人力资源柔性研究现状及其在中国商业银行实践新思考

通过理论基础、维度与测量、影响因素、组织绩效影响等4个方面对人力资源柔性研究现状做文献研究述评,并基于此提出研究与实践新方向,提出本土国情下中国商业银行人力资源柔性、创新能力以及创新实践的测量体系,探讨人力资源柔性与创新能力以及创新实践之间的影响关系,充分考虑外部环境对上述关系的影响,提出中国商业银行业务创新实践的概念模型。该模型有助于拓展人力资源柔性理论的实证研究,并基于研究成果深入剖析适合中国商业银行发展的人力资源柔性管理模式。     

我国绿色创新研究的知识图谱可视化分析

低碳经济背景下,绿色创新作为缓解经济增长过程中资源环境约束问题的重要举措,受到学术界广泛关注。以中国知网收录的绿色创新核心文献为样本,综合运用CiteSpace、SATI、Excel等计量可视化工具绘制知识图谱,对国内绿色创新研究领域的文献年代分布、发文作者、科研机构、关键词以及突现词等进行分析。分析结果表明:我国绿色创新研究大致经历了三个阶段,分别是探索期(1994—2009年)、初步发展期(2010—2015年)、繁荣期(2016—2019年);研究热点主要集中在基础理论与相关概念研究、影响因素与激励机制研究、效率测度与评价体系构建研究三个层面;未来的研究趋势则是朝着绿色金融、环境规制、绿色创新效率、绿色全要素生产率等方向发展。通过对现有文献进行梳理、总结,揭示当前研究进展及演变趋势,为后续开展相关研究提供参考。     

National response strategies and marketing innovations during the COVID-19 pandemic

During the COVID-19 pandemic, different nations have adopted a variety of response strategies to fight and contain the new coronavirus. Such national response strategies can be classified into three categories based on their underlying philosophy: strict control with unlimited resources, relentless contribution with limited resources, and rough rationality with limited resources. We discuss the philosophies, characteristics, and performances of the three response strategies and when they should be adopted. We also examine what marketing innovation strategies enterprises should adopt to survive and grow their businesses in both the short and long term. This study provides important strategic implications for national policymakers and enterprises on the use of response strategies as well as marketing innovation tactics and strategies to be used both during and after the pandemic.     

女性高管对企业研发创新的影响：一个有调节的中介模型

企业创新是企业持续发展的内在动力,也是推动国家产业升级、建设创新型国家的重要举措.近年来女性高管比重不断提高,学术界开始关注女性高管对企业研发创新的影响.以沪深两市2010—2018年A股上市公司为研究样本,实证检验女性高管对企业研发创新投入的影响.结果表明:女性高管负向影响企业研发创新投入;其负向作用以风险承担为中介实现;企业所有制调节了中介过程的后半段路径.     

Merit versus maleness: How strategic positioning can mitigate external gender bias

Despite the proactive efforts of many firms to combat gender bias within their organizations, societal prejudices still disadvantage women leaders and the firms who employ them. This external gender bias shapes outside stakeholder evaluations of women leaders’ efforts in various ways, and firms need strategies to cope with this external gender bias. We examine the conditions that might alleviate this burden of external bias and what women leaders and top executives can do to leverage these conditions—from a strategic positioning perspective—that will effectively allow female leaders to differentiate their work. To do this, we synthesize and build upon evidence that the external gender bias against women leaders diminishes when they lead in areas that are unconventional rather than mainstream. We then propose a two-step process based on (1) identifying the likely threat of external gender bias, which is stronger in some industry contexts than others, and (2) leveraging unconventionality to circumvent male prototypical comparisons, thereby reducing the hazards of external gender bias.     

INTERNATIONAL RESERVE MANAGEMENT: A DRIFT‐SWITCHING REFLECTED JUMP‐DIFFUSION MODEL

We study the cost of shocks, that is, jump risk, with respect to reserve management when the reserve process is formulated as a drift‐switching jump diffusion with a reflecting barrier at 0. Inspired by the Brownian drift switching model, our model results in a more realistic dynamic behavior of international reserves than the buffer stock model. The new model can capture both the jump behavior in reserve dynamics and the leptokurtic feature of the increment distribution which has a higher peak and two asymmetric heavier tails than the normal distribution. Through the selection of an initial distribution that reflects certain steady state behaviors, the reserve process becomes a regenerative process. This selection enables us to derive a closed‐form expression for the total expected discounted cost of managing reserves, thus helping us to numerically find management strategies that minimize costs. The numerical results show that shocks at the reserve level have a significant effect on reserve management strategies and that model misspecification can result in nonnegligible additional costs.     

Performance evaluation of China's high-tech innovation process: Analysis based on the innovation value chain

The Chinese high-tech industry has developed greatly since the beginning of China's “National High-tech R&D (863) Program” and “China Torch Program”. This paper introduces a conceptual model extended from the innovation value chain model to simultaneously estimate the R&D and commercialization efficiencies for the high-tech industries of 29 provincial-level regions in China. To match reality, a network DEA incorporating both shared inputs and additional intermediate inputs is constructed to open the “black box” view of decision making units used in single-stage DEA. This study is the first attempt to link the R&D and commercialization with a solid theoretical foundation and feasible mathematical methods. The empirical findings show that most of the 29 regions have low efficiency in the commercialization sub-process compared to the R&D sub-process, although there are regional differences in China's high-tech industry. Pearson correlation shows that the R&D sub-process is not closely correlated to the commercialization sub-process in terms of efficiency. Our analysis can provide information for the formulation of policies to achieve high innovation efficiency.     

Public sector innovation in a context of radical populism

This article discusses the effect of radical populism on public sector innovation. It begins by considering the origins and components of radical populism and of public sector innovation. It is shown that the Trump Administration has been undercutting each of the factors research suggests facilitate public sector innovation. While radical populists have gained ground in Europe, they are constrained by being part of governing coalitions, and have a more limited policy agenda, primarily focused on reducing immigration. The paper concludes with suggestions for further research on the effect of populism on public sector innovation, both in the US and Europe.     

Coping with coopetition—Facing dilemmas in cooperation for sustainable development: The case of the Dutch smart grid industry

This paper is amongst the first to examine coopetition strategy for sustainable development at the network level. Companies who want to successfully implement complex innovative technologies that support sustainable development need to collaborate with other actors of the innovation ecosystem, including their competitors, so that they can develop standards, interoperable products, pool knowledge, and resources and bundle forces to compete against other technologies. Collaboration with competitors brings benefits, but also many risks. We investigated how firms cope with these risks when establishing an innovation ecosystem to implement a new technology in society. We conducted research in the Dutch smart grids sector and explored how these firms minimize inherent risks of coopetition. We found that system‐building actors in the Dutch smart grid field not only minimize inherent risks, but from the start of their collaboration they implement so‐called enablers to prevent these risks upfront.     

众创空间集聚的连续距离测度及影响因素分析

基于253家浙江省众创空间的微观数据，文章在运用连续距离的测度方法测算众创空间集聚水平的基础上，采用零膨胀负二项回归等方法实证分析众创空间集聚的影响机制。研究发现，众创空间的地理分布存在显著的区域差异，主要分布在杭州和宁波市辖区，选址具有明显的集聚特征。回归结果显示，区域创新能力和生态环境均对众创空间的地理集聚具有促进作用，但两者之间存在明显的替代效应；尽管不能直接促进众创空间的集聚，政策引导与创新能力之间具有较显著的互补效应。据此，文章从培育创新能力和优化创新激励等方面提出了政策建议。