Understanding consumers’ continuous-use intention of crowdsourcing logistics services: Empirical evidence from China

Crowdsourcing logistics-based O2O (online to offline) has been increasingly implemented to help individuals or merchants tackle down the problem of intra city instant delivery in China. However, since insufficient control is imposed on free couriers, consumers are subjected to certain risks generate...

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Main Authors: Liu, Yu, Shang, Meng, Jia, Chunjie, Lim, Xin-Jean, Ye, Ye
Format: Article
Language:English
Published: Elsevier 2024
Online Access:http://psasir.upm.edu.my/id/eprint/112808/
http://psasir.upm.edu.my/id/eprint/112808/1/112808.pdf
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author Liu, Yu
Shang, Meng
Jia, Chunjie
Lim, Xin-Jean
Ye, Ye
author_facet Liu, Yu
Shang, Meng
Jia, Chunjie
Lim, Xin-Jean
Ye, Ye
author_sort Liu, Yu
building UPM Institutional Repository
collection Online Access
description Crowdsourcing logistics-based O2O (online to offline) has been increasingly implemented to help individuals or merchants tackle down the problem of intra city instant delivery in China. However, since insufficient control is imposed on free couriers, consumers are subjected to certain risks generated by the uneven service quality provided by free couriers, such that the continuous-use intention to adopt crowdsourcing logistics may be affected in an unexpected manner. A sampling survey was carried out in China's first- and second-tier cities, with 292 valid questionnaires collected. On that basis, the corresponding hypotheses were tested using the partial least squares (PLS) method. The findings of this study revealed that trust, perceived value, and satisfaction positively contributed to continuous-use intention, where trust contributed the most. Perceived risk exerted a significant negative effect on continuous use intention. Trust is capable of notably reducing perceived risk. Crowdsourcing logistics service quality is the critical driving variable of perceived value and satisfaction. Perceived risk has a negative moderating effect on satisfaction-continuous-use intention relationship, showing that the higher the perceived risk, the weaker the effect of satisfaction on continuous-use intention. Given perceived risk, a conceptual model was built by integrating e-CSI model (e-Customer Satisfaction Index Model) and PAM-ISC model (Post-acceptance Model of IS Continuance Model). From the integration, the findings of this study are expected to provide decision-making basis for crowdsourcing logistics platforms to help solve the “last mile” delivery problem. © 2024
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spelling upm-1128082024-11-11T03:40:49Z http://psasir.upm.edu.my/id/eprint/112808/ Understanding consumers’ continuous-use intention of crowdsourcing logistics services: Empirical evidence from China Liu, Yu Shang, Meng Jia, Chunjie Lim, Xin-Jean Ye, Ye Crowdsourcing logistics-based O2O (online to offline) has been increasingly implemented to help individuals or merchants tackle down the problem of intra city instant delivery in China. However, since insufficient control is imposed on free couriers, consumers are subjected to certain risks generated by the uneven service quality provided by free couriers, such that the continuous-use intention to adopt crowdsourcing logistics may be affected in an unexpected manner. A sampling survey was carried out in China's first- and second-tier cities, with 292 valid questionnaires collected. On that basis, the corresponding hypotheses were tested using the partial least squares (PLS) method. The findings of this study revealed that trust, perceived value, and satisfaction positively contributed to continuous-use intention, where trust contributed the most. Perceived risk exerted a significant negative effect on continuous use intention. Trust is capable of notably reducing perceived risk. Crowdsourcing logistics service quality is the critical driving variable of perceived value and satisfaction. Perceived risk has a negative moderating effect on satisfaction-continuous-use intention relationship, showing that the higher the perceived risk, the weaker the effect of satisfaction on continuous-use intention. Given perceived risk, a conceptual model was built by integrating e-CSI model (e-Customer Satisfaction Index Model) and PAM-ISC model (Post-acceptance Model of IS Continuance Model). From the integration, the findings of this study are expected to provide decision-making basis for crowdsourcing logistics platforms to help solve the “last mile” delivery problem. © 2024 Elsevier 2024 Article PeerReviewed text en cc_by_4 http://psasir.upm.edu.my/id/eprint/112808/1/112808.pdf Liu, Yu and Shang, Meng and Jia, Chunjie and Lim, Xin-Jean and Ye, Ye (2024) Understanding consumers’ continuous-use intention of crowdsourcing logistics services: Empirical evidence from China. Heliyon, 10 (8). art. no. e29819. pp. 1-15. ISSN 2405-8440 https://www.cell.com/heliyon/fulltext/S2405-8440(24)05850-X?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS240584402405850X%3Fshowall%3Dtrue 10.1016/j.heliyon.2024.e29819
spellingShingle Liu, Yu
Shang, Meng
Jia, Chunjie
Lim, Xin-Jean
Ye, Ye
Understanding consumers’ continuous-use intention of crowdsourcing logistics services: Empirical evidence from China
title Understanding consumers’ continuous-use intention of crowdsourcing logistics services: Empirical evidence from China
title_full Understanding consumers’ continuous-use intention of crowdsourcing logistics services: Empirical evidence from China
title_fullStr Understanding consumers’ continuous-use intention of crowdsourcing logistics services: Empirical evidence from China
title_full_unstemmed Understanding consumers’ continuous-use intention of crowdsourcing logistics services: Empirical evidence from China
title_short Understanding consumers’ continuous-use intention of crowdsourcing logistics services: Empirical evidence from China
title_sort understanding consumers’ continuous-use intention of crowdsourcing logistics services: empirical evidence from china
url http://psasir.upm.edu.my/id/eprint/112808/
http://psasir.upm.edu.my/id/eprint/112808/
http://psasir.upm.edu.my/id/eprint/112808/
http://psasir.upm.edu.my/id/eprint/112808/1/112808.pdf