2021
DOI: 10.1108/jabs-05-2020-0207
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From physical to digital: what drives generation Z for mobile commerce adoption?

Abstract: Purpose This study aims to identify factors affecting generation Z as the early adopters of mobile commerce (m-commerce). The research seeks to explore their behavioral intention to adopt m-commerce in India with consideration of gender differences while providing empirical validation for the theory of planned behavior (TPB). Design/methodology/approach In this study, a modified TPB model has been used to explain generation Z’s intention to adopt m-commerce. The proposed model was tested using a survey metho… Show more

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Cited by 12 publications
(7 citation statements)
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References 58 publications
(74 reference statements)
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“…Venkatesh and Davis (2000) found that subjective norms in TPB directly influence behavioral intention and perceived usefulness, thereby indirectly influencing actual use. Many research relating to mobile commerce testified that subjective norm has a positive and significant association with behavioral intention (Awiagah et al, 2016;Kim et al, 2009;Kumar et al, 2020;Verma et al, 2021;Wei et al, 2009;Zhang et al, 2012). According to Deb and Agrawal (2017), subjective norms influence the ultimate acceptance of m-commerce services.…”
Section: Research Model and Hypothesesmentioning
confidence: 99%
“…Venkatesh and Davis (2000) found that subjective norms in TPB directly influence behavioral intention and perceived usefulness, thereby indirectly influencing actual use. Many research relating to mobile commerce testified that subjective norm has a positive and significant association with behavioral intention (Awiagah et al, 2016;Kim et al, 2009;Kumar et al, 2020;Verma et al, 2021;Wei et al, 2009;Zhang et al, 2012). According to Deb and Agrawal (2017), subjective norms influence the ultimate acceptance of m-commerce services.…”
Section: Research Model and Hypothesesmentioning
confidence: 99%
“…In light of our study's findings, it is imperative to acknowledge the potential for alternative explanations in interpreting the influence of AI interaction factors on brand trust and purchasing decisions among Generation Z. Factors such as cultural nuances (Priporas et al, 2017 ), socio-economic status (Puiu et al, 2021 ) and individual differences in technology acceptance and digital literacy (Verma et al, 2021 ) may also play a moderating role in this relationship. Additionally, external market dynamics, including competitive pressures (Varsha et al, 2021 ) and market saturation (Guo and Luo, 2023 ) within the sectors analyzed, could have significant implications on consumer behavior.…”
Section: Discussionmentioning
confidence: 93%
“…The impact of SI may differ, depending on gender. A larger impact of SI was reported in females rather than males (Venkatesh et al, 2003;Ghalandari, 2012;Verma et al, 2021) proved that SI had bigger influence for males than female. SI's impact was analyzed by segment in the present research.…”
Section: Social Influence (Subjective Norm)mentioning
confidence: 94%