Purpose – Acquiring of new knowledge is the core process not only in academic, but in entrepreneurial organizations as well. Information technology (IT) offers tools and resources for providing a knowledge acquisition continuum between them. Academic knowledge can be improved with best practice examples from enterprises, while entrepreneurial staff can keep pace with new academic knowledge within the lifelong learning paradigm. Open knowledge resources publicly available on the web play a pivotal role in this approach. In addition to that, Human language technology (HLT) has developed electronic tools and resources for supporting multilingualism in knowledge acquisition. The purpose of this paper is to offer an approach to quality assurance within a multilingual IT supported learning environment. Design/methodology/approach – Following the ‘Case study’ methodology, we used an ongoing project, BAEKTEL (Blending academic and entrepreneurial knowledge in technology enhanced learning) as a ‘polar type’ for the research. The project is aimed at developing a network, and its technology infrastructure, for collecting and sharing open access knowledge assets among various types of institutions, both academic and entrepreneurial, in different countries. For quality assessment of these knowledge assets metrics are needed, often obtained by a set of KPIs (Key Performance Indicators), which express the periodic achievement of operational goals of particular activities in quantitative form. Originality/value – We propose a set of KPIs developed within BAEKTEL that can be used for quality assessment of multilingual open knowledge resources development, publishing and use. These KPIs can be modified and reused by other similar projects according to their specific needs. To make this adjustment easier we grouped the KPIs into several categories and discussed briefly each of them. In addition to that, we offer a template to be used as a guideline for KPI representation, including specific rules for their calculation. Practical implications – KPIs offer a framework for efficient and structured assessment and subsequent improvement of open knowledge resources. Using IT to support acquisition of knowledge assets can result in significant overhead cost related to technology infrastructure, staff time and expertise. While being a large cost driver, the latter is also of key importance for quality of IT supported knowledge acquisition. KPIs can be helpful in preventing inadequate resourcing and financial management, which can compromise the quality of knowledge assets within the knowledge acquisition process. They allow for precise assessment of cost drivers to the management as a means for their minimization.