Please use this identifier to cite or link to this item:
https://doi.org/10.1080/00207543.2012.701776
DC Field | Value | |
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dc.title | Do interorganisational relationships and knowledge-management practices enhance collaborative commerce adoption? | |
dc.contributor.author | Chong, A.Y.-L. | |
dc.contributor.author | Chan, F.T.S. | |
dc.contributor.author | Goh, M. | |
dc.contributor.author | Tiwari, M.K. | |
dc.date.accessioned | 2013-10-09T03:23:56Z | |
dc.date.available | 2013-10-09T03:23:56Z | |
dc.date.issued | 2013 | |
dc.identifier.citation | 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 | |
dc.identifier.issn | 00207543 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/43986 | |
dc.description.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. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1080/00207543.2012.701776 | |
dc.source | Scopus | |
dc.subject | collaborative commerce | |
dc.subject | interorganisational relationships | |
dc.subject | knowledge management | |
dc.subject | neural network | |
dc.subject | technology adoption | |
dc.type | Article | |
dc.contributor.department | DECISION SCIENCES | |
dc.description.doi | 10.1080/00207543.2012.701776 | |
dc.description.sourcetitle | International Journal of Production Research | |
dc.description.volume | 51 | |
dc.description.issue | 7 | |
dc.description.page | 2006-2018 | |
dc.description.coden | IJPRB | |
dc.identifier.isiut | 000328322700006 | |
Appears in Collections: | Staff Publications |
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