Table 1

Literature on attributes in conversational (voice) commerce research

Attribute categoryAttributeCurrent studyExisting studiesContribution
ConsumerAutonomy-efficiency tradeoff Dellaert et al. (2020)  
Cognitive effort (includes attributes like mental capacity) Berriche et al. (2022), Dellaert et al. (2020)  
Interaction frequency Hernández-Ortega et al. (2022)  
Interest Hernández-Ortega et al. (2022)  
Path dependence of decision process Dellaert et al. (2020)  
Perceived relative advantage Theoretical extension
Personality traits Bawack et al. (2021)  
Pleasure-based satisfaction Hernández-Ortega et al. (2022)  
Positive-to-negative emotions ratio Berriche et al. (2022)  
Privacy concernsBawack et al. (2021), Berriche et al. (2022) Theoretical generalizability
Relational cohesion (includes attributes like perceived power, perception of voice assistant as partner or servant, relationship orientation) Grewal et al. (2022), Hernández-Ortega et al. (2022), Tassiello et al. (2021), van Doorn et al. (2017)  
Social influence and normative pressuresMoriuchi (2019) Theoretical generalizability
Technology readiness van Doorn et al. (2017)  
Transparency Berriche et al. (2022)  
Trust (includes attributes like distrust, perceived risk due to bias) Bawack et al. (2021), Berriche et al. (2022), Malodia et al. (2023), McLean et al., (2021), Rabassa et al. (2022)  
User familiarity (includes attributes like prior experience)Bawack et al. (2021) Theoretical generalizability
Product and serviceAttractiveness van Doorn et al. (2017)  
Level of product involvement Tassiello et al. (2021)  
Manipulability van Doorn et al. (2017)  
Number of options Dellaert et al. (2020)  
Receptiveness van Doorn et al. (2017)  
Service complexity Theoretical extension
Service consumption phase (includes stages of customer journey)Grewal et al. (2022) Theoretical generalizability
Type of task (includes type of decision task: objective/subjective, transactional/non-transactional) Dellaert et al. (2020), Moriuchi (2019)  
Service providerBrand familiarity Theoretical extension
Multichannel integration Theoretical extension
Voice assistant (outside scope of study)Anthropomorphization (includes attributes like human likeness, humanness, personification) Dellaert et al. (2020), Grewal et al. (2022), Malodia et al. (2023), van Doorn et al. (2017)  
Benefit-to-cost ratio (includes attributes like hedonic and utilitarian benefits) Berriche et al. (2022), McLean et al. (2021)  
Convenience Malodia et al. (2023)  
Competence van Doorn et al. (2017)  
Intelligence (includes attributes like perceived intelligence) Grewal et al. (2022), McLean et al. (2021)  
Localization Moriuchi (2019)  
Media richness Berriche et al. (2022)  
Perceived control Berriche et al. (2022)  
Perceived ease of use Malodia et al. (2023), McLean et al. (2021), Moriuchi (2019)  
Perceived usefulness Berriche et al. (2022), Malodia et al. (2023), McLean et al. (2021), Moriuchi (2019)  
Personalization Berriche et al. (2022)  
Social attractiveness (includes attributes like social identity, social presence) Malodia et al. (2023), McLean et al. (2021)  
Technical maturity Berriche et al. (2022)  
Warmth van Doorn et al. (2017)  
OutcomePurchase intention (as a proxy of actual purchase)Malodia et al. (2023), Tassiello et al. (2021) Theoretical generalizability

Note(s): The checkmarks (☑) in the “Current Study” column indicate the attributes explicitly examined in this study. These attributes are central to the study’s analysis and findings. The terms in the “Contribution” column include theoretical extension, which refers to the introduction of new attributes or perspectives not previously explored in the literature on conversational (voice) commerce, as well as theoretical generalizability, which indicates that this study confirms or replicates findings from previous studies, showing that these attributes are also covered and found to be relevant in this study. With this understanding, the table shows that this study advances the understanding of conversational (voice) commerce by integrating and extending key attributes across consumer, product, service and outcome categories, where it introduces novel attributes such as “perceived relative advantage,” “service complexity,” “brand familiarity” and “multichannel integration,” which were not previously examined (i.e. theoretical extension), while also reaffirming established attributes like “privacy concerns” and “user familiarity” (i.e. theoretical generalizability). This dual approach provides a more comprehensive framework for future research on conversational (voice) commerce

Source(s): Authors’ own compilation

or Create an Account

Close Modal
Close Modal