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Modeling Mobile Commerce Applications’ Antecedents of Customer Satisfaction among Millennials: An Extended TAM Perspective
by
Ngubelanga, Atandile
, Duffett, Rodney
in
Acceptance testing
/ COVID-19
/ Customer satisfaction
/ Developing countries
/ Echo boom generation
/ Electronic commerce
/ LDCs
/ Mobile commerce
/ Smartphones
/ Sustainability
/ Target marketing
/ Testing
2021
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Modeling Mobile Commerce Applications’ Antecedents of Customer Satisfaction among Millennials: An Extended TAM Perspective
by
Ngubelanga, Atandile
, Duffett, Rodney
in
Acceptance testing
/ COVID-19
/ Customer satisfaction
/ Developing countries
/ Echo boom generation
/ Electronic commerce
/ LDCs
/ Mobile commerce
/ Smartphones
/ Sustainability
/ Target marketing
/ Testing
2021
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Do you wish to request the book?
Modeling Mobile Commerce Applications’ Antecedents of Customer Satisfaction among Millennials: An Extended TAM Perspective
by
Ngubelanga, Atandile
, Duffett, Rodney
in
Acceptance testing
/ COVID-19
/ Customer satisfaction
/ Developing countries
/ Echo boom generation
/ Electronic commerce
/ LDCs
/ Mobile commerce
/ Smartphones
/ Sustainability
/ Target marketing
/ Testing
2021
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Modeling Mobile Commerce Applications’ Antecedents of Customer Satisfaction among Millennials: An Extended TAM Perspective
Journal Article
Modeling Mobile Commerce Applications’ Antecedents of Customer Satisfaction among Millennials: An Extended TAM Perspective
2021
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Overview
The continued growth for both smartphone usage and mobile applications (apps) innovations has resulted in businesses realizing the potential of this growth in usage. Hence, the study investigates the antecedents of customer satisfaction due the usage of mobile commerce (m-commerce) applications (MCA) by Millennial consumers in South Africa. The conceptual model antecedents were derived from the extended Technology Acceptance Model (TAM). The research made use of self-administered questionnaires to take a cross section of Millennial MCA users in South Africa. The sample comprised of nearly 5500 respondents and the data was analyzed via structural equation and generalized linear modeling. The results revealed that trust, social influence, and innovativeness positively influenced perceived usefulness; perceived enjoyment, mobility, and involvement positively influenced perceived ease of use; and perceived usefulness and perceived ease of use were positive antecedents of customer satisfaction. Several usage and demographic characteristics were also found to have a positive effect on customer satisfaction. It is important for businesses to improve customer experience and satisfaction via MCA to facilitate a positive satisfaction and social influence among young technologically savvy consumers.
Publisher
MDPI AG
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