Do multinationals really prefer to enter culturally distant countries through greenfields rather than through acquisitions? The role of parent experience and subsidiary autonomy.

Prior research has argued that multinational enterprises (MNEs) prefer to enter culturally distant countries through greenfields rather than through acquisitions, since acquisitions in such countries are costlier to manage. This argument contains two hidden assumptions: (1) the additional costs of acquisitions in culturally distant countries are the same for all MNEs; and (2) such acquisitions have no benefits over their greenfield counterparts. In this paper we relax these two assumptions by arguing that an MNE's preference for greenfields in culturally distant countries depends on its international and host-country experience, and on the level of autonomy it plans to grant the focal subsidiary. Analyzing 171 wholly owned greenfield investments and full acquisitions made by Dutch MNEs in 35 countries, we find that these MNEs prefer to enter culturally distant countries through greenfields, but that this preference is lower when they have little international experience, or plan to grant the focal subsidiary considerable autonomy in marketing. [ABSTRACT FROM AUTHOR]

Exploiting spatio-temporal constraints for robust 2D pose tracking

We present a Spatio-temporal 2D Models Framework (STMF) for 2D-Pose tracking. Space and time are discretized and a mixture of probabilistic "local models" is learnt associating 2D Shapes and 2D Stick Figures. Those spatio-temporal models generalize well for a particular viewpoint and state of the tracked action but some spatio-temporal discontinuities can appear along a sequence, as a direct consequence of the discretization. To overcome the problem, we propose to apply a Rao-Blackwellized Particle Filter (RBPF) in the 2D-Pose eigenspace, thus interpolating unseen data between view-based clusters. The fitness to the images of the predicted 2D-Poses is evaluated combining our STMF with spatio-temporal constraints. A robust, fast and smooth human motion tracker is obtained by tracking only the few most important dimensions of the state space and by refining deterministically with our STMF.

Informed Consent: Autonomy and Self-Ownership

Using the example of an unconsented mouth swab I criticise the view that an action of this kind taken in itself is wrongful in respect of its being a violation of autonomy. This is so much inasmuch as autonomy merits respect only with regard to ‘critical life choices’. I consider the view that such an action is nevertheless harmful or risks serious harm. I also respond to two possible suggestions: that the action is of a kind that violates autonomy; and, that the class of such actions violates autonomy. I suggest that the action is wrongful in as much as it is a bodily trespass. I consider, and criticise, two ways of understanding how morally I stand to my own body: as owner and as sovereign. In respect of the latter I consider Arthur Ripstein’s recent defence of a sovereignty principle. Finally I criticise an attempt by Joel Feinberg to explain bodily trespass in terms of personal autonomy.

Respecting autonomy without disclosing information

There is widespread agreement that it would be both morally and legally wrong to treat a competent patient, or to carry out research with a competent participant, without the voluntary consent of that patient or research participant. Furthermore, in medical ethics it is generally taken that that consent must be informed. The most widely given reason for this has been that informed consent is needed to respect the patient’s or research participant’s autonomy. In this article I set out to challenge this claim by considering in detail each of the three most prominent ways in which ‘autonomy’ has been conceptualized in the medical ethics literature. I will argue that whilst these accounts support the claim that consent is needed if the treatment of competent patients, or research on competent individuals, is to respect their autonomy, they do not support the claim that informed consent is needed for this purpose.

A Review on Improving the Autonomy of Unmanned Surface Vehicles through Intelligent Collision Avoidance Manoeuvres

In recent years unmanned vehicles have grown in popularity, with an ever increasing number of applications in industry, the military and research within air, ground and marine domains. In particular, the challenges posed by unmanned marine vehicles in order to increase the level of autonomy include automatic obstacle avoidance and conformance with the Rules of the Road when navigating in the presence of other maritime traffic. The USV Master Plan which has been established for the US Navy outlines a list of objectives for improving autonomy in order to increase mission diversity and reduce the amount of supervisory intervention. This paper addresses the specific development needs based on notable research carried out to date, primarily with regard to navigation, guidance, control and motion planning. The integration of the International Regulations for Avoiding Collisions at Sea within the obstacle avoidance protocols seeks to prevent maritime accidents attributed to human error. The addition of these critical safety measures may be key to a future growth in demand for USVs, as they serve to pave the way for establishing legal policies for unmanned vessels.

Robust visual tracking based on online learning sparse representation

Handling appearance variations is a very challenging problem for visual tracking. Existing methods usually solve this problem by relying on an effective appearance model with two features: (1) being capable of discriminating the tracked target from its background, (2) being robust to the target's appearance variations during tracking. Instead of integrating the two requirements into the appearance model, in this paper, we propose a tracking method that deals with these problems separately based on sparse representation in a particle filter framework. Each target candidate defined by a particle is linearly represented by the target and background templates with an additive representation error. Discriminating the target from its background is achieved by activating the target templates or the background templates in the linear system in a competitive manner. The target's appearance variations are directly modeled as the representation error. An online algorithm is used to learn the basis functions that sparsely span the representation error. The linear system is solved via ℓ1 minimization. The candidate with the smallest reconstruction error using the target templates is selected as the tracking result. We test the proposed approach using four sequences with heavy occlusions, large pose variations, drastic illumination changes and low foreground-background contrast. The proposed approach shows excellent performance in comparison with two latest state-of-the-art trackers.

A framework for designing robust food supply chains

After years of emphasis on leanness and responsiveness businesses are now experiencing their vulnerability to supply chain disturbances. Although more literature is appearing on this subject, there is a need for an integrated framework to support the analysis and design of robust food supply chains. In this chapter we present such a framework. We define the concept of robustness and classify supply chain disturbances, sources of food supply chain vulnerability, and adequate redesign principles and strategies to achieve robust supply chain performances. To test and illustrate its applicability, the research framework is applied to a meat supply chain.

Autonomy and Control of State Agencies:Comparing States and Agencies

Do public organizations with similar tasks or structures differ across states with respect to their autonomy and control? If so, why? By comparing the autonomy, control and internal management of state agencies, this book shows how New Public Management doctrines actually work in three small European states with different politico-administrative regimes. Using a unique set of similar survey data on 226 state agencies in Norway, Ireland and Flanders, this study explains differences in agency autonomy, control and management by referring to international isomorphic pressures, state-specific politico-administrative regimes and characteristics of agencies. Therefore, organization theory and neo-institutional schools are used to formulate four competing theoretical perspectives and hypotheses are tested through simple and advanced statistical techniques. By comparing practices between states and between types of agencies, this study substantially enhances scientific knowledge about why public organizations are granted autonomy, why they are controlled in specific ways, and how autonomy affects internal management.

Autonomy and regulation of state agencies:Reinforcement, indifference or compensation?

This paper analyses the relationships between the autonomy and regulation of state agencies in Norway, Ireland and Flanders (Belgium). The empirical basis is provided by broad surveys of public sector organizations carried out in 2002-2004. Three hypotheses on these relationships are formulated and examined, indicating different patterns. The reinforcement hypothesis, stating a negative relationship does not get any support. On the other hand, the compensation hypothesis, stating a positive relationship gets some support. In general, however, the indifference hypothesis, stating low or no correlations seems to be the most adequate. The hypotheses are also linked to prevalent administrative doctrines, and the empirical findings indicate how relevant they are. © Springer Science+Business Media, LLC 2008.