A multi-method approach to examining consumer intentions to use smart retail technology

This study examines the antecedents and consequences of customers' intentions to use smart retail technology (SRT), specifically Smart Retail Carts. We propose that perceived novelty, efficacy, compatibility, risk SRT determine consumers' SRT, which, in turn, influences their shopping value through interaction with this SRT. Survey responses from 338 actual shoppers prior experience were used test research model. In addition structural equation modeling (SEM), Fuzzy-Set Qualitative Comparative Analysis (fsQCA) technique was analyze data. SEM analysis enabled us investigate hypothesize relationships among above factors, while fsQCA helped develop configurations factors find appropriate target consumers The findings posit as to, of, Moreover, found such novelty resulted improved intention form present offers a better understanding adopt may help managers adoption strategies for successful implementation in-store.