Time Orientation in Languages and Tax Avoidance

Journal of Business Ethics - Studies suggest that when a language requires grammatical marking of future events, speakers prefer immediate payoffs and engage in less future-oriented behavior. If...     

The Ethics of Blockchain in Organizations

Journal of Business Ethics - Blockchain is an open digital ledger technology that has the capability of significantly altering the way that people operations (i.e. human resource management)...     

Influence of European Law on Argentinian Consumer Law

Journal of Consumer Policy - This article provides an overview on the social and political contexts of the rise of consumer legislation in Argentina, on the development of consumer law in Argentina...     

Why Disability Mainstreaming is Good for Business: A New Narrative

Journal of Business Ethics - In developed economies, powerful legislative and regulatory frameworks, for people with disability (PWD) over the last five decades, have provided major motivation for...     

Evaluating an Agricultural Extension Program Aimed at Improving Biodiversity in Alberta,Canada

We evaluate an agricultural extension program aimed at increasing on‐farm biodiversity in Alberta. Using reports prepared for program participants by the extension agency, customized surveys were used to collect data on whether recommended practices were adopted. Data were also collected from producers who were willing but unable to participate in the program due to its unexpected cancellation. A count model compared the number of practices adopted by participants and nonparticipants to evaluate the program's efficacy, and a probit model using participants’ adoption data were used to understand factors affecting adoption. Simple, low‐cost, and easily trialed practices were adopted at high rates, though some higher cost practices associated with observable benefits were also adopted at moderate or high rates. Farm‐specific characteristics, such as size, tenure, or group membership were also significantly linked to the likelihood of adoption. Results suggest that the extension program was successful in encouraging adoption of environmentally beneficial practices with caveats; project completion and quality were not verified, and decreasing marginal returns to extension efforts may have been realized within the small participant pool. Nous évaluons un programme d'éducation permanente en agriculture visant l'augmentation de la biodiversité fermière en Alberta. Utilisant des rapports préparés par les agences d'éducation pour les participants de programmes, des sondages individualisés ont servi à la collecte de données concernant l'adoption de pratiques recommandées. Des données ont aussi été recueillies auprès de producteurs qui auraient voulu participer mais qui n'ont pas profité du programme suivant son annulation inattendue. Un modèle de comptage a servi à comparer le nombre de pratiques adoptées par les participants et non‐participants pour évaluer l'efficacité du programme, et un modèle probit basé sur les données d'adoption par les participants a servi à comprendre les facteurs ayant un impact sur l'adoption. Les pratiques simples, peu coûteuses et faciles à tester ont été hautement adoptées. Certaines pratiques à coûts plus élevés, associées à des avantages observables, ont aussi vu des taux moyens et élevés d'adoption. Les caractéristiques spécifiques aux exploitations agricoles comme la taille, la longévité et l'adhésion à un groupe se sont aussi trouvées liées de façon significative aux probabilités d'adoption. Les résultats suggèrent que le programme d'éducation permanente a réussi à encourager l'adoption de pratiques bénéfiques pour l'environnement avec quelques bémols: la réalisation des projets et leur qualité n'ont pas fait l'objet de vérification, et la diminution des rendements marginaux en fonction des efforts d'éducation pourrait avoir été réalisée dans le cadre d'un petit bassin de participants.     

Data-based mechanistic modelling and forecasting globally averaged surface temperature

The main objective of this paper it to model the dynamic relationship between global averaged measures of Total Radiative Forcing (RTF) and surface temperature, measured by the Global Temperature Anomaly (GTA), and then use this model to forecast the GTA. The analysis utilizes the Data-Based Mechanistic (DBM) approach to the modelling and forecasting where, in this application, the unobserved component model includes a novel hybrid Box-Jenkins stochastic model in which the relationship between RTF and GTA is based on a continuous time transfer function (differential equation) model. This model then provides the basis for short term, inter-annual to decadal, forecasting of the GTA, using a transfer function form of the Kalman Filter, which produces a good prediction of the ‘pause’ or ‘levelling’ in the temperature rise over the period 2000 to 2011. This derives in part from the effects of a quasi-periodic component that is modelled and forecast by a Dynamic Harmonic Regression (DHR) relationship and is shown to be correlated with the Atlantic Multidecadal Oscillation (AMO) index.     

When trade unions turn to litigation: ‘getting all the ducks in a row’

Driven by their members' demands and the need to adopt more combative legal strategies in order to oppose the deterioration of working and employment conditions, British trade unions have developed in‐house legal expertise and supported many individual and multiple claims. This article investigates the variation in unions' legal practices and examines their organisational responses to law and the role of compliance professionals in the regulation of employment litigation. It provides a nuanced account of the influence of legal rationality on the framing of union strategies and shows that, under certain conditions, trade unions are able to build multi‐pronged tactics by using litigation as a complement to other forms of action.     

Multi-level and mixed-level <Emphasis Type="Italic">k</Emphasis>-circulant supersaturated designs

Supersaturated designs (SSDs) constitute an important class of fractional factorial designs that could be extremely useful in factor screening experiments. Most of the existing studies have focused on balanced designs. This paper provides a new lower bound for the \(E(f_{NOD})\)-optimality measure of SSDs with general run sizes. This bound is a generalization of existing bounds since it is applicable to both balanced and unbalanced designs. Optimal multi and mixed-level, balanced and nearly balanced SSDs are constructed by applying a k-circulant type methodology. Necessary and sufficient conditions are introduced for the generator vectors, in order to pre-ensure the optimality of the constructed k-circulant SSDs. The provided lower bounds were used to measure the efficiency of the generated designs. The presented methodology leads to a number of new families of improved SSDs, providing tools for directly constructing optimal or nearly-optimal k-circulant designs by just checking the corresponding generator vector.     

Advance selling of new products to strategic consumers on flash sale platforms*

Flash sale (FS) is a new business model that offers discounted products in limited numbers over a short period. In this paper we discuss the impact of strategic consumers on advance selling (AS) of new products on FS platforms. We first study the impact of strategic consumers on competing retailers adopting AS to sell a homogeneous new product. And find that the retailers’ AS profits and inventory quantities decrease with the strategic customers’ valuation and valuation decreasing rate. Then we analyse whether FS can mitigate the impact of strategic customers on retailers adopting AS for new products. We consider a newsvendor model involving only one retailer adopting AS to sell a new product. We derive the results by comparing this model with two counterpart models, namely the classical newsvendor model with no strategic customers and a newsvendor model with strategic customers where the retailer does not use FS under AS.