachtung unterzogen. Den Rahmen der Ausführungen bilden die Aufgaben des dispositiven ProzessmanagementsTable of ContentsVorwort.- 1. Grundlagen betriebswirtschaftlicher Prozesse.- 2. Planung von Unternehmensprozessen.- 3. Ablauforientiertes Prozessmanagement.- 4. Analytische Verfahren.- 5. Wissensbasierte Verfahren.- Literaturverzeichnis.
£47.49
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Logistik in Wissenschaft und Praxis: Von der
Book SynopsisTable of ContentsImpact of the Covid-19 Pandemic on Supply Chain Management.- How Does Additive Manufacturing Affect the Spare Parts Supply Chain? – a Literature Review.- Design of a framework model for the implementation and application of a supply chain event management system.- Vom Logistiksystem über Supply Chains zu Business Ökosystemen: neue Herausforderungen für das Logistikmanagement.- Modellbasierter Entwurf eines Produktionssystems im Flugzeugbau.- Agile methods for complexity management: A literature overview.- Datenqualitätsherausforderungen in der Fahrzeuglogistik.- Methoden und Werkzeuge für die synergetische Konzeption und Bewertung von Industrie 4.0-Lösungen.- Data-Analytics-Projekte in der Beschaffung erfolgreich umsetzen.- Digitale Logistikplattformen – Erste Ansätze zur Marktsegmentierung im Lichte traditioneller und neuer Anbieter.- Produktentwicklung im Kontext von Industrie 4.0 in der Automobilindustrie – Eine bibliometrische Analyse.- Der digitale Logistikplaner - softwaregestützt Projekte meistern.- Circular Supply Management: Beitrag der Beschaffung zu wirksamer Nachhaltigkeit in Lieferketten.- Langsam, aber sicher: Mithilfe von digitalen Technologien auf dem Weg zur Beschaffung 4.0.- Facilitating knowledge sharing and cooperation in public procurement by professional social networks - learnings from the public administration and procurement network.- Optimierung der Losgröße mittels spektraler Präferenzen.- Bid-Preis gesteuerte Auftragsannahme in der Make-to-Order-Produktion unter Berücksichtigung von Kundenwertigkeiten.- An MIP-based heuristic decomposition approach for distributed energy resource scheduling.- Datenbasierte Infrastrukturoptimierung bidirektionaler Wasserstraßen mit Engstellen: Eine Fallstudie für den Nord-Ostsee-Kanal.- Optimierungsmodelle und Forschungsfragen in der Elektrizitätswirtschaft.- Simulation in der Computer-Chip-Produktion – Möglichkeiten und Grenzen.- Wie innovative Logistik hilft die Automatisierung und Digitalisierung der Halbleiterindustrie zukunftssicher und nachhaltig zu gestalten.- Printmedienzustellung bei Zeitlohn unter Verwendung von kantenorientierter Tourenplanung.- Aktuelle Bestandsaufnahme einer kundenindividuellen und nachhaltigen Lebensmittellogistik anhand einer Webscan-basierten Analyse.- Vehicle Routing and the VDI directive 2700/Part 4 on Axle Weight Constraints.- Individualization of public passenger transport: relevant planning problems and their synchronization.- Humanitäre Informationslogistik: Ein generisches Anlaufkonzept für eine Informationssystemlandschaft im pandemie-bedingten Katastrophenfall.- Betriebswirtschaftliche Leistungsmessung in der globalen humanitären Logistik.- Stand von Forschung und Lehre im Themenfeld der humanitären Logistik an deutschen Hochschulen.- Operative Hochwasserbekämpfung in einer akuten Gefahrenlage am Beispiel Dresden.
£94.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Einführung in das Informationsmanagement
Book SynopsisInformationsgesellschaft, Information als Wettbewerbsfaktor, Informationsflut: Diese Stichworte verdeutlichen die unternehmerische und gesellschaftliche Bedeutung von Informationen. Doch nicht nur Information allein, sondern auch die Systeme, die Informationen verarbeiten, speichern und übertragen sowie die Technologien, auf denen sie beruhen, verdienen Aufmerksamkeit. Informationsmanagement hat die Aufgabe, den im Hinblick auf das Unternehmensziel bestmöglichen Einsatz der Ressource Information zu gewährleisten. Es zählt zu den wesentlichen Bestandteilen heutiger Unternehmensführung. Das Lehrbuch vermittelt in 13 Einheiten die Grundlagen des Informationsmanagements. Dabei werden neben den Managementaufgaben der Informationswirtschaft, der Systeme und der Technologien auch ausgewählte Führungsaufgaben des Informationsmanagementsbehandelt. Jede Lehreinheit beginnt mit einem Überblick über die behandelten Themen und schließt mit einer Zusammenfassung sowie Aufgaben zur Wiederholung ab. So richtet sich dieses Buch insbesondere an Bachelorstudenten in den Fächern Wirtschaftsinformatik, BWL und Informatik. Table of ContentsVorwörter.- Einleitung.- 1. Grundlagen des Informationsmanagement.- 2. Management der Informationswirtschaft.- 3. Management der Informationssysteme.- 4. Management der Informations- und Kommunikationstechnik.- 5. Ausgewählte Führungsaufgaben des Informationsmanagements.- Verzeichnisse.
