The cross‐cultural study of LMX and individual employee voice: The moderating role of conflict avoidance

This article examines the role of national culture, measured by conflict avoidance, on the relationship between leader–member exchange (LMX) and individual employee voice. Using data collected from automotive industry employees in the United States and Korea, the findings show that conflict avoidance is negatively related to employee voice and also moderates the relationship between LMX and employee voice in the Korean sample. In particular, the relationship between LMX and voice becomes less positive when conflict avoidance is high. On the other hand, conflict avoidance does not have a direct effect on employee voice as well as an interactive effect with LMX on employee voice in the U.S. sample. This study, therefore, highlights the importance of the national culture in the comparative study of employee voice.     

Contracting and Reporting Conservatism around a Change in Fiduciary Duties*

We exploit an influential 1991 Delaware court ruling to examine simultaneously two types of conservatism that play important roles in resolving creditor–owner agency conflicts: contracting conservatism and reporting conservatism. The ruling expanded managerial fiduciary duties in favor of creditors for Delaware-incorporated firms in the vicinity of insolvency. In those firms, following the ruling, debt contracts are less likely to include conservative adjustments to accounting numbers used for covenant compliance (i.e., contracting conservatism decreases), while public financial reporting becomes more conservative (i.e., reporting conservatism increases). The decrease in contracting conservatism is concentrated in firms that exhibit a greater increase in reporting conservatism, suggesting that reporting conservatism is more cost-effective in resolving agency conflicts. In addition, the substitution effect is more pronounced in firms facing greater business uncertainty and firms with greater board independence.     

How Owners Matter? An Examination of Ownership Type in Corporate Disaster Relief Giving

Little research has investigated the effect of ownership identity (or type) and corporate philanthropy experience on giving. In this research, relying on legitimacy theory, we first assess the effect of ownership identity on corporate philanthropy (CP) in the context of the 2008 earthquake in China. Then we explore moderation effects of firms' prior CP experience and size as proxies for perceived legitimacy on owners' efforts at increasing giving and legitimacy. We find that state and CEO ownership are deterrents, while non‐SOE and institutional ownership enhances giving probability and amount. In addition, there is evidence that firm size and prior CP weaken the effects of institutional ownership on CP. This study provides a complete assessment of owner behaviour. Copyright © 2018 ASAC. Published by John Wiley & Sons, Ltd.     

Pursuing your leader development: Lessons from 101 executives

To lead effectively in a VUCA (i.e., volatile, uncertain, complex, and ambiguous) environment, leaders must quickly and continuously acquire new skills. However, formal development opportunities aren’t nearly enough to support the ongoing skill development leaders need to manage the level of complexity and change they are facing. Instead, leaders must take ownership of their own development. In this paper, we describe a straightforward, four-step process that leaders can implement to pursue their individualized development through leader development planning. Specifically, we walk leaders through the evidence-based steps of creating their unique leader development plan (LDP), including (1) identifying their leadership strengths and weaknesses, (2) setting effective leader development goals, (3) designing SMART strategies, and (4) reflecting, refining, and realigning their plan. Throughout the article, we detail positive examples as well as common pitfalls that we observed from our work supporting 101 mid- to senior-level leaders in designing their LDPs. Our purpose in doing so is to provide tools and examples to enable leaders at all levels to drive their development at their own pace.     

Deep learning for modeling the collection rate for third-party buyers

This study evaluates a wide range of machine learning techniques such as deep learning, boosting, and support vector regression to predict the collection rate of more than 65,000 defaulted consumer credits from the telecommunications sector that were bought by a German third-party company. Weighted performance measures were defined based on the value of exposure at default for comparing collection rate models. The approach proposed in this paper is useful for a third-party company in managing the risk of a portfolio of defaulted credit that it purchases. The main finding is that one of the machine learning models we investigate, the deep learning model, performs significantly better out-of-sample than all other methods that can be used by an acquirer of defaulted credits based on weighted-performance measures. By using unweighted performance measures, deep learning and boosting perform similarly. Moreover, we find that using a training set with a larger proportion of the dataset does not improve prediction accuracy significantly when deep learning is used. The general conclusion is that deep learning is a potentially performance-enhancing tool for credit risk management.     

Some Potential Linkages for Input-Output Analysis with Flow-of-Funds

Three major, interrelated accounting statements, at the frontiers of quantitative economic analysis, are three interrelated systems, namely: (1) National income and product accounts (NIPA), (2) The input-output tableaux, (IO), and (3) flow-of- funds accounts (FF). The third-mentioned system is somewhat less available and used in only limited areas of macroeconomic analysis. This paper is mainly concerned with use of FF accounting systems. This system shows where financial resources originate, and where they go in support of real capital formation. In this respect, interest rates and other market-based financial rates are of key importance. While much macroeconomic analysis is based on the rates that fit the yield curve, showing the interest rate structure over various maturities of debt associated with a given degree of risk. In contrast, the FF accounts throw light on the whole spectrum of interest rates, across maturities and debt qualities. For example, in analysis of the real estate market and funding of capital formation there, it is important to have a full understanding of the course of mortgage rates of different maturities and qualities. In short, it is necessary to develop a full appreciation of supply and demand forces in the mortgage market, which often is not obviously related to movements of the operative rate for monetary policy, such as very short-term inter bank rates or call money rates. This paper attempts to provide material from the flow-of-funds accounts that would make it possible to analyze the movement of relevant mortgage rates or whatever other rates are needed to understand the financing of capital formation in real estate.     

我国国债的风险评估与防范

从国债的可持续性、国债的货币扩张效应、国债对经济增长的影响三个层面评估了我国当前的国债风险，并针对我国的国债特点，提出了防范国债风险的措施。     

城市房屋拆迁中的公共利益在程序法上的界定——兼评《城市房屋拆迁管理条例》第十六条

公共利益内涵在立法上的缺失,造成大量个人利益被侵犯的案例,在城市房屋拆迁中尤其突出。本文通过探讨如何从程序上赋予受公共利益影响者参与对公共利益内涵的确定以及在个人利益受到侵犯时给予司法救济的途径的问题,试图从法律程序上限制政府对公共利益的滥用,并最大程度地维护公民的个人利益,以此暂时回避对公共利益内涵问题的探讨。     

国债规模的均衡数量及优化

笔者基于世代交叠模型,假定政府执行赤字预算体制,在市场结清的均衡状态下得到了确定国债规模与私人资本规模之比值的解析式。通过模拟发现税率、基本财政支出率、产出关于私人资本的弹性等是决定该比值大小的主要因素。     

西方现代股利政策理论及实证研究回顾

本文对西方现代公司股利政策方面的理论和实证研究进行了一个综合性的回顾和分析。其中包括主流的股利行为模型、股利的信息内涵、代理成本、追随者效应,也包括国内研究中较少涉及的债务约束、声誉学说、成长机会和交易成本问题,以期对国内相对落后的股利政策研究和随意性较强的股利政策制定带来一定的借鉴意义。