Determinants of consumer intention to adopt a self-service technology strategy for last-mile delivery in Guangzhou, China

Song Liu; Gusong Luo; Yonglong Cai; Wenjie Wu; Weitao Liu; Rong Zou; Wenxuan Tan; Song Liu; Gusong Luo; Yonglong Cai; Wenjie Wu; Weitao Liu; Rong Zou; Wenxuan Tan

doi:10.3934/mbe.2024144

Mathematical Biosciences and Engineering

2024, Volume 21, Issue 2: 3262-3280. doi: 10.3934/mbe.2024144

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Determinants of consumer intention to adopt a self-service technology strategy for last-mile delivery in Guangzhou, China

1.
School of Economics, Jinan University, Guangzhou 510630, China
2.
Guangzhou Academy of Social Sciences, Guangzhou 510410, China
3.
School of Geography & Environmental Science, Guizhou Normal University, Huaxi Universities Town, Guian New Area 550003, China
4.
School of urban design, Wuhan University, Wuhan 430072, China

Academic Editor: Giuseppe Aiello

Received: 10 October 2023 Revised: 11 January 2024 Accepted: 25 January 2024 Published: 02 February 2024

Self-service technology (SST) is a logistic innovation in e-commerce that enhances last-mile delivery efficiency in supply chain management. By combining Innovation Diffusion Theory with Resource Matching Theory, we proposed a comprehensive framework to explain the relationships between beliefs, attitude, and intention in Guanzhou, China. The findings revealed that attitude played a crucial role in influencing consumer intention to adopt SST and that attitude has direct and indirect effects. Additionally, consumer perceptions of compatibility, relative advantage, reliability, and complexity indirectly affected their adoption intention through attitude. These factors had positive and negative effects. The results highlighted the importance of attitudes as immediate predictors of intention, as consumer attitudes (favorable and unfavorable) were shaped by their perceptions. We conclude by recommending strategies to promote positive attitudes toward SST and enhance safety, efficiency, and the overall user experience.
- last-mile logistics,
- self-service technology,
- automated parcel stations,
- consumer adoption behavior
Citation: Song Liu, Gusong Luo, Yonglong Cai, Wenjie Wu, Weitao Liu, Rong Zou, Wenxuan Tan. Determinants of consumer intention to adopt a self-service technology strategy for last-mile delivery in Guangzhou, China[J]. Mathematical Biosciences and Engineering, 2024, 21(2): 3262-3280. doi: 10.3934/mbe.2024144

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Abstract

Self-service technology (SST) is a logistic innovation in e-commerce that enhances last-mile delivery efficiency in supply chain management. By combining Innovation Diffusion Theory with Resource Matching Theory, we proposed a comprehensive framework to explain the relationships between beliefs, attitude, and intention in Guanzhou, China. The findings revealed that attitude played a crucial role in influencing consumer intention to adopt SST and that attitude has direct and indirect effects. Additionally, consumer perceptions of compatibility, relative advantage, reliability, and complexity indirectly affected their adoption intention through attitude. These factors had positive and negative effects. The results highlighted the importance of attitudes as immediate predictors of intention, as consumer attitudes (favorable and unfavorable) were shaped by their perceptions. We conclude by recommending strategies to promote positive attitudes toward SST and enhance safety, efficiency, and the overall user experience.

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