£36.09
Wiley Information Security Governance
Book SynopsisThis book provides an understanding of governance and its relevance to information security. It gives readers a clear, step-by-step approach to developing a sound security strategy aligned with their business objectives in order to ensure a predictable level of functionality and assurance.Table of ContentsINTRODUCTION. CHAPTER 1: GOVERNANCE OVERVIEW. 1.1 What Is It? 1.2 Back to Basics. 1.3 Origins of Governance. 1.4 Governance Definition. 1.5 Information Security Governance. 1.6 Six Outcomes of Effective Security Governance. 1.7 Defining Information, Data, Knowledge. 1.8 Value of Information. CHAPTER 2: WHY GOVERNANCE? 2.1 Benefits of Good Governance. 2.1.1 Aligning Security with Business Objectives. 2.1.2 Providing the structure and framework to optimize allocations of limited resources. 2.1.3 Providing assurance that critical decisions are not based on faulty information. 2.1.4 Ensuring accountability for safeguarding critical assets. 2.1.5 Increasing trust of customers and stakeholders. 2.1.6 Increasing the company’s worth. 2.1.7 Reducing liability for information inaccuracy or lack of due care in protection. 2.1.8 Increasing predictability and reducing uncertainty of business operations. 2.2 A Management Problem. CHAPTER 3: LEGAL AND REGULATORY REQUIREMENTS. 3.1 Security Governance and Regulation. CHAPTER 4: ROLES & RESPONSIBILITIES. 4.1 The Board of Directors. 4.2 Executive Management. 4.3 Security Steering Committee. 4.4 The CISCO. CHAPTER: STRATEGIC METRICS. 5.1 Governance Objectives. 5.1.1 Strategic Direction. 5.1.2 Ensuring Objectives are Achieved. 5.1.3. Risks Managed Appropriately. 5.1.4 Verifying Resources are Used Responsibly. CHAPTER 6: INFORMATION SECURITY OUTCOMES. 6.1 Defining Outcomes. 6.1.1 Strategic alignment. 6.1.2 Risk Management. 6.1.3 Business process assurance / convergence. 6.1.4 Value delivery. 6.1.5 Resource management. 6.1.6 Performance measurement. CHAPTER 7: SECURITY GOVERNANCE OBJECTIVES. 7.1 Security Architecture. 7.1.1 Managing Complexity. 7.1.2 Providing a Framework & Road Map. 7.1.3 Simplicity & Clarity through Layering & Modularisation. 7.1.4 Business Focus beyond the Technical Domain. 7.1.5 Objectives of Information Security Architectures. 7.1.6 SABSA Framework for Security Service Management. 7.1.7 SABSA Development Process. 7.1.8 SABSA Lifecycle. 7.1.9 SABSA Attributes. 7.2 COBIT. 7.3 Capability Maturity Model. 7.4 ISO/IEC 27001/ 27002. 7.4.1 ISO 27001. 7.4.2 ISO 27002. 7.5 Other Approaches. 7.5.1 National Cybersecurity Task Force. CHAPTER 8: RISK MANAGEMENT OBJECTIVES. Risk Management Responsibilities. Managing Risk Appropriately. 8.1 Determining Risk Management Objectives. 8.1.1 Recovery Time Objectives. CHAPTER 9: CURRENT STATE. 9.1 Current State of Security. 9.2 Current State of Risk Management. 9.3 Gap Analysis - Unmitigated Risk. 9.3.1 SABSA. 9.3.2 CMM. CHAPTER 10: DEVELOPING A SECURITY STRATEGY. 10.1 Failures of Strategy. 10.2 Attributes of A Good Security Strategy. 10.3 Strategy Resources. 10.3.1 Utilizing Architecture for Strategy Development. 10.3.2 Using Cobit for Strategy Development. 10.3.3 Using CMM for Strategy Development. 10.4 STRATEGY CONSTRAINTS. 10.4.1 Contextual constraints. 10.4.2 Operational constraints. CHAPTER 11: SAMPLE STRATEGY DEVELOPMENT. 11.1 The Process. CHAPTER 12: IMPLEMENTING STRATEGY. Action Plan Intermediate Goals. Action Plan Metrics. Re-engineering. Inadequate Performance. 12.1 Elements Of Strategy. 12.1.1 Policy Development. Attributes of Good Policies. Sample Policy Development. Other Policies. 12.1.2 Standards. Attributes of Good Standards. Sample Standards. Classifications. Standard Statement. CHAPTER 13: SECURITY PROGRAM DEVELOPMENT METRICS. 13.1 Information Security Program Development Metrics. 13.2 Program Development Operational Metrics. CHAPTER 14: INFORMATION SECURITY MANAGEMENT METRICS. 14.1 Management Metrics. 14.2 Security Management Decision Support Metrics. 14.4 CISO Decisions. 14.2.1 Strategic alignment. 14.2.2 Risk Management. 14.2.3 Metrics for Risk Management. 14.2.4 Assurance Process Integration. 14.2.5 Value Delivery. 14.2.6 Resource Management. 14.2.7 Performance Measurement. 14.7 Information Security Operational Metrics. 14.3.1 IT and Information Security Management. 14.3.2 Compliance Metrics. CHAPTER 15: INCIDENT MANAGEMENT AND RESPONSE METRICS. 15.1 Incident Management Decision Support Metrics. Conclusion. Appendix A. SABSA Business Attributes & Metrics. Appendix B. Cultural Worldviews. Heirarchists. Egalitarians. Individualists. Fatalists.
£77.36
Princeton University Press Information Science
Book SynopsisFrom cell phones to Web portals, advances in information and communications technology have thrust society into an information age that is far-reaching, fast-moving, increasingly complex, and yet essential to modern life. Now, renowned scholar and author David Luenberger has produced Information Science, a text that distills and explains the most important concepts and insights at the core of this ongoing revolution. The book represents the material used in a widely acclaimed course offered at Stanford University. Drawing concepts from each of the constituent subfields that collectively comprise information science, Luenberger builds his book around the five E''s of information: Entropy, Economics, Encryption, Extraction, and Emission. Each area directly impacts modern information products, services, and technology--everything from word processors to digital cash, database systems to decision making, marketing strategy to spread spectrum communication.Trade ReviewWinner of the 2006 Award for Best Professional/Scholarly Book in Computer & Information Science, Association of American Publishers "This is a fascinating and enjoyable book to read. It is clear throughout the book that David Luenberger is an experienced teacher who has put careful thought into his writing. He wrote and uses this book for a course in the Dept. of Engineering--Economic Systems and Operations Research at Stanford University. The students range from sophomores to graduate students, and the book is very readable for students at all of these levels."