Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/29728
DC FieldValueLanguage
dc.contributorDepartment of Industrial and Systems Engineering-
dc.creatorChong, AYL-
dc.creatorChan, FTS-
dc.creatorGoh, M-
dc.creatorTiwari, MK-
dc.date.accessioned2015-05-26T08:12:34Z-
dc.date.available2015-05-26T08:12:34Z-
dc.identifier.issn0020-7543-
dc.identifier.urihttp://hdl.handle.net/10397/29728-
dc.language.isoenen_US
dc.publisherTaylor & Francisen_US
dc.subjectcollaborative commerceen_US
dc.subjectinterorganisational relationshipsen_US
dc.subjectknowledge managementen_US
dc.subjectneural networken_US
dc.subjecttechnology adoptionen_US
dc.titleDo interorganisational relationships and knowledge-management practices enhance collaborative commerce adoption?en_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage2006-
dc.identifier.epage2018-
dc.identifier.volume51-
dc.identifier.issue7-
dc.identifier.doi10.1080/00207543.2012.701776-
dcterms.abstractThis 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.-
dcterms.bibliographicCitationInternational journal of production research, 2013, v. 51, no. 7, p. 2006-2018-
dcterms.isPartOfInternational journal of production research-
dcterms.issued2013-
dc.identifier.isiWOS:000319173300006-
dc.identifier.scopus2-s2.0-84873482237-
dc.identifier.eissn1366-588X-
dc.identifier.rosgroupidr63892-
dc.description.ros2012-2013 > Academic research: refereed > Publication in refereed journal-
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