Ethnic discrimination in hiring,labour market tightness and the business cycle - evidence from field experiments

Several studies using observational data suggest that ethnic discrimination increases in downturns of the economy. We investigate whether ethnic discrimination depends on labour market tightness using data from correspondence studies. We utilize three correspondence studies of the Swedish labour market and two different measures of labour market tightness. These two measures produce qualitatively similar results, and, opposite to the observational studies, suggest that ethnic discrimination in hiring decreases in downturns of the economy.     

企业孵化器国际研究的知识图谱分析

以Web of Science核心合集中收录的1990-2019年710篇企业孵化器相关文献为研究对象,基于CiteSpace可视化分析工具,绘制知识图谱。通过文献的时空分布,文献共被引分析,关键词共现网络分析等了解企业孵化器国际研究的概况、知识基础和研究热点。结果显示,企业孵化器国际研究发文量在近3年出现爆发式增长；知识基础大致可以分为两类：企业孵化器的作用和发展研究,对企业孵化器绩效的评估。研究热点主要集中在四个方面：企业孵化器绩效评价,企业孵化器绩效的影响因素分析,孵化网络与资源流动,孵化器对中小企业成长的影响。并提出对企业孵化器研究的未来展望。     

体外孵化项目的合法会计信息失真研究——以爱尔眼科为例

新经济、新业态的发展,新商业模式不断涌现,会计信息生产者按已有的会计准则和职业判断进行确认、计量、记录和报告,路径依赖下的会计处理程序可能会形成合法性信息失真。体外孵化成为企业扩张的加速器,也是隐藏风险的“雷”,目前的会计处理程序展现了一份资产、利润都高速增长的财务报表,而交易的风险可能被隐匿。本文以运用并购基金实现体外孵化的典型案例爱尔眼科作为研究对象,通过阐述体外孵化项目投资逻辑,分析复杂的商业交易造成控制权的模糊,致使其会计信息未反映经济实质以及内含的风险,以此提示信息使用者以及为监管层提供政策建议,当前会计准则和规范滞后商业模式发展,相关部门应该更关注市场的新商业模式以及其会计处理程序和信息披露监管。     

消费升级背景下大数据能力对商业模式创新的影响机理——基于小米和网易严选的案例研究

在消费升级背景下,数据正呈爆炸式增长,给企业带来了机遇与挑战,新的商业模式不断涌现。本文基于动态能力和大数据理论,以小米和网易严选为例,研究了在消费升级背景下大数据能力对商业模式创新的影响机理和路径问题,发现大数据能力通过客户价值、企业资源和能力、盈利模式驱动商业模式创新的三条路径。探讨了资源整合能力、深度分析能力和实时洞察与预测能力三个维度之间的关系,并构建出大数据能力对商业模式创新的影响机理模型,可以拓展大数据能力和现有企业商业模式创新的相关内容。     

互联网背景下消费扶贫的商业模式创新机理

消费扶贫通过消费需求拉动贫困户的劳动供给,实现扶志、扶智和扶贫的多重效果,具有可持续的长期效应。如何构建多方共赢的商业模式是消费扶贫成功的关键。本文基于全国比较典型的13个消费扶贫项目的一手和二手数据资料,从消费者和贫困户两类主体解析“消费扶贫”商业模式,运用NVivo软件进行三阶段质性编码构建模型,根据商业模式创新路径模型解释了道德型消费力对该类商业模式的内生性驱动作用,以及模式所产生的多态价值效应,并在此基础上对模式的激活驱动机理、创新过程以及创新价值输出进行了探究。     

Modelling with flexibility through the business cycle: using a panel smooth transition model to test for the lipstick effect

ABSTRACT

Consumer spending typically declines during periods of economic distress, but observers have noted that lipstick purchases appear to increase during recessions, which is often referred to as the lipstick effect. However, the existence of such effect has remained empirically unconfirmed. Using weekly retail scanner data on lipstick sales from 2006 to 2016 in the United States, we applied a Panel Smooth Transition Regression (PSTR) demand model to test the relationship between economic distress and lipstick sales. This flexible demand specification allows regression coefficients to vary as a function of an exogenous macroeconomic variables and fluctuate asymmetrically, non-linearly, and time-varyingly across an unlimited number of regimes. Empirical results show the income elasticity of demand for lipstick decreased rapidly from 0.31 to 0.05 during the 2007–2009 recession, then slowly rebounded to 0.31 by the second quarter of 2014, thus first empirically confirming the existence of the lipstick effect.     

John R. Commons and Government as Employer of Last Resort: Three Paths to a Progressive Right to Work

Abstract:

Today in the United States, a number of congressional Democrats endorse proposals that would establish a job guarantee for all Americans seeking work. Arguments for such a policy can be traced back at least to the work of John R. Commons, one of the first institutional economists. This article demonstrates that there are actually three arguments in Commons’s scholarship that provide a case for government to hire the unemployed by serving as employer of last resort. These arguments, each highlighted at a different point in Commons’s career, can be viewed in turn as legal, financial, and historical paths to public provision of work for the jobless—government employment that Commons considered part of “the right to work.” The article traces each path, highlighting insight that remains relevant and calling for greater attention to Common’s writings as a way to reclaim the right to work as a progressive cause.     

Thriving in the New Normal: The HR Microfoundations of Capabilities for Business Model Innovation. An Integrated Literature Review

Firms need to respond to the increasing competition and change of the current New Normal environment by being more innovative, and especially in developing new business models. This paper seeks to explore how microfoundations, particularly with respect to human resource management, play a key role in facilitating innovation in business models through the development of key needed capabilities. Four themes are identified with respect to business model innovation (BMI) in the New Normal: BMI as an enabler to create and operate across industries and product-markets; BMI as a mechanism for firms to better navigate changing institutional landscapes; BMI as giving rise to business model portfolios; and concurrent and cumulative innovations that can lead to BMI. This paper also develops a conceptual framework that presents a synoptic view of the five essential capabilities for BMI, which include analogical reasoning, sensemaking, dynamic capabilities, organisational ambidexterity, and organisational learning. Finally, it is shown how the microfoundations of a bespoke, development-oriented BMI HR architecture can support the advancement of these capabilities and thus contribute to the strategic HR literature.     

供应链视角下餐饮O2O模式的配送路径优化

O2O最后一公里配送往往需要综合考虑时间和成本的关系,研究平台对订单的分配和路径优化对提升O2O供应链的整体效率和产业链升级具有十分重要的意义。从餐饮商家和O2O平台两个主要参与者出发对物流配送系统进行研究,提出了适合于O2O餐饮供应链的配送网络,并考虑道路阻塞、最大里程数等约束,搭建了上层模型最短时间、下层模型最低成本的双层规划模型,进而通过NSGA-Ⅱ算法求得可行解,最后验证了算法的可行性,为进一步研究O2O配送提供了新的解决思路。     

基于人工神经网络的互联网公司估值方法研究

资本市场认为互联网公司市值的驱动因素应包括盈利因子、运营因子、流量因子和协同因子。将协同效应指标考虑到公司估值体系中,意图构造互联网公司优化估值模型。使用美股上市的互联网企业数据建立了评价指标体系,通过因子分析实现了二级指标降维,通过实证分析确认了四个因子与公司市值的相关关系,最后构建了基于人工神经网络BP算法的互联网公司估值模型,通过预测数据的检验发现模型的准确度较高。随着2018年互联网公司美股上市潮的持续,该模型能有效为资本市场估值提供参考。