Corporate social responsibility and worker skills: An examination of corporate responses to work place illiteracy

Using perceptions of human resource managers of top management's attitude toward corporate social responsibility, a survey of private sector firms (n=407) revealed that over half of those that employed basic-skill deficient employees took legal or economic views of corporate social responsibility toward these workers. These attitudes were confirmed by organizational policies. Employers with social obligation tendencies were less likely to undertake proactive programs such as basic skill training, deskilling, or related supervisory training. Corporate philosophies were almost independent of organizational variables. One exception was manufacturing firms that were more likely to take a legal-economic view of illiterate employees; however, the relationship was weak. Little evidence was found that skill shortages or union pressures are resulting in corporate proactive programs. Implications for research and practice are discussed.Dr. Claire J. Anderson is Associate Professor at the College of Business Administration, Old Dominion University, Norfolk, Virginia. Her research interests include human resources management and organizational behavior as well as business ethics. She has published articles in a number of academic and professional publications.Data for this article were drawn from a study jointly sponsored by Commerce Clearing House and the Society for Human Resource Management.     

Responsibilities,recession and the tourism sector: perspectives on CSR among low-fares airlines during the economic downturn in the UK

Responsibility has featured prominently in recent discussions about tourism governance. Nevertheless, research into corporate social responsibility (CSR) among travel and tourism businesses is at a relatively early stage. This paper reports on external stakeholders' perceptions of CSR among low-fares airlines (LFAs) in peripheral regions of the UK in late 2008; that is, during the current global economic downturn. LFAs, their business plans and their ability to contribute towards sustainable development have been the source of much public discourse and media scrutiny in the last decade. This paper does not set out to reopen that debate per se. Rather, it contributes to a deeper understanding of CSR in the tourism sector by arguing for a more nuanced approach to external stakeholders, one which is also informed by primary empirical research from qualitative sources, and which is conceptually informed by the latest thinking from other sectors of economic activity. Important inter-regional variations exist in external stakeholders' perceptions and valorisations of CSR, they are context-specific, and they are not static as their responses to the recent downturn reveal.     

Developing Ethical Confidence: The Impact of Action-Oriented Ethics Instruction in an Accounting Curriculum

While there is considerable support for integrating ethics education in accounting curricula, research presents conflicting evidence on how best to incorporate it. A review of accounting ethics scholarship highlights criticisms of the literature, including limited research into actual behavior and a lack of theory. We report the results of a study that is theory based, captures behaviors rather than attitudes, and explores the effect of repeated practice to develop voice efficacy. We examine the impact of two types of ethics instructions. Across four classes in an accounting curriculum, one student cohort participated in traditional ethics instruction, while the other cohort participated in Giving Voice To Values (GVV) instruction. We collected student responses to an ethical challenge and conduct a between-subject analysis. The results reveal consistent unethical behavior in the traditional cohort but not in the GVV cohort, indicating that faculty should consider the use of this pedagogy in accounting ethics education.     

Robust risk aggregation with neural networks

We consider settings in which the distribution of a multivariate random variable is partly ambiguous. We assume the ambiguity lies on the level of the dependence structure, and that the marginal distributions are known. Furthermore, a current best guess for the distribution, called reference measure, is available. We work with the set of distributions that are both close to the given reference measure in a transportation distance (e.g., the Wasserstein distance), and additionally have the correct marginal structure. The goal is to find upper and lower bounds for integrals of interest with respect to distributions in this set. The described problem appears naturally in the context of risk aggregation. When aggregating different risks, the marginal distributions of these risks are known and the task is to quantify their joint effect on a given system. This is typically done by applying a meaningful risk measure to the sum of the individual risks. For this purpose, the stochastic interdependencies between the risks need to be specified. In practice, the models of this dependence structure are however subject to relatively high model ambiguity. The contribution of this paper is twofold: First, we derive a dual representation of the considered problem and prove that strong duality holds. Second, we propose a generally applicable and computationally feasible method, which relies on neural networks, in order to numerically solve the derived dual problem. The latter method is tested on a number of toy examples, before it is finally applied to perform robust risk aggregation in a real‐world instance.     

How frequent a BEER? Assessing the impact of data frequency on real exchange rate misalignment estimation

This article explores the robustness of Behavioural Equilibrium Exchange Rate models, employed to estimate real effective exchange rate misalignments, to the frequency of the underlying data. It compares misalignments stemming from an annual model, estimated since 1980, and a comparable quarterly model, estimated since 1999. The two sets of estimates are similar. Moreover, the in-sample power of quarterly REER misalignments in explaining subsequent REER developments is higher than that of the annual estimates. This article therefore suggests that the “optimal” frequency of a BEER model depends on whether its resulting estimates are employed for research purposes or for policy-making activities.     

Taxation,redistribution, and observability in social dilemmas

In the presence of social dilemmas, cooperation is more difficult to achieve when populations are heterogeneous because of conflicting interests within groups. We examine cooperation in the context of a nonlinear common pool resource game, in which individuals have unequal extraction capacities and have to decide on their extraction of resources from the common pool. We introduce monetary and nonmonetary mechanisms in this environment. The two monetary mechanisms are tax extraction and redistribution of the tax revenue. These include a Pigovian per‐unit tax mechanism and an increasing block tax that only taxes units extracted above the social optimum. Another mechanism varies the observability of individual decisions. We find that the two tax and redistribution mechanisms reduce extraction, increase efficiency, and decrease inequality within groups. In contrast, observability impacts only the baseline condition by encouraging free‐riding instead of creating moral pressure to cooperate.     

Post-earnings announcement drift and parameter uncertainty: evidence from industry and market news

Review of Quantitative Finance and Accounting - Post-earnings announcement drift (PEAD), one of the most prominent and robust return anomalies, is often attributed to investor naiveté or...     

The Underlying Mechanisms of Multiscreening Effects

Multiscreening, a relatively new form of media multitasking in which people use multiple screens simultaneously, has implications for the effects of persuasive messages due to limited cognitive capacities of people and concurrent modalities of the screens (i.e., both visual). The aim of the study is to examine underlying mechanisms (i.e., recognition, counterarguing, and enjoyment) of the effect of multiscreening on evaluative outcomes (i.e., brand attitude, message attitude, and purchase intention). The experiment (N = 182) showed that both recognition and counterarguing are underlying mechanisms of the effect of multiscreening on evaluative outcomes. Multiscreening has a negative effect on evaluative outcomes by recognition and a positive effect on evaluative outcomes by counterarguing.