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dc.contributor.authorDu Plessis, Andries
dc.date.accessioned2016-10-20T00:04:25Z
dc.date.available2016-10-20T00:04:25Z
dc.date.issued2016-08
dc.identifier.issn1849-5419
dc.identifier.issn1849-5664
dc.identifier.urihttps://hdl.handle.net/10652/3584
dc.description.abstractThe purpose of this study was to investigate whether knowledge management under its three dimensions of knowledge acquisition, knowledge sharing and responsiveness to knowledge lead to innovation in Rwandan SMEs. The study adopted a cross-sectional survey design to collect data used to examine that relationship. The results revealed that only knowledge sharing was found positive and significant predictor of innovation. This implies that effective knowledge management through knowledge sharing may lead to innovation.This study used a cross-sectional research design combined with a quantitative research approach. Future researchers could employ a longitudinal method to investigate any possibility of variations in the results. Qualitative studies could equally be used to supplement the quantitative findings. Lastly, this study focused on manufacturing SMEs only. Future research might focus on other types of businesses. Owners-managers of SMEs may sustain their competitive position and survive longer when knowledge is effectively and efficiently shared in order to increase their innovation capability. The study generated empirical evidence on less studied phenomena in the SMEs sector. The evidence highlighted the powerful influence of knowledge sharing in predicting innovation in SMEs.en_NZ
dc.language.isoenen_NZ
dc.publisherInovatus Usluge Ltd.en_NZ
dc.relation.urihttp://dx.doi.org/10.18775/ijmsba.1849-5664-5419.2014.29.1003en_NZ
dc.subjectsmall and medium-sized enterprises (SMEs)en_NZ
dc.subjectsuggestion systemsen_NZ
dc.subjectrewardsen_NZ
dc.subjectfeedbacken_NZ
dc.subjectemployeesen_NZ
dc.subjectRwandaen_NZ
dc.subjectinnovationen_NZ
dc.subjectknowledge sharingen_NZ
dc.subjectNew Zealanden_NZ
dc.titleSuggestion system as an HRM tool to be successful in organisations : some empirical evidence in New Zealanden_NZ
dc.typeJournal Articleen_NZ
dc.rights.holderAuthoren_NZ
dc.identifier.doiDOI: 10.18775/ijmsba.1849-5664-5419.2014.29.1003en_NZ
dc.subject.marsden150305 Human Resources Managementen_NZ
dc.identifier.bibliographicCitationDu Plessis, A.J. (2016). Suggestion system as an HRM tool to be successful in organisations: some empirical evidence in New Zealand. International Journal of Management Science and Business Administration, 2(9), pp.7-19. doi:DOI: 10.18775/ijmsba.1849-5664-5419.2014.29.1003 URL: http://dx.doi.org/10.18775/ijmsba.1849-5664-5419.2014.29.1003en_NZ
unitec.institutionUnitec Institute of Technologyen_NZ
unitec.publication.spage7en_NZ
unitec.publication.lpage19en_NZ
unitec.publication.volume2(9)en_NZ
unitec.publication.titleInternational Journal of Management Science and Business Administrationen_NZ
unitec.peerreviewedyesen_NZ
unitec.identifier.roms59424en_NZ
unitec.institution.studyareaManagement and Marketing


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