Usage and success factors of commercial recommendation agents

Abstract

PurposeSince their inception, which took place more than two decades ago, product recommendation agents (RAs) still attract very few consumers. Notably, most of academic work in the field had an empirical quantitative structure. In addition, no research has developed a comprehensive model to explain the adoption and usage of commercial RAs. The purpose of this paper is to follow a qualitative approach to investigate the factors behind the adoption and usage of commercial RAs, explore the effect of user age, and deduce the success factors of these RAs.Design/methodology/approachThis research followed a qualitative approach. Qualitative research aims to form an in‐depth understanding of human behavior. It is essential for building grounded theory and for proposing comprehensive models for future examination. As such, in four discussion groups, participants provided their input following the shopping trial for a product using a factual RA (MyProductAdvisor.com). Discussion groups were used because they outline an important aspect of qualitative research and because they are ideal for both the inception and development of products and services.FindingsUnderlying the major themes, the analysis first provides insight in consumers' RA use and the products consumers regard as adequate to be offered using a commercial RA. The analysis then delineates some important factors that can be considered by developers to enhance the usability and trustworthiness of commercial RAs. Further, the analysis suggested four higher‐order factors that can be considered the success factors of a commercial RA: users appear to require a commercial RA that is friendly, smart, trusted, and informational. The themes that emerged from participants in the youth and the older discussion groups were rather invariant.Originality/valueThis is one of the few qualitative studies that focused on commercial RAs. The commercial RA success factors and their determinants are summarized in the form of a general framework to guide future work. This qualitative work provides a cornerstone that is of importance to theory development in the field of intelligent RAs and assistive technology. The results have important implications for RAs' developers and researchers.