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Database Submission ---Market Dynamics and User-Generated Content About Tablet Computers

Author

Listed:
  • Xin (Shane) Wang

    (Department of Marketing, Carl H. Lindner College of Business, University of Cincinnati, Cincinnati, Ohio 45221)

  • Feng Mai

    (Department of Operations, Business Analytics, and Information Systems, Carl H. Lindner College of Business, University of Cincinnati, Cincinnati, Ohio 45221)

  • Roger H. L. Chiang

    (Department of Operations, Business Analytics, and Information Systems, Carl H. Lindner College of Business, University of Cincinnati, Cincinnati, Ohio 45221)

Abstract

Our Tablet Computer data set, collected from various websites, contains market dynamics related to 2,163 products, characteristics of 794 products, more than 40,000 consumer-generated product reviews, and information about 39,278 reviewers. The market dynamic information was collected weekly for 24 weeks starting February 1, 2012. Our Tablet Computer data set comprises four tables: the Market Dynamics of Products, Product Characteristic Information, Consumer-Generated Product Reviews, and Reviewer Information tables. In turn, it offers three unique properties. First, it contains both structured product information and unstructured product reviews. Second, it comprises product characteristic information and market dynamic information. Third, this data set integrates user-generated content with manufacturer-provided content. This integrated data set (available at http://pubsonline.informs.org/page/mksc/online-databases ) is valuable for both academics and practitioners who conduct research related to marketing, information systems, computer science, and other fields using digital data readily available through the Internet.

Suggested Citation

  • Xin (Shane) Wang & Feng Mai & Roger H. L. Chiang, 2014. "Database Submission ---Market Dynamics and User-Generated Content About Tablet Computers," Marketing Science, INFORMS, vol. 33(3), pages 449-458, May.
    • Handle: RePEc:inm:ormksc:v:33:y:2014:i:3:p:449-458
    DOI: 10.1287/mksc.2013.0821
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    3. Zhang, Min & Sun, Lin & Wang, G. Alan & Li, Yuzhuo & He, Shuguang, 2022. "Using neutral sentiment reviews to improve customer requirement identification and product design strategies," International Journal of Production Economics, Elsevier, vol. 254(C).
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    6. Saeed Tajdini, 2023. "The effects of internet search intensity for products on companies’ stock returns: a competitive intelligence perspective," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(3), pages 352-365, September.

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