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。     

供应链企业间战略共识如何影响技术创新绩效——知识共享与供应链协同的作用

在动态复杂的市场环境中，企业不仅要重视内部创新力量，同时需要依托外部力量，充分发挥外部知识资源在创新过程中的作用。基于认知行为理论，采用多元层次回归和Bootstrap方法，分析供应链企业间战略共识、知识共享和供应链协同对企业技术创新绩效的作用。结果发现：供应链企业间战略共识对知识共享和企业技术创新绩效具有促进作用；知识共享在供应链企业间战略共识与技术创新绩效间起中介作用；供应链协同正向调节供应链企业间战略共识与知识共享的关系，并正向调节知识共享的中介作用。     

资源约束下的创业导向、资源行动策略与企业成长

资源约束背景下，如何制定有效的创业导向及资源行动策略对动态环境中企业成长具有重要意义。基于动态能力视角，以恒瑞医药为例，探讨其不同发展阶段创业导向、资源行动策略与企业成长间的内在作用机理。结果发现：①高差异性和高合法性是企业资源行动所追求的理想状态，但在不同发展阶段二者的侧重点不同；②创业导向为企业资源行动策略提供方向，而资源行动策略则是创业导向得以实施的保障，二者相互契合，共同促进企业成长；③多重资源约束是企业创业导向和资源行动的直接动因，而企业能力提升是创业导向和资源行动产生的有效结果，该过程中管理者认知为企业资源环境分析、创业导向制定以及资源行动选择提供有力保障。     

组织模块化对研究型大学技术转移绩效的影响

技术转移是将社会科技资源转化为实体经济效益的重要途径。当前，我国研究型大学技术转移渠道不畅、技术转移绩效不高、大学科技成果成功产业化“最后一公里”问题凸显。基于现实需求和研究缺口，构建组织模块化对研究型大学技术转移绩效影响的理论模型。在此基础上，收集我国38所研究型大学样本数据，采用SPSS24.0和AMOS软件进行结构方程路径分析，论证和检验组织模块化对于研究型大学技术转移绩效的影响机制。结果表明：组织模块化对研究型大学技术转移绩效具有显著正向影响；技术创新能力在组织模块化与技术转移绩效之间起显著中介作用；知识共享的调节作用主要体现在组织模块化独立性、响应性与技术创新能力之间的关系上，其对组织模块分工性与技术创新能力关系的影响作用不显著。     

Exploring the motivations to use online meal delivery platforms: Before and during quarantine

Online meal delivery platforms (OMDPs), like UberEats, have received more attention since quarantine was established to prevent the spread of COVID-19. The research into antecedents of satisfaction and continuous usage intention for OMDPs, in general, is under researched. The current study compared the antecedents of satisfaction before quarantine to the antecedents during quarantine through the lens of Expectation-Confirmation Theory. Through multiple regression analyses, the researchers found that before quarantine, sharing economy ethos, price-value, food quality, ease of use and confirmation of beliefs had a significant impact on satisfaction while during quarantine, food quality, service speed, ease of use, and confirmation of beliefs were significant. Practical and theoretical implications are discussed.     

Time-sensitive supply chain disruption recovery and resource sharing incentive strategy

Market demand is becoming increasingly time-sensitive in competitive environments. Hence, supply disruptions will have a more serious impact on the profits of supply chains. This study applies a Stackelberg competition between a single supplier and a single manufacturer in a time-sensitive supply chain in a cloud manufacturing environment. We aim to address the supplier’s production capacity recovery issues and the manufacturer’s incentive decision issues after supply disruption. We find that the supplier is in a weak position when the information is symmetrical. The manufacturer can encourage the supplier to shorten the recovery time by raising the unit wholesale price. When the supplier’s unit production cost remains unchanged but the unit wholesale price increases, the profit of the supplier first increases and then decreases. In addition, under the centralized decision-making setting, the optimal recovery time of the supplier is shorter and the optimal unit market price of the product is lower than that under decentralized decision-making. We further find that resource sharing can shorten the optimal recovery time, but it does not necessarily play an incentivizing role.     

创新生态系统视角下价值共创如何影响企业创新绩效——一个有调节的中介模型

以创新生态系统为视角，引入创新资源互动与生态系统规范机制为中介变量和调节变量，探究价值共创如何影响企业创新绩效。基于307家企业样本数据，运用结构方程模型、Bootstrap和层级回归方法对数据进行分析。研究发现：创新生态系统中，价值共创不完全直接影响企业创新绩效；创新资源互动部分中介价值共创对企业创新绩效的影响；生态系统规范机制部分正向调节价值共创对创新资源互动的影响。最后提出，创新生态系统调控方与企业要差异化地制定提升创新绩效的实施方案，营造活跃的创新资源互动氛围，形成并完善系统内生态规范机制。     

企业研发投入、资源特征与创新绩效关系研究

基于资源基础观，探讨了企业“资源池”中财务资源特征与技术资源特征如何与研发投入行为匹配以提升创新绩效，以创业板355家企业为样本开展泊松回归分析，研究发现：R&D投入与创新绩效存在倒U型关系；财务资源特征——资产流动性对R&D投入与创新绩效存在正向调节作用，起着“加速剂”作用；由于组织技术路径依赖，技术资源特征——技术积累程度对R&D投入与创新绩效存在负向调节作用，起着“缓冲剂”作用；资产流动性与技术积累程度提高会促进研发投入与创新绩效关系的阈值提高，促进更多研发投入有效转化。探讨了企业研发投入行为与资源特征的匹配，可为促进创新绩效提升提供理论支撑。     

When empathy prevents negative reviewing behavior

Previous research has found that peer-to-peer platforms have overly positive reviews. Guided by Construal Level Theory, this research investigates the relationship between social distance, empathy, and tourists’ intention to leave negative online reviews. The first study is a qualitative analysis which compares peer-to-peer settings (i.e., Airbnb) to institutional ones (i.e., Booking.com), and explores whether social closeness hinders tourists’ willingness to provide negative online reviews to express their poor experiences. The second and third study are laboratory studies which show that the mechanism behind reviewing biases is the activation of empathy.This research offers practical implications for both traditional hospitality players, on how to activate empathy, and online platforms operators, on how to increase the reliability of their reputation systems.This article also launches the Annals of Tourism Research Curated Collection on Peer-to-peer accommodation networks, a special selection of research in this field.