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Quantitative modelling in marketing ...

Huarng, Kun-Huang.

Quantitative modelling in marketing and management

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Quantitative modelling in marketing and managementedited by Luiz Moutinho, Kun-Huang Huarng.
其他作者:	Moutinho, Luiz.
出版者:	Singapore :World Scientific,c2013.
面頁冊數:	1 online resource (xxvi, 503 p.) :ill.
標題:	ManagementMathematical models.
電子資源:	http://www.worldscientific.com/worldscibooks/10.1142/8503#t=toc
ISBN:	9789814407724 (electronic bk.)

Quantitative modelling in marketing and management
Quantitative modelling in marketing and management[electronic resource] /edited by Luiz Moutinho, Kun-Huang Huarng. - Singapore :World Scientific,c2013. - 1 online resource (xxvi, 503 p.) :ill.

Includes bibliographical references and index.

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 ... [et al.] -- 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 ... [et al.] -- 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 ... [et al.] -- 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.

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

ISBN: 9789814407724 (electronic bk.)Subjects--Topical Terms:

184128
Management
--Mathematical models.Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: HD30.25 / .Q36 2013eb

Dewey Class. No.: 658.80072/7

Quantitative modelling in marketing and management
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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
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