Search results for "leverage"
showing 10 items of 100 documents
Overcoming the liability of foreignness – A new perspective on Chinese MNCs
2021
Abstract We maintain that previous research on multinational corporations' liability of foreignness has underemphasized the importance of the firm's dependence on their parents, subsidiary and local resources. To address this issue, we conducted 43 semi-structured interviews with expatriate and local managers of Chinese high-tech MNCs over two years (2017–2019) and across China, Poland and Hong Kong to understand how they cope with the liability of foreignness in Poland. Using the resource dependence perspective, the linkage, leverage, learning (LLL) paradigm and the institutional view, we identified six dimensions affecting the liability of foreignness: resource commitment, information flo…
Quality of consulting services and consulting fees
2015
Abstract This study explores whether consulting service clients' degree of satisfaction can explain differences in consulting service fees to the same clients. By monitoring factors having a relationship with consulting fees as well as consulting service quality attributes, this study notes that client satisfaction with consulting team positively and strongly affects consulting fees. A dimension of consulting client satisfaction, which is not a consulting service quality attribute, is the factor that better explains consulting service pricing. This satisfaction dimension may allow consultants to charge higher fees through higher leverage while setting prices during contracting process. Clie…
Contrastive Learning with Continuous Proxy Meta-data for 3D MRI Classification
2021
Traditional supervised learning with deep neural networks requires a tremendous amount of labelled data to converge to a good solution. For 3D medical images, it is often impractical to build a large homogeneous annotated dataset for a specific pathology. Self-supervised methods offer a new way to learn a representation of the images in an unsupervised manner with a neural network. In particular, contrastive learning has shown great promises by (almost) matching the performance of fully-supervised CNN on vision tasks. Nonetheless, this method does not take advantage of available meta-data, such as participant’s age, viewed as prior knowledge. Here, we propose to leverage continuous proxy me…
Outlier recognition in crystal-structure least-squares modelling by diagnostic techniques based on leverage analysis.
2005
The identification of the actual outliers in a least-squares crystal-structure model refinement and their subsequent elimination from the data set is a non-trivial task that has to be carried out carefully when a high level of accuracy of the estimates is required. One of the most suitable tools for detecting the influence of each data entry on the regression is the identification of ;leverage points'. On the other hand, the recognition of the actual statistical outliers is effectively possible by using some diagnostics as a function of the leverage, such as Cook's distance, DFFITS and FVARATIO. The evaluation of these estimators makes it possible to achieve a reliable identification of the…
Agent-based Social Gaming with AMUSE
2014
Abstract This paper describes the core features and the multi-agent architecture of AMUSE (Agent-based Multi-User Social Environment), a novel agent-based platform for social gaming. AMUSE is designed to offer game developers readymade solutions to many issues that are common to social games like, e.g., advanced management of matches, turns and players. AMUSE is developed on top of WADE to leverage the scalable and solid agent-based deployment environment and the PaaS approach that it provides. This paper first outlines some of the motivations that originated the development of AMUSE. Then, it presents the multi-agent architecture of AMUSE and it enumerates the major applicative features th…
So Many Variables: Joint Modeling in Community Ecology
2015
Technological advances have enabled a new class of multivariate models for ecology, with the potential now to specify a statistical model for abundances jointly across many taxa, to simultaneously explore interactions across taxa and the response of abundance to environmental variables. Joint models can be used for several purposes of interest to ecologists, including estimating patterns of residual correlation across taxa, ordination, multivariate inference about environmental effects and environment-by-trait interactions, accounting for missing predictors, and improving predictions in situations where one can leverage knowledge of some species to predict others. We demonstrate this by exa…
Structural Dynamics and Intentional Governance in Strategic Interorganizational Network Evolution: A Multilevel Approach
2016
This article aims to shed light on the drivers underlying the role and scope of intentional governance of the structural dynamics of whole interorganizational networks. Prior research has distinguished networks that are emergent from networks that are orchestrated. While empirical studies have shown situations in which the role and scope of intentional governance of whole interorganizational networks has changed in time, and there is a growing interest regarding the endogenous drivers of network dynamics, the dimensions that influence intentional governance of network structure dynamics and the way this is carried out remain still to be elucidated. In order to pinpoint these drivers, we le…
Effectuating Person-Organization Fit : Effectuation in Organizations
2015
Industrial policies of innovation concentrate on funding or encouraging promising innovations entailing growth or that have possibilities of internationalization. However, concrete innovation process happens in and between individuals. Effectuation is a logic that is emergent and iterative in nature. It develops through enactment and trial-and-error processes that follow deep expertise, contextual experience and abilities to leverage contingencies. Harnessing individuals to challenge their working environment to function better may improve both work well-being and organization performance. The integration of person-organization fit and effectuation suggest that paying attention to effectuat…
Determinants of interest margins in Spanish credit institutions before and after the 2008 financial crash
2017
As interest margins of credit institutions affect economic performance of countries, finding out which are the main determinants of their evolution is a research task of great interest at current times. This is the purpose of the present paper as regards to the Spanish case over the period 2004-2012. Based on the econometric contributions by Ho and Saunders (1981) and some of its extensions, the authors develop a model that includes as explanatory variables the factors usually examined in the literature and other singular variables that might be relevant. Particularly, the rate of leverage, the quality of their assets measured according to their risk, and the profit obtained from the sellin…
Balancing on a tightrope: Managing the boundaries of a firm-sponsored OSS community and its impact on innovation and absorptive capacity
2014
Realizing the innovation potential of OSS communities, firms now create or sponsor their own open source software (OSS) communities, generally as part of an open innovation strategy. However, maximizing the innovation capability of a sponsored OSS community is a challenging task since firms cannot rely on traditional hierarchical authority to control community members. Furthermore, a firm's efforts to manage its sponsored community may also impact the firm's absorptive capacity, or its ability to effectively absorb and leverage the valuable knowledge created by the community. Thus, the purpose of this article is to investigate two research questions: 1) How does the boundary management of a…