2024
DOI: 10.1016/j.retrec.2023.101403
|View full text |Cite
|
Sign up to set email alerts
|

Gender and generational differences in omnichannel shopping travel decisions: What drives consumer choices to pick up in-store or ship direct?

Aparna Joshi,
Agnivesh Pani,
Prasanta K. Sahu
et al.
Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
0
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
3
1
1

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(2 citation statements)
references
References 30 publications
0
0
0
Order By: Relevance
“…The foundational work by Meuter et al [12] provides a comprehensive framework that underscores the influence of individual differences-including technological anxiety, need for interaction, and demographic characteristics-on technology acceptance. This framework, together with the findings from Joshi et al [59], which indicate that demographic factors significantly impact consumer preferences and acceptance of new retail technologies, suggests that gender might play a mediating role in the relationship between prior experience with AI technologies, perceived risks with AI technologies, self-assessment of consumers' ability to manage AI technologies, and AI use readiness in physical retail stores. Chung et al [71] specifically found that AI models trained on gender-specific data show decreased performance when applied to the opposite gender, emphasizing the significant impact of gender as a mediating factor in AI model efficacy and highlighting its potential implications for AI use readiness in diverse applications.…”
Section: Conceptual Framework and Hypothesismentioning
confidence: 79%
See 1 more Smart Citation
“…The foundational work by Meuter et al [12] provides a comprehensive framework that underscores the influence of individual differences-including technological anxiety, need for interaction, and demographic characteristics-on technology acceptance. This framework, together with the findings from Joshi et al [59], which indicate that demographic factors significantly impact consumer preferences and acceptance of new retail technologies, suggests that gender might play a mediating role in the relationship between prior experience with AI technologies, perceived risks with AI technologies, self-assessment of consumers' ability to manage AI technologies, and AI use readiness in physical retail stores. Chung et al [71] specifically found that AI models trained on gender-specific data show decreased performance when applied to the opposite gender, emphasizing the significant impact of gender as a mediating factor in AI model efficacy and highlighting its potential implications for AI use readiness in diverse applications.…”
Section: Conceptual Framework and Hypothesismentioning
confidence: 79%
“…This privacy concern is not isolated to AI but extends to related technologies such as the Internet of Things (IoT), as noted by Abed [54], suggesting a broader apprehension towards digital technologies' encroachment on personal privacy. Further exploration by Joshi et al [59] into the dynamics of retail system reliability and trust elucidates the integral role of perceived security and trustworthiness in consumer decision-making processes, particularly in AI use readiness. This body of work collectively underscores a significant barrier to AI use readiness in physical retail stores: the perceived risks regarding confidentiality and privacy.…”
Section: Conceptual Framework and Hypothesismentioning
confidence: 99%