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UID:

Umfang: 1 Online-Ressource

ISBN: 9789811088186

Serie: Management for professionals

Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-981-10-8817-9

Sprache: Englisch

Fachgebiete: Wirtschaftswissenschaften

Schlagwort(e): Marktsegmentierung ; Marktanalyse

DOI: 10.1007/978-981-10-8818-6

URL: Volltext  (kostenfrei)

URL: Volltext  (kostenfrei)

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Umfang: XIV, 574 Seiten ; , 23 cm x 15.5 cm.

ISBN: 978-3-11-037302-8 , 978-3-11-060944-8

Serie: Deuterocanonical and cognate literature studies volume 29

Weitere Ausg.: Erscheint auch als Online-Ausgabe, PDF ISBN 978-3-11-037555-8 10.1515/9783110375558

Weitere Ausg.: Erscheint auch als Online-Ausgabe, EPUB ISBN 978-3-11-038719-3 10.1515/9783110375558

Sprache: Englisch

Fachgebiete: Theologie/Religionswissenschaften

Schlagwort(e): Juden ; Judentum ; Identität ; Hellenistisch-jüdische Literatur ; Frühjudentum ; Literatur ; Aufsatzsammlung

URL: Volltext  (kostenfrei)

URL: Volltext  (kostenfrei)

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URL: Inhaltsverzeichnis

Mehr zum Autor: Gruen, Erich S., 1935-,

UID:

Umfang: 1 Online-Ressource

Serie: World Bank E-Library Archive

Inhalt: This paper introduces a new Job Quality Index that measures the quality of jobs in Turkey over the last decade. While the main focus is on wage employment - which in 2016 accounts for nearly 73 percent of all workers - the paper also discusses job quality of the self-employed and unpaid family workers. Based on a comprehensive definition of what constitutes a good job, the index consists of 6 dimensions covering aspects such as adherence to Labor Law regulations, working conditions, adequate linkage between wage and job, productive usage and adaptability of skills, career opportunities and employment resilience. The quality of wage employment improved at the aggregate level from 2009 until 2016; with sharper improvements in job quality between 2009 and 2012. Improvements are largely the result of compositional changes toward more formal sector wage jobs; yet the distribution of job quality remains widespread, across economic sectors, occupational categories and geographic locations. The paper delves deep into each dimension of a good job and highlights the main drivers of good (and bad) jobs in Turkey and identifies the types of reforms that are needed to enable workers to benefit from increasing growth while adapting to changing labor market conditions. Lastly, the findings from this paper show that by measuring job quality policymakers can identify what jobs should be incentivized to ensure that job growth is accompanied by job quality

Sprache: Englisch

DOI: 10.1596/29189

URL: Volltext  (URL des Erstveröffentlichers)

URL: Deutschlandweit zugänglich

UID:

Umfang: 1 Online-Ressource

Serie: World Bank E-Library Archive

Inhalt: Georgia's reforms over the last two decades have paved the way for the country's economic transformation by the creation of better jobs and substantial poverty reduction. Despite these positive developments, some important structural challenges persist in relation to jobs. Growth has not created sufficient jobs in Georgia, especially not enough inclusive and high-productivity jobs. This report analyses the main economic forces driving job creation in Georgia, and attempts to answer four questions. First, Chapter 1 investigates whether the enabling environment is conducive to good job outcomes? Second, Chapter 2 investigates how formal sector job creators doing? Third, Chapter 3 investigates how does the Georgian workforce measure up to the needs of employers? Finally, Chapter 4 recommends a set of policy options that can improve jobs outcomes

Sprache: Englisch

DOI: 10.1596/29955

URL: Volltext  (URL des Erstveröffentlichers)

URL: Deutschlandweit zugänglich

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Umfang: 1 Online-Ressource (XIII, 548 p. 253 illus., 29 illus. in color)

Ausgabe: 1st ed. 2023

ISBN: 9783030874476

Serie: Springer Series in Computational Neuroscience

Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-87446-9

Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-87448-3

Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-87449-0

Sprache: Englisch

DOI: 10.1007/978-3-030-87447-6

URL: Volltext  (URL des Erstveröffentlichers)

UID:

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

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

Serie: Management for professionals,

Inhalt: 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."

Anmerkung: 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.

Sprache: Englisch

Schlagwort(e): Handbooks and manuals

URL: FULL

UID:

Umfang: 1 online resource (332 pages)

Ausgabe: 1st ed.

ISBN: 9789811088186

Serie: Management for Professionals Series

Anmerkung: 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

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

Sprache: Englisch

Schlagwort(e): Electronic books

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