Kooperativer Bibliotheksverbund

UID:

Format: 38 S. , überwiegend Ill.

ISBN: 3784507018

Series Statement: Langewiesche-Bücherei

Note: Text dt., engl., franz. - PST: Le retable d'Issenheim*The Isenheim altar-piece

Language: English

Subjects: Art History

Keywords: Grünewald, Matthias 1480-1528 Isenheimer Altar ; Dia ; Grünewald, Matthias 1480-1528

Author information: Grünewald, Matthias 1480-1528

Author information: Bauch, Kurt 1897-1975

UID:

Format: 35 S. , Ill.

Language: English

Keywords: Ikonographie ; Schlangen ; Geschichte 1500-1600 ; Baldung Grien, Hans 1484-1545

Author information: Baldung Grien, Hans 1484-1545

UID:

Format: 187 Seiten , Illustrationen , 15 cm

Edition: First edition

ISBN: 9781916041288 , 1916041280

Series Statement: SPBH Essays no. 4

Content: "Cofounded in 2017 by authors Claudia Rankine and Beth Loffreda, the Racial Imaginary Institute (TRII) is an interdisciplinary collective of artists, writers, knowledge-producers and activists. The institute's historic 2018 symposium 'On Whiteness' convened a dazzling array of thinkers, artists and activists. The essays that resulted from the event, collected here, seek to examine whiteness as a source of often unquestioned or even unobserved power, and make visible variations of this dangerous ideology that has been intentionally positioned as neutral. In our current moment, whiteness is freshly articulated: as a source of unquestioned power, and as a 'bloc', it feels itself endangered even as it retains its hold on power. Given that the concept of racial hierarchy is a strategy employed to support white dominance, whiteness is an important aspect of any conversation about race. The essays in On Whiteness make visible what has been intentionally presented as inevitable to help the move forward into more revelatory conversations about race. They question what can be made when we investigate, evade, beset and call out 'bloc whiteness.'"--

Content: "The exhibition portion of On Whiteness aims to take advantage of art's powerful ability to reframe dominant ways of seeing, especially with regard to philosopher Sara Ahmed's postulation of whiteness as a 'habit,' whose power to form and sustain specific social behaviors and institutions resides in its being taken entirely for granted. As Ahmed proposes: 'Whiteness is what bodies do, where the body takes shape of the action ... spaces are oriented 'around' whiteness, insofar as whiteness is not seen.' By disorienting the particularly habituated space of the white cube gallery, the work in this exhibition questions, marks, and checks whiteness, challenging its dominance as it operates through default positions in cultural behavior."--

Note: Papers from a symposium co-organized by The Racial Imaginary Institute and The Kitchen, held at The Kitchen in Manhattan, June 30, 2018 , Whiteness and race temperament , Against a sharp white background : culture, coalition, and the zero-sum game of managed diversity , The diversity bargain : Asian Americans, whiteness, and justice , The case for museum reparations , Poetry, labor, immigration and state violence , The Internet : white rhetoric, black criticism , Whiteness and race temperament , A diagnostic of whiteness : the empathy conundrum , White likability, white humorlessness , White empathy : a technology of white supremacy , White guilt and reparation , Empathy beyond whiteness , Near a church at dusk

Language: English

Keywords: Weißsein ; Konferenzschrift

Author information: Chin, Mel 1951-

UID:

Format: 1 Videokassette (60 Min.) , s/w

Series Statement: Billy Wilder

Note: Fernsehmitschnitt: , Amerikan. mit franz. Untertiteln

Language: English

Keywords: Wilder, Billy 1906-2002

Author information: Wilder, Billy 1906-2002

UID:

Format: 1 Schallplatte , 1 Beilage , 30 cm

Note: Program notes on container; texts ([4] p.)--inserted , Chamber music: Strings in the earth and air ; O, it was out by Donnycarney ; Bid adieu ; My love is in a light attire ; Love came to us ; Go seek her out / Citkowitz (1st 3 songs) ; Barab (last 3 songs) -- Pomes pennyeach: Watching the needleboats at San Sabba ; Alone ; Bahnhofstrasse / Gruen -- Finnegan's wake: Anna Livia Plurabelle / Buchbinder -- Finnegan's wake: Nuvoletta / Barber -- Six commentaries: Introduction ; Testament ; Waltz of the hours ; Eglogue ; Coo-coo ; Night at Gibralter [sic] / de Hartmann , In englisch gesungen

Language: English

Keywords: Schallplatte

Author information: Joyce, James 1882-1941

UID:

Format: 1 electronic resource (xxi, 324 pages) : , illustrations.

