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Analyzing contextual antecedents for the stage-based diffusion of electronic supply chain management

机译：分析用于电子供应链管理的基于阶段的扩散的上下文前提

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This paper proposes a theoretical model for understanding the fundamentals of the diffusion of electronic supply chain management with multiple stages among trading partners. It also provides an empirical analysis of a framework that helps us to gauge the practical validity of our approach. We considered two control variables, industry type and firm size, and their effects on e-SCM diffusion. We developed our measurement approach on the basis of existing theory. We gathered data using a structured questionnaire that was administered through e-mail. The findings that we obtained reveal that the attributes for technological and collaborative structures have different impacts on the three diffusion stages. Overall, technological structure is a more important indicator for the adoption stage, while collaborative structure is more important in the assimilation stage. This is because the focus of innovation diffusion at the earlier stages is on the improvement of perceived usefulness, ease of use, and information security. Innovation diffusion at the later stages mainly lies in building good cooperative relationships among trading partners to facilitate their transactions. Industry type and firm size are correlated to different degrees with the attributes of technological and collaborative structures, and with the different diffusion stages.
机译：本文提出了一个理论模型，用于理解贸易伙伴之间具有多个阶段的电子供应链管理扩散的基础。它还提供了对框架的实证分析，可帮助我们评估方法的实际有效性。我们考虑了两个控制变量，行业类型和公司规模，以及它们对e-SCM扩散的影响。我们在现有理论的基础上开发了测量方法。我们使用通过电子邮件管理的结构化问卷收集数据。我们获得的发现表明，技术和协作结构的属性对三个扩散阶段有不同的影响。总体而言，技术结构是采用阶段更重要的指标，而协作结构在吸收阶段更重要。这是因为在早期阶段，创新传播的重点是提高感知的实用性，易用性和信息安全性。后期的创新传播主要在于在贸易伙伴之间建立良好的合作关系以促进其交易。行业类型和公司规模与技术和协作结构的属性以及不同的扩散阶段在不同程度上相关。

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