--Susan Kelly, The UMAP JournalTable of ContentsPreface xiii Chapter 1: INTRODUCTION 1 1.1 Themes of Analysis 2 1.2 Information Lessons 4 Part I: ENTROPY: The Foundation of Information Chapter 2: INFORMATION DEFINITION 9 2.1 A Measure of Information 10 2.2 The Definition of Entropy 12 2.3 Information Sources 14 2.4 Source Combinations 15 2.5 Bits as a Measure 16 2.6 About Claude E. Shannon 17 2.7 Exercises 18 2.8 Bibliography 19 Chapter 3: CODES 21 3.1 The Coding Problem 21 3.2 Average Code Length and Entropy 27 3.3 Shannon's First Theorem 30 3.4 Exercises 33 3.5 Bibliography 34 Chapter 4: COMPRESSION 35 4.1 Huffman Coding 35 4.2 Intersymbol Dependency 40 4.3 Lempel-Ziv Coding 44 4.4 Other Forms of Compression 48 4.5 Exercises 52 4.6 Bibliography 53 Chapter 5: CHANNELS 55 5.1 Discrete Channel 56 5.2 Conditional and Joint Entropies 57 5.3 Flipping a Channel 60 5.4 Mutual Information 62 5.5 Capacity* 65 5.6 Shannon's Second Theorem* 66 5.7 Exercises 68 5.8 Bibliography 69 Chapter 6: ERROR-CORRECTING CODES 70 6.1 Simple Code Concepts 71 6.2 Hamming Distance 73 6.3 Hamming Codes 75 6.4 Linear Codes 77 6.5 Low-Density Parity Check Codes 78 6.6 Interleaving 79 6.7 Convolutional Codes 80 6.8 Turbo Codes 82 6.9 Applications 83 6.10 Exercises 85 6.11 Bibliography 86 Summary of Part I 89 Part II: ECONOMICS: Strategies for Value Chapter 7: MARKETS 93 7.1 Demand 94 7.2 Producers 97 7.3 Social Surplus 99 7.4 Competition 100 7.5 Optimality of Marginal Cost Pricing 101 7.6 Linear Demand Curves 102 7.7 Copyright and Monopoly 103 7.8 Other Pricing Methods 107 7.9 Oligopoly 108 7.10 Exercises 111 7.11 Bibliography 113 Chapter 8: PRICING SCHEMES 114 8.1 Discrimination 114 8.2 Versions 116 8.3 Bundling 119 8.4 Sharing 124 8.5 Exercises 127 8.6 Bibliography 128 Chapter 9: VALUE 130 9.1 Conditional Information 131 9.2 Informativity and Generalized Entropy* 133 9.3 Decisions 135 9.4 The Structure of Value 135 9.5 Utility Functions* 139 9.6 Informativity and Decision Making* 140 9.7 Exercises 141 9.8 Bibliography 142 Chapter 10: INTERACTION 143 10.1 Common Knowledge 144 10.2 Agree to Disagree? 146 10.3 Information and Decisions 149 10.4 A Formal Analysis* 150 10.5 Metcalfe's Law 153 10.6 Network Economics* 155 10.7 Exercises 159 10.8 Bibliography 160 Summary of Part II 161 Part III: ENCRYPTION: Security through Mathematics Chapter 11: CIPHERS 165 11.1 Definitions 166 11.2 Example Ciphers 166 11.3 Frequency Analysis 169 11.4 Cryptograms 169 11.5 The Vigenere Cipher 171 11.6 The Playfair Cipher 174 11.7 Homophonic Codes 175 11.8 Jefferson's Wheel Cipher 176 11.9 The Enigma Machine 177 11.10 The One-Time Pad 181 11.11 Exercises 183 11.12 Bibliography 184 Chapter 12: CRYPTOGRAPHY THEORY 186 12.1 Perfect Security 186 12.2 Entropy Relations 188 12.3 Use of a One-Time Pad* 193 12.4 The DES and AES Systems 196 12.5 Exercises 197 12.6 Bibliography 198 Chapter 13: PUBLIC KEY CRYPTOGRAPHY 200 13.1 A Basic Dilemma 200 13.2 One-Way Functions 201 13.3 Discrete Logarithms 202 13.4 Diffie-Hellman Key Exchange 203 13.5 Modular Mathematics 205 13.6 Alternative Puzzle Solution 208 13.7 RSA 209 13.8 Square and Multiply* 211 13.9 Finding Primes* 213 13.10 Performance* 214 13.11 The Future 215 Appendix: The Extended Euclidean Algorithm 216 13.12 Exercises 217 13.13 Bibliography 218 Chapter 14: SECURITY PROTOCOLS 220 14.1 Digital Signatures 220 14.2 Blinded Signatures 223 14.3 Digital Cash 225 14.4 Identification 226 14.5 Zero-Knowledge Proofs 228 14.6 Smart Cards 231 14.7 Exercises 234 14.8 Bibliography 235 Summary of Part III 237 Part IV: EXTRACTION: Information from Data Chapter 15: DATA STRUCTURES 241 15.1 Lists 241 15.2 Trees 244 15.3 Traversal of Trees 247 15.4 Binary Search Trees (BST) 248 15.5 Partially Ordered Trees 252 15.6 Tries* 254 15.7 Basic Sorting Algorithms 255 15.8 Quicksort 257 15.9 Heapsort 260 15.10 Merges 261 15.11 Exercises 262 15.12 Bibliography 263 Chapter 16: DATABASE SYSTEMS 264 16.1 Relational Structure 264 16.2 Keys 267 16.3 Operations 267 16.4 Functional Dependencies 271 16.5 Normalization 271 16.6 Joins and Products* 277 16.7 Database Languages 279 16.8 Exercises 281 16.9 Bibliography 282 Chapter 17: INFORMATION RETRIEVAL 284 17.1 Inverted Files 285 17.2 Strategies for Indexing 287 17.3 Inverted File Compression* 291 17.4 Queries 293 17.5 Ranking Methods 294 17.6 Network Rankings 296 17.7 Exercises 299 17.8 Bibliography 299 Chapter 18: DATA MINING 301 18.1 Overview of Techniques 301 18.2 Market Basket Analysis 303 18.3 Least-Squares Approximation 306 18.4 Classification Trees 310 18.5 Bayesian Methods 314 18.6 Support Vector Machines 319 18.7 Other Methods 323 18.8 Exercises 325 18.9 Bibliography 327 Summary of Part IV 327 Part V: EMISSION: The Mastery of Frequency Chapter 19: FREQUENCY CONCEPTS 331 19.1 The Telegraph 334 19.2 When Dots Became Dashes 335 19.3 Fourier Series 338 19.4 The Fourier Transform 339 19.5 Thomas Edison and the Telegraph 342 19.6 Bell and the Telephone 342 19.7 Lessons in Frequency 345 19.8 Exercises 347 19.9 Bibliography 349 Chapter 20: RADIO WAVES 350 20.1 Why Frequencies? 350 20.2 Resonance 354 20.3 The Birth of Radio 354 20.4 Marconi's Radio 355 20.5 The Spark Bandwidth 357 20.6 The Problems 359 20.7 Continuous Wave Generation 360 20.8 The Triode Vacuum Tube 361 20.9 Modulation Mathematics 363 20.10 Heterodyne Principle 365 20.11 Frequency Modulation 367 20.12 Exercises 369 20.13 Bibliography 372 Chapter 21: SAMPLING AND CAPACITY 373 21.1 Entropy 373 21.2 Capacity of the Gaussian Channel 376 21.3 Sampling Theorem 378 21.4 Generalized Sampling Theorem* 380 21.5 Thermal Noise 383 21.6 Capacity of a Band-Limited Channel 384 21.7 Spread Spectrum 385 21.8 Spreading Technique 387 21.9 Multiple Access Systems 388 21.10 Exercises 391 21.11 Bibliography 392 Chapter 22: NETWORKS 393 22.1 Poisson Processes 394 22.2 Frames 395 22.3 The ALOHA System 396 22.4 Carrier Sensing 398 22.5 Routing Algorithms 399 22.6 The Bellman-Ford Algorithm 400 22.7 Distance Vector Routing 401 22.8 Dijkstra's Algorithm 402 22.9 Other Issues 404 22.10 Exercises 405 22.11 Bibliography 406 Summary of Part V 407 Index 409
£87.20
Princeton University Press The Patrons Payoff Conspicuous Commissions in
