Product quality tracking based on digital Voice-of-Customers

Abstract

Nowadays, word of mouth and the Voice-of-Customers have largely left their physical and relational dimension to be replaced by online digital platforms where users can describe their experiences and share them openly. However, the increasing availability of user-generated content, related to the usage of products and services, poses several challenges for research. A key priority is to understand how to use these large amounts of accessible and low-cost data to improve the quality of products and/or services and, consequently, customer satisfaction. The purpose of this paper is to show the potential of digital Voice-of-Customers (digital VoCs) as a source of information to monitor quality over time. The obtained insights may represent a first step towards developing quality tracking tools based on digital VoCs, thereby allowing the evolution of changes in perceived quality to be understood. Some examples accompany the description.

Keywords:

• Quality 4.0
• quality tracking
• digital Voice-of-Customers
• topic modelling
• user-generated content
• customer review

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

Data sharing is not applicable to this article as no new data were created or analyzed in this study.

Additional information

Funding

This work has been partially supported by the “Ministero dell'Istruzione, dell'Università e della Ricerca” Award “TESUN-83486178370409 finanziamento dipartimenti di eccellenza CAP. 1694 TIT. 232 ART. 6”.