The purpose of this study was to develop and apply a knowledge value chain (KVC) model. The model is based on Drucker's next society, Porter's value chain, Nonaka's spiral of knowledge, Kaplan and Norton's balanced scorecard, Gardner's multiple intelligences, and Pareto's 80/20 rule. An optimization technique is included in the model to identify the nodes (individual employees or groups of employees) of the critical value chain (CVC) and optimum value chain (OVC). The KVC model includes a business phase and a numerical phase composed of input knowledge, knowledge activities, and output goals. The input knowledge can come from intranet, extranet, and Internet channels and can be tacit and explicit. Whatever the source, input knowledge will converge toward an enterprise information portal (EIP). The value- added knowledge activities are based on socialization, externalization, combination, and internalization of knowledge. The knowledge value chain can be determined from output goals based on selected multiple values.

We applied the KVC model when analyzing employee value contributions at K Company in Taiwan. We selected five values (goals): customer, financial, learning and growth, internal business process, and innovation. The results of our application of the KVC model offered three key findings. First, the strengths and weaknesses of each employee's core competence were examined. Second, the critical nodes (winners' nodes or those of high-performance employees) for each goal were detected, and the selected critical nodes were gathered together to share their best practices. Third, optimum goals to reach the maximum value contribution to K Company were calculated.

You can access this article if you purchase or spend a download.