{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T02:47:46Z","timestamp":1773456466858,"version":"3.50.1"},"reference-count":95,"publisher":"Emerald","issue":"9","license":[{"start":{"date-parts":[[2014,10,7]],"date-time":"2014-10-07T00:00:00Z","timestamp":1412640000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,10,7]]},"abstract":"\n Purpose<\/jats:title>\n \u2013 Based on the knowledge management (KM) perspective, innovation diffusion theory and technology-organization-environment framework, the purpose of this paper is to develop a research model to investigate the influence of technological (information technology (IT) support and IT effectiveness), organizational (top management support, sharing culture, and reward system) and environmental (competitive pressure) contexts on the two-stage KM diffusion (KM adoption and implementation) in small and medium enterprises (SMEs). <\/jats:p>\n <\/jats:sec>\n \n Design\/methodology\/approach<\/jats:title>\n \u2013 Data gathered from 119 SME senior managers (including owner, vice president, and business manager) in Taiwan were employed to test the relationships between the research model constructs using the partial least squares approach. <\/jats:p>\n <\/jats:sec>\n \n Findings<\/jats:title>\n \u2013 The results showed that technological, organizational, and environmental factors have different effects on KM adoption and implementation stages. Specially, IT support has the strongest effect on KM adoption stage, while sharing culture has the strongest effect on KM implementation stage. <\/jats:p>\n <\/jats:sec>\n \n Practical implications<\/jats:title>\n \u2013 IT support continues to be positively related to the level of KM implementation after adoption. KM diffusion requires managers to invest time and effort to link specific IT support and knowledge-based work activities, since effective IT deployment for KM can help SMEs move toward a knowledge society, which is vital in the contemporary knowledge economy. <\/jats:p>\n <\/jats:sec>\n \n Originality\/value<\/jats:title>\n \u2013 Theoretically, the findings of this study contribute to empirical research on contextual factors that influence KM diffusion using a broad data set rather than a few isolated SME cases. From the managerial perspective, given the importance of KM diffusion in modern SMEs and also in the future, the findings of this study are designed to enable owner-managers and practitioners to understand how SMEs KM diffusion is influenced by contextual factors, and how the effects may vary across different stages.<\/jats:p>\n <\/jats:sec>","DOI":"10.1108\/imds-08-2014-0232","type":"journal-article","created":{"date-parts":[[2014,10,20]],"date-time":"2014-10-20T06:40:28Z","timestamp":1413787228000},"page":"1415-1437","source":"Crossref","is-referenced-by-count":49,"title":["Contextual factors affecting knowledge management diffusion in SMEs"],"prefix":"10.1108","volume":"114","author":[{"given":"Hsiu-Fen","family":"Lin","sequence":"first","affiliation":[]}],"member":"140","reference":[{"key":"key2020122820371588200_b1","doi-asserted-by":"crossref","unstructured":"Ahire, S.L.\n and \n Ravichandran, T.\n (2001), \u201cAn innovation diffusion model of TQM implementation\u201d, IEEE Transactions on Engineering Management, Vol. 48 No. 4, pp. 445-464.","DOI":"10.1109\/17.969423"},{"key":"key2020122820371588200_b2","doi-asserted-by":"crossref","unstructured":"Al-Alawi, A.I.\n , \n Al-Marzooqi, N.Y.\n and \n Mohammed, Y.F.\n (2007), \u201cOrganizational culture and knowledge sharing: critical success factors\u201d, Journal of Knowledge Management, Vol. 11 No. 2, pp. 22-42.","DOI":"10.1108\/13673270710738898"},{"key":"key2020122820371588200_b3","doi-asserted-by":"crossref","unstructured":"Alam, S.S.\n , \n Abdullanh, Z.\n , \n Ishak, N.A.\n and \n Zain, Z.M.\n (2009), \u201cAssessing knowledge sharing behavior among employees in SMEs: an empirical study\u201d, International Business Research, Vol. 2 No. 2, pp. 115-122.","DOI":"10.5539\/ibr.v2n2p115"},{"key":"key2020122820371588200_b4","doi-asserted-by":"crossref","unstructured":"Alegre, J.\n , \n Sengupta, K.\n and \n Lapiedra, R.\n (2013), \u201cKnowledge management and innovation performance in a high-tech SMEs industry\u201d, International Small Business Journal, Vol. 31 No. 4, pp. 454-470.","DOI":"10.1177\/0266242611417472"},{"key":"key2020122820371588200_b5","doi-asserted-by":"crossref","unstructured":"Cantu, L.Z.\n , \n Criado, J.R.\n and \n Criado, A.R.\n (2009), \u201cGeneration and transfer of knowledge in IT-related SMEs\u201d, Journal of Knowledge Management, Vol. 13 No. 5, pp. 243-256.","DOI":"10.1108\/13673270910988088"},{"key":"key2020122820371588200_b6","doi-asserted-by":"crossref","unstructured":"Carlo, J.L.\n , \n Lyytinen, K.\n and \n Rose, G.M.\n (2012), \u201cA knowledge-based model of radical innovation in small software firms\u201d, MIS Quarterly, Vol. 36 No. 3, pp. 865-895.","DOI":"10.2307\/41703484"},{"key":"key2020122820371588200_b7","doi-asserted-by":"crossref","unstructured":"Chan, I.\n and \n Chao, C.K.\n (2008), \u201cKnowledge management in small and medium-sized enterprises\u201d, Communications of the ACM, Vol. 51 No. 4, pp. 83-88.","DOI":"10.1145\/1330311.1330328"},{"key":"key2020122820371588200_b8","unstructured":"Chawan, A.N.\n and \n Vasudevan, H.\n (2013), \u201cModeling knowledge management barriers in the Indian manufacturing SMEs using ISM approach\u201d, The IUP Journal of Knowledge Management, Vol. 4 No. 4, pp. 36-52."},{"key":"key2020122820371588200_b9","doi-asserted-by":"crossref","unstructured":"Chin, W.W.\n , \n Marcolin, B.\n and \n Newsted, P.\n (2003), \u201cA partial least squares latent variable modeling approach for measuring interaction effects: results from a monte carlo simulation study and an electronic-mail emotion\/adoption study\u201d, Information Systems Research, Vol. 14 No. 2, pp. 189-217.","DOI":"10.1287\/isre.14.2.189.16018"},{"key":"key2020122820371588200_b10","doi-asserted-by":"crossref","unstructured":"Choi, B.\n and \n Lee, H.\n (2003), \u201cAn empirical investigation of KM styles and their effect on corporate performance\u201d, Information and Management, Vol. 40 No. 5, pp. 403-417.","DOI":"10.1016\/S0378-7206(02)00060-5"},{"key":"key2020122820371588200_b11","doi-asserted-by":"crossref","unstructured":"Chong, A.Y.L.\n , \n Ooi, K.B.\n , \n Bao, H.\n and \n Lin, B.\n (2014), \u201cCan e-business adoption be influenced by knowledge management? 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