Individualism and political instability

This paper examines the relationship between the individualism-collectivism dimension of culture and political instability using a dataset covering around 100 countries. To shed light on the causal effect of culture on political instability, the identification strategy exploits the variation in historical pathogen prevalence and the information provided by the genetic distance between countries. The results reveal that individualism has a negative and statistically significant impact on the degree of political instability, which means that this cultural trait contributes to making the political environment more stable. This finding is robust to the inclusion in the analysis of a substantial number of controls that may be correlated with both individualism and political instability, including other cultural dimensions. In fact, the relationship between individualism and political instability does not depend either on the specific measures used to quantify the level of individualism and political instability within the various countries or the estimation strategy adopted. The estimates also show that part of the observed effect of individualism is due to the impact of institutional quality, which acts as a transmission channel linking this cultural trait and political instability.     

失败学习对企业绩效的影响机制研究

已有文献认为失败学习对企业绩效具有重要作用，但失败学习通过何种途径促进企业绩效提升的研究并不完善。基于失败学习理论，引入资源拼凑和机会识别作为中介变量，构建失败学习影响企业绩效的多路径模型，探索失败学习对企业绩效的驱动路径及内在机理。实证结果表明：失败学习对企业绩效具有显著积极作用，资源拼凑和机会识别分别在失败学习与企业绩效之间起中介作用，资源拼凑和机会识别在失败学习对企业绩效驱动过程中存在链式中介作用，战略柔性能够强化资源拼凑与企业绩效之间的关系，并正向调节资源拼凑的中介作用。研究结论拓展了失败学习对企业绩效的影响路径，对企业复苏和成长具有重要启示。     

大数据能力对企业创新绩效的影响——IT-业务融合与双元环境的调节作用

基于动态能力理论和权变理论，以IT-业务融合、双元环境为调节变量，探究大数据能力与企业创新绩效间的作用关系，结果发现：大数据能力对创新绩效具有正向促进作用；IT-业务融合调节大数据能力与创新绩效的关系，IT-业务融合水平越高，大数据能力对创新绩效的正向影响就越显著；双元环境能够调节大数据能力与创新绩效间关系。其中，环境动态性在大数据能力与创新绩效关系间起正U型调节作用，而环境竞争性在大数据能力与创新绩效关系间起倒U型调节作用。从内外部情境视角解释大数据能力的创新转化，对中国企业大数据应用具有指导意义。     

国际策略情境、国际双元学习与后发企业创新赶超

整合国际策略与双元学习理论，构建国际策略情境、国际双元学习的平衡和联合与后发企业创新赶超之间的关系模型。基于长三角地区327家外向型制造企业（高新技术企业）问卷调查数据，发现国际策略情境以及国际双元学习平衡和联合均显著正向影响企业创新赶超，国际策略情境对国际双元学习平衡和联合均具有显著正向影响，并且国际双元学习平衡和联合均在国际策略情境与创新赶超之间具有部分中介作用。研究结果揭示了国际化视域下双元学习与后发企业创新赶超的内在影响机制，延展了企业国际化、组织学习和创新赶超等相关领域理论空间，对于本土企业有效实施创新赶超具有启示意义。     

科技企业孵化器何以激活区域创新——风险投资与孵化基金的中介作用

完善创新生态系统、提升区域创新能力是我国科技企业孵化器建设的重要目标。基于2013-2018年中国（内地）30个省份面板数据，采用面板数据模型实证检验科技企业孵化器是否促进了区域创新能力提升，并基于中介效应模型探讨风险投资和孵化基金在其中的间接作用。结果发现：①科技企业孵化器建设显著提升了区域创新水平，但主要增加的是实用新型和外观设计专利申请授权数总量，对发明专利申请授权数并没有显著促进作用。上述结果在剔除直辖市样本、采用随机效应模型及空间计量模型的稳健性检验后依然成立；②通过中介效应模型检验发现，区域风险投资和孵化基金集聚效应是科技企业孵化器影响区域创新水平的主要机制；③科技企业孵化器对区域创新的影响在不同区域间差异较大，在东部地区的创新激励效应更加显著，而且政策工具强度对科技企业孵化器与区域创新水平的关系具有正向调节作用。     

Labor productivity forecasts based on a Beveridge–Nelson filter: Is there statistical evidence for a slowdown?

