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This paper aims to identify the winning combination of innovation capabilities for selected Brazilian agribusiness firms along different value chain links.

Adopting a quantitative approach, the authors analyzed the relationship between innovation capabilities and innovative performance of 300 agribusiness firms through a multi-regression technique.

The results showed that transaction, management and development capabilities can improve agribusiness firms’ performance in underdeveloped value chains.

For future research, the authors recommend analyzing further links such as traders and retailers to find the innovation capability for the entire agribusiness value chain.

Upstream firms should adopt new management techniques and tools, efficiently using their resources, while downstream firms should absorb and transform new technologies into products and processes.

The authors suggest formulating public policies that propose the recombination of innovation capabilities to organize agribusiness firms and avoid commodity-oriented market dependence.

The literature on agribusiness explains innovation at the chain level, based primarily on scientific advancements rather than on innovation at the firm level. In this sense, this study provides empirical evidence that can help boost innovation in agribusiness firms.

This paper aims to focus on research regarding organizational learning (OL) and knowledge management (KM), and to specifically investigate whether OL has been conceptually absorbed by KM.

This study is based on 16,185 articles from the Scopus and ISI Web of Science databases, using VantagePoint 10.0 software. The method used in this study is a systematic literature review covering KM and OL publications from the 1970s, when the OL field started to grow, up to 2016.

Nuclear processes of OL, creation and acquisition of knowledge, have been conceptually absorbed by KM literature in the past years.

Only two databases have been considered, Scopus and ISI Web of Science, because of their academic prestige. However, these databases include a large number of articles on KM and OL. Search terms used could exclude some relevant terms, although all major descriptive terms have been included.

This paper identifies thematic clusters in KM and OL, evolution of both fields, most cited authors and representative journals by topic.

This is the first paper to jointly analyse the evolution of KM and OL. This paper shows a conceptual absorption of OL into KM, which may enrich academic discussion and also provide some clarity to the conceptualization of these two fields.