Book SynopsisIn The Patron's Payoff, Jonathan Nelson and Richard Zeckhauser apply the innovative methods of information economics to the study of art. Their findings, written in highly accessible prose, are surprising and important. Building on three economic concepts--signaling, signposting, and stretching--the book develops the first systematic methodology foTrade ReviewOne of Choice's Outstanding Academic Titles for 2009 "[E]nlightening."--Times Literary Supplement "But the basic point of this book--that a careful study of economic and related social needs can help us further understand the genesis of many works of visual culture--is undeniable, and the editors' and authors' cogent presentation of the possibilities inherent in their approach is masterful. Recognizing the motivations of elites expands our understanding of the roles that visual works could play during the period we now identify as the Italian Renaissance. As a reviewer I congratulate Nelson and Zeckhauser, while continuing to lament art history's inability--in the Renaissance at least--to gain access to a broader understanding of the diverse society and complex and subtle culture that supported the production of these works."--David G. Wilkins, CAA Reviews "In The Patron's Payoff, art historian Jonathan K. Nelson and economist Richard J. Zeckhauser have harnessed their separate disciplines into a new analytical key for understanding the linked motivations of patron and artist or architect in conspicuous commissions... No less than the American financier who donates a museum wing on condition it bears his name, or the merchandiser who endows a university institute named for him, the results of Renaissance patronage had to be, first of all, highly visible."--Judith Harris, California Literary Review "Nelson and Zeckhauser offer historians of art and culture a powerful method for appraising the driving force behind works of art commissioned in the Renaissance... The Patron's Payoff offers and innovative and potent tool for probing how works of art functioned in Renaissance social life."--Michelle O'Malley, Renaissance Quarterly "The book's interdisciplinary approach provides a blueprint for others who might test these concepts with patrons and periods necessarily omitted from this study. Common language and readable prose illuminate the theory and animate the relationships between works of art, patrons, artists, and audience. This book will be useful to art historians, cultural historians, economists, and others interested in the significance of the production and consumption of elite culture."--D.N. Dow, Choice "These are all well-written, interesting, well-researched essays, varying in chronological range and in geographical focus."--Bernadine Barnes, EH.net "[T]his volume is a model of how cross-disciplinary interaction can enrich the understanding of practitioners in two participating disciplines."--Neil De Marchi, Journal of Economic Literature "The Patron's Payoff is impressive not only for its innovative interdisciplinary approach and the compilation of an extensive source material ... the reading [is] very entertaining, and clearly shows that even high-profile science can be attractive and intelligible."--Mila Horky, Sehepunkte "[This] book [is] an innovative examination of art, economics, and communication that should be required reading for all who admire Italy's grand masterpieces as well as those who have made the study of Renaissance art and architecture a profession."--Fredrika Jacobs, European Legacy "One hopes that information economists will gain as much as art historians can from this book."--Sally Hickson, Renaissance and ReformationTable of ContentsIllustrations ix Foreword xiii Preface xvii Introduction 1 Part I: THE COMMISSIONING GAME 15 Chapter One: Main Players: Patrons, Artists, and Audiences 17 Chapter Two: Analytic Framework: Benefits, Costs, and Constraints 37 Chapter Three: Theories of Distinction: Magnificence and Signaling 67 Chapter Four: Selecting and Magnifying Information: Signposting and Stretching 85 Part II: THE PATRON'S PAYOFF 111 Chapter Five: Private Chapels in Florence: A Paradise for Signalers by Jonathan K. Nelson and Richard J. Zeckhauser 113 Chapter Six: Commissioning Familial Remembrance in Fourteenth-Century Florence: Signaling Alberti Patronage at the Church of Santa Croce by Thomas J. Loughman 133 Chapter Seven: Signs of Success: Leone Leoni's Signposting in Sixteenth-Century Milan by Kelley Helmstutler Di Dio 149 Chapter Eight: Mantegna's Madonna della Vittoria and the Rewriting of Gonzaga History by Molly Bourne 166 Chapter Nine: Image Is Everything: Visual Art as Self-Advertising (Europe and America) by Larry Silver 185 Contributors 225 Index 227
£20.90
Stanford University Press Digital Relationships
Book SynopsisTrade Review"In this highly original volume, Jason Davis revisits the classic problem that individual and organizational goals typically diverge. He does so in the context of modern digital media that dramatically facilitate individuals' creation of network ties. When such networking is at cross-purposes to organizational well-being – as often happens when weak ties proliferate – managers badly need the ingenious advice that Davis offers."—Mark Granovetter, Joan Butler Ford Professor, Stanford University; author of Society and Economy: Framework and Principles"Rarely does a book come along that so completely rewrites what we thought we knew. Digital Relationships is just such a book. It's a 'must-read' for academics and executives who want to understand why social networks are so challenging. By probing the deepening chasm between individual and organizational interests, Digital Relationships will re-shape your conception of how social networks work. And more often, don't."—Kathleen Eisenhardt, S. W. Ascherman Professor, Stanford University; co-author of Simple Rules: How to Thrive in a Complex WorldTable of Contents1. Networks are the Problem: Confronting the Social Capital Consensus 2. Too Many Ties: Divergent Interests with the Falling Costs of Digital Networking 3. Ties Too Weak: Insufficient Firm-Specific Social Investments to Mobilize Diversity 4. Entrenched Brokers and Ossified Bridges: Monopolies of Information and Control 5. Scale Too Free: Negative Externalities of Inequality in Social Capital 6. Persistence: Managerial Intervention Transience and the Reemergence of Agency Problems 7. Agentic Function of the Executive: Strategic Social Capital and the Work-From-Home Experiment 8. Network Governance:ReinterpretingOrganizational Design and Boundaries 9. Network Agency over the Life Cycle: Entrepreneurship and Innovation Ecosystems 10. A Research Agenda: More Cases, More Models, More Experiments
£52.20
Edward Elgar Publishing Ltd Innovation and Institutional Embeddedness of
