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

Bibliographic Data

ID11237602
AuthorsAntonello Cammarano (0000-0002-7922-5864, University of Salerno), Vincenzo Varriale (0000-0003-4382-7350, University of Salerno, corresponding author), Francesca Michelino (0000-0003-1175-509X, University of Salerno), Mauro Caputo (0000-0003-3500-4290, University of Salerno)
Year2023
Volume73
Pages102231
Publication date2023-05-01
Open AccessYes
TypeARTICLE
VenueTechnology in Society (JOURNAL)
Journal identifiersISSN: 0160-791X • E-ISSN: 1879-3274
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.techsoc.2023.102231
OpenAlexW4324135428
LanguageEN
Citations received3
References cited110

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

Big data · Business · Data mining · Data science · Product (mathematics · Quality (philosophy · Set (abstract data type · Value (mathematics · Work (physics · Computer Science · Engineering · Innovation and Knowledge Management · Innovation Diffusion and Forecasting · Intellectual Property and Patents · Mathematics · Marketing

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