180,606 research outputs found
Multinationals and subsidiaries: A bibliometric study on Ghoshal?s managing across borders
No full textSome scholars? imprint an academic discipline by their contribution to the manner in which we think and research, namely by putting forward novel concepts and insights. In this paper we examine the impact of Sumantra Ghoshal?s work on the study of subsidiaries and multinational enterprises and organizational formats for foreign operations. Specifically we perform a bibliometric study focused on Bartlett and Ghoshal?s well-known book ?Managing across borders: The transnational solution? to assess its impact in international business (IB) research. We examine the entire record of publications in the top leading IB journal: Journal of International Business Studies (JIBS). Theoretically supported, Ghoshal?s work was keenly influenced by his corporate experiences and his constant questioning of the dominant theories and assumptions. Our analyses show the impact of the work on the ?transnational solution? namely on the understanding of multinationals and subsidiaries, thus being one of the most notable contributions for IB research over the past twenty years.Sumantra Ghoshal, international business research, bibliometric study, transnational solution, multinational corporations, subsidiaries
The Biased Homogeneous r-Lin Problem
No full textThe p-biased Homogeneous r-Lin problem (Hom-r-Lin_p) is the following: given a homogeneous system of r-variable equations over m{F}₂, the goal is to find an assignment of relative weight p that satisfies the maximum number of equations. In a celebrated work, Håstad (JACM 2001) showed that the unconstrained variant of this i.e., Max-3-Lin, is hard to approximate beyond a factor of 1/2. This is also tight due to the naive random guessing algorithm which sets every variable uniformly from {0,1}. Subsequently, Holmerin and Khot (STOC 2004) showed that the same holds for the balanced Hom-r-Lin problem as well. In this work, we explore the approximability of the Hom-r-Lin_p problem beyond the balanced setting (i.e., p ≠ 1/2), and investigate whether the (p-biased) random guessing algorithm is optimal for every p. Our results include the following:
- The Hom-r-Lin_p problem has no efficient 1/2 + 1/2 (1 - 2p)^{r-2} + ε-approximation algorithm for every p if r is even, and for p ∈ (0,1/2] if r is odd, unless NP ⊂ ∪_{ε>0}DTIME(2^{n^ε}).
- For any r and any p, there exists an efficient 1/2 (1 - e^{-2})-approximation algorithm for Hom-r-Lin_p. We show that this is also tight for odd values of r (up to o_r(1)-additive factors) assuming the Unique Games Conjecture. Our results imply that when r is even, then for large values of r, random guessing is near optimal for every p. On the other hand, when r is odd, our results illustrate an interesting contrast between the regimes p ∈ (0,1/2) (where random guessing is near optimal) and p → 1 (where random guessing is far from optimal). A key technical contribution of our work is a generalization of Håstad’s 3-query dictatorship test to the p-biased setting
Cosmological collider non-Gaussianity from multiple scalars and R 2 gravity
No full textAbstract Cosmological collider signals of primordial non-Gaussianity arise at tree level when an extra scalar has Hubble mass during inflation. We critically review the formalism finding that a large class of inflationary theories, based on Planck-scale physics, predict a scalar bi-spectrum around the gravitational floor level. This mild signal arises for example in R 2 gravity, in the regime where its gravitational scalar has Hubble-scale mass. Signals much above the gravitational floor arise in theories where scalars undergo multiple turns during inflation, thanks to sub-Planckian physics
sj-R-2-hpq-10.1177_13591053211064985 – Supplemental material for Assessing medical mistrust in organ donation across countries using item response theory
No full textSupplemental material, sj-R-2-hpq-10.1177_13591053211064985 for Assessing medical mistrust in organ donation across countries using item response theory by Arunangshu Ghoshal, Ronan E O’Carroll, Eamonn Ferguson, Lee Shepherd, Sally Doherty, Mary Mathew, Karen Morgan and Frank Doyle in Journal of Health Psychology</p
A Poetic Record of the Rajput Rebellion, c. 1680