In this paper, I assess the evidence for a structural break in labor productivity growth in the years before the Great Recession with the use of out-of-sample forecasting exercises for the years 2010 to 2019 and the recently developed Beveridge–Nelson filter. Models based on a Beveridge–Nelson filter with no structural breaks outperform those allowing for a structural break, and there is statistically significant evidence that they outperform the random walk, though all models were too optimistic about labor productivity growth. Recently developed statistical tests do point to the presence of a structural break before the Great Recession, but uncertainty about the data-generating process for labor productivity growth or the timing and magnitude of the break may be too great to be helpful in forecast preparation.     

Quaker Business Ethics as MacIntyrean Tradition

Journal of Business Ethics - This paper argues that Quaker business ethics can be understood as a MacIntyrean tradition. To do so, it draws on three key MacIntyrean concepts: community,...     

Celebrity endorsement in tourism: Attention,emotional arousal and familiarity

Celebrity endorsement in tourism is utilised by global marketing practitioners to attract tourists to visit destinations. Despite this, studies are yet to assess the efficacy of two specific types of celebrity endorsement, a celebrity from the host country (host celebrity) vs. a celebrity from the country-of-origin (origin celebrity). Utilising the match-up hypothesis, this research applied a quasi-experimental design, consisting of a mixed method approach, which combined eye-tracking and self-report data. Convergent results across three studies demonstrate that an origin celebrity elicits a higher intention to visit, mediated by the emotional arousal evoked from the endorsement. Eye-tracking analysis demonstrated that an origin celebrity elicits a higher degree of visual attention and emotional arousal when the advertised scenery is familiar. However, this promotion effect disappears in unfamiliar scenery. This research contributes to an evolving debate on celebrity endorsement in tourism, revealing the psychological and physiological mechanisms underpinning the effectiveness of destination marketing campaigns.     

International high-frequency arbitrage for cross-listed stocks

We explore high-frequency arbitrage activities on international cross-listed stocks and develop a methodology to study the effect of information latency in high-frequency trading. We derive statistical arbitrage bounds for a mean-reverting synthetic instrument engineered from cross-listed stock prices, and we propose a new strategy that takes advantage of price deviations outside these bounds. Market frictions such as trade costs, inventory control, and arbitrage risks are considered. The strategy is tested with cross-listed stocks involving three exchanges in Canada and the United States in 2019. The annual net profit with the limit order strategy is around US$6 million, whereas the market order version is not profitable because of the great interconnectedness between exchanges in our data.     

Price matching and product differentiation strategies considering showrooming

Showrooming, a phenomenon in which customers use brick-and-mortar stores to assess products and then purchase them from online retailers (o-retailers) for lower prices, is considered a great threat to traditional retailers (t-retailers). To combat showrooming, many t-retailers have executed price matching which enables customers to pay o-retailers' lower prices for the identical product. To avoid direct competition with t-retailers who execute price matching, many o-retailers have begun to sell differentiated products from t-retailers, which weakens the information advantage to customers from practicing showrooming. Motivated by these observations, we construct a duopoly game, where a t-retailer and an o-retailer sell products in a same category, to study the profitabilities of product differentiation and price matching in the context of showrooming. The results show that in the scenario without price matching, the o-retailer is likely to benefit from product differentiation only when the o-retailer's differentiated product is more popular with customers than the t-retailer's product. However, in the price matching scenario, the o-retailer also has the opportunity to benefit from product differentiation when the o-retailer's differentiated product is less popular with customers than the t-retailer's product, and product differentiation can be a win-win strategy for the two retailers under certain conditions. Considering the o-retailer's product differentiation decision, the t-retailer is only likely to execute price matching if the non-digital attributes of the product category sold by two retailers are not very obvious.