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Employing online big data and patent statistics to examine the relationship between end product's perceived quality and components' technological features

Author

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  • Cammarano, Antonello
  • Varriale, Vincenzo
  • Michelino, Francesca
  • Caputo, Mauro

Abstract

The aim of this work is to analyse the relationship between components' technological features and a product's perceived quality by consumers. The information about technological features is gathered from patent data, whereas the perceived quality is based on a voluminous set of online users' opinions. The research intends to let emerge the usefulness of big data for managing the technological development of high-tech products. The relationship is tested in the smartphone industry, focusing on 168 flagship smartphones. The work demonstrates the role of components of a product architecture in improving the end product's market value. Specifically, the perceived quality of a smartphone seems to be particularly affected by technological features of three components - application processor, camera module, and image sensor - in terms of both technological capacity and technological strategy.

Suggested Citation

  • Cammarano, Antonello & Varriale, Vincenzo & Michelino, Francesca & Caputo, Mauro, 2023. "Employing online big data and patent statistics to examine the relationship between end product's perceived quality and components' technological features," Technology in Society, Elsevier, vol. 73(C).
    • Handle: RePEc:eee:teinso:v:73:y:2023:i:c:s0160791x23000362
    DOI: 10.1016/j.techsoc.2023.102231
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