Family ownership, innovation and other context variables as determinants of sustainable entrepreneurship in SMEs: An empirical research study

This study focuses on the prediction of sustainable entrepreneurship, that is, behavior which demonstrates a firm’s concern about the natural environment, especially among small and medium sized enterprises (SMEs). Using a random sample of 382 Dutch SMEs we examine how organizational context (firm sector, size, ownership structure) and innovativeness influence SMEs engagement in sustainable entrepreneurship. Results show that firms from more “tangible” sectors (manufacturing, construction and agriculture), larger firms, family-owned firms, and firms with a more innovative orientation are more likely to report positive activity related to the natural environment. The paper discusses implications of the obtained results.

Beyond Size: Predicting engagement in environmental management practices of Dutch SMEs

This study focuses on the prediction of the engagement of small and medium sized enterprises (SMEs) in environmental management practices, based on a random sample of 689 SMEs. The study finds that several endogenous factors, including tangibility of sector, firm size, innovative orientation, family influence and perceived financial benefits from energy conservation, predict an SME’s level of engagement in selected environmental management practices. For family influence, this effect is found only in interaction with the number of owners. In addition to empirical research on SMEs’ environmental behavior, the article draws on the ecological modernization literature as well as the theory of planned behavior.

Putting the rights of nature on the map. A quantitative analysis of rights of nature initiatives across the world

The Rights of Nature (RoN) promote a new understanding of the human environment, where natural entities are conceived as subjects with intrinsic value independent of human interests. The implementation of this idea gained momentum in the United States in 2006. One decade and a half later, the idea has spread all over the world. Despite some efforts, a sophisticated geographical inventory of the movement is missing. Building on Kauffman (2020), we identified and analysed 409 initiatives in 39 countries, creating the most comprehensive database of RoN initiatives to date. We developed a taxonomy that may guide further research. We also present two detailed maps which can help policymakers, legislators, judges, researchers, and the public at large to evaluate and compare initiatives. The findings of this investigation directly help the UN Harmony with Nature Programme and have contributed to the launch of the Eco-Jurisprudence Monitor, an online database of RoN initiatives

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe