Knowledge Management in Collaborative Manufacturing Food Companies Performances: Twin Impacts of Learning and Innovation | Zendy

Hashem Salarzadeh Jenatabadi | Zendy; Che Wan Jasimah Wan Mohamed Radzi | Zendy; Suzana Ariff Azizan | Zendy; Maisarah Binti Hasbullah | Zendy; Mohd Zufri bin Mamat | Zendy; Peyman Babashamsi | Zendy

Open Access

Knowledge Management in Collaborative Manufacturing Food Companies Performances: Twin Impacts of Learning and Innovation

Author(s) -

Hashem Salarzadeh Jenatabadi,

Che Wan Jasimah Wan Mohamed Radzi,

Suzana Ariff Azizan,

Maisarah Binti Hasbullah,

Mohd Zufri bin Mamat,

Peyman Babashamsi

Publication year - 2016

Publication title -

modern applied science

Language(s) - English

Resource type - Journals

eISSN - 1913-1852

pISSN - 1913-1844

DOI - 10.5539/mas.v10n8p161

Subject(s) - moderation , mediation , structural equation modeling , linkage (software) , knowledge management , path analysis (statistics) , latent variable , business , organizational learning , industrial organization , marketing , econometrics , computer science , psychology , economics , mathematics , statistics , social psychology , artificial intelligence , biochemistry , chemistry , gene , political science , law

The purpose of this approach is to establish the twin impacts of organizational innovation (OI) with organizational learning (OL) in the relation between knowledge management (KM) and organizational performance (OP). 168 companies of manufacturing Food Company were chosen from Malaysia, Taiwan, China and path analysis is used to analyse the underlying hypotheses. The research framework under study contain four latent variables (OP; OL; KM; OI) and three observed indicators (firm type; firm size; firm age). Structural equation modelling include mediation and moderation analysis were used in this study. The obtained results support the literature regarding the relationship among these four constructs and prove that the combination of OI and OL is mediator in the linkage between KM and firm performance. Moreover, firm age, size and type are acting as moderators among the research latent variables. The introduced model can be consider as a basic framework for technology management modelling studies. Limitation and implications for future studies are discussed.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research