ISBN: 9789811088179 , 9811088179 , 9789811342486 , 9811342482 , 9789811088186 , 9811088187

Series Statement: Management for professionals,

Content: MACHINE-GENERATED SUMMARY NOTE: "This open access book offers something for everyone working with market segmentation: practical guidance for users of market segmentation solutions; organisational guidance on implementation issues; guidance for market researchers in charge of collecting suitable data; and guidance for data analysts with respect to the technical and statistical aspects of market segmentation analysis. Even market segmentation experts will find something new, including an approach to exploring data structure and choosing a suitable number of market segments, and a vast array of useful visualisation techniques that make interpretation of market segments and selection of target segments easier. The book talks the reader through every single step, every single potential pitfall, and every single decision that needs to be made to ensure market segmentation analysis is conducted as well as possible. All calculations are accompanied not only with a detailed explanation, but also with R code that allows readers to replicate any aspect of what is being covered in the book using R, the open-source environment for statistical computing and graphics."

Note: MACHINE-GENERATED CONTENTS NOTE: Part I. Introduction.- Chapter 1. Market segmentation.- Chapter 2. Market segmentation analysis.- Part II. Ten steps of market segmentation analysis.- Chapter 3. STEP 1: Deciding (not) to segment.- Chapter 4. STEP 2: Specifying the ideal target segment.- Chapter 5. STEP 3: Collecting data.- Chapter 6. STEP 4: Exploring data.- Chapter 7. STEP 5: Extracting segments.- Chapter 8. STEP 6: Profiling segments.- Chapter 9. STEP 7: Describing segments.- Chapter 10. STEP 8: Selecting (the) target segment(s).- Chapter 11. STEP 9: Customising the marketing mix.- Chapter 12. STEP 10: Evaluation and monitoring.

Language: English

Keywords: Handbooks and manuals

URL: FULL

UID:

Format: 1 online resource (332 pages)

Edition: 1st ed.

