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  • English  (7)
  • MPI Bildungsforschung  (5)
  • Berlin International  (2)
  • GB Glienicke/Nordbahn
  • SRB Cottbus
  • GB Petershagen
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  • 1
    UID:
    gbv_174485260X
    Format: 1 Online-Ressource (588 p)
    ISBN: 9783110387193
    Series Statement: Deuterocanonical and cognate literature studies Volume 29
    Content: "This volume assembles twenty-three essays by Erich S. Gruen, who has written extensively on the literature and history of early Judaism and the experience of the Jews in the Greco-Roman world. Twenty-two of the articles have previously been published, and one new one was composed for the volume."
    Additional Edition: Erscheint auch als Druck-Ausgabe Gruen, Erich S., 1935 - The construct of identity in Hellenistic Judaism Berlin : De Gruyter, 2016 ISBN 9783110373028
    Additional Edition: ISBN 9783110375565
    Additional Edition: ISBN 3110375567
    Language: English
    Keywords: Griechenland ; Hellenistisch-jüdische Literatur ; Identität ; Electronic books ; Aufsatzsammlung ; Criticism, interpretation, etc. ; History ; Electronic books ; Aufsatzsammlung
    URL: Cover  (Thumbnail cover image)
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (lizenzpflichtig)
    Author information: Gruen, Erich S. 1935-
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Book
    Book
    New York, NY [u.a.] :Plenum Press,
    UID:
    almafu_BV000039018
    Format: XI, 297 S.
    ISBN: 0-306-40685-3
    Language: English
    Subjects: Psychology
    RVK:
    RVK:
    Keywords: Entwicklungspsychologie ; Kognitive Entwicklung ; Sozialisation ; Entwicklung ; Kleinkind ; Erlebnis ; Kinderpsychologie ; Sozialisation ; Kognitive Entwicklung ; Kinderpsychologie
    URL: Cover
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  • 3
    UID:
    b3kat_BV048271084
    Format: 1 Online-Ressource
    Series Statement: World Bank E-Library Archive
    Content: 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
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 4
    UID:
    b3kat_BV048271506
    Format: 1 Online-Ressource
    Series Statement: World Bank E-Library Archive
    Content: 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
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 5
    Online Resource
    Online Resource
    Princeton : Princeton University Press
    UID:
    gbv_1654437077
    Format: 1 Online-Ressource (xiv, 415 Seiten) , Illustrationen
    ISBN: 9781400836550
    Series Statement: Martin Classical Lectures
    Content: Prevalent among classicists today is the notion that Greeks, Romans, and Jews enhanced their own self-perception by contrasting themselves with the so-called Other--Egyptians, Phoenicians, Ethiopians, Gauls, and other foreigners--frequently through hostile stereotypes, distortions, and caricature. In this provocative book, Erich Gruen demonstrates how the ancients found connections rather than contrasts, how they expressed admiration for the achievements and principles of other societies, and how they discerned--and even invented--kinship relations and shared roots with diverse peoples. Gruen shows how the ancients incorporated the traditions of foreign nations, and imagined blood ties and associations with distant cultures through myth, legend, and fictive histories. He looks at a host of creative tales, including those describing the founding of Thebes by the Phoenician Cadmus, Rome's embrace of Trojan and Arcadian origins, and Abraham as ancestor to the Spartans. Gruen gives in-depth readings of major texts by Aeschylus, Herodotus, Xenophon, Plutarch, Julius Caesar, Tacitus, and others, in addition to portions of the Hebrew Bible, revealing how they offer richly nuanced portraits of the alien that go well beyond stereotypes and caricature. Providing extraordinary insight into the ancient world, this controversial book explores how ancient attitudes toward the Other often expressed mutuality and connection, and not simply contrast and alienation.
    Content: Cover -- Half title -- Title -- Copyright -- Dedication -- Contents -- List of Illustrations -- Acknowledgments -- Introduction -- Part I. Impressions of the "Other" -- Chapter One Persia in the Greek Perception: Aeschylus and Herodotus -- Aeschylus' Persae -- Herodotus -- Some Visual Representations -- Chapter Two Persia in the Greek Perception: Xenophon and Alexander -- Xenophon's Cyropaedia -- Alexander and the Persians -- Chapter Three Egypt in the Classical Imagination -- Herodotus -- Diodorus -- Assorted Assessments -- Plutarch -- Chapter Four Punica Fides -- The Hellenic Backdrop -- In the Shadow of the Punic Wars -- The Manipulation of the Image -- The Enhancement of the Image -- Chapter Five Caesar on the Gauls -- Prior Portraits -- The Caesarian Rendering -- Chapter Six Tacitus on the Germans -- Germans and Romans -- Interpretatio Romana? -- Chapter Seven Tacitus and the Defamation of the Jews -- The Question -- Tacitean Irony -- Chapter Eight People of Color -- Textual Images -- Visual Images -- Part II. Connections with the "Other" -- Chapter Nine Foundation Legends -- Foundation Tales as Cultural Thievery -- Pelops -- Danaus -- Cadmus -- Athenians and Pelasgians -- Rome, Troy, and Arcadia -- Israel's Fictive Founders -- Chapter Ten Fictitious Kinships: Greeks and Others -- Perseus as Multiculturalist -- Athens and Egypt -- The Legend of Nectanebos -- Numidians and the Near East -- Chapter Eleven Fictitious Kinships: Jews and Others -- The Separatist Impression -- The Bible's Other Side -- Ishmaelites and Arabs -- Jews and Greeks as Kinsmen -- Chapter Twelve Cultural Interlockings and Overlappings -- Jews and Greeks as Philosophers -- Jewish Presentations of Gentiles -- Phoenicians and Greeks -- Roman Adaptation and Appropriation -- Conclusion -- Bibliography -- Index of Citations -- Subject Index.
    Note: Includes bibliographical references and indexes
    Additional Edition: ISBN 9780691148526
    Additional Edition: ISBN 9780691156354
    Additional Edition: Erscheint auch als Druck-Ausgabe Gruen, Erich S., 1935 - Rethinking the other in antiquity Princeton, NJ [u.a.] : Princeton Univ. Press, 2011 ISBN 9780691148526
    Additional Edition: ISBN 069114852X
    Additional Edition: ISBN 9780691148526
    Language: English
    Subjects: History
    RVK:
    RVK:
    RVK:
    RVK:
    Keywords: Römisches Reich ; Kulturkonflikt ; Fremder ; Griechenland ; Römisches Reich ; Fremder ; Kulturkonflikt ; Römer ; Fremder ; Geschichte
    Author information: Gruen, Erich S. 1935-
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  • 6
    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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  • 7
    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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