Book SynopsisThis pathbreaking book goes some way to fill this gap in the literature and as such, will prove invaluable to academics, R&D managers, regional policy makers and students with an interest in international business, business economics, regional studies and organization studies.Trade ReviewThis wonderful volume brings together contributions mainly from the innovation literature, whose findings are in a sense quite familiar, but which in this collection are juxtaposed in such a way as to highlight their common institutional underpinnings. This is very much due to the efforts of the editor, whose insightful introduction and editorial vision brings out several interesting and emerging themes from this collection of papers. I think this volume breaks new ground in highlighting the embeddedness of MNE subsidiaries in multiple contexts, and it will be of considerable interest to scholars engaged with institutional analysis. However, I also believe that researchers interested in regional embeddedness, the geography of innovation, and knowledge management will find new angles to their work in this collected volume. --- Sarianna M. Lundan, University of Bremen, GermanyTable of ContentsContents: 1. Introduction: The Debate on Corporate Embeddedness Martin Heidenreich PART I: CHALLENGES AND VARIETIES OF CORPORATE EMBEDDEDNESS 2. Regional Embeddedness of Multinational Companies and their Limits: A Typology Martin Heidenreich and Jannika Mattes 3. The Multi-home-based Corporation: Solving an Insider–Outsider Dilemma Örjan Sölvell 4. MNCs between the Local and the Global: Knowledge Bases, Proximity and Distributed Knowledge Networks Bjørn T. Asheim, Bernd Ebersberger and Sverre J. Herstad 5. MNCs, Clusters and Varieties of Innovative Impulse Philip Cooke PART II: KNOWLEDGE INFRASTRUCTURES AS EMBEDDING DEVICES 6. Simulating the Role of MNCs for Knowledge and Capital Dynamics in Networks of Innovation Petra Ahrweiler, Michel Schilperoord, Nigel Gilbert and Andreas Pyka 7. Technological Capabilities and the Regional Embeddedness of Multinational Enterprises. A Case Study of Germany and the UK Simona Iammarino, Jan-Philipp Kramer, Elisabetta Marinelli and Javier Revilla Diez 8. The Organizational Decomposition of Innovation and Territorial Knowledge Dynamics: Insights from the German Software Industry Simone Strambach and Benjamin Klement 9. The Impact of Regional Institutional Characteristics on the Location of MNCs – a European Perspective Knut Koschatzky and Elisabeth Baier PART III: THE SOCIAL AND POLITICAL CONSTRUCTION OF CORPORATE EMBEDDEDNESS 10. Modes of Regional Embeddedness: Companies in Seven European Regions Compared Dieter Rehfeld 11. The Pôles de Compétitivité: Regional Innovation Clusters with a French Touch Christoph Barmeyer and Katharina Krüth 12. Multinational Companies and the Production of Collective Goods in Central and Eastern Europe Bob Hancké 13. The Role of Multinational Corporations in the National Innovation Systems of the EU New Member States Rajneesh Narula and José Guimón 14. Conclusion: Corporate Embeddedness as a Strategic and Dynamic Process of Skilled Actors Jannika Mattes and Martin Heidenreich Index
£131.00
Edward Elgar Publishing Ltd Knowledge Management and Intellectual Property
Book SynopsisWith in-depth analysis, this book will appeal to academics and students of STS (Science, Technology and Society), history of science and technology, business history, innovation studies, law, science and technology policy as well as business studies.Trade ReviewArapostathis and Dutfield's rich and well-edited collection offers a cogent challenge to patent-centred views of innovation. Their seventeen authors persuasively show that patenting is just one of a repertoire of tools successfully used to protect innovative work in a broad variety of context-dependent ways. It is essential reading for anyone wanting to learn about past contingencies in the transformation of techno-scientific creativity into wealth.- Graeme Gooday, University of Leeds, UKEssential reading, not just for IP historians and lawyers, but for anyone concerned at the insidious corporate take-over of modern life. It explodes the fallacy that patent systems exist to safeguard inventors' interests: the 20th Century saw inventors become salaried corporate employees, universities adopt a model of academic entrepreneurship, and IPRs create their own, increasingly global, logic. Yet, from Left and Right now arise fundamental ethical questions: isn't intellectual property just legal chicanery; shouldn't knowledge be a universal, public good? --- Christine MacLeod, University of Bristol, UKTable of ContentsContents: Introduction Stathis Arapostathis and Graham Dutfield PART I: INNOVATION CULTURES AND KNOWLEDGE MANAGEMENT 1. ‘Claim the Earth’: Protecting Edison’s Inventions at Home and Abroad Paul Israel 2. Managing Invention: Setting the Boundaries of Ownership Andrea R. Maestrejuan 3. The Photographic Paper that Made Leo Baekeland’s Reputation: Entrepreneurial Incentives for not Patenting Joris Mercelis 4. Software Piracy: Not necessarily Evil – or its Role in Software Development in Greece Theodore Lekkas PART II: INDIVIDUALS, INSTITUTIONS AND THE MANAGEMENT OF INTANGIBLE ASSETS 5. Collective Invention and Patent Law Individualism, 1877–2012 – or, the Curious Persistence of Inventor’s Moral Right Graham Dutfield 6. Something in the Air: The Post Office and Early Wireless, 1882–1899 Elizabeth Bruton 7. Contested Inventors: British Patent Disputes and the Culture of Invention in the Late Nineteenth Century Stathis Arapostathis 8. From Colour TV War to Non-Aggression Pact: Patents as Actants of Techno-political Diplomacy in a European Standardization Process Andreas Fickers PART III: KNOWLEDGE MANAGEMENT AND THE INDUSTRY-STATE-ACADEMIA NEXUS 9. Commerce and Academe: American Universities as Hosts of Entrepreneurial Science, 1880–1920 Susan W. Morris 10. Managing Knowledge in ‘Systematised Plant Breeding’: Mendelism and British Agricultural Science, 1900–1930 Berris Charnley 11. Patenting the Atom: The Controversial Management of State Secrecy and Intellectual Property Rights in Atomic Research Simone Turchetti PART IV: TECHNO-SCIENCES AND GLOBAL IP REGIMES: FROM HISTORY TO PRESENT CONCERNS 12. The International Patent System and the Ethics of Global Justice Henk van den Belt and Michiel Korthals 13. Intellectual Property Rights in the Plant Sciences and Development Goals in Agriculture: An Historical Perspective Niels Louwaars, Bram de Jonge and Peter Munyi 14. Business TRIPS: American Corporations and Patents Head to the Global South, 1950–2010 Eda Kranakis Index
£111.00
John Wiley & Sons Inc Data Mining and Business Analytics with R
