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Titlebook: Handbook of Market Research; Christian Homburg,Martin Klarmann,Arnd Vomberg Living reference work 20200th edition Data Analytics.Market R

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發(fā)表于 2025-3-21 18:14:56 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Handbook of Market Research
編輯Christian Homburg,Martin Klarmann,Arnd Vomberg
視頻videohttp://file.papertrans.cn/422/421595/421595.mp4
概述Covers a very broad spectrum of important market research methods, both quantitative and qualitative.Written by an experts market research Provides an intuitive understanding of the material, includin
圖書封面Titlebook: Handbook of Market Research;  Christian Homburg,Martin Klarmann,Arnd Vomberg Living reference work 20200th edition  Data Analytics.Market R
描述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..
出版日期Living reference work 20200th edition
關(guān)鍵詞Data Analytics; Market Research Methods; Neural Networks; Qualitative Market Research; Survey Design
doihttps://doi.org/10.1007/978-3-319-05542-8
isbn_ebook978-3-319-05542-8
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 22:43:41 | 只看該作者
Field Experiments,cus on causal inference and internal and external validity. We conclude the chapter with a practical case study as well as a brief literature review on recent published articles employing field experiments as a data collection method, providing the reader with a list of examples to consider and to r
板凳
發(fā)表于 2025-3-22 04:11:17 | 只看該作者
Crafting Survey Research: A Systematic Process for Conducting Survey Research,n, we offer a systematic approach for crafting surveys. We discuss key steps and decisions in the survey design process, with a particular focus on standardized questionnaires, and we emphasize how those choices can help alleviate potential biases. Finally, we discuss how investigators can address p
地板
發(fā)表于 2025-3-22 04:41:18 | 只看該作者
Challenges in Conducting International Market Research,laborative and iterative translation and statistical methods for testing equivalence. This chapter provides researchers with the methods and tools necessary to derive meaningful and sound conclusions from research designed to guide international marketing activities.
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發(fā)表于 2025-3-22 09:11:52 | 只看該作者
Dealing with Endogeneity: A Nontechnical Guide for Marketing Researchers,s of good quality is challenging. We discuss good practice in finding IVs, and we examine common IV estimation approaches, such as the two-stage least squares approach and the control function approach. Furthermore, we consider other implementation challenges, such as dealing with endogeneity when t
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發(fā)表于 2025-3-22 13:13:01 | 只看該作者
Fusion Modeling,res including mismatched groups of customers, data at different levels of aggregation, and more general missing data problems that commonly arise in marketing. This chapter provides readers with a step-by-step guide to developing Bayesian data fusion applications, including an example fully worked o
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發(fā)表于 2025-3-22 17:23:16 | 只看該作者
Modeling Marketing Dynamics Using Vector Autoregressive (VAR) Models,emic researchers pay attention to whether a performance change is temporary (short-term) or lasting (long-term). Establishing the distinction between short-term and long-term marketing effectiveness is central to the understanding of marketing strategy and its implications, which this chapter aims t
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