2022
DOI: 10.1016/j.ijinfomgt.2021.102413
|View full text |Cite
|
Sign up to set email alerts
|

Psychological determinants of users’ adoption and word-of-mouth recommendations of smart voice assistants

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

9
96
1

Year Published

2022
2022
2024
2024

Publication Types

Select...
8

Relationship

1
7

Authors

Journals

citations
Cited by 104 publications
(106 citation statements)
references
References 80 publications
9
96
1
Order By: Relevance
“…Hence, to avoid hoarding, governments and marketers should try to reduce the general anxiety among people. Perhaps, one way to reduce anxiety is to use positive and aspirational communication such as positive word-of-mouth, which can significantly impact user behavior and attitude (Mishra et al , 2018, 2021).…”
Section: Discussionmentioning
confidence: 99%
“…Hence, to avoid hoarding, governments and marketers should try to reduce the general anxiety among people. Perhaps, one way to reduce anxiety is to use positive and aspirational communication such as positive word-of-mouth, which can significantly impact user behavior and attitude (Mishra et al , 2018, 2021).…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, this study urges companies to make a digital marketing team that may put their online reviews about their products and rectify misconceptions about their companies through a larger number of reviews. This study highlights the factors that affect electronic word of mouth in online communities that help make consumer purchasing mindset (Mishra, Shukla & Sharma, 2021). People ask online opinions from their peers or people across the globe before buying anything.…”
Section: Hypothesismentioning
confidence: 96%
“…The measurements for AI features primarily focus on users' perceptions, which are different from their perceptions of other systems due to the personalized, intelligent, and anthropomorphic behavior of AI applications (Huang and Rust, 2020;Grewal et al, 2021;Mishra et al, 2021). Moussawi and Koufaris (2019) adopted a systematic approach to conclude that perceived intelligence and anthropomorphism are two key characteristics of AI-enabled systems.…”
Section: Ai Features As Stimulimentioning
confidence: 99%
“…Moussawi et al (2020) mentioned that when users employ AI-enabled service, their display of intelligent characteristics may also cause users to regard it as caring, loving, respectful or interesting. The communication of AI services makes people feel that the applications are anthropomorphic and have a deeper understanding (Mishra et al, 2021;Moussawi et al, 2020;Moussawi and Koufaris, 2019) of users' needs. Therefore, an increase in perceived intelligence may also increase perceived anthropomorphism.…”
Section: Perceived Intelligence and Anthropomorphismmentioning
confidence: 99%
See 1 more Smart Citation