Book SynopsisCollecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high-dimensional data sets.Trade Review"I first taught a Ph.D. level course in business applications of data mining 10 years ago. I regularly search the web, looking for business-oriented data mining books, and this is the first one I have found that is suitable for an MS in business analytics. I plan to use it. Anyone who teaches such a class and is inclined toward R should consider this text." (Journal of the American Statistical Association, 1 January 2014)Table of ContentsPreface ix Acknowledgments xi 1. Introduction 1 Reference 6 2. Processing the Information and Getting to Know Your Data 7 2.1 Example 1: 2006 Birth Data 7 2.2 Example 2: Alumni Donations 17 2.3 Example 3: Orange Juice 31 References 39 3. Standard Linear Regression 40 3.1 Estimation in R 43 3.2 Example 1: Fuel Efficiency of Automobiles 43 3.3 Example 2: Toyota Used-Car Prices 47 Appendix 3.A The Effects of Model Overfitting on the Average Mean Square Error of the Regression Prediction 53 References 54 4. Local Polynomial Regression: a Nonparametric Regression Approach 55 4.1 Model Selection 56 4.2 Application to Density Estimation and the Smoothing of Histograms 58 4.3 Extension to the Multiple Regression Model 58 4.4 Examples and Software 58 References 65 5. Importance of Parsimony in Statistical Modeling 67 5.1 How Do We Guard Against False Discovery 67 References 70 6. Penalty-Based Variable Selection in Regression Models with Many Parameters (LASSO) 71 6.1 Example 1: Prostate Cancer 74 6.2 Example 2: Orange Juice 78 References 82 7. Logistic Regression 83 7.1 Building a Linear Model for Binary Response Data 83 7.2 Interpretation of the Regression Coefficients in a Logistic Regression Model 85 7.3 Statistical Inference 85 7.4 Classification of New Cases 86 7.5 Estimation in R 87 7.6 Example 1: Death Penalty Data 87 7.7 Example 2: Delayed Airplanes 92 7.8 Example 3: Loan Acceptance 100 7.9 Example 4: German Credit Data 103 References 107 8. Binary Classification, Probabilities, and Evaluating Classification Performance 108 8.1 Binary Classification 108 8.2 Using Probabilities to Make Decisions 108 8.3 Sensitivity and Specificity 109 8.4 Example: German Credit Data 109 9. Classification Using a Nearest Neighbor Analysis 115 9.1 The k-Nearest Neighbor Algorithm 116 9.2 Example 1: Forensic Glass 117 9.3 Example 2: German Credit Data 122 Reference 125 10. The Na¨ýve Bayesian Analysis: a Model for Predicting a Categorical Response from Mostly Categorical Predictor Variables 126 10.1 Example: Delayed Airplanes 127 Reference 131 11. Multinomial Logistic Regression 132 11.1 Computer Software 134 11.2 Example 1: Forensic Glass 134 11.3 Example 2: Forensic Glass Revisited 141 Appendix 11.A Specification of a Simple Triplet Matrix 147 References 149 12. More on Classification and a Discussion on Discriminant Analysis 150 12.1 Fisher’s Linear Discriminant Function 153 12.2 Example 1: German Credit Data 154 12.3 Example 2: Fisher Iris Data 156 12.4 Example 3: Forensic Glass Data 157 12.5 Example 4: MBA Admission Data 159 Reference 160 13. Decision Trees 161 13.1 Example 1: Prostate Cancer 167 13.2 Example 2: Motorcycle Acceleration 179 13.3 Example 3: Fisher Iris Data Revisited 182 14. Further Discussion on Regression and Classification Trees, Computer Software, and Other Useful Classification Methods 185 14.1 R Packages for Tree Construction 185 14.2 Chi-Square Automatic Interaction Detection (CHAID) 186 14.3 Ensemble Methods: Bagging, Boosting, and Random Forests 188 14.4 Support Vector Machines (SVM) 192 14.5 Neural Networks 192 14.6 The R Package Rattle: A Useful Graphical User Interface for Data Mining 193 References 195 15. Clustering 196 15.1 k-Means Clustering 196 15.2 Another Way to Look at Clustering: Applying the Expectation-Maximization (EM) Algorithm to Mixtures of Normal Distributions 204 15.3 Hierarchical Clustering Procedures 212 References 219 16. Market Basket Analysis: Association Rules and Lift 220 16.1 Example 1: Online Radio 222 16.2 Example 2: Predicting Income 227 References 234 17. Dimension Reduction: Factor Models and Principal Components 235 17.1 Example 1: European Protein Consumption 238 17.2 Example 2: Monthly US Unemployment Rates 243 18. Reducing the Dimension in Regressions with Multicollinear Inputs: Principal Components Regression and Partial Least Squares 247 18.1 Three Examples 249 References 257 19. Text as Data: Text Mining and Sentiment Analysis 258 19.1 Inverse Multinomial Logistic Regression 259 19.2 Example 1: Restaurant Reviews 261 19.3 Example 2: Political Sentiment 266 Appendix 19.A Relationship Between the Gentzkow Shapiro Estimate of “Slant” and Partial Least Squares 268 References 271 20. Network Data 272 20.1 Example 1: Marriage and Power in Fifteenth Century Florence 274 20.2 Example 2: Connections in a Friendship Network 278 References 292 Appendix A: Exercises 293 Exercise 1 294 Exercise 2 294 Exercise 3 296 Exercise 4 298 Exercise 5 299 Exercise 6 300 Exercise 7 301 Appendix B: References 338 Index 341
£98.06
John Wiley & Sons Inc Rapid Instructional Design
Book SynopsisThe classic guide to instructional design, fully updated for the new ways we learn Rapid Instructional Design is the industry standard guide to creating effective instructional materials, providing no-nonsense practicality rather than theory-driven text. Beginning with a look at what instructional design really means, readers are guided step-by-step through the ADDIE model to explore techniques for analysis, design, development, intervention, and evaluation. This new third edition has been updated to cover new applications, technologies, and concepts, and includes many new templates, real-life examples, and additional instructor materials. Instruction delivery has expanded rapidly in the nine years since the second edition''s publication, and this update covers all the major advances in the field. The major instructional models are expanded to apply to e-learning, MOOCs, mobile learning, and social network-based learning. Informal learning and communities of practice Table of ContentsTool List vii Preface for the Third Edition xiii Introduction xv Purpose xv Audiences xvi Special Elements xvii Organization of the Book xix Chapter 1 What Is This Instructional Design Stuff Anyway? 1 Why Instructional Design? 2 What Is Instructional Design? 3 A Few Definitions 5 Advantages of Instructional Design 9 Disadvantages of Instructional Design 13 Chapter 2 Before You Do Anything: Pre-Instructional Design Activities 17 Organizational Needs 18 Performance Assessment 23 Assessing Training Needs 33 Choosing Needs to Address 39 The Needs Assessment Report 42 Quick and Dirty Cost/Benefit Analysis 47 Training Needs Analysis 54 Chapter 3 Do You Know What You Need to Do? Analysis 63 Data-Collection Methods 64 Why Analyze? 