Regulatory Institutional Distance and MNCs' Subsidiary Performance: Climbing up Vs. Climbing Down the Institutional Ladder

We investigate the possibility of regulatory institutional distance exerting an asymmetric effect on multinational corporations' (MNCs') subsidiary performance depending on the direction of institutional distance. We use the term ‘institutional ladder’ to differentiate between upward distance, referred to as when the subsidiary is operating in a relatively stronger institutional environment than its parent-firm's home country, and downward distance for vice versa. Combining institutional theory with organisational imprinting and learning perspectives, we argue that the implications of regulatory institutional distance on subsidiary performance are relatively more positive (or less negative) when MNCs are climbing down the institutional ladder as compared to when MNCs are climbing up the institutional ladder. We also argue that subsidiary ownership strategy – i.e. the choice of a wholly owned subsidiary (WOS) versus joint venture (JV) – moderates the above-mentioned implications of institutional distance on subsidiary performance. We test these hypotheses based on a panel data-set of 1936 foreign subsidiaries representing 70 host countries and 66 home countries and spanning the 12-year period: 2002–2013.     

A new look at clustering coefficients with generalization to weighted and multi-faction networks

In this paper we propose a new method for studying local and global clustering in networks employing random walk pairs. The method is intuitive and directly generalizes standard local and global clustering coefficients to weighted networks and networks containing nodes of multiple types. In the case of two-mode networks the values obtained for commonly considered social networks are in sharp contrast to those obtained, for instance, by the method of Opsahl (2013), and provide a different viewpoint for clustering. The approach is also applicable in questions related to the general study of segregation and homophily. Applications to existent data sets are considered.     

Leader-member exchange and organizational citizenship behaviors: Contextual effects of leader power distance and group task interdependence

In this paper we explore the context of the relationship between leader-member exchange and organizational citizenship behaviors (OCB). We maintain that workgroup leader's power distance and the extent of task interdependence in the group exert cross-level effects on the LMX-OCB relationship. We assert that leader power distance attenuates the relationship between LMX and OCB, and this effect is stronger in workgroups with high degree of task interdependence. Results of hierarchical linear modeling analysis of data gathered from 245 employees nested in 54 workgroups supported our hypotheses. LMX-OCB relationship was weaker in workgroups led by high power distance leaders. Further, the three-way cross-level interaction between LMX, leader power distance and group task interdependence demonstrated that the tendency for LMX to have a stronger positive effect on OCB when leader power distance was low rather than high was more pronounced in high task interdependence teams.     

基于混合加权距离的毕达哥拉斯模糊TOPSIS多属性决策方法研究

针对决策信息为毕达哥拉斯模糊集的多属性决策问题，提出了一种基于混合加权测度的TOPSIS决策方法。在分析了现有距离测度方法不足的基础上，首先给出了一种新的毕达哥拉斯模糊距离测度——毕达哥拉斯模糊有序加权距离（PFOWD），并研究了该测度权重的确定方法；在PFOWD基础上，进一步提出了毕达哥拉斯模糊混合加权距离（PFHWD），同时探讨了其特征和与现有毕达哥拉斯模糊测度的关系；最后提出了一种基于PFHWD测度的毕达哥拉斯模糊TOPSIS多属性方法，并用实例验证了方法的有效性和可行性。     

Compensation or competition: Bias in immigrants' access to active labour market measures

Whether participation in active labour market programmes (ALMPs) pushes individuals back into employment depends on the programme's characteristics. On the basis of encompassing registry data that allow us to control for usually unobserved employability, we find evidence of a systematic access bias whereby jobcentre caseworkers in Switzerland assign unemployed persons to activation measures based on a competition logic that is mainly driven by an economic rationale and the jobcentre's performance evaluation. This practice seems problematic because it results in an overrepresentation of immigrants in measures with little efficacy rather than in measures that could compensate for employability disadvantages. Conversely, Swiss citizens are more likely to enter beneficial human-capital-intensive measures. It is plausible that this discrepancy in programme participation amplifies the general labour market disadvantages of immigrants.     

