1,720,962 research outputs found
Innovative and sustainable food business models
No full textCompanies are called upon to solve the great challenges of the new millennium. The food sector, from this point of view, plays a strategic role. Poverty, malnutrition, hunger, climate change, and social inequalities are just some of the trends which the agri-food sector has to cope with. The digital transformation that companies will need to embrace to survive requires new ways of creating, thinking, and working with technology-driven tools to provide value for their businesses and customers. Digitization, whether it pertains to new technologies, the analysis of big data or the development of on-line and spatial applications, can contribute to achieving systemic food production transformation in a way that aligns the sector more closely with contemporary sustainability and health challenges. Digital techniques are leading established companies to renew and innovate their business models by connecting producers to consumers, setting up innovative marketing channels, and improving logistics. Artificial intelligence for smart farming, precision and urban farming, data management for waste-less, blockchain for supply chain traceability and auditability are just some of the disruptive technologies which have been adopting by both start-ups and an increasing number of established companies, redefining their business models. This chapter aims to analyse how these new paradigms are impacting the food sector by providing examples from the real world
Innovation and entrepreneurial ecosystems: Structure, boundaries, and dynamics
No full textRecognizing the broader dimensions of entrepreneurial and innovation activities, holistic and inclusive networked approaches pave the way to co-creation activities that are essential for achieving sustainability in food systems. Recent studies have started to deepen what are the critical enablers for creating thriving entrepreneurial and innovation ecosystems. Networks that include firms, institutions, and several other relevant stakeholders in knowledge spillovers enable to produce more social and economic value through co-creation processes. However, due to the unique complexity within ecosystems, there is no standardized framework or strategy to develop entrepreneurial or innovation ecosystems effectively. In this chapter, a synthesis of the structure, dynamics, and boundaries of innovation and entrepreneurial ecosystems is presented. In particular, the main differences between these two concepts and the traditional ecosystem concept are provided and an overview of the more well-established definitions and frameworks present in the business and management literature offered. So, the following questions and many others will be addressed: what are the critical factors that lead some ecosystems to success? What the key actors? What dynamics characterize them? Answering these questions may represent an effective solution to address sustainability in the multi-functionality of food systems collectively. Therefore, how the heterogeneous elements and complexity of entrepreneurial and innovation ecosystems can be applied in food system sustainability initiatives will be finally discussed and critical action points for policy and practice recommended
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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