Writing to advance knowledge: The impact of readability on knowledge diffusion in OSCM

2021 ◽  
Author(s):  
Seongkyoon Jeong ◽  
Zachary S. Rogers ◽  
Seth Washispack
2008 ◽  
Vol 17 (4) ◽  
pp. 283-293 ◽  
Author(s):  
Lorenzo Cassi ◽  
Nicoletta Corrocher ◽  
Franco Malerba ◽  
Nicholas Vonortas

Author(s):  
Catherine Jordan ◽  
Cheryl Charles ◽  
Avery Cleary

Research can fall short of having societal impact due to traditions of the research enterprise as well as the perceptions of researchers about their appropriate role. What if researchers saw their work as part of a social movement to make change, and the research enterprise was designed to encourage that view and to facilitate relevance, rigor, activation of research, and a collaborative approach to address research questions aligned with a common goal? What would such a research enterprise look like? In this article, we describe the application of “network leadership strategies” to develop a “generative, social-impact network” to support the efforts of a nature-based learning research network to advance knowledge of the natural environment's impact on children's learning and educational outcomes. The activities and achievements of the nature-based learning research network are examined through the lens of network-building approaches aiming to create social impact. Though inspired by and grounded in these approaches, the reality is that certain constraints influenced our ability to function collaboratively as a generative, social-impact network and to fully realize the potential of this approach. We describe these challenges and offer recommendations for other researchers interested in enhancing the social impact of research.


2018 ◽  
Vol 10 (10) ◽  
pp. 3541 ◽  
Author(s):  
Luigi Aldieri ◽  
Concetto Vinci

The purpose of this paper is to analyze the role of the knowledge diffusion process in employment effects of sustainable development investments for large international firms. We present an empirical analysis based upon a dataset composed of worldwide Research and Development (R&D) -intensive firms over the period 2002–2010. In order to identify the technological relatedness measure between the firms, we use the friendly environmental patents’ distribution. The drivers of labor innovation effects are identified as a complex combination of job displacement and compensation forces of innovation. Two research questions are investigated: first, we wonder whether green economy investments stimulate firm-level jobs within three different environmental contexts: water, waste and energy; second, we would like to learn the extent to which the knowledge diffusion is an important channel supporting labor in the environmental context, by analysing the impact of intra-industry externalities. From the empirical results, we can observe that environmental spillovers have a negative impact, by confirming the prevalence of the displacement effect. This finding is extremely important for policy implications. Indeed, not only economic incentives to allow the transition to cleaner technologies are required, but also stronger actions to favor job creation relative to environmental activities are needed for a full sustainable achievement of firms.


2019 ◽  
Vol 11 (3) ◽  
pp. 581 ◽  
Author(s):  
Zhaobin Fan ◽  
Hui Li ◽  
Lin Pan

This paper investigates the role of FDI in international knowledge diffusion with a focus on the evolution of the comparative advantage of FDI-host and FDI-source countries. We use data on 99 countries, which leads to 876 country pairs, over the 2001 to 2012 period. Spatial autoregressive (SAR) models are used to investigate the impact of bilateral FDI on the similarity of the comparative advantage between the host and source countries. Empirical results show that the effect of the bilateral FDI on the evolution of the comparative advantage of the host and source countries is statistically significant. Specifically, the larger the scale of bilateral FDI, the more similar the comparative advantage between the host and source countries becomes. We also find that the impact of FDI on international knowledge diffusion is heterogeneous across country pairs and this effect varies across the development gap between the source and host countries. In the case of countries that are not very different in terms of their level of economic development, bilateral FDI has a relatively more significant effect on the similarity of the comparative advantage between countries. Moreover, we find that the similarity of the comparative advantage is spatially correlated, and FDI linkages between country pairs strengthen the spatial correlations.


2020 ◽  
Vol 17 (4) ◽  
pp. 811-819
Author(s):  
O. S. Mariev ◽  
◽  
N. S. Teplyakov ◽  

This study focuses on the sectoral structure of exports of Russian regions and its dynamics. We also explore the reasons for similarities in export portfolios of regions. Despite the differences in geography, climate and capital availability, Russian regions have more similarities than differences in terms of their export baskets. This conclusion is valid for the six economic sectors we examined based on observations from 1998 to 2018. This paper aims to clarify the nature of the relationship between the structure of exports and knowledge diffusion. Our main hypothesis is that knowledge diffusion has a positive impact on the similarity of exports in Russian regions. Using econometric tools, we bring to light the following patterns: first, knowledge diffusion has a positive effect on similarity of regional exports; second, an increase in the distance between Russian regions leads to a decrease in the similarity of their export baskets, while the presence of a common border leads to the opposite; and finally, a growing difference in socio-economic indicators leads to a decrease in the similarity of regions’ export baskets. The research findings could be used to design strategies for development of regional exports.


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