1,721,333 research outputs found
Optimal Structure, Market Dynamism, and the Strategy of Simple Rules
Using computational and mathematical modeling, this study explores the tension between too
little and too much structure that is shaped by the core tradeoff between efficiency and flexibility
in dynamic environments. Our aim is to develop a more precise theory of the fundamental
relationships among structure, performance, and environment. We find that the structureperformance
relationship is unexpectedly asymmetric, in that it is better to err on the side of too
much structure, and that different environmental dynamism dimensions (i.e., velocity,
complexity, ambiguity, and unpredictability) have unique effects on performance. Increasing
unpredictability decreases optimal structure and narrows its range from a wide to a narrow set of
effective strategies. We also find that a strategy of simple rules, which combines improvisation
with low-to-moderately structured rules to execute a variety of opportunities, is viable in many
environments but essential in some. This sharpens the boundary condition between the strategic
logics of positioning and opportunity. And juxtaposing the structural challenges of adaptation for
entrepreneurial vs. established organizations, we find that entrepreneurial organizations should
quickly add structure in all environments, while established organizations are better off seeking
stable environments unless they can devote sufficient attention to managing a dissipative
equilibrium of structure (i.e., edge of chaos) in unpredictable environments.Sloan School of ManagementStanford Technology Ventures ProgramNational Science Foundation (IOC Award #0323176
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
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
Rotating leadership and collaborative innovation: Recombination processes in symbiotic relationships
Using a multiple-case, inductive study of eight technology collaborations between ten organizations in the global computing and communications industries between 2001 and 2006 this paper examines why some interorganizational relationships produce technological innovations while others do not. Comparisons of more and less innovative collaborations show that high-performing collaborative innovation involves more than possessing the appropriate structural antecedents (e.g., R&D capabilities, social embeddedness) suggested by prior alliance studies. Rather, it also involves dynamic organizational processes associated with collaboration partners’ leadership roles that solve critical innovation problems related to recombination across boundaries. While dominating and consensus leadership processes are associated with less innovation, a rotating leadership process is associated with more innovation. It involves alternating decision control that accesses the complementary capabilities of both partner organizations, zig-zagging objectives that engender deep and broad technological search for potential innovations, and fluctuating network cascades that mobilize different participants who bring variable inputs to recombination. The paper also discusses recombination mechanisms in the organization of collaborative innovation, variations in the performance of dynamic interorganizational ties, and how organizations develop symbiotic relationships that overcome the tendency of long-lived relationships toward inertia.National Science Foundation (U.S.) (IOC Award #0621777)Stanford University. Stanford Technology Ventures ProgramSloan School of Managemen
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
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
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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