Creating Insights in Large Markets:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
Hamburg
Verlag Dr. Kovač
2017
|
| Schriftenreihe: | Electronic Commerce, Marketing & Finance
9 |
| Schlagworte: | |
| Online-Zugang: | Ausführliche Beschreibung Inhaltsverzeichnis |
| Beschreibung: | XVI, 207 Seiten 22 Illustrationen, 13 Illustrationen 21 cm x 14.8 cm, 300 g |
| ISBN: | 9783830095361 3830095368 |
Internformat
MARC
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| 245 | 1 | 0 | |a Creating Insights in Large Markets |c Daniel M. Ringel |
| 264 | 1 | |a Hamburg |b Verlag Dr. Kovač |c 2017 | |
| 300 | |a XVI, 207 Seiten |b 22 Illustrationen, 13 Illustrationen |c 21 cm x 14.8 cm, 300 g | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 1 | |a Electronic Commerce, Marketing & Finance |v 9 | |
| 502 | |b Dissertation |c Johann Wolfgang Goethe-Universität zu Frankfurt am Main |d 2017 | ||
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| 650 | 0 | 7 | |a Konkurrenzanalyse |0 (DE-588)4165039-6 |2 gnd |9 rswk-swf |
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| 650 | 0 | 7 | |a Marketinginformationssystem |0 (DE-588)4140243-1 |2 gnd |9 rswk-swf |
| 653 | |a Marketing | ||
| 653 | |a Big Data | ||
| 653 | |a Cannibalization | ||
| 653 | |a Online Consumer Search | ||
| 653 | |a Overlapping Clustering | ||
| 653 | |a Viasualization and Mapping | ||
| 653 | |a Asymmetric Competition | ||
| 653 | |a Competitive Market Structure | ||
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Datensatz im Suchindex
| _version_ | 1804178702958854144 |
|---|---|
| adam_text | TABLE OF CONTENTS
EDITOR*S
PREFACE.................................................................................................VII
PREFACE AND ACKNOWLEDGEMENTS
.......................................................................
IX
LIST OF
FIGURES..................................................................................................
XIII
LIST OF
TABLES......................................................................................................
XV
1
SYNOPSIS............................................................................................................
1
1.1
MOTIVATION....................................................................................................1
1.2 RESEARCH
OBJECTIVES....................................................................................
6
1.3 RESEARCH
APPROACH.....................................................................................
6
1.4 DISSERTATION
STRUCTURE.................................................................................
8
1.5 PAPER SUMMARIES
......................................................................................
12
1.6
CONCLUSION................................................................................................
24
1.7
REFERENCES.................................................................................................26
2 UNDERSTANDING COMPETITION USING BIG CONSUMER SEARCH DATA
.............
33
2.1 INTRODUCTION
...............................................................................................
34
2.2 RELATED LITERATURE
....................................................................................
36
2.3
METHODOLOGY.............................................................................................38
2.4 EMPIRICAL STUDY
.......................................................................................
44
2.5
CONCLUSION................................................................................................50
2.6
REFERENCES.................................................................................................52
3 VISUALIZING ASYMMETRIC COMPETITION AMONG MORE THAN 1,000 PRODUCTS
USING BIG SEARCH
DATA..................................................................................55
3.1
INTRODUCTION...............................................................................................56
3.2 PREVIOUS APPROACHES
...............................................................................
57
3.3 ANALYSIS OF THE NEED FOR BIG
DATA........................................................... 62
3.4 DESCRIPTION OF OUR
APPROACH....................................................................
65
3.5 PRICE-COMPARISON SITE D ATA
....................................................................
78
3.6 EXTERNAL VALIDATION OF BIG SEARCH
DATA...................................................81
3.7 EMPIRICAL APPLICATION OF OUR
APPROACH...................................................84
3.8 SUMMARY AND
CONCLUSIONS.......................................................................
99
3.9
REFERENCES...............................................................................................
101
3.10
APPENDIX.................................................................................................
107
4 MULTI-MARKET MEMBERSHIP MAPPING
......................................................
113
4.1
INTRODUCTION.............................................................................................114
4.2 BASIC IDEA OF THIS
STUDY..........................................................................115
4.3 MODEL
DESCRIPTION..................................................................................
125
4.4 EMPIRICAL
STUDY......................................................................................
141
4.5 MANAGERIAL
IMPLICATIONS.........................................................................151
4.6
CONCLUSION..............................................................................................
153
4.7
REFERENCES...............................................................................................
156
4.8
APPENDIX.................................................................................................
164
5 A NEW APPROACH TO DETERMINE THE CONSTITUENT SOURCES OF NEW
PRODUCT MARKET
SHARE...............................................................................
