Literature on attributes in conversational (voice) commerce research
| Attribute category | Attribute | Current study | Existing studies | Contribution |
|---|---|---|---|---|
| Consumer | Autonomy-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 concerns | ☑ | Bawack 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 pressures | ☑ | Moriuchi (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 service | Attractiveness | 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 provider | Brand 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) | |||
| Outcome | Purchase intention (as a proxy of actual purchase) | ☑ | Malodia et al. (2023), Tassiello et al. (2021) | Theoretical generalizability |
| Attribute category | Attribute | Current study | Existing studies | Contribution |
|---|---|---|---|---|
| Consumer | Autonomy-efficiency tradeoff | |||
| Cognitive effort (includes attributes like mental capacity) | ||||
| Interaction frequency | ||||
| Interest | ||||
| Path dependence of decision process | ||||
| Perceived relative advantage | ☑ | Theoretical extension | ||
| Personality traits | ||||
| Pleasure-based satisfaction | ||||
| Positive-to-negative emotions ratio | ||||
| Privacy concerns | ☑ | Theoretical generalizability | ||
| Relational cohesion (includes attributes like perceived power, perception of voice assistant as partner or servant, relationship orientation) | ||||
| Social influence and normative pressures | ☑ | Theoretical generalizability | ||
| Technology readiness | ||||
| Transparency | ||||
| Trust (includes attributes like distrust, perceived risk due to bias) | ||||
| User familiarity (includes attributes like prior experience) | ☑ | Theoretical generalizability | ||
| Product and service | Attractiveness | |||
| Level of product involvement | ||||
| Manipulability | ||||
| Number of options | ||||
| Receptiveness | ||||
| Service complexity | ☑ | Theoretical extension | ||
| Service consumption phase (includes stages of customer journey) | ☑ | Theoretical generalizability | ||
| Type of task (includes type of decision task: objective/subjective, transactional/non-transactional) | ||||
| Service provider | Brand familiarity | ☑ | Theoretical extension | |
| Multichannel integration | ☑ | Theoretical extension | ||
| Voice assistant (outside scope of study) | Anthropomorphization (includes attributes like human likeness, humanness, personification) | |||
| Benefit-to-cost ratio (includes attributes like hedonic and utilitarian benefits) | ||||
| Convenience | ||||
| Competence | ||||
| Intelligence (includes attributes like perceived intelligence) | ||||
| Localization | ||||
| Media richness | ||||
| Perceived control | ||||
| Perceived ease of use | ||||
| Perceived usefulness | ||||
| Personalization | ||||
| Social attractiveness (includes attributes like social identity, social presence) | ||||
| Technical maturity | ||||
| Warmth | ||||
| Outcome | Purchase intention (as a proxy of actual purchase) | ☑ | 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
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