Crowd Logistics Platform’s Informative Support to Logistics Performance: Scale Development and Empirical Examination

Mingyu Zhang, Yuhuan Xia, Shuang Li, Wenbing Wu and Shuxiang Wang
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Mingyu Zhang: School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China
Yuhuan Xia: School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China
Shuang Li: School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China
Wenbing Wu: School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China
Shuxiang Wang: School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China

Sustainability, 2019, vol. 11, issue 2, 1-19

Abstract: Using the organization information processing theory, we explored the process through which the informative support of crowd logistics platforms affects logistics performance. After collecting data from 321 respondents from two crowd logistics companies in China, we proposed and tested the theoretical framework empirically using SEM. To conduct the empirical study, we developed scales for platform’s informative support and the degree of logistics resources-demand match, respectively. The results indicate that a platform’s informative support improves logistics performance via two mediators, i.e., logistics resources-demand match and logistics agility. Moreover, a platform’s ease of use moderates the indirect process through which its informative support promotes logistics performance via logistics resources-demand match. However, a platform’s ease of use has no significant effect on the indirect process of its informative support affecting logistics performance via logistics agility. This paper extends our understanding on how the informative support of crowd logistics platforms predicts logistics performance.

Keywords: crowd logistics platforms; informative support; logistics performance; scale development (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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