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  • Zentrum f. Militärgeschichte  (8)
  • Kinemathek  (4)
  • Berlin International  (3)
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  • 11
    UID:
    kobvindex_INT0004401
    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
    Library Location Call Number Volume/Issue/Year Availability
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  • 12
    Online Resource
    Online Resource
    Singapore : Springer Singapore Pte. Limited
    UID:
    kobvindex_INTEBC5471159
    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))
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  • 13
    UID:
    gbv_1846634938
    Format: XVI, 206 S., Ill
    Language: Undetermined
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  • 14
    Book
    Book
    München : Deutscher Taschenbuch-Verlag (München)
    UID:
    kobvindex_ZMS03507273
    Format: 125 Seiten
    Edition: Ungek. Ausg.
    ISBN: 3423341289
    Series Statement: dtv 34128
    Content: Was empfinden Menschen, die sich nur dann lebendig fühlen, wenn sie gewalttätig sind? Wie ist es zu verstehen, daß gerade Menschen anderen gegenüber pathologisch gehorsam sind, obwohl sie von ihnen zutiefst traumatisiert oder verletzt wurden? Täter und Opfer halten die gefährlichste Symbiose aufrecht, ein ganzes Leben lang nacheinander zu suchen. Der linke und rechte Extremismus, die Gewalt in ihren verstecktesten Formen und der offene Terror gegen andere und sich selbst: das sind die Endpunkte der Zerstörungsspirale, die sich scheinbar naturnotwendig dreht. Kann sie nicht angehalten werden? Was ist zu tun? Arno Gruen plädiert für Kultur der inneren Autonomie, die sich nicht als Stärke inszeniert oder Überlegenheit vorgibt. Autonomie ist Übereinstimmung mit den eigenen Gefühlen und Bedürfnissen. Die Verteidigung gegen den Terror, das Führen von Kriegen ist teurer als alle Investitionen in das Leben. Nur so lassen sich demokratische Gesellschaften retten.
    Language: German
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  • 15
    Book
    Book
    Stuttgart : Klett
    UID:
    kobvindex_ZMS08132355
    Format: 126 Seiten
    Edition: 2. Aufl.
    ISBN: 9783608944433
    Content: Was ist lächerlich an der Vorstellung einer Welt ohne Gewalt? Warum wird der Traum von einem friedlichen Zusammenleben als kindliche Illusion abgetan, für Frieden demonstrierende Jugendliche sogar belächelt? Arno Gruen antwortet: Weil die Kraft der Träume die Anpassung an die angebliche Realität gefährdet. Menschen werden genau dann zu Eroberern und Kriegstreibern, wenn sie Gewalt mit Lebendigkeit verwechseln. Solange diese Illusion funktioniert, wird Größenwahn für Stärke gehalten.Gerade junge Menschen sind noch in der Lage, Ungerechtigkeit und Benachteiligung zu erkennen, weil sie noch mit den Opfern mitfühlen. Doch angesichts nicht endender Kriege fragen sich viele Menschen, ob es heute überhaupt noch richtig ist, Kinder in die Welt zu setzen.Arno Gruen engagiert sich in diesem aufrüttelnden Manifest mit Nachdruck für die Kraft der Träume. Denn der feste Glaube an das Gute in der Welt ist folgenreicher und lebendiger als politische Ideologien. Es ist sein Appell an die kommenden Generationen, sich die Kraft für den Frieden zu bewahren, und macht Mut, dafür einzutreten. (AUT)
    Language: German
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