73 Types of Analysis 73 Computer-Aided Analysis 102 Chapter 4 How to Do It: Design 107 Make the Right Decision Now 107 Delivery Decision 108 Objectives 128 Design Documents 143 Course Descriptions 161 Gathering Content 162 Adding Structure: The Instructional Plan 168 Trainee Evaluation (Test Questions and Tests) 178 Hints for Designing in Various Formats 196 Chapter 5 Doing It Right: Development 203 End Products of Development 203 The Facilitator Guide as an End Product 205 Scripts and Storyboards 231 Participant Packages and Other Print Materials 235 Other Media 239 Hints for Developing Material 247 Chapter 6 Getting It Where It Does the Most Good: Implementation 263 Beta Tests and Pilots 263 Reviews Revisited 279 Common Implementation Issues 282 Other Instructor-Led Classroom Implementation Needs 287 Hints for Implementation 299 Field Trips 306 Chapter 7 Did It Do Any Good? Evaluation 311 Why Evaluation? 311 The Key to Good Evaluation 312 Types of Evaluation 315 Evaluation of Self-Instruction Programs 334 Revisions: What to Do with What You’ve Learned 338 Hints for Evaluating 344 Chapter 8 Doing It Faster: More Rapid Design Shortcuts 353 Software for Instructional Design 354 Analysis Software 355 Test Development Software 355 Miscellaneous Software 356 Rapid Prototyping 356 Learning Objects/Granular Training 357 Public Courses 358 Off-The-Shelf Programs 358 Technology Vendors 358 Performance Support–Based “Training” 359 Problem-Based Learning (PBL) 361 Training Management Systems/Learning Management Systems (LMS)/Learning Content Management Systems (LCMS) 361 Digital Cameras 362 What Does an ID Do? 362 Miscellaneous 364 Chapter 9 Asynchronous e-Learning Design 367 Definitions 367 Creating and Implementing an e-Learning System 369 Determining a Comprehensive e-Learning Strategy 371 Designing and Developing Good Programs 373 Learning Management Systems and Learning Content Management Systems 374 Preparing the Organization Globally for e-Learning 378 Self-Direction and e-Learning 380 Planning for a Smooth, Successful Implementation 384 Creating an Effective Monitoring and Evaluation Plan 385 Asynchronous e-Learning Design and Development 387 Analysis 387 Material Development 390 Learner Evaluation 397 Learner Interfaces 398 Beta Tests and Pilots 399 Software 400 Repurposing 401 Evaluating Asynchronous e-Learning Programs 403 Summary 403 Chapter 10 Synchronous e-Learning Design 409 Advantages 409 Disadvantages and Misconceptions 410 Design Considerations for Synchronous e-Learning 413 Mini-Interactions 414 Repurposing and Redesigning Synchronous e-Learning Programs 415 Other Synchronous Activities 416 More Detailed Facilitator Guides 419 Learner Guide 422 General Technology Considerations 423 Media 425 Designing Continuing Interactions 430 Audience Analysis 432 Implementation 434 Online Learning: A Special Type of e-Learning 446 What the Learners Say 451 Chapter 11 New Design Applications 453 Flipped Classrooms 453 Mobile Learning 457 Virtual Learning Environments 461 Social Network–Based Learning 463 Massive Open Online Courses (MOOCs) 466 Communities of Practice 468 Informal Learning 469 The Cloud 471 Glossary 475 Suggested Readings 499 Other Resources 511 About the Author 517 Index 519
£49.40
John Wiley & Sons Inc Enhance Oil and Gas Exploration with DataDriven
Book SynopsisLeverage Big Data analytics methodologies to add value to geophysical and petrophysical exploration data Enhance Oil & Gas Exploration with Data-Driven Geophysical and Petrophysical Models demonstrates a new approach to geophysics and petrophysics data analysis using the latest methods drawn from Big Data. Written by two geophysicists with a combined 30 years in the industry, this book shows you how to leverage continually maturing computational intelligence to gain deeper insight from specific exploration data. Case studies illustrate the value propositions of this alternative analytical workflow, and in-depth discussion addresses the many Big Data issues in geophysics and petrophysics. From data collection and context through real-world everyday applications, this book provides an essential resource for anyone involved in oil and gas exploration. Recent and continual advances in machine learning are driving a rapid increase in empirical modeling capabilities. ThisTable of ContentsForeword xv Preface xxi Acknowledgments xxiii Chapter 1 Introduction to Data-Driven Concepts 1 Introduction 2 Current Approaches 2 Is There a Crisis in Geophysical and Petrophysical Analysis? 3 Applying an Analytical Approach 4 What Are Analytics and Data Science? 5 Meanwhile, Back in the Oil Industry 8 How Do I Do Analytics and Data Science? 10 What Are the Constituent Parts of an Upstream Data Science Team? 13 A Data-Driven Study Timeline 15 What Is Data Engineering? 18 A Workflow for Getting Started 19 Is It Induction or Deduction? 30 References 32 Chapter 2 Data-Driven Analytical Methods Used in E&P 34 Introduction 35 Spatial Datasets 36 Temporal Datasets 37 Soft Computing Techniques 39 Data Mining Nomenclature 40 Decision Trees 43 Rules-Based Methods 44 Regression 45 Classification Tasks 45 Ensemble Methodology 48 Partial Least Squares 50 Traditional Neural Networks: The Details 51 Simple Neural Networks 54 Random Forests 59 Gradient Boosting 60 Gradient Descent 60 Factorized Machine Learning 62 Evolutionary Computing and Genetic Algorithms 62 Artificial Intelligence: Machine and Deep Learning 64 References 65 Chapter 3 Advanced Geophysical and Petrophysical Methodologies 68 Introduction 69 Advanced Geophysical Methodologies 69 How Many Clusters? 70 Case Study: North Sea Mature Reservoir Synopsis 72 Case Study: Working with Passive Seismic Data 74 Advanced Petrophysical Methodologies 78 Well Logging and Petrophysical Data Types 78 Data Collection and Data Quality 82 What Does Well Logging Data Tell Us? 84 Stratigraphic Information 86 Integration with Stratigraphic Data 87 Extracting Useful Information from Well Reports 89 Integration with Other Well Information 90 Integration with Other Technical Domains at the Well Level 90 Fundamental Insights 92 Feature Engineering in Well Logs 95 Toward Machine Learning 98 Use Cases 98 Concluding Remarks 99 References 99 Chapter 4 Continuous Monitoring 102 Introduction 103 Continuous Monitoring in the Reservoir 104 Machine Learning Techniques for Temporal Data 105 Spatiotemporal Perspectives 106 Time Series Analysis 107 Advanced Time Series Prediction 108 Production Gap Analysis 112 Digital Signal Processing Theory 117 Hydraulic Fracture Monitoring and Mapping 117 Completions Evaluation 118 Reservoir Monitoring: Real-Time Data Quality 119 Distributed Acoustic Sensing 122 Distributed Temperature Sensing 123 Case Study: