Organizational Learning Culture, Innovative Culture and Innovations in South Korean Firms March 23, 2010Posted by Miha Skerlavaj in innovation, journal, organizational culture, organizational learning.
Tags: culture, innovation, learning
Together with my two South Korean coleagues we have just published on-line a new journal article in Expert Systems with Applications, which is a No.1 cited journal in the SSCI category of Management science and operations research in the year 2009:
Škerlavaj, M., Song, J.H., Lee, Y. (In Press): Organizational Learning Culture, Innovative Culture and Innovations in South Korean Firms. Expert Systems with Applications, http://dx.doi.org/10.1016/j.eswa.2010.02.080
Here is the abstract:
The aim of this paper is to present and test a model of innovativeness improvement based on the impact of organizational learning culture. The concept of organizational learning culture (OLC) is presented and defined as a set of norms and values about the functioning of an organization. They should support systematic, in-depth approaches aimed at achieving higher-level organizational learning. The elements of an organizational learning process that we use are information acquisition, information interpretation, and behavioral and cognitive changes. Within the competing values framework OLC covers some aspects of all four different types of cultures: group, developmental, hierarchical, and rational. Constructs comprising innovativeness are innovative culture and innovations, which are made of technical (product and service) and administrative (process) innovations. We use data from 201 Korean companies employing more than 50 people. The impact of OLC on innovations empirically tested via structural equation modeling (SEM). The results show that OLC has a very strong positive direct effect on innovations as well as moderate positive indirect impact via innovative culture.
Expert Systems with Applications. Journal Citation Report, Impact Factor 2008: 2.596, 1/64 operations research & management science; 17/94 computer science, artificial intelligence; 33/229 engineering, electrical & electronic.