TY - JOUR
T1 - The evolution of knowledge navigator model
T2 - The construction and application of KNM 2.0
AU - Hsieh, Ping Jung
AU - Lin, Chinho
AU - Chang, Shofang
N1 - Funding Information:
This work was supported by Industrial Development Bureau, Ministry of Economic Affairs (IDB) in Taiwan. We special thanks participating KM academics, government officers in IDB, the consultants in China Productivity Center (CPC) and other consulting companies, and the representatives in case companies for being the domain experts of the study and their constructive contribution, which led to noticeably improved exposition of the research.
Publisher Copyright:
© 2020
PY - 2020/6/15
Y1 - 2020/6/15
N2 - The knowledge management (KM) maturity model provides a framework against which both old and new KM initiatives can be assessed to determine whether they are capable of generating new knowledge. Knowledge Navigator Model (KNM) proposed in 2009 (Hsieh et al., 2009) has been promoted in Taiwan to assist organizations to evaluate their KM status, and also aided to be a diffusion platform for government, academic and practice to exchange their KM experience. However, for the past 10 years, the industrial environment has been constantly changing that has brought the developing of KM practice. This study described the evolution of KNM to become KNM 2.0 in terms of construction and application. Qualitative and quantitative research methods were conducted to construct the proposed three modules of KNM 2.0. A 139 cases survey was employed and the results reveal the applicability of KNM 2.0. Our research contributes to the body of concepts on KM maturity models that could evaluate the readiness of service-oriented knowledge economy, big data and smart factory, and strategic KM performance. The proposed KNM 2.0, with these features which are novel and rapidly expanding fields, has been developed as an online Knowledge Management Evaluation (KM evaluation) website available for the practice to use to better understand their overall value brought by contemporary KM. Moving forward, by using KNM 2.0 to continually collect the data from the industries in Taiwan, it is expected to obtain more information about the practical KM that keeps developing with the trends, and also keep playing the role to distribute the contemporary concepts of KM. The KM experience could be referenced and the methodology could be applied to other countries.
AB - The knowledge management (KM) maturity model provides a framework against which both old and new KM initiatives can be assessed to determine whether they are capable of generating new knowledge. Knowledge Navigator Model (KNM) proposed in 2009 (Hsieh et al., 2009) has been promoted in Taiwan to assist organizations to evaluate their KM status, and also aided to be a diffusion platform for government, academic and practice to exchange their KM experience. However, for the past 10 years, the industrial environment has been constantly changing that has brought the developing of KM practice. This study described the evolution of KNM to become KNM 2.0 in terms of construction and application. Qualitative and quantitative research methods were conducted to construct the proposed three modules of KNM 2.0. A 139 cases survey was employed and the results reveal the applicability of KNM 2.0. Our research contributes to the body of concepts on KM maturity models that could evaluate the readiness of service-oriented knowledge economy, big data and smart factory, and strategic KM performance. The proposed KNM 2.0, with these features which are novel and rapidly expanding fields, has been developed as an online Knowledge Management Evaluation (KM evaluation) website available for the practice to use to better understand their overall value brought by contemporary KM. Moving forward, by using KNM 2.0 to continually collect the data from the industries in Taiwan, it is expected to obtain more information about the practical KM that keeps developing with the trends, and also keep playing the role to distribute the contemporary concepts of KM. The KM experience could be referenced and the methodology could be applied to other countries.
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U2 - 10.1016/j.eswa.2020.113209
DO - 10.1016/j.eswa.2020.113209
M3 - Article
AN - SCOPUS:85078982329
SN - 0957-4174
VL - 148
JO - Expert Systems With Applications
JF - Expert Systems With Applications
M1 - 113209
ER -