What Affects the Learning Speed of Complex Consumption Product (CCPs) Enterprises in China?

Abstract

Abstract:

This paper focuses on the technological development of Chinese complex consumption product enterprises. It takes Brilliance Auto as the sample to explore the key factors that affect the fast learning of enterprises via employing the exploratory single-case study method. The conclusion shows that borrowlism, imitative learning and cooperative learning are the foundation for the fast learning of complex consumption product enterprises in China, and learning based on different knowledge further enhances the learning speed and effectiveness of China's CCPs enterprises. Besides, different learning consists in different stages, in different forms and sequences, and in different speeds. When going through the process of technology introduction, absorption, and cooperation, in regards to the forms of core knowledge learning, it evolves from employing borrowlism, borrowlism (mainly) and imitative learning to employing borrowlism and cooperative learning(mainly). And in regards to the forms of universal knowledge learning, it evolves from employing borrowlism, borrowlism and imitative learning (mainly) to employing borrowlism (mainly) to cooperative learning. This study develops the basic understanding of organizational learning model from the perspective of knowledge, paying attention to the content and the sequences of learning, and it also proposes that different learning sequences should be adopted in learning different knowledge. In addition, different forms of learning can exist in some learning sequences and correspond to different degrees of learning at the same time. This paper has profound significance for organizational learning model development and for guiding the practice of China's complex consumption product enterprises.

Key words: complex consumption product, learning mode, knowledge theory

Zhang Linlin, Su Jingqin, Ma Wenjia. What Affects the Learning Speed of Complex Consumption Product (CCPs) Enterprises in China?[J]. , 2017, 29(11): 261-272.

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