Marketing

Context (archaeology)

Linguistics

Philosophy

Biology

Business administration

Originality

Economics

Relational capital

Computer science

Structural equation modeling

Business

Qualitative research

Paleontology

Intellectual capital

Value (mathematics)

Serbian

Sociology

Human capital

Industrial organization

Economic growth

Finance

Knowledge management

Machine learning

Social science

VINE Journal of Information and Knowledge Management Systems

Purpose In investigating the linkage between intellectual capital (IC) and innovation, it is important not only to explore how IC as a whole is associated with organizations’ innovative performance but also to gain a deep understanding of the role of different IC components (groups of intangibles) in companies’ innovation performance, which is the purpose of this paper in the context of Serbian companies. Design/methodology/approach This research is based on survey data collected from 100 Serbian companies with at least 100 employees during 2014/2015. Six IC components were analyzed (human, structural, internal relational, external relational, renewal and entrepreneurial) in terms of their effect on innovation performance. Analyses were conducted using structural equation modeling and correlation analysis. Findings Findings demonstrate that renewal capital, internal relational capital and structural capital have statistically significant positive effects on overall innovative performance in Serbian companies. Practical implications The outcomes reveal potential and barriers within IC that are crucial to innovation performance in Serbian companies. In this way, this study enables a deeper understanding of intangible drivers of innovation and highlights possibilities to foster intangible innovation potential in Serbian companies. Originality/value As context (economic and cultural) has emerged as a relevant factor in researching IC, this study is original in investigating IC effect on innovation within the Serbian business environment. Additionally, the broad sexpartite taxonomy of IC contributes to a wider understanding of knowledge and its linkages to innovation.

The effect of IC components on innovation performance in Serbian companies