Abstract
Nowadays, the diffusion of smartphones, tablet computers, and other multipurpose equipment with high-speed Internet access makes new data types available for data analysis and classification in marketing. So, e.g., it is now possible to collect images/snaps, music, or videos instead of ratings. With appropriate algorithms and software at hand, a marketing researcher could simply group or classify respondents according to the content of uploaded images/snaps, music, or videos. However, appropriate algorithms and software are sparsely known in marketing research up to now. The paper tries to close this gap. Algorithms and software from computer science are presented, adapted and applied to data analysis and classification in marketing. The new SPSS-like software package IMADAC is introduced.
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Acknowledgments
Research was supported by the German Federal Ministry of Education and Research, FKZ 03FO3072. We wish to thank Prof. Dr. Ingo Schmitt, Chair of Database and Information Systems at BTU Cottbus, and his research group for their provision of feature extraction software within this common project. They gave us valuable comments with respect to the state of the art in image analysis and content based image retrieval. Also, we wish to thank two anonymous reviewers of our paper for their helpful suggestions for improvement.
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Baier, D., Daniel, I., Frost, S. et al. Image data analysis and classification in marketing. Adv Data Anal Classif 6, 253–276 (2012). https://doi.org/10.1007/s11634-012-0116-0
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DOI: https://doi.org/10.1007/s11634-012-0116-0