Can competitive advantage be achieved through knowledge management? A case study on SMEs

被引:116
作者
Lee, Voon-Hsien [1 ]
Foo, Alex Tun-Lee [1 ]
Leong, Lai-Ying [1 ]
Ooi, Keng-Boon [2 ]
机构
[1] Univ Tunku Abdul Rahman, Jalan Univ, Kampar 31900, Perak, Malaysia
[2] UCSI Univ, 1 Jalan Menara Gading, Kuala Lumpur 56000, Malaysia
关键词
Knowledge management; Technological innovation; Competitive advantage; Artificial neural network; SMEs; FIRM INNOVATION CAPABILITY; NEURAL NETWORK APPROACH; MOBILE CREDIT CARD; ORGANIZATIONAL PERFORMANCE; BEHAVIORAL INTENTION; DYNAMIC CAPABILITIES; RADICAL INNOVATION; BIG DATA; DETERMINANTS; PRODUCT;
D O I
10.1016/j.eswa.2016.08.042
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Unlike most Knowledge Management (KM) studies which focus on large enterprises, this study focuses on SMEs in Malaysia which represent 99.2% of the total business establishments, the largest percentage of establishments in the country. The tridimensional relationship between KM practices, technological innovation (TI) and competitive advantage (CA) was examined in this case study. Survey approach was conducted to gather data from managers of the manufacturing SMEs and 195 samples were usable for statistical analysis using Partial-Least-Square Structural Equation Modeling (PLS-SEM)-Artificial Neural Network (ANN). The use of the combined PLS-SEM and ANN analysis can provide a significant methodological contribution and substantial impacts to the world of expert and intelligent systems and could be the next methodological research paradigm. Findings validated that KM has a direct positive and significant relation with both TI and CA; while TI positively and significantly affects CA. Most outstandingly, the mediating role of TI that connects KM and CA has been proven to be positive and significant. This paper utilizes samples that were collected from Malaysian SMEs only; therefore the findings cannot be generalized to represent the larger firms. Nevertheless, conclusions garnered from the present research can help both practitioners of the manufacturing SMEs and scholars in implementing the correct KM strategies, so that both TI and CA can be enhanced and improved. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:136 / 151
页数:16
相关论文
共 107 条
[51]   Designing a neural network for forecasting financial and economic time series [J].
Kaastra, I ;
Boyd, M .
NEUROCOMPUTING, 1996, 10 (03) :215-236
[52]   Measuring organizational knowledge: A conceptual and methodological framework [J].
King, AW ;
Zeithaml, CP .
STRATEGIC MANAGEMENT JOURNAL, 2003, 24 (08) :763-772
[53]   Firm-internal knowledge integration and the effects on innovation [J].
Koch, Anne .
JOURNAL OF KNOWLEDGE MANAGEMENT, 2011, 15 (06) :984-996
[54]   The Effects of Knowledge Management and Technology Innovation on New Product Development Performance -An Empirical Study of Taiwanese Machine Tools Industry [J].
Lai, Yung-Lung ;
Lin, Feng-Jyh .
ASIA PACIFIC BUSINESS INNOVATION AND TECHNOLOGY MANAGEMENT SOCIETY, 2012, 40 :157-164
[55]  
Lai-Ping Leong, 2012, International Journal of Services, Economics and Management, V4, P209, DOI 10.1504/IJSEM.2012.048620
[56]   Knowledge management: a key determinant in advancing technological innovation? [J].
Lee, Voon-Hsien ;
Leong, Lai-Ying ;
Hew, Teck-Soon ;
Ooi, Keng-Boon .
JOURNAL OF KNOWLEDGE MANAGEMENT, 2013, 17 (06) :848-872
[57]   An SEM-artificial-neural-network analysis of the relationships between SERVPERF, customer satisfaction and loyalty among low-cost and full-service airline [J].
Leong, Lai-Ying ;
Hew, Teck-Soon ;
Lee, Voon-Hsien ;
Ooi, Keng-Boon .
EXPERT SYSTEMS WITH APPLICATIONS, 2015, 42 (19) :6620-6634
[58]   Predicting the determinants of the NFC-enabled mobile credit card acceptance: A neural networks approach [J].
Leong, Lai-Ying ;
Hew, Teck-Soon ;
Tan, Garry Wei-Han ;
Ooi, Keng-Boon .
EXPERT SYSTEMS WITH APPLICATIONS, 2013, 40 (14) :5604-5620
[60]  
Ling T.C., 2010, Journal of Applied Business Research, V26, P105, DOI DOI 10.19030/JABR.V26I4.311