Open AccessTHE IMPACT OF THE LEARNING-BY-EXPORTING EFFECTS ON BUSINESS MODELS: LITERATURE REVIEW AND FUTURE RESEARCH DIRECTIONS
Author(s) -
G. S. Hovakimyan,
G. G. Nalbandyan
Publication year - 2019
Publication title -
strategičeskie rešeniâ i risk-menedžment
Language(s) - English
Resource type - Journals
eISSN - 2618-9984
pISSN - 2618-947X
DOI - 10.17747/2618-947x-2019-3-262-273
Subject(s) - subject (documents) , field (mathematics) , selection (genetic algorithm) , work (physics) , computer science , data science , management science , knowledge management , artificial intelligence , economics , engineering , world wide web , mechanical engineering , mathematics , pure mathematics
This review makes a significant contribution to the study of the “learning-by-exporting” effect. The article offers a detailed overview of the various views and studies on the subject. The work helps to review the evolution in the field of learning-by-exporting research through bibliometric analysis. Thirdly, this paper focuses on the most cited publications, as well as on the work of the last two or three years. Also, this article discusses the relationship between the learning-by-exporting and the self-selection hypothesis.