Please use this identifier to cite or link to this item: https://doi.org/10.1080/00207543.2012.701776
Title: Do interorganisational relationships and knowledge-management practices enhance collaborative commerce adoption?
Authors: Chong, A.Y.-L.
Chan, F.T.S.
Goh, M. 
Tiwari, M.K.
Keywords: collaborative commerce
interorganisational relationships
knowledge management
neural network
technology adoption
Issue Date: 2013
Source: Chong, A.Y.-L.,Chan, F.T.S.,Goh, M.,Tiwari, M.K. (2013). Do interorganisational relationships and knowledge-management practices enhance collaborative commerce adoption?. International Journal of Production Research 51 (7) : 2006-2018. ScholarBank@NUS Repository. https://doi.org/10.1080/00207543.2012.701776
Abstract: 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. © 2013 Taylor & Francis Group, LLC.
Source Title: International Journal of Production Research
URI: http://scholarbank.nus.edu.sg/handle/10635/43986
ISSN: 00207543
DOI: 10.1080/00207543.2012.701776
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