Comparing Possibly Misspecified Forecasts

Abstract

Recent work has emphasized the importance of evaluating estimates of a statistical functional (such as a conditional mean, quantile, or distribution) using a loss function that is consistent for the functional of interest, of which there is an infinite number. If forecasters all use correctly specified models free from estimation error, and if the information sets of competing forecasters are nested, then the ranking induced by a single consistent loss function is sufficient for the ranking by any consistent loss function. This article shows, via analytical results and realistic simulation-based analyses, that the presence of misspecified models, parameter estimation error, or nonnested information sets, leads generally to sensitivity to the choice of (consistent) loss function. Thus, rather than merely specifying the target functional, which narrows the set of relevant loss functions only to the class of loss functions consistent for that functional, forecast consumers or survey designers should specify the single specific loss function that will be used to evaluate forecasts. An application to survey forecasts of U.S. inflation illustrates the results.     

翻转课堂视域下开放教育课程教学模式探讨——以《人力资源管理》课程为例

在《人力资源管理》教学中利用翻转课堂模式将会有利于学习者应用能力培养与提升。在论述了翻转课堂的内涵、开放教育学习者及《人力资源管理》课程特点基础上,探讨了翻转课堂下开放教育《人力资源管理》课的教学模式,并对模式实施中的问题进行分析,提出了丰富教学资源、促进教师角色转换、完善学习评价机制等策略。     

Strategic corporate sustainability performance of Chinese state-owned listed firms: A meta-frontier generalized directional distance function approach

Although sustainability recently became a key factor in social science, little progress has been made toward improving the measurement of sustainability performance. This paper proposes composite corporate sustainability performance indicators using a meta-frontier generalized directional distance function. This advanced approach can measure the efficiency of corporate social responsibility activities by benchmarking, while simultaneously considering industrial heterogeneities, using the meta-frontier approach. First, we propose the concept of a meta-frontier generalized directional distance function. Second, several standardized composite indicators related to corporate sustainability performance are developed. The meta-frontier directional distance function is estimated by solving a series of data envelopment analysis models. Chinese state-owned listed enterprises are then empirically examined using the proposed model. We find significant group heterogeneities in terms of corporate sustainability performance. We also derive some policy implications using the empirical results.     

Outlier detection in high-dimensional regression model

An outlier is defined as an observation that is significantly different from the others in its dataset. In high-dimensional regression analysis, datasets often contain a portion of outliers. It is important to identify and eliminate the outliers for fitting a model to a dataset. In this paper, a novel outlier detection method is proposed for high-dimensional regression problems. The leave-one-out idea is utilized to construct a novel outlier detection measure based on distance correlation, and then an outlier detection procedure is proposed. The proposed method enjoys several advantages. First, the outlier detection measure can be simply calculated, and the detection procedure works efficiently even for high-dimensional regression data. Moreover, it can deal with a general regression, which does not require specification of a linear regression model. Finally, simulation studies show that the proposed method behaves well for detecting outliers in high-dimensional regression model and performs better than some other competing methods.     

Thinking through tragedy: critical distance and the law of genre

Abstract

This article focuses on two problems associated with tragedy. One ancient: what is it that draws us to the dramatic presentation of events of terrible suffering and loss? And one modern: namely, that while tragedies are still performed and appreciated, little new tragedy is being written. It will be argued in relation to the second problem that the vitality of tragedy as a dramatic form requires a less rigid approach to what might be considered tragic. And in relation to the first problem it will be argued that this more expansive conception of tragedy will allow an understanding of the ‘pay-off’ of tragedy in a way that draws both on the tradition that focuses on tragedy as cathartic therapeutic, and on the tradition that sees it as a thought laboratory that allows ethical dilemmas to be posed and explored from different perspectives. This argument constitutes a two-fold dialectical synthesis (emotional and intellectual approaches to tragedy on the one hand and the technical and popular use of the word ‘tragedy’ on the other) and the effect of this is to facilitate an understanding of tragedy as establishing a ‘critical distance’ that sets the scene for the possibility of thinking.