Taking (and Sharing Power): How Boards of Directors Can Bring About Greater Fairness for Dependent Stakeholders

One of the ways in which scholars have sought to broaden the discussion of the social responsibilities of corporations and their managers is through the development of the stakeholder concept. The primacy of shareholder interests in corporate‐governance processes and managerial action is, however, a myth that justifies all sorts of managerial self‐interest seeking and exploitation of particular stakeholder groups. What makes this myth particularly problematic—from the standpoint of fairness and corporate governance—is that not all nonshareholder stakeholders are equally situated with regard to their ability to secure fair treatment. In this article, I explore the ethical dimensions of board responsibilities to dependent stakeholder groups by first describing the differences between shareholders and nonshareholder stakeholders with regard to risk, examining why dependent stakeholders (stakeholders with legitimate and urgent claims, but no power) are particularly important from the standpoint of stakeholder risk, and discussing how stakeholder consultation might provide a partial fix to such problems. I will conclude with proposals for how boards can more faithfully discharge their ethical responsibilities to dependent stakeholder groups, and in so doing facilitate stakeholder involvement in corporate governance in ways that promote fairness in organization–stakeholder relationships.     

Business–NGO Interactions in a Multi‐Stakeholder Context

The main purpose of this paper is to contribute to our understanding of the conditions under which Business–nongovernmental organization (NGO) interactions lead to improvements in corporate social responsibility (CSR), by assessing the role that the stakeholder context of the firm plays in the processes. As a case study it takes an interaction process between one NGO and one company with both collaborative and confrontational traits, spanning eight years and two issue fields, palm oil and soy, which are characterized by varying stakeholder contexts. The analysis demonstrates that the business–NGO interaction induced a change from a direct to an indirect corporate responsibility, and clarifies how interdependencies between the company and other stakeholders than the NGO influenced the interaction. The stakeholder interdependencies vary per issue field: In some issue fields, the stakeholder context allows for effective, collaborative interaction between business and NGO, while in another issue field, characterized by different stakeholder interdependencies, collaborative, constructive interactionbetween the same business and the same NGO is not feasible and, in addition, less effective in terms of CSR than confrontational interaction.     

Sustainability as global attractor: the greening of the 2008 Beijing Olympics

If one interprets sustainability as an attractor, it means that across time and place notions and ideas of sustainability structure, order and pattern institutions and practices. One can effectively explore the idea that sustainability is turning into a global attractor through mega events. As high profile and very visible happenings that attract worldwide attention, it is difficult to ignore common and widely shared norms on sustainability in the route towards such events. In investigating the 2008 Beijing Olympics I conclude that sustainability norms indeed restructured and patterned this global mega event. Moreover, these sustainability norms are crystallized, institutionalized and fixed in material and social structures, and thus will likely have some permanency.     

Choosing Priors for Constrained Analysis of Variance: Methods Based on Training Data

Abstract. This article combines the best of both objective and subjective Bayesian inference in specifying priors for inequality and equality constrained analysis of variance models. Objectivity can be found in the use of training data to specify a prior distribution, subjectivity can be found in restrictions on the prior to formulate models. The aim of this article is to find the best model in a set of models specified using inequality and equality constraints on the model parameters. For the evaluation of the models an encompassing prior approach is used. The advantage of this approach is that only a prior for the unconstrained encompassing model needs to be specified. The priors for all constrained models can be derived from this encompassing prior. Different choices for this encompassing prior will be considered and evaluated.     

On the Validity of the Bootstrap in Non‐Parametric Functional Regression

Abstract. We consider the functional non‐parametric regression model Y= r( χ )+?, where the response Y is univariate, χ is a functional covariate (i.e. valued in some infinite‐dimensional space), and the error ? satisfies E(? | χ ) = 0. For this model, the pointwise asymptotic normality of a kernel estimator of r (·) has been proved in the literature. To use this result for building pointwise confidence intervals for r (·), the asymptotic variance and bias of need to be estimated. However, the functional covariate setting makes this task very hard. To circumvent the estimation of these quantities, we propose to use a bootstrap procedure to approximate the distribution of . Both a naive and a wild bootstrap procedure are studied, and their asymptotic validity is proved. The obtained consistency results are discussed from a practical point of view via a simulation study. Finally, the wild bootstrap procedure is applied to a food industry quality problem to compute pointwise confidence intervals.     

Smoothed empirical likelihood confidence intervals for the relative distribution with left‐truncated and right‐censored data

The study of differences among groups is an interesting statistical topic in many applied fields. It is very common in this context to have data that are subject to mechanisms of loss of information, such as censoring and truncation. In the setting of a two‐sample problem with data subject to left truncation and right censoring, we develop an empirical likelihood method to do inference for the relative distribution. We obtain a nonparametric generalization of Wilks' theorem and construct nonparametric pointwise confidence intervals for the relative distribution. Finally, we analyse the coverage probability and length of these confidence intervals through a simulation study and illustrate their use with a real data set on gastric cancer. The Canadian Journal of Statistics 38: 453–473; 2010 © 2010 Statistical Society of Canada     

HOLD‐UP: WITH A VENGEANCE

When contracts are incomplete or unenforceable, inefficient levels of investment may occur because of hold‐up. If individuals care for negative reciprocity, these problems may be reduced, as revenge becomes a credible threat. However, negative reciprocity has this effect only when the investor holds the rights of control of the investment proceeds. We explore this issue analytically, deriving predictions for hold‐up games which differ as regards assignment of rights of control. We also test and support these predictions in an experiment. (JEL C72, C92, D23, L14)     

Diaspora and mapping methodologies: tracing transnational digital connections with ‘mattering maps’

There is a methodological tendency in work on diaspora and digital media for quantitative investigations to approach diaspora in static ways that contrast with theories of diaspora as a dynamic cultural formation. On the other hand, qualitative, ethnographic work tends not to engage with digital methods and quantitative data‐driven investigation. In this article, we sketch this methodological and disciplinary disconnect and address it by proposing a model for understanding digitally mediated formations of diaspora that combines digital methods techniques with a sensitivity to ethical and theoretical discussions of migration and diaspora. Drawing on interpretive epistemologies and feminist research ethics, we present a case study analysis of a locally informed, Turkish–Dutch issue. We argue for a method that produces ‘mattering maps’. This involves tracking and visualizing digital traces of an issue across web platforms (Google Search results, Facebook pages, and Instagram posts) and integrating this with an analysis of the face‐to‐face interview responses of a key issue actor.     

Perfect Simulation for Length-interacting Polygonal Markov Fields in the Plane

Abstract.  The purpose of this paper was to construct perfect samplers for length-interacting Arak–Clifford–Surgailis polygonal Markov fields in the plane with nodes of order 2 ( V -shaped nodes). This is achieved by providing for the polygonal fields a hard core marked point process representation with individual points carrying polygonal loops as their marks, so that the coupling from the past and clan of ancestors routines can be adopted.