The role of diversification profiles and dyadic characteristics in the formation of technological alliances:Differences between exploitation and exploration in a low-tech industry

This paper posits that corporate and technological diversification of firms and their relatedness in terms of products and technologies will impact their propensity to form technological alliances. It argues that both higher levels of diversification and greater relatedness signal superior capabilities and available resources to prospective partners that will facilitate exploration and exploitation of technological assets in an alliance. These theoretical conjectures are tested using a dataset of all tire producers worldwide between 1985 and 1996 that combines detailed firm data on establishment, patenting, and alliance activities. The results indicate that complementarity in terms of corporate and technological diversification strategies, as well as partner characteristics (e.g., size, age, and technological capabilities) drive exploitation alliances. Moreover, firms with similar product portfolios are more likely to engage in exploitative interactions. In contrast, exploration alliances exhibit strong partner similarity across all firm characteristics. Both corporate and technological diversification have positive effects on firms’ propensity to engage in exploration, while technological distance has a negative nonlinear one.<br/

The export performance of emerging economy firms: the influence of firm capabilities and institutional environments

We advance a two-stage theoretical model which contends that the export performance of emerging economy firms (EEFs) will depend both upon their firm-specific capabilities and their home institutional environments. Specifically, we argue that EEFs will be more likely to export when facing more uncertainty at home from greater political instability, substantial informal competition, and high corruption. Furthermore, we hypothesize that firms’ export intensities will be contingent upon specialized internal capabilities such as a skilled workforce, top managerial experience, and access to external technologies. We test these hypotheses using a dataset of more than 16,000 firms from the four BRIC economies (i.e., Brazil, Russia, China and India). Our results confirm that political instability and informal competition have robust effects on the export propensity of EEFs, whilst export intensity is contingent upon the availability of skilled workers and access to external technologies via licensing

The determinants of export performance in BRIC countries: the role of firm resources and the institutional environment

We posit that export performance of firms in emerging economies depends both on their firm-specific resource endowments and on the institutional environments within which they operate. Specifically, we argue that firms will be likely to export when political instability is high, they face more informal competitors, and are able to grease the regulatory system via bribes. Furthermore, firm export intensity will depend on access to critical resources such as skilled workforce, managerial talent and product quality. We test these conjectures using a dataset of 5,600 firms in the four largest emerging market economies (Brazil, Russia, China and India). Our results confirm that the institutional environments affect export propensity through political instability and bribery, whilst the export intensity of firms depends on the availability of skilled workers and adherence to international quality standards. These findings provide new insights into the export performance of emerging market firms (EMFs)

Happy diamond anniversary JMS! A decade analysis of the Journal of Management Studies

The Journal of Management Studies, founded in 1963, is celebrating its 60 th year. Clark et al. (2014) conducted a bibliometric analysis for its 50 th anniversary assessing whether the journal had maintained its leading international ranking and sustained its mission to serve as a broad-based management outlet. In this review, we build on and extend their findings by examining trends in the journal over the past decade (2012–22). We present a broader analysis of JMS by exploring its unique identity within the management journal ecosystem and examining its scope and breadth in terms of topics, methods, and author demographics to document JMS's evolution, impact, reach, and accessibility. We develop a new bibliometric framework that employs a mix of qualitative and quantitative analyses (including regression, text, and language analysis) to cover a broad range of considerations for a journal and its stakeholders. In so doing, we contribute to the bibliometric and review research areas by proposing new metrics (related to diversity, equity, and inclusion) and analysis tools to assess the relative position of an academic journal. Employing this framework, we conclude that JMS has retained and enhanced its position as a leading, cutting-edge general management journal.</p

Two computable sets of multipartite entanglement measures

We present two sets of computable entanglement measures for multipartite systems where each subsystem can have different degrees of freedom (so-called qudits). One set, called 'separability' measure, reveals which of the subsystems are separable/entangled. For that we have to extend the concept of k-separability for multipartite systems to a novel unambiguous separability concept which we call \gamma_k-separability. The second set of entanglement measures reveals the 'kind' of entanglement, i.e. if it is bipartite, tripartite, ..., n-partite entangled and is denoted as the 'physical' measure. We show how lower bounds on both sets of measures can be obtained by the observation that any entropy may be rewritten via operational expressions known as m-concurrences. Moreover, for different classes of bipartite or multipartite qudit systems we compute the bounds explicitly and discover that they are often tight or equivalent to positive partial transposition (PPT).Comment: 3 figures, 21 page

Banddehnungsmessung am Kniegelenk - Der Dehnungsmeßstreifen und seine Alternativen