No full textAbstractThrough comparison of three poetic texts describing the career of Rana Raj Singh of Mewar (r. 1652–1680), this paper demonstrates how representations of Aurangzeb could vary dramatically even when they were produced for the same Rajput court. Much of the paper focuses on Rāj-vilās, a vernacular-language work with a lengthy account of conflict between Aurangzeb and the Rajput lords of Marwar and Mewar. Rāj-vilās is also noteworthy for its negative portrayal of the Mughal emperor, whom it castigates as a wicked killer of kin who was duplicitous and vengeful. Sometimes thought to be modern constructions, the criticisms of Aurangzeb found in Rāj-vilās reveal that certain ideas about Indian historical figures have continued to be deployed and repurposed over the centuries. Yet Rajput views during Aurangzeb's lifetime were not uniformly unfavourable, as the Sanskrit texts Rāja-ratnākara and Rāja-praśasti attest. Although these two works resembled Rāj-vilās in covering the reign of Rana Raj Singh and were written at roughly the same time, they cast Aurangzeb in a considerably more positive light. This difference can be attributed to the fluctuating political relationship between the Mughal empire and the Mewar kingdom in the decade between 1677 and 1687, underscoring the need to carefully identify the historical contexts within which representations of Aurangzeb were produced and circulated.</jats:p
Orthographic influences, vocabulary development and phonological awareness in deaf children who use cochlear implants
No full textIn the current study, we explore the influence of orthographic knowledge on phonological awareness in children with cochlear implants and compare developmental associations to those found for hearing children matched for word reading level or chronological age. We show an influence of orthographic knowledge on syllable and phoneme awareness in deaf and hearing children, but no orthographic effect on rhyme awareness. Nonorthographic rhyme awareness was a significant predictor of reading outcomes for all groups. However, whereas receptive vocabulary knowledge was the most important predictor of word reading variance in the cochlear implant group, rhyme awareness was the only important predictor of word reading variance in the reading level matched hearing group. Both vocabulary and rhyme awareness were equally important in predicting reading in the chronological age-matched hearing group. The data suggest that both deaf and hearing children are influenced by orthography when making phonological judgments, and that phonological awareness and vocabulary are both important for reading developmen
Steering control and Kalman filter position estimation comparison for an autonomous underwater vehicle
No full textAutonomous vehicles for sub-sea exploration are gaining in popularity. They offer longer operational time, can reach a wider and deeper area of the sea with low risk of failure. The control system and the localization system are two of the most important components that ensure the success of the mission. However, the performance of these subsystems is affected by external noise and disturbances. This thesis presents a Hierarchical rule-based reduction fuzzy controller as a solution to control systems suffering from noisy feedback and affected by external current flow disturbances. Performance comparisons with LQR and Pure Pursuit controllers show that under these conditions, the hierarchical rule-base reduction fuzzy logic controller is able to reject disturbances and sensor noises better than its counterparts. Furthermore, this research observes the performance of all three controllers under challenging path trajectories. As the complexity of the path increased, the LQR controller's performance was observed to be better than that of Fuzzy and Pure Pursuit controllers. It is suggested under uncertain dynamics and noisy sensor conditions, a fuzzy controller should be used because of its higher ability to filter out noises and reject disturbances. Challenges in localization are addressed using the Unscented version of the Kalman filter, in which reduced order dynamic model predictions are fused with measurements. When compared to the Extended Kalman filter, the Unscented Kalman Filter was observed to suppress noise much better; its performance was observed to be robust as the noise in sensor data increased. The EKF was observed to have a lower error covariance matrix value than the UKF, suggesting higher confidence in the EKF value. The UKF values were well within the acceptable limits.Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2021-09-16 without embargo termsThe student, Ayush Rajput, accepted the attached license on 2021-04-27 at 09:31.The student, Ayush Rajput, submitted this Thesis for approval on 2021-04-27 at 09:46.This Thesis was approved for publication on 2021-04-28 at 16:45.DSpace SAF Submission Ingestion Package generated from Vireo submission #16579 on 2021-09-16 at 16:48:35Made available in DSpace on 2021-09-17T01:13:30Z (GMT). No. of bitstreams: 2
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Previous issue date: 2021-04-2
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe 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
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
No full textBoth spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
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