ISBN: 9789811088186

Series Statement: Management for Professionals Series

Note: Intro -- Preface -- References -- Contents -- List of Figures -- List of Tables -- Part I Introduction -- 1 Market Segmentation -- 1.1 Strategic and Tactical Marketing -- 1.2 Definitions of Market Segmentation -- 1.3 The Benefits of Market Segmentation -- 1.4 The Costs of Market Segmentation -- References -- 2 Market Segmentation Analysis -- 2.1 The Layers of Market Segmentation Analysis -- 2.2 Approaches to Market Segmentation Analysis -- 2.2.1 Based on Organisational Constraints -- 2.2.2 Based on the Choice of (the) SegmentationVariable(s) -- 2.3 Data Structure and Data-Driven Market Segmentation Approaches -- 2.4 Market Segmentation Analysis Step-by-Step -- References -- Part II Ten Steps of Market Segmentation Analysis -- 3 Step 1: Deciding (not) to Segment -- 3.1 Implications of Committing to Market Segmentation -- 3.2 Implementation Barriers -- 3.3 Step 1 Checklist -- References -- 4 Step 2: Specifying the Ideal Target Segment -- 4.1 Segment Evaluation Criteria -- 4.2 Knock-Out Criteria -- 4.3 Attractiveness Criteria -- 4.4 Implementing a Structured Process -- 4.5 Step 2 Checklist -- References -- 5 Step 3: Collecting Data -- 5.1 Segmentation Variables -- 5.2 Segmentation Criteria -- 5.2.1 Geographic Segmentation -- 5.2.2 Socio-Demographic Segmentation -- 5.2.3 Psychographic Segmentation -- 5.2.4 Behavioural Segmentation -- 5.3 Data from Survey Studies -- 5.3.1 Choice of Variables -- 5.3.2 Response Options -- 5.3.3 Response Styles -- 5.3.4 Sample Size -- 5.4 Data from Internal Sources -- 5.5 Data from Experimental Studies -- 5.6 Step 3 Checklist -- References -- 6 Step 4: Exploring Data -- 6.1 A First Glimpse at the Data -- 6.2 Data Cleaning -- 6.3 Descriptive Analysis -- 6.4 Pre-Processing -- 6.4.1 Categorical Variables -- 6.4.2 Numeric Variables -- 6.5 Principal Components Analysis -- 6.6 Step 4 Checklist -- References , 7 Step 5: Extracting Segments -- 7.1 Grouping Consumers -- 7.2 Distance-Based Methods -- 7.2.1 Distance Measures -- 7.2.2 Hierarchical Methods -- Example: Tourist Risk Taking -- 7.2.3 Partitioning Methods -- 7.2.3.1 k-Means and k-Centroid Clustering -- 7.2.3.2 ``Improved'' k-Means -- 7.2.3.3 Hard Competitive Learning -- 7.2.3.4 Neural Gas and Topology Representing Networks -- 7.2.3.5 Self-Organising Maps -- 7.2.3.6 Neural Networks -- 7.2.4 Hybrid Approaches -- 7.2.4.1 Two-Step Clustering -- 7.2.4.2 Bagged Clustering -- 7.3 Model-Based Methods -- 7.3.1 Finite Mixtures of Distributions -- 7.3.1.1 Normal Distributions -- 7.3.1.2 Binary Distributions -- 7.3.2 Finite Mixtures of Regressions -- Example: Australian Travel Motives -- 7.3.3 Extensions and Variations -- 7.4 Algorithms with Integrated Variable Selection -- 7.4.1 Biclustering Algorithms -- Example: Australian Vacation Activities -- 7.4.2 Variable Selection Procedure for Clustering BinaryData (VSBD) -- Example: Australian Travel Motives -- 7.4.3 Variable Reduction: Factor-Cluster Analysis -- 7.5 Data Structure Analysis -- 7.5.1 Cluster Indices -- 7.5.1.1 Internal Cluster Indices -- 7.5.1.2 External Cluster Indices -- 7.5.2 Gorge Plots -- 7.5.3 Global Stability Analysis -- Example: Tourist Risk Taking -- 7.5.4 Segment Level Stability Analysis -- 7.5.4.1 Segment Level Stability Within Solutions -- 7.5.4.2 Segment Level Stability Across Solutions -- 7.6 Step 5 Checklist -- References -- 8 Step 6: Profiling Segments -- 8.1 Identifying Key Characteristics of Market Segments -- 8.2 Traditional Approaches to Profiling Market Segments -- 8.3 Segment Profiling with Visualisations -- 8.3.1 Identifying Defining Characteristics of MarketSegments -- 8.3.2 Assessing Segment Separation -- 8.4 Step 6 Checklist -- References -- 9 Step 7: Describing Segments -- 9.1 Developing a Complete Picture of Market Segments , 9.2 Using Visualisations to Describe Market Segments -- 9.2.1 Nominal and Ordinal Descriptor Variables -- 9.2.2 Metric Descriptor Variables -- 9.3 Testing for Segment Differences in Descriptor Variables -- 9.4 Predicting Segments from Descriptor Variables -- 9.4.1 Binary Logistic Regression -- 9.4.2 Multinomial Logistic Regression -- 9.4.3 Tree-Based Methods -- 9.5 Step 7 Checklist -- References -- 10 Step 8: Selecting (the) Target Segment(s) -- 10.1 The Targeting Decision -- 10.2 Market Segment Evaluation -- 10.3 Step 8 Checklist -- References -- 11 Step 9: Customising the Marketing Mix -- 11.1 Implications for Marketing Mix Decisions -- 11.2 Product -- 11.3 Price -- 11.4 Place -- 11.5 Promotion -- 11.6 Step 9 Checklist -- References -- 12 Step 10: Evaluation and Monitoring -- 12.1 Ongoing Tasks in Market Segmentation -- 12.2 Evaluating the Success of the Segmentation Strategy -- 12.3 Stability of Segment Membership and Segment Hopping -- 12.4 Segment Evolution -- Example: Winter Vacation Activities -- 12.5 Step 10 Checklist -- References -- A Case Study: Fast Food -- A.1 Step 1: Deciding (not) to Segment -- A.2 Step 2: Specifying the Ideal Target Segment -- A.3 Step 3: Collecting Data -- A.4 Step 4: Exploring Data -- A.5 Step 5: Extracting Segments -- A.5.1 Using k-Means -- A.5.2 Using Mixtures of Distributions -- A.5.3 Using Mixtures of Regression Models -- A.6 Step 6: Profiling Segments -- A.7 Step 7: Describing Segments -- A.8 Step 8: Selecting (the) Target Segment(s) -- A.9 Step 9: Customising the Marketing Mix -- A.10 Step 10: Evaluation and Monitoring -- B R and R Packages -- B.1 What Is R? -- B.1.1 A Short History of R -- B.1.2 R Packages -- B.1.3 Quality Control -- B.1.4 User Interfaces for R -- B.2 R Packages Used in the Book -- B.2.1 MSA -- B.2.2 flexclust -- B.2.3 flexmix -- B.2.4 Other Packages -- C Data Sets Used in the Book , C.1 Tourist Risk Taking -- C.2 Winter Vacation Activities -- C.3 Australian Vacation Activities -- C.4 Australian Travel Motives -- C.5 Fast Food -- Glossary -- References -- Index

Additional Edition: Print version Dolnicar, Sara Market Segmentation Analysis Singapore : Springer Singapore Pte. Limited,c2018 ISBN 9789811088179

Language: English

Keywords: Electronic books

URL: Full-text  ((OIS Credentials Required))