资本结构与员工劳动生产率

债务作为重要的公司治理手段,可以降低企业、管理层与员工之间的委托代理成本,提高员工劳动生产率.同时,债务水平上升将提高企业破产风险,对企业和员工的人力资本投入与员工劳动生产率可能产生不利影响.以我国1999年一2014年工业企业上市公司为样本,本文不同佑计方法的实证结果均表明企业的债务水平越高,员工劳动生产率越低.在其他因素不变的情况下,企业的财务困境加剧了债务对员工劳动生产率的不利影响;债务对员工劳动生产率的负作用在人力资本依赖度高的公司以及在外部就业环境好的地区更加显著.对于债务与员工劳动生产率作用的中介效应分析与分位数回归结果也说明债务上升可能导致企业人力资本投资下降,对员工劳动生产率产生不利影响.研究为我国“去杠杆”经济政策提供了微观企业层面的经验证据.     

A Literature Review of Organizational Behavior Management Interventions in Human Service Settings from 1990 to 2016

We reviewed the Journal of Applied Behavior Analysis (JABA), Journal of Organizational Behavior Management (JOBM), and Behavior Analysis in Practice (BAP) from 1990 to 2016, to identify articles that evaluated organizational behavior management interventions in a human service setting. Of those articles, 75 articles met the inclusion criteria for the review, 44 from JABA (1990 to 2016), 22 from JOBM (1990 to 2016), and 7 from BAP (2008 to 2016). We categorized each selected article by setting, employee population, client population, assessment, dependent variable, independent variable, and outcome measures. Results from the review are discussed for all three journals. Recommendations are made to broaden the scope of population and dependent variable targets, include more assessments, and include outcome data when applicable.     

An Evaluation of Staff Preference for Graphic Characteristics

The purpose of the current study was to assess staff preference for how data were displayed on graphs. Specifically, preference for line versus bar graphs was assessed, as well as preference for data displayed as one date in time versus multiple dates showing performance trends. A secondary purpose of the study was to assess staff comprehension of the data presented across different graphic displays. Participants included 60 entry-level direct care staff and 25 seasoned therapists. Therapists had more advanced training in applied behavior analysis than the direct care staff. The vast majority of direct care staff preferred data depicted as a bar graph versus data depicted as a line graph, even preferring a single bar graph over a time-series line graph. The therapists preferred time-series line graphs to bar graphs. Most staff demonstrated understanding of the data, regardless of how it was depicted.     

Using In Vitro High‐Throughput Screening Data for Predicting Benzo[k]Fluoranthene Human Health Hazards

Today there are more than 80,000 chemicals in commerce and the environment. The potential human health risks are unknown for the vast majority of these chemicals as they lack human health risk assessments, toxicity reference values, and risk screening values. We aim to use computational toxicology and quantitative high‐throughput screening (qHTS) technologies to fill these data gaps, and begin to prioritize these chemicals for additional assessment. In this pilot, we demonstrate how we were able to identify that benzo[k]fluoranthene may induce DNA damage and steatosis using qHTS data and two separate adverse outcome pathways (AOPs). We also demonstrate how bootstrap natural spline‐based meta‐regression can be used to integrate data across multiple assay replicates to generate a concentration–response curve. We used this analysis to calculate an in vitro point of departure of 0.751 μM and risk‐specific in vitro concentrations of 0.29 μM and 0.28 μM for 1:1,000 and 1:10,000 risk, respectively, for DNA damage. Based on the available evidence, and considering that only a single HSD17B4 assay is available, we have low overall confidence in the steatosis hazard identification. This case study suggests that coupling qHTS assays with AOPs and ontologies will facilitate hazard identification. Combining this with quantitative evidence integration methods, such as bootstrap meta‐regression, may allow risk assessors to identify points of departure and risk‐specific internal/in vitro concentrations. These results are sufficient to prioritize the chemicals; however, in the longer term we will need to estimate external doses for risk screening purposes, such as through margin of exposure methods.     

