Open datasets serve as facilitators for researchers to conduct research with ground truth data. Generally, datasets contain innovation and knowledge in the domains that could be transferred between homogeneous datasets and have become feasible using machine learning models with the advent of...

The Paper focuses on the inbound know-how transfer for the development of open innovation as an approach to business management. It can be a challenging task for useful and meaningful transfer of external know-how to create value, thus the addressed research questions are: What constitutes a...

The paper describes an experiment in transfer of learnings from class-room to work situations. The experiment consisted of carrying out a 'Daignostics' at the beginning of a training programme; regular writing of 'Learning diary' by participants; periodical Learning review' and preparation of an...

In this study, we investigate the relationship between exporting and firm performance using a longer panel dataset of Ethiopian manufacturing firms for the period 1996 - 2009. We test two hypotheses regarding exporting: selection into exporting versus learning by exporting. According to the...

The absorptive capacity of firms developed through R&D promotes learning by exporting. In this paper, we estimate the instantaneous and long‐run productivity effects of exporting on the universe of Chinese manufacturing firms. We find that exporting has very different productivity effects for...