03571nam 2200625 a 450 991045181530332120200520144314.01-58901-232-11-4356-2752-0(CKB)1000000000482888(EBL)547775(OCoLC)646788668(SSID)ssj0000099725(PQKBManifestationID)11113205(PQKBTitleCode)TC0000099725(PQKBWorkID)10017442(PQKB)10652604(MiAaPQ)EBC547775(OCoLC)191734189(MdBmJHUP)muse15232(Au-PeEL)EBL547775(CaPaEBR)ebr10236755(EXLCZ)99100000000048288820060920d2007 uy 0engur|n|---|||||txtccrAfrican American bioethics[electronic resource] culture, race, and identity /Lawrence J. Prograis, Jr., Edmund D. Pellegrino, editorsWashington, D.C. Georgetown University Pressc20071 online resource (192 p.)"Conference titled 'Symposium on African American Perspectives in Bioethics and Second Annual Conference on Health Disparities,' held on September 23-24, 2004, at Georgetown University"--P. viii.1-58901-164-3 Includes bibliographical references and index.Revisiting African American perspectives on biomedical ethics : distinctiveness and other questions / Jorge L.A. Garcia -- The moral weight of culture in ethics / Segun Gbadegesin -- Whitewashing black health : lies, deceptions, assumptions, and assertions : and the disparities continue / Annette Dula -- Race, equity, health policy, and the African-American community / Patricia A. King -- Religion and ethical decision making in the African American community : bioterrorism and the Black postal workers / Cheryl J. Sanders -- Personal narrative and an African American perspective on medical ethics / Ezra E.H. Griffith -- Does an African American perspective alter clinical ethical decision making at the bedside? / Reginald L. Peniston -- Race, genetics, and ethics / Kevin FitzGerald and Charmaine Royal.Do people of differing ethnicities, cultures, and races view medicine and bioethics differently? And, if they do, should they? Are doctors and researchers taking environmental perspectives into account when dealing with patients? If so, is it done effectively and properly? In African American Bioethics, Lawrence J. Prograis Jr. and Edmund D. Pellegrino bring together medical practitioners, researchers, and theorists to assess one fundamental question: Is there a distinctive African American bioethics? The book's contributors resoundingly answer yesùyet their responses vary. They discuss the coMedical ethicsCongressesAfrican American philosophyCongressesHealth services accessibilityUnited StatesCongressesElectronic books.Medical ethicsAfrican American philosophyHealth services accessibility174/.957Prograis Lawrence991079Pellegrino Edmund D.1920-322989Conference on Health Disparities(2nd :2004 :Georgetown University)MiAaPQMiAaPQMiAaPQBOOK9910451815303321African American bioethics2267951UNINA04995nam 2200613 450 991013233700332120230803203249.01-118-91976-91-118-91978-5(CKB)3710000000134373(EBL)1715408(OCoLC)877564696(OCoLC)884594220(MiAaPQ)EBC1715408(EXLCZ)99371000000013437320140701h20142014 uy 0engur|n|---|||||rdacontentrdamediardacarrierAnalytics and dynamic customer strategy big profits from big data /John F. Tanner, JrHoboken, New Jersey :Wiley,20141 recurso electrónico (256 páginas) ilustracionesDescription based upon print version of record.1-306-89292-9 1-118-90573-3 Includes bibliographical references and index.Cover; Title Page; Copyright; Contents; Foreword; Preface; Acknowledgments; Part One Big Data and Dynamic Customer Strategy; Chapter 1 Big Strategy for Big Data; Beyond the Hype; The Value of Accelerated Learning; Introducing Dynamic Customer Strategy; DCS Complements Design School; Barriers to Big Data and DCS; Summary; Notes; Chapter 2 Mapping Dynamic Customer Strategy; Theory as Strategy; Concepts; Relationships; Establishing Causality through Control; Conditions; Making the Model Operational; Target''s Behavioral Loyalty Model; Simple versus Complex Models; Summary; NotesChapter 3 Operationalizing StrategyConceptual to Operational; Operational Definitions; From Strategy to Action; Microsoft''s DCS and Fail-Fast Mentality; Experiments and Decisions; Managing Decision Risk; Using Big Data Effectively; Summary; Notes; Part Two Big Data Strategy; Chapter 4 Creating a Big Data Strategy; Avoiding Data Traps; An Airline Falls into a Data Trap; Creating the Data Strategy; Summary; Notes; Chapter 5 Big Data Acquisition; Measurement Quality; The Truth and Big Data; Acquiring Big Data; Making Good Choices; The Special Challenge of Salespeople; Summary; NotesChapter 6 Streaming InsightThe Model Cycle; Applications of Statistical Models; Types of Data-Types of Analytics; Matching Data to Models; Summary; Chapter 7 Turning Models into Customers; Mac''s Avoids Mindless Discounting; Decision Mapping; Conversations and Big Data; Cascading Campaigns; Cascading Campaigns Accelerate Learning; Accelerating the Process with Multifactorial Experimental Design; Summary; Notes; Chapter 8 Big Data and Lots of Marketing Buzzwords; Customer Experience Management; Value and Performance; Performance, Value, and Propensity to Relate; ResponsivenessCitibank MasterCard Responds at Market LevelTransparency; Community; Cabela''s Journey to Customer Experience; Summary; Notes; Chapter 9 Big Data Metrics for Big Performance; The Big Data of Metrics; Variation and Performance; Creating a Tolerance Range; Visualization; Creating the Right Metrics; Summary; Notes; Part Three Big Data Culture; Chapter 10 The Near-Simultaneous Adoption of Multiple Innovations; Building Absorptive Capacity; People, Process, and Tools; Managing the Change; Empowering Your Entrepreneurs; Konica-Minolta''s Awesome Results; One Result: Customer Knowledge CompetenceGlobal ImplementationNotes; Summary; Notes; Chapter 11 Leading (in) the Dynamic Customer Culture; Leadership, Big Data, and Dynamic Customer Strategy; Leadership and Culture; Movements; Exploiting Strategic Experimentation; Big Data, Big Decisions, Big Results; Afterword; Additional Readings; About the Author; Index; EULAKey decisions determine the success of big data strategy Dynamic Customer Strategy: Big Profits from Big Data is a comprehensive guide to exploiting big data for both business-to-consumer and business-to-business marketing. This complete guide provides a process for rigorous decision making in navigating the data-driven industry shift, informing marketing practice, and aiding businesses in early adoption. Using data from a five-year study to illustrate important concepts and scenarios along the way, the author speaks directly to marketing and operations professionals who may not necessarily beBig dataRelaciones con los clientesLOCALMarketing relacionalLOCALDatos masivosLOCALLibros electrónicosLOCALBig data.Relaciones con los clientesMarketing relacionalDatos masivosLibros electrónicos658.8658.834Tanner John F.24701MiAaPQMiAaPQMiAaPQBOOK9910132337003321Analytics and dynamic customer strategy1944913UNINA