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Start Date

16-8-2018 12:00 AM

Description

This paper is to investigate how text-based and image-based information influence product sales in electronic markets. We apply signaling theory to elaborate the role of image-based and text-based information in consumers’ purchase decisions and use deep neural networks model to analyze different types of information in online sales websites. We collect information about 4,368 furniture products from Amazon and find that both image-based and text-based information influence consumers’ purchase decisions, but the former one is more crucial. This paper makes contributions to e-commerce literature by elaborating the signaling role of available information in sales websites, highlighting the importance of considering both text-based and image-based information in the data analysis, and demonstrating how to apply advanced deep learning techniques and models in e-commerce studies.

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Aug 16th, 12:00 AM

Using Image-based and Text-based Information for Sales Prediction: A Deep Neural Network Model

This paper is to investigate how text-based and image-based information influence product sales in electronic markets. We apply signaling theory to elaborate the role of image-based and text-based information in consumers’ purchase decisions and use deep neural networks model to analyze different types of information in online sales websites. We collect information about 4,368 furniture products from Amazon and find that both image-based and text-based information influence consumers’ purchase decisions, but the former one is more crucial. This paper makes contributions to e-commerce literature by elaborating the signaling role of available information in sales websites, highlighting the importance of considering both text-based and image-based information in the data analysis, and demonstrating how to apply advanced deep learning techniques and models in e-commerce studies.