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Do interorganisational relationships and knowledge-management practices enhance collaborative commerce adoption?

机译:组织间的关系和知识管理实践是否会促进协作商务的采用?

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This research aims to investigate the contributions of interorganisational relationships and knowledge-management practices as predictors of collaborative commerce (c-commerce) adoption. A non-compensatory adoption decision process was modelled using a neural network approach to examine the predictors of c-commerce adoption. A survey was undertaken in 136 firms for this research. The results showed that both interorganisational relationships and knowledge-management processes played an important role in predicting the adoption of c-commerce. In particular, variables from interorganisational relationships such as trust, communication, collaboration, and information sharing are found to contribute strongly to the predictive power of the model when compared with knowledge-management processes. This study provides insights for firms that would like to improve their supply-chain collaboration through the implementation of c-commerce. The findings lead to an understanding of what attributes of interorganisational relationships and knowledge-management processes can contribute to the improved adoption of c-commerce in the supply chain. Unlike past adoption studies which have tended to focus on technology, and organisational and environmental factors, this research examined interorganisational relationships and knowledge-management processes which are increasingly gaining the attention of researchers and practitioners. This study has also extended the existing literature by examining a non-compensatory model for technology adoption.
机译:这项研究旨在调查组织间关系和知识管理实践对协同商务(c-commerce)采用率的预测的贡献。使用神经网络方法对非补偿采用决策过程进行建模,以检查c商务采用的预测因素。这项研究在136家公司中进行了调查。结果表明,组织间的关系和知识管理过程在预测电子商务的采用方面都起着重要作用。特别是,与知识管理过程相比,发现来自组织间关系(例如信任,沟通,协作和信息共享)的变量对模型的预测能力有很大的贡献。这项研究为希望通过实施c-commerce改善供应链协作的公司提供了见解。研究结果使人们了解了组织间关系和知识管理流程的哪些属性可以有助于在供应链中更好地采用电子商务。与过去的采用研究倾向于关注技术,组织和环境因素不同,本研究研究了组织间的关系和知识管理过程,这些研究正越来越引起研究人员和从业者的关注。通过研究非补偿性技术采用模型,本研究还扩展了现有文献。

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