Money secrets: How does trade secret legal protection affect firm market value? Evidence from the uniform trade secret act

Research summary : We investigate the impact of trade secret legal protection on firm market value in the context of acquisitions. On one hand, market value may increase because trade secret assets become better protected from rivals. On the other hand, market value may decrease because trade secret protection reduces information about the target and its competitors available to potential buyers, increasing uncertainty about its value. Buyers will discount their offers in expectation of being compensated for riskier deals. Using a sample of private equity investments in the United States, we find that trade secret protection has a positive effect in industries with high mobility of knowledge workers, but a negative effect in industries with (1) high resource–value uncertainty and (2) high poor‐investment risk. Managerial summary : We argue that an increase in trade secret legal protection might not unequivocally benefit firm owners when selling their business. A stronger trade secret protection increases the market value of firms in industries with high workers' mobility, but it decreases the market value of firms in industries with uncertain resource value and/or high risk of poor‐acquisition investments. Based on the contingent effect of trade secret protection, companies may want to adjust their strategic decisions, including where to locate or relocate, based in part on whether they will derive benefits or suffer losses when trade secrets are better protected. Finally, our study should help policymakers understand more fully the economic impact of government policies associated with trade secrets. Copyright © 2016 John Wiley & Sons, Ltd.     

Second-party and third-party punishment in a public goods experiment

We experimentally investigate whether third-party punishment is more effective than second-party punishment to increase public goods contribution. In our experiment, third parties first played the standard public goods game and then made punishment decisions as independent bystanders. We find that third parties punished more frequently, severely and less antisocially, resulting in a higher contribution level than that driven by second-party punishment. The third party’s exaggerated emotion towards free riders is proposed to explain their superior punishment effectiveness.     

Tuition fees and social segregation: lessons from a natural experiment at the University of Paris 9-Dauphine

Using a natural experiment, a sharp rise in tuition fees in some of the programmes at the University of Paris 9-Dauphine, we study the impact of tuition fees on students’ pathways, and outcomes. We apply an optimal matching method to the national database of students’ registrations (SISE) to define a typology of pathways. We then use a nonordered multinomial logit model to evaluate the impact of the rise in tuition fees on the types of pathways selected by the university. We show that there is a significant impact on these pathways. The increase in tuition fees reduces geographic and social mobility, thereby accentuating the phenomena of social segregation. Furthermore, contrary to what some of the studies assert, the rise does not appear to encourage greater effort: we find no impact on the graduation success rate.     

Regulatory performance of audit tournaments and compliance observability

This paper examines the effectiveness of traditional regulatory schemes and newly emerging social information schemes for achieving compliance. Our experiment focuses on two stochastic audit schemes for enforcing regulatory compliance. In the Random Audit mechanism firms are randomly chosen for inspection. In the Tournament Audit mechanism the probability of inspection increases with the degree of estimated underreporting. To study the effects of social information, the experiment varies the observability of identity, output, and compliance decisions. Optimal output is theoretically independent of the auditing scheme, but equilibrium reporting is higher under the Tournament mechanism than Random auditing. Experimental findings are broadly consistent with the theoretical predictions for reporting, but deviate modestly for output. In particular, we find that average output is lower and reporting is higher in the Tournament treatment compared to the Random Audit treatment. At the individual level, a majority of participants misreported in most periods. Social observability does not affect output or reporting significantly in either of the audit treatments.     

基于计算实验的工程承发包模式选择机理分析

工程承发包模式是工程建设管理的重要组织方式，工程能否进行有效的目标控制及组织协调主要取决于承发包模式的选择。论文运用Multi-Agent方法建立了承发包模式选择的计算实验模型，通过具体数值算例分别分析了工程复杂度、业主能力及承包商水平对工程承发包模式选择路径的影响。研究结果表明：在工程复杂度越高、业主能力越弱情景下，业主选择DB模式的偏好就越大；提升承包商水平和培育有序的DB建设市场环境是提高业主选择DB模式偏好的重要途径。研究结论为业主的承发包模式选择、行业政策制订提供了参考依据。     

生物工程大实验课程改革与探讨

生物工程大实验是生物工程专业的一门重要的综合性实验课程,就当前生物工程大实验教学存在的几点问题,从实验内容、实验体系、实验方法、考核方式方面对生物工程大实验进行改革与探讨。     

Economic corollaries of personalized recommendations

The impact of recommendation systems (RSs) on the diversity of consumption is not transparent or well understood. Available studies, whether experimental or theoretical, show inconsistent and even opposite results, which manifests as debate in the literature. In this paper, we investigate the impact of two main recommender systems, neural collaborative filtering and deep content filtering, on sales diversity via a randomized field experiment. Our results confirm the capability of recommender engines in increasing or decreasing aggregate sales diversity. Nonetheless, they amplify homogenization and reduce individual-level consumption diversity. In conclusion, our research reconciles seemingly contradict previous findings and illustrates that the design of the RS is the decisive factor in homogenizing or diversifying product sales.     

民办院校有机化学实验多元化教学模式探索

民办院校把有机化学实验作为有机化学教学的重要组成部分,多元化教学模式主要从教学方法与手段、教学内容、学习方式、考评体系等方面进行多元化教学模式探索。建立以微课视频、翻转课堂、问题引导,依托基础性实验、综合型实验和创新型实验,依托多元化信息化的教学手段雨课堂、虚拟仿真情景模拟实验、超星尔雅平台,融合多种教学方法,结合“线下”翻转课堂,建立多元化教学模式。这种多元化教学模式能有效提高学生的学习主动性和创新能力。     

$$\mathcal{D}$$-optimal Minimum Support Mixture Designs in Blocks

An easy method to construct efficient blocked mixture experiments in the presence of fixed and/or random blocks is presented. The method can be used when qualitative variables are involved in a mixture experiment as well. The resulting designs are -optimal in the class of minimum support designs. It is illustrated that the minimum support designs are more efficient than orthogonally blocked mixture experiments presented in the literature and only slightly less efficient than -optimal designs.