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Handbook of Market Research
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Handbook of Market Research/ edited by Christian Homburg, Martin Klarmann, Arnd Vomberg.
其他作者:
Vomberg, Arnd.
面頁冊數:
211 illus., 73 illus. in color. eReference.online resource. :
Contained By:
Springer Nature eReference
標題:
Business and Management. -
電子資源:
https://doi.org/10.1007/978-3-319-57413-4
ISBN:
9783319574134
Handbook of Market Research
Handbook of Market Research
[electronic resource] /edited by Christian Homburg, Martin Klarmann, Arnd Vomberg. - 1st ed. 2022. - 211 illus., 73 illus. in color. eReference.online resource.
Data. Experiments in Market Research -- Field Experiments -- Design and Process of Survey Research -- Qualitative Market Research -- Challenges in Conducting International Market Research -- Dealing with Endogeneity: A Nontechnical Guide for Marketing Researchers -- Fusion Modeling -- Managing Data Quality -- Methods. Cluster Analysis -- Finite Mixture Models -- Factor Analysis -- Structural Equation Modeling -- Partial Least Squares Structural Equation Modeling -- Analysis of Variance -- Regression Analysis -- Multilevel Modeling -- Panel Data Analysis -- Logistic Regression and Discriminant Analysis -- Choice-based Conjoint Analysis -- Bayesian Models -- Automated text analysis -- Mediation Analysis in Experimental Research -- Exploiting Data from Quasi-Field Experiments -- Applications. Social Media Tracking -- Market Segmentation -- Measuring Customer Satisfaction and Customer Loyalty -- Assessing the Financial Impact of Brand Equity with Short Time-Series Data -- Measuring Sales Promotion Effectiveness -- Return on Media Models -- Preference Measurement -- Willingness to pay -- Modeling Customer Lifetime Value, Retention, and Churn.
In this handbook, internationally renowned scholars outline the current state-of-the-art of quantitative and qualitative market research. They discuss focal approaches to market research and guide students and practitioners in their real-life applications. Aspects covered include topics on data-related issues, methods, and applications. Data-related topics comprise chapters on experimental design, survey research methods, international market research, panel data fusion, and endogeneity. Method-oriented chapters look at a wide variety of data analysis methods relevant for market research, including chapters on regression, structural equation modeling (SEM), conjoint analysis, and text analysis. Application chapters focus on specific topics relevant for market research such as customer satisfaction, customer retention modeling, return on marketing, and return on price promotions. Each chapter is written by an expert in the field. The presentation of the material seeks to improve the intuitive and technical understanding of the methods covered. .
ISBN: 9783319574134
Standard No.: 10.1007/978-3-319-57413-4doiSubjects--Topical Terms:
934826
Business and Management.
LC Class. No.: HF5410-5417.5
Dewey Class. No.: 658.8
Handbook of Market Research
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Data. Experiments in Market Research -- Field Experiments -- Design and Process of Survey Research -- Qualitative Market Research -- Challenges in Conducting International Market Research -- Dealing with Endogeneity: A Nontechnical Guide for Marketing Researchers -- Fusion Modeling -- Managing Data Quality -- Methods. Cluster Analysis -- Finite Mixture Models -- Factor Analysis -- Structural Equation Modeling -- Partial Least Squares Structural Equation Modeling -- Analysis of Variance -- Regression Analysis -- Multilevel Modeling -- Panel Data Analysis -- Logistic Regression and Discriminant Analysis -- Choice-based Conjoint Analysis -- Bayesian Models -- Automated text analysis -- Mediation Analysis in Experimental Research -- Exploiting Data from Quasi-Field Experiments -- Applications. Social Media Tracking -- Market Segmentation -- Measuring Customer Satisfaction and Customer Loyalty -- Assessing the Financial Impact of Brand Equity with Short Time-Series Data -- Measuring Sales Promotion Effectiveness -- Return on Media Models -- Preference Measurement -- Willingness to pay -- Modeling Customer Lifetime Value, Retention, and Churn.
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