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...     

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...     

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.     

一种动态加权的LDPC译码方法

为了加快低密度奇偶校验（LDPC）码的译码速度，有效改善LDPC码的译码性能，针对校验节点更新过程中的对数似然比（LLR）值的大小，设计了一种LDPC码的动态加权译码方法。以IEEE 802.16e标准的奇偶校验矩阵为例，根据LLR值的变化规律，利用增长因子和抑制因子对和积译码算法和最小和译码算法进行动态加权。仿真结果显示，基于动态加权的译码方法相对于传统译码方法误码率都有明显改进，译码复杂度也有所降低。     

利用大数据分析技术的智能化网络故障诊断系统

随着网络技术的快速发展以及各种新网络业务的出现，网络的规模日益扩大和复杂。同时，各种网络服务对于网络可靠性的要求也逐渐提高，这就对网络的维护提出了更高的要求。在这种情况下，传统的网络维护模式逐渐不能适应现代网络发展的需求。针对现代大型网络的故障诊断问题，利用大数据分析技术，设计并完成了一套整体的智能化故障诊断系统。在此系统中，针对不同的故障类型，利用能够获取到的数据类型，针对性地设计了相关的故障诊断模块和算法。系统整体基于开源的数据处理平台构建，具备良好的可扩展性。通过实际案例数据的验证，结果表明此系统具备良好的处理实际网络故障的能力，将大数据分析技术应用于网络故障诊断领域也具备较强的可行性。     

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.     

Career mentoring in context: A multilevel study on differentiated career mentoring and career mentoring climate

This study explores how supervisor career mentoring contributes to contemporary organizational career development, which strives to foster employees' promotability while strengthening their intention to stay. Specifically, we focus on the implications of career mentoring in team contexts. Applying a multilevel framework, we distinguish between individual‐level differentiated mentoring (i.e., an employee's mentoring perceptions as compared to those of other team members) and group‐level career mentoring climate (i.e., the average perception across all group members). In a workplace setting, we collected data from vocational job starters (N ranged from 230 to 290) and their company supervisors (N ranged from 56 to 68). We find that career mentoring climate positively relates to promotability, more so than differentiated career mentoring. Both career mentoring climate and differentiated career mentoring are positively related to the intention to stay. At the individual level, this relationship is mediated by job satisfaction. We discuss theoretical and practical implications of differentiated and group‐level mentoring.