The role of acquaintances' characteristics in shaping digital payment technology

• Study examines how acquaintance characteristics shape PayTech usage intensity. • Education, income, and employment among acquaintances boost P2P usage intensity. • Social networks’ role is stronger in socially driven methods - P2P. This study examines how acquaintances (friends, family, and close associates) characteristics (education, employment status, and income) shape the intensity of digital payment technology (PayTech) usage. Using data from The Netherlands and a Seemingly Unrelated Regression Equation model, the results reveal that higher education, employment, and income among acquaintances significantly influence individuals’ usage intensity of peer-to-peer ( P2P) , contactless, and mobile payment systems. P2P payments are particularly impacted (potentially because of their social orientation) with higher education and income among acquaintances encouraging their use. These findings reflect the essential influence of social networks on driving PayTech usage intensity.

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Institutions

Publication Details

Journal
Finance research letters
Published
2025-02-13
DOI
https://doi.org/10.1016/j.frl.2025.106976
Citations
5
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
20.84
Controls
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article

The role of acquaintances' characteristics in shaping digital payment technology

Chimwemwe Chipeta, Yudhvir Seetharam, Kingstone Nyakurukwa
5 citations
Finance research letters
Technology Adoption and User Behaviour
20.84
article

The role of acquaintances' characteristics in shaping digital payment technology

Chimwemwe Chipeta, Yudhvir Seetharam, Kingstone Nyakurukwa
article en
5 citations

Abstract

• Study examines how acquaintance characteristics shape PayTech usage intensity. • Education, income, and employment among acquaintances boost P2P usage intensity. • Social networks’ role is stronger in socially driven methods - P2P. This study examines how acquaintances (friends, family, and close associates) characteristics (education, employment status, and income) shape the intensity of digital payment technology (PayTech) usage. Using data from The Netherlands and a Seemingly Unrelated Regression Equation model, the results reveal that higher education, employment, and income among acquaintances significantly influence individuals’ usage intensity of peer-to-peer ( P2P) , contactless, and mobile payment systems. P2P payments are particularly impacted (potentially because of their social orientation) with higher education and income among acquaintances encouraging their use. These findings reflect the essential influence of social networks on driving PayTech usage intensity.

Finance research lettersVol. 76
University of the Witwatersrand (ZA)
Decent work and economic growth
Openalex Percentile: Top 1%
Technology Adoption and User Behaviour
20.84
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