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Quantitative modelling in marketing and management /

The field of marketing and management has undergone immense changes over the past decade. These dynamic changes are driving an increasing need for data analysis using quantitative modelling. Problem solving using the quantitative approach and other models has always been a hot topic in the fields of...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Moutinho, Luiz, Huarng, Kun-Huang
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Singapore : World Scientific, ©2013.
Temas:
Acceso en línea:Texto completo

MARC

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245 0 0 |a Quantitative modelling in marketing and management /  |c edited by Luiz Moutinho, Kun-Huang Huarng. 
246 3 |a Quantitative modeling in marketing and management 
260 |a Singapore :  |b World Scientific,  |c ©2013. 
300 |a 1 online resource (xxvi, 503 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
520 |a The field of marketing and management has undergone immense changes over the past decade. These dynamic changes are driving an increasing need for data analysis using quantitative modelling. Problem solving using the quantitative approach and other models has always been a hot topic in the fields of marketing and management. Quantitative modelling seems admirably suited to help managers in their strategic decision making on operations management issues. In social sciences, quantitative research refers to the systematic empirical investigation of social phenomena via statistical, mathematical or. 
505 0 |a Ch. 1. A review of the major multidimensional scaling models for the analysis of preference/dominance data in marketing / Wayne S. DeSarbo and Sunghoon Kim -- ch. 2. Role of structural equation modelling in theory testing and development / Parikshat S. Manhas [and others] -- ch. 3. Partial least squares path modelling in marketing and management research: an annotated application / Joaquin Aldas-Manzano -- ch. 4. DEA -- data envelopment analysis: models, methods and applications / Dr. Alex Manzoni and Professor Sardar M.N Islam -- ch. 5. Statistical model selection / Graeme D Hutcheson -- ch. 6. Artificial neural networks and structural equation modelling: an empirical comparison to evaluate business customer loyalty / Arnaldo Coelho [and others] -- ch. 7. The application of NN to management problems / Arnaldo Coelho, Luiz Moutinho and Maria Manuela Santos Silva -- ch. 8. Logical discriminant models / Margarida G.M.S. Cardoso -- ch. 9. Meta-heuristics in marketing / Stephen Hurley and Luiz Moutinho -- ch. 10. Hold a mirror up to nature: a new approach on correlation evaluation with fuzzy data and its applications in econometrics / Chih Ching Yang [and others] -- ch. 11. Non-parametric test with fuzzy data and its applications in the performance evaluation of customer capital / Yu-Lan Lee, Ming-leih Wu and Chunti Su -- ch. 12. Too much ADO about nothing? Fuzzy measurement of job stress for school leaders / Berlin Wu and Mei Fen Liu -- ch. 13. Fuzzy composite score and situational judgement test: an integrated operation perspective of scoring / Hawjeng Chiou and Tsung-Lin Ou -- ch. 14. Cluster analysis: an example analysis on personality and dysfunctional customer behaviour / Malcolm J. Beynon and Kate L. Daunt -- ch. 15. Assessing the perception of superstitious numbers and its effect on purchasing intentions / Dina-Fu Chang and Yi-Sheng Jiang -- ch. 16. Qualitative comparison analysis: an example analysis of clinical directorates and resource management / Malcolm J. Beynon, Aoife McDermott and Mary A. Keating -- ch. 17. Data mining process models: a roadmap for knowledge discovery / Armando B. Mendes, Luis Cavique and Jorge M.A. Santos -- ch. 18. Growth models / Mladen Sokele -- ch. 19. PROMETHEE: technical details and developments, and its role in performance management / Malcolm J. Beynon and Harry Barton -- ch. 20. Clique communities in social networks / Luis Cavique, Armando B. Mendes and Jorge M.A. Santos -- ch. 21. Conclusion. 
546 |a English. 
590 |a eBooks on EBSCOhost  |b EBSCO eBook Subscription Academic Collection - Worldwide 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Management  |x Mathematical models. 
650 0 |a Marketing  |x Mathematical models. 
650 6 |a Gestion  |x Modèles mathématiques. 
650 6 |a Marketing  |x Modèles mathématiques. 
650 7 |a BUSINESS & ECONOMICS  |x Distribution.  |2 bisacsh 
650 7 |a BUSINESS & ECONOMICS  |x Marketing  |x General.  |2 bisacsh 
650 7 |a Management  |x Mathematical models  |2 fast 
650 7 |a Marketing  |x Mathematical models  |2 fast 
700 1 |a Moutinho, Luiz. 
700 1 |a Huarng, Kun-Huang. 
776 0 8 |i Print version:  |t Quantitative modelling in marketing and management.  |d Singapore : World Scientific, ©2013  |z 9789814407717 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=1080984  |z Texto completo 
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