171
5.1
INTRODUCTION.............................................................................................172
5.2 PREVIOUS
RESEARCH...................................................................................
174
5.3 NEW
APPROACH........................................................................................
181
5.4 NUMERICAL EXAMPLE OF OUR APPROACH
....................................................
183
5.5 DATA
DESCRIPTION.....................................................................................186
5.6 EMPIRICAL
STUDY......................................................................................
188
5.7 VERTICAL AND HORIZONTAL CANNIBALIZATION
...............................................
191
5.8 VALIDITY AND ROBUSTNESS OF RESULTS
.......................................................
197
5.9 MANAGERIAL
IMPLICATIONS.........................................................................198
5.10
CONCLUSION..............................................................................................202
5.11
REFERENCES...............................................................................................205
|
| any_adam_object | 1 |
| author | Ringel, Daniel 1976- |
| author_GND | (DE-588)1020890533 |
| author_facet | Ringel, Daniel 1976- |
| author_role | aut |
| author_sort | Ringel, Daniel 1976- |
| author_variant | d r dr |
| building | Verbundindex |
| bvnumber | BV045084698 |
| classification_rvk | QP 611 |
| ctrlnum | (OCoLC)1047439014 (DE-599)DNB1133508197 |
| dewey-full | 650 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 650 - Management and auxiliary services |
| dewey-raw | 650 |
| dewey-search | 650 |
| dewey-sort | 3650 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| format | Thesis Book |
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| spelling | Ringel, Daniel 1976- Verfasser (DE-588)1020890533 aut Creating Insights in Large Markets Daniel M. Ringel Hamburg Verlag Dr. Kovač 2017 XVI, 207 Seiten 22 Illustrationen, 13 Illustrationen 21 cm x 14.8 cm, 300 g txt rdacontent n rdamedia nc rdacarrier Electronic Commerce, Marketing & Finance 9 Dissertation Johann Wolfgang Goethe-Universität zu Frankfurt am Main 2017 Marktstruktur (DE-588)4037647-3 gnd rswk-swf Kundendaten (DE-588)4425089-7 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Konkurrenzanalyse (DE-588)4165039-6 gnd rswk-swf Big Data (DE-588)4802620-7 gnd rswk-swf Marketinginformationssystem (DE-588)4140243-1 gnd rswk-swf Marketing Big Data Cannibalization Online Consumer Search Overlapping Clustering Viasualization and Mapping Asymmetric Competition Competitive Market Structure (DE-588)4113937-9 Hochschulschrift gnd-content Kundendaten (DE-588)4425089-7 s Marktstruktur (DE-588)4037647-3 s Konkurrenzanalyse (DE-588)4165039-6 s Marketinginformationssystem (DE-588)4140243-1 s Data Mining (DE-588)4428654-5 s Big Data (DE-588)4802620-7 s DE-604 Verlag Dr. Kovač (DE-588)16100321-7 pbl Electronic Commerce, Marketing & Finance 9 (DE-604)BV040276303 9 X:MVB text/html http://www.verlagdrkovac.de/978-3-8300-9536-1.htm Ausführliche Beschreibung DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030475603&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Ringel, Daniel 1976- Creating Insights in Large Markets Electronic Commerce, Marketing & Finance Marktstruktur (DE-588)4037647-3 gnd Kundendaten (DE-588)4425089-7 gnd Data Mining (DE-588)4428654-5 gnd Konkurrenzanalyse (DE-588)4165039-6 gnd Big Data (DE-588)4802620-7 gnd Marketinginformationssystem (DE-588)4140243-1 gnd |
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| title | Creating Insights in Large Markets |
| title_auth | Creating Insights in Large Markets |
| title_exact_search | Creating Insights in Large Markets |
| title_full | Creating Insights in Large Markets Daniel M. Ringel |
| title_fullStr | Creating Insights in Large Markets Daniel M. Ringel |
| title_full_unstemmed | Creating Insights in Large Markets Daniel M. Ringel |
| title_short | Creating Insights in Large Markets |
| title_sort | creating insights in large markets |
| topic | Marktstruktur (DE-588)4037647-3 gnd Kundendaten (DE-588)4425089-7 gnd Data Mining (DE-588)4428654-5 gnd Konkurrenzanalyse (DE-588)4165039-6 gnd Big Data (DE-588)4802620-7 gnd Marketinginformationssystem (DE-588)4140243-1 gnd |
| topic_facet | Marktstruktur Kundendaten Data Mining Konkurrenzanalyse Big Data Marketinginformationssystem Hochschulschrift |
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