arbiter
JournalsAccount

The Voice of Commerce: A Systematic Review and Integrative Framework for Digital Voice Assistants

Ziqiang Wu et al.

International Journal of Consumer Studies2026https://doi.org/10.1111/ijcs.70159article
AJG 2ABDC A
Weight
0.50

Abstract

The present study offers a comprehensive analysis of existing literature on consumer behavior concerning digital voice assistants and their implications for sustainable consumption by employing the systematic literature review approach. A total of 126 studies were selected for content analysis to isolate thematic foci, identify research gaps, recommend future research avenues, and develop a framework. The analysis revealed that the extant literature could be grouped under broad research themes founded on the expanded cognition–affection–conation framework. Through this framework, the study developed an agenda for future research in this area, encompassing the aspects of ethical consideration, the digital voice assistant design, consumer–digital voice assistant interaction and psychological mechanisms, consumer‐ and brand‐related outcomes, and boundary conditions (e.g., culture and personal factors).

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.1111/ijcs.70159

Or copy a formatted citation

@article{ziqiang2026,
  title        = {{The Voice of Commerce: A Systematic Review and Integrative Framework for Digital Voice Assistants}},
  author       = {Ziqiang Wu et al.},
  journal      = {International Journal of Consumer Studies},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1111/ijcs.70159},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

The Voice of Commerce: A Systematic Review and Integrative Framework for Digital Voice Assistants

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.