大葉大學圖書館 |

Quantitative modelling in marketing and management[electronic resource] /

レコード種別:	言語・文字資料 (印刷物) : 単行資料
[NT 15000414] null:	658.80072/7
タイトル / 著者:	Quantitative modelling in marketing and management/ edited by Luiz Moutinho, Kun-Huang Huarng.
その他の著者:	Moutinho, Luiz.
出版された:	Singapore : : World Scientific,, c2013.
記述:	1 online resource (xxvi, 503 p.) : : ill.
主題:	Management - Mathematical models.
主題:	Marketing - Mathematical models.
国際標準図書番号 (ISBN) :	9789814407724 (electronic bk.)
国際標準図書番号 (ISBN) :	9814407720 (electronic bk.)
[NT 15000227] null:	Includes bibliographical references and index.
[NT 15000228] null:	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.
[NT 15000229] null:	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
電子資源:	http://www.worldscientific.com/worldscibooks/10.1142/8503#t=toc

Quantitative modelling in marketing and management[electronic resource] /
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:

447177
Management
--Mathematical models.Index Terms--Genre/Form:

336502
Electronic books.

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

Dewey Class. No.: 658.80072/7

Quantitative modelling in marketing and management[electronic resource] /
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300 $a 1 online resource (xxvi, 503 p.) : $b ill.
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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 ... [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.
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
650 0 $a Management $x Mathematical models. $3 447177
650 0 $a Marketing $x Mathematical models. $3 512018
655 0 $a Electronic books. $2 local $3 336502
700 1 $a Moutinho, Luiz. $3 458554
700 1 $a Huarng, Kun-Huang. $3 556364
856 4 0 $u http://www.worldscientific.com/worldscibooks/10.1142/8503#t=toc