1,720,999 research outputs found
Chapter 15: Concluding management issues, associated learnings and social resilience
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Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
From brain drain to brain gain: the impact of Covid-19 on talent management in New Zealand
This chapter investigates how the Covid-19 crisis has influenced talent management in New Zealand. Although the country has been trying for decades to end the persistent brain drain and attract talent, it has found itself facing unexpected and sudden increases to its talent pool within only a few months. We consider how brain gain appears to be placing companies in the choice position of having an abundance of highly skilled and experienced talent to choose from. We describe what has and is changing as a consequence of Covid-19, what we call a ‘domestic war for talent’ and remuneration issues. Finally, we extract lessons learned in New Zealand and how these can be useful for other countries and their companies
Variations on the Author
“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
We 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
We 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
Artificial Intelligence in Organizations: A Multi-Study Exploration of the Implications for Organizational Learning
Introducing artificial intelligence (AI) into organizational learning processes necessitates
adapting our understanding of organizational learning as knowledge creation, and learning
increasingly involved algorithmic automation and hybrid forms encompassing human and
machine learning. This thesis explores how organizations can manage the complexity and
uncertainty of AI introduction to enhance their organizational learning. It does so through a
multi-study exploration of the learning opportunities, challenges, and tensions encountered at
the exploration, adoption, and implementation stages of the transformation journey.
This thesis consists of three studies. Study 1 provides a systematic review from a
knowledge management perspective, to understand AI’s role in organizations. Using the SECI
model as a lens to explore insights into how AI can aid the conversion of tacit and explicit
knowledge, this study develops five propositions from the literature and outlines a model to
explain the multifaceted roles of AI in organizational knowledge creation.
Studies 2 and 3 adopt a qualitative exploratory research design, utilizing forty-five semi-structured interviews to explore the empirical experiences of organizational informants. Study
2 identifies organizational unlearning in response to AI adoption as a collaborative, goal-oriented process. This involves planning and management centered on AI and employee
experiences, systematically advancing the process of organizational unlearning with the
support of a set of mechanisms, practices and conditions crafted to overcome AI adoption
challenges while facilitating organizational workers’ new learning with AI.
Study 3 reveals four paradoxes that augment the tensions between balancing exploration
and exploitation: the paradoxes of organizing, processing, performing and learning. Further,
this study proposes coping strategies of integration and differentiation based on a paradoxical
perspective to enable the synergistic potential of the contradictory yet complementary demands
within each paradox to benefit organizational learning.
These findings suggest that organizational learning can benefit from AI, but that
achieving this entails organizations taking a prudent approach to leveraging humans’ and AI’s
unique learning affordances to complement the limits of each other's learning capacity.
Managing organizational learning with AI also requires organizations to navigate the benefits
and emergent tensions with a long-term perspective, to create learning advantages from a
tightly coupled human-AI relationship and enabling organizational environment
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We 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
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