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The consumer-adoption framework for unmanned retail: a case study of automated vending machines

Kuei Chien Chiu et al.

International Journal of Procurement Management2026https://doi.org/10.1504/ijpm.2026.152262article
AJG 1
Weight
0.50

What the paper says

This study investigates consumer behaviour in unmanned retail systems, focusing on automated vending machines. To address gaps in understanding technology adoption in these settings, the consumer-adoption framework for unmanned retail (CAFUR) is proposed, integrating dimensions like automated interaction efficiency and digital trust in retail with constructs from TAM and UTAUT. Data from 300 respondents were analysed to examine perceived value, expected effort, social influence, expected performance, and customer satisfaction. Regression analysis shows expected performance as the strongest predictor of satisfaction, followed by perceived value, social influence, and expected effort. The findings emphasise optimising system efficiency, user experience, and interface design to enhance adoption. This research bridges theoretical insights with practical applications, offering strategies for leveraging analytics, improving engagement, and addressing consumer preferences to innovate unmanned retail technologies.

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https://doi.org/https://doi.org/10.1504/ijpm.2026.152262

Or copy a formatted citation

@article{kuei2026,
  title        = {{The consumer-adoption framework for unmanned retail: a case study of automated vending machines}},
  author       = {Kuei Chien Chiu et al.},
  journal      = {International Journal of Procurement Management},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1504/ijpm.2026.152262},
}

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The consumer-adoption framework for unmanned retail: a case study of automated vending machines

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.