Time Series to Optimize Hydraulic Fracture Strategy 129 Reservoir Characterization and Tukey Diagrams 131 References 138 Chapter 5 Seismic Reservoir Characterization 140 Introduction 141 Seismic Reservoir Characterization: Key Parameters 141 Principal Component Analysis 146 Self-Organizing Maps 146 Modular Artificial Neural Networks 147 Wavelet Analysis 148 Wavelet Scalograms 157 Spectral Decomposition 159 First Arrivals 160 Noise Suppression 161 References 171 Chapter 6 Seismic Attribute Analysis 174 Introduction 175 Types of Seismic Attributes 176 Seismic Attribute Workflows 180 SEMMA Process 181 Seismic Facies Classification 183 Seismic Facies Dataset 188 Seismic Facies Study: Preprocessing 189 Hierarchical Clustering 190 k-means Clustering 193 Self-Organizing Maps (SOMs) 194 Normal Mixtures 195 Latent Class Analysis 196 Principal Component Analysis (PCA) 198 Statistical Assessment 200 References 204 Chapter 7 Geostatistics: Integrating Seismic and Petrophysical Data 206 Introduction 207 Data Description 208 Interpretation 210 Estimation 210 The Covariance and the Variogram 211 Case Study: Spatially Predicted Model of Anisotropic Permeability 214 What Is Anisotropy? 214 Analysis with Surface Trend Removal 215 Kriging and Co-kriging 224 Geostatistical Inversion 229 Geophysical Attribute: Acoustic Impedance 230 Petrophysical Properties: Density and Lithology 230 Knowledge Synthesis: Bayesian Maximum Entropy (BME) 231 References 237 Chapter 8 Artificial Intelligence: Machine and Deep Learning 240 Introduction 241 Data Management 243 Machine Learning Methodologies 243 Supervised Learning 244 Unsupervised Learning 245 Semi-Supervised Learning 245 Deep Learning Techniques 247 Semi-Supervised Learning 249 Supervised Learning 250 Unsupervised Learning 250 Deep Neural Network Architectures 251 Deep Forward Neural Network 251 Convolutional Deep Neural Network 253 Recurrent Deep Neural Network 260 Stacked Denoising Autoencoder 262 Seismic Feature Identification Workflow 268 Efficient Pattern Recognition Approach 268 Methods and Technologies: Decomposing Images into Patches 270 Representing Patches with a Dictionary 271 Stacked Autoencoder 272 References 274 Chapter 9 Case Studies: Deep Learning in E&P 276 Introduction 277 Reservoir Characterization 277 Case Study: Seismic Profile Analysis 280 Supervised and Unsupervised Experiments 280 Unsupervised Results 282 Case Study: Estimated Ultimate Recovery 288 Deep Learning for Time Series Modeling 289 Scaling Issues with Large Datasets 292 Conclusions 292 Case Study: Deep Learning Applied to Well Data 293 Introduction 293 Restricted Boltzmann Machines 294 Mathematics 297 Case Study: Geophysical Feature Extraction: Deep Neural Networks 298 CDNN Layer Development 299 Case Study: Well Log Data-Driven Evaluation for Petrophysical Insights 302 Case Study: Functional Data Analysis in Reservoir Management 306 References 312 Glossary 314 About the Authors 320 Index 323
£67.50
John Wiley & Sons Inc Big Data and Differential Privacy
Book SynopsisA comprehensive introduction to the theory and practice of contemporary data science analysis for railway track engineering Featuring a practical introduction to state-of-the-art data analysis for railway track engineering, Big Data and Differential Privacy: Analysis Strategies for Railway Track Engineering addresses common issues with the implementation of big data applications while exploring the limitations, advantages, and disadvantages of more conventional methods. In addition, the book provides a unifying approach to analyzing large volumes of data in railway track engineering using an array of proven methods and software technologies. Dr. Attoh-Okine considers some of today's most notable applications and implementations and highlights when a particular method or algorithm is most appropriate. Throughout, the book presents numerous real-world examples to illustrate the latest railway engineering big data applications of predictive analytics, such aTable of ContentsPreface xi Acknowledgments xiii 1 Introduction 1 1.1 General 1 1.2 Track Components 2 1.3 Characteristics of Railway Track Data 4 1.4 Railway Track Engineering Problems 6 1.5 Wheel–Rail Interface Data 11 1.6 Geometry Data 15 1.7 Track Geometry DegradationModels 20 1.8 Rail Defect Data 25 1.9 Inspection and Detection Systems 33 1.10 Rail Grinding 37 1.11 Traditional Data Analysis Techniques 40 1.12 Remarks 41 References 42 2 Data Analysis – Basic Overview 49 2.1 Introduction 49 2.2 Exploratory Data Analysis (EDA) 49 2.3 Symbolic Data Analysis 53 2.4 Imputation 54 2.5 Bayesian Methods and Big Data Analysis 56 2.6 Remarks 57 References 57 3 Machine Learning: A Basic Overview 59 3.1 Introduction 59 3.2 Supervised Learning 60 3.3 Unsupervised Learning 61 3.4 Semi-Supervised Learning 61 3.5 Reinforcement Learning 61 3.6 Data Integration 63 3.7 Data Science Ontology 63 3.8 Imbalanced Classification 69 3.9 Model Validation 70 3.10 Ensemble Methods 71 3.11 Big P and Small N (P â N) 74 3.12 Deep Learning 79 3.13 Data Stream Processing 95 3.14 Remarks 105 References 105 4 Basic Foundations of Big Data 113 4.1 Introduction 113 4.2 Query 116 4.3 Taxonomy of Big Data Analytics in Railway Track Engineering 123 4.4 Data Engineering 124 4.5 Remarks 130 References 130 5 Hilbert–Huang Transform, Profile, Signal, and Image Analysis 133 5.1 Hilbert–Huang Transform 133 5.2 Axle Box Acceleration 150 5.3 Analysis 151 5.4 Remarks 153 References 153 6 Tensors – Big Data in Multidimensional Settings 157 6.1 Introduction 157 6.2 Notations and Definitions 158 6.3 Tensor Decomposition Models 161 6.4 Application 164 6.5 Remarks 170 References 171 7 Copula Models 175 7.1 Introduction 175 7.2 Pair Copula: Vines 184 7.3 Computational Example 186 7.4 Remarks 192 References 193 8 Topological Data Analysis 197 8.1 Introduction 197 8.2 Basic Ideas 197 8.3 A Simple Railway Track Engineering Application 203 8.4 Remarks 204 References 204 9 Bayesian Analysis 207 9.1 Introduction 207 9.2 Markov Chain Monte Carlo (MCMC) 210 9.3 Approximate Bayesian Computation 210 9.4 Markov Chain Monte Carlo Application 216 9.5 ABC Application 219 9.6 Remarks 221 References 222 10 Basic Bayesian Nonparametrics 225 10.1 General 225 10.2 Dirichlet Family 226 10.3 Dirichlet Process 227 10.4 Finite Mixture Modeling 231 10.5 Bayesian Nonparametric Railway Track 232 10.6 Remarks 233 References 233 11 Basic Metaheuristics 235 11.1 Introduction 235 11.2 Remarks 237 References 239 12 Differential Privacy 241 12.1 General 241 12.2 Differential Privacy 242 12.3 Remarks 247 References 247 Index 249
£101.65