Integrating Behavioral Science with Human Factors to Address Process Safety

ABSTRACT

Applying the science of human factors to eliminate error across all aspects of process design, management, operation, and maintenance has been a focus in the process safety area for many years. Human error has been attributed as a major cause of many high profile catastrophic accidents around the world. These accidents have resulted in national and international attention, which has led to a focus on improving organizational capabilities, systems, and in many cases, governmental regulations around human factors. This article provides a review of the field of human factors highlighting various topics in the literature, and introduces governmental regulatory bodies currently engaging organizations in a scientific approach to human factors. Finally, the need for integrating behavioral science methodologies with human factors is addressed. This is done with specific focus on how Organizational Behavior Management methodologies can work in concert with human factors to optimize process safety.     

Operational Risk in Financial Services: A Review and New Research Opportunities

We present a framework to describe and analyze operational risk in financial services from an operations management perspective, focusing in particular on process design, process management, and human behavior aspects. The financial services industry differs from other service industries in ways that affect the nature of the operational risks it is subject to. In recent decades, many books and papers have focused on operational risk in financial services; however, this literature has focused mainly on the conceptual and statistical aspects of operational risk management and not on its operational aspects. Operational risk in financial services has not received much attention from the operations management community. The framework presented here is based on the premise that operational risk in financial services can reap significant benefits from research done in the theory and practice of operations management in manufacturing industries as well as in other services industries. The objective of this study is to propose particular challenges and questions raised in the practice of operational risk management that may stimulate future research in this particular area of operations management.     

Estimation of Deprivation Level Functions using a Numerical Rating Scale

Evaluating and quantifying human suffering in humanitarian operations offers an innovative and potentially powerful way to assess the performance of humanitarian logistics (HL) and help build optimization models. Previous studies have suggested deprivation cost as a metric and have estimated deprivation cost functions for water using willingness‐to‐pay. Our study proposes deprivation levels, defined as the degree of human suffering caused by lack of access to a good or service, and estimates deprivation level functions using a numerical rating scale. Analyzing data collected from respondents with and without disaster experience, we find that individuals in the latter category estimate deprivation differently from the beneficiaries of disaster relief. Our study demonstrates that deprivation levels can be expressed as logistic growth functions with a typical S‐shape, and that these can be integrated into HL optimization models to better account for human suffering.     

人力资源管理系统影响企业绩效的复杂性机理——基于高新技术企业的实证研究

破解人力资源管理系统影响企业绩效的机理是战略人力资源管理研究领域的核心问题。基于164家高新技术企业的调查数据,采用层级回归模型检验了人力资源管理系统与企业绩效间的复杂性机理。结果显示,人力资源管理系统对企业绩效的正向直接效应显著,影响二者关系的外生变量是创新战略非高管价值观;人力资本在二者关系间的中介效应不显著,但以组织氛围为控制变量时中介效应有了显著提高;"组织氛围调节下的人力资本中介作用模型"很好地刻画人力资本发挥中介效应的机理。研究结果强化了我们对人力资源管理系统与企业绩效关系机理的认知,同时为高新技术企业管理者在实践中管理员工提供了有益启示。     

组织心理契约违背对管理者行为的影响

为了研究组织心理契约违背与管理者行为之间的关系,对512位组织管理者进行定量研究和结构方差验证,结论如下:1.组织对管理者的心理契约由三维结构构成,分别是交易型心理契约、关系型心理契约和管理型心理契约,其中管理型心理契约是组织与一般员工之间所不具备的心理契约形式,体现了组织与管理者之间的一种特异关系;2.组织的管理型心理契约违背导致管理者退出和忽略行为增加,组织忠诚和呼吁行为减少;组织的交易型心理契约违背导致管理者退出行为增加和呼吁行为减少;组织的关系型心理契约违背导致管理者忽略行为减少.3.管理型心理契约和交易型心理契约是管理者更加关注的两种心理契约形式,而对关系型心理契约的关注则相对较少.     

企业组织中人力资本道德风险因素分析

基于市场里的企业是“一个人力资本与非人力资本的特别合约”的观点,就人力资本的道德风险问题进行了研究。认为影响人力资本道德风险的因素主要有诚实履行合约后的正常收益、道德风险行为被发现的概率、贴现因子、道德风险行为的额外收益以及道德风险行为被发现后的次优收益。并且以预期收益为目标建立了数学模型,分析人力资本道德风险行为动机与影响因素之间的关系,提出了相关的激励、约束及协作策略。最后,讨论了随机因素的影响。