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

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.

Toward a Component-Based Design Framework of the International Information Technology Standardization Process

This article is about a proposal to develop a component-based design (CBD) framework of the international information technology standardization (IITS) process. This process is criticized widely in information systems (IS) literatures for its complexity as a barrier to successful project development. These criticisms have not challenged this process itself or accede to proactive action toward positive changes. We stress the importance of reconstructing this process within a CBD framework, not only to reduce sources of complexity but also to give special prominence of project development. Primarily, our qualitative empirical case study of five projects is grounded in the organization information processing theory (OIPT) as a lens. Theorizing from the qualitative empirical evidence we define the IITS process, followed by its inductive analysis guided by OIPT as a lens through three levels: its environment, content and performance. Through this lens we articulate assumptions about IITS process complexity. From rich descriptions of this process, we combine selected dimensions of CBD and OIPT as a lens to develop the theoretical depth of concepts that add detail to our CBD framework. One implication for practice of this framework is for provisioning incisive IITS process change strategies drawing upon its dominating qualities. This article makes three contributions to the IS field: this CBD framework is a key contribution. We bridge the gap in knowledge by defining the IITS process, explicating its complexity toward proactive action. By using OIPT as a lens we extend its application.