Those techniques for measuring ligament tension at the knee joint that are most commonly cited and easiest to carry out are discussed, These include four techniques based on the use of strain gauges. Apart from the Omega transducer and the buckle transducer, there is also the tendon force transducer, and the application of strain gauges to the bony ligament insertion sites, Other indirect measuring methods considered are the mercury strain transducer and the Hall effect transducer. The parameter measured with all of these methods is fluctuating current or voltage, which is then correlated with ligament tension. Three direct measurements are also discussed: the separation distances of marked fibres of the ligaments, replacement of fibres by threads, and a load cell/bone plug construction. The measured value is equated with the effective change in ligament length

Vaccination with viral vectors expressing NP, M1 and chimeric hemagglutinin induces broad protection against influenza virus challenge in mice

Seasonal influenza virus infections cause up to half a million deaths each year, the majority of which are older adults. Annual influenza virus vaccination protects against disease, but in the event of a mismatch between the circulating strain and vaccine strain, vaccine effectiveness is severely impacted. Therefore, there is an urgent need for a vaccine that induces broad protection against drifted seasonal and emerging pandemic influenza viruses. One approach in designing such a universal influenza virus vaccine is based on targeting conserved regions of the influenza virus hemagglutinin (HA), the major glycoprotein on the surface of the virus. Using chimeric hemagglutinin constructs (cHA), the immune system can be primed to produce antibody responses against the conserved immunosubdominant stalk region rather than the variable immunodominant head region. Furthermore, replication deficient viral vectors based on Chimpanzee Adenovirus (ChAdOx1) and Modified Vaccinia Ankara (MVA) virus expressing the influenza virus internal antigens, such as the nucleoprotein (NP) and the matrix protein 1 (M1), are capable of inducing strong influenza specific T cell responses in vaccinated individuals. This is another approach towards a broadly cross-protective influenza vaccine given the degree of conservation of NP and M1 across different influenza virus strains. Here, we combine these two platforms to evaluate the efficacy of a viral vector-based group 2 cHA intramuscular vaccination regime in mice to confer protection against influenza virus challenge of matched and mismatched group 2 strains. We show that vectored vaccines expressing both cHA and an NP-M1 fusion protein, in a prime-boost regimen (with different cHAs given at each vaccination), provide enhanced protection against H3N2 and H10N8 virus challenge when compared to vaccination with cHA alone or NP-M1 alone. The vaccine induced antibody responses against divergent HAs, NP, M1, and whole virus correlated with nature of administered vaccine and extent of protection seen across vaccinated groups. Influenza specific T cell responses were also increased in the vectored vaccines expressing both the cHA and the NP-M1 fusion protein. For further characterization, we are interested in looking at an optimal vaccination regimen, the possibility of an additional boost to induce cross-reactive antibodies, and the nature of the induced antibodies. Overall, these results improve our understanding of vaccination platforms capable of harnessing cellular and humoral immunity with the ultimate goal of designing a universal influenza vaccine

Mathematical modeling reveals threshold mechanism in CD95-induced apoptosis

Mathematical modeling is required for understanding the complex behavior of large signal transduction networks. Previous attempts to model signal transduction pathways were often limited to small systems or based on qualitative data only. Here, we developed a mathematical modeling framework for understanding the complex signaling behavior of CD95(APO-1/Fas)-mediated apoptosis. Defects in the regulation of apoptosis result in serious diseases such as cancer, autoimmunity, and neurodegeneration. During the last decade many of the molecular mechanisms of apoptosis signaling have been examined and elucidated. A systemic understanding of apoptosis is, however, still missing. To address the complexity of apoptotic signaling we subdivided this system into subsystems of different information qualities. A new approach for sensitivity analysis within the mathematical model was key for the identification of critical system parameters and two essential system properties: modularity and robustness. Our model describes the regulation of apoptosis on a systems level and resolves the important question of a threshold mechanism for the regulation of apoptosis

Kulikovskiyia gen. nov. (Bacillariophyceae) from the lateritic rock pools of the Western Ghats, India and from Hainan Province, China

A new triundulate naviculoid diatom genus is described from the Western Ghats of Peninsular India and Hainan Province, China. The new taxon, Kulikovskiyia gen. nov. has robust conical spines along its margin and at the apices and the external valve face has longitudinally‐oriented siliceous slat system extending the length of the valve. The external distal raphe ends bifurcate and terminates on the valve face. There appear to be superficial similarities between this Asian genus and species and Playaensis, a genus comprised of two species found only in the western USA. The systematic position of Kulikovskiyia is discussed, and other than noting its similarities to other biraphid naviculoid diatoms due to symmetry features and the position of the raphe, we are uncertain about its systematic placement at finer levels of classification.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/153713/1/pre12400_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/153713/2/pre12400.pd