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。     

Nicknames as identity badges: How self-reflective nicknames can facilitate users’ online social interactions

An Internet nickname is essential in facilitating online interpersonal interactions. It is a pivotal element of interaction that provides other users with an initial impression and affects the decisions and behaviors of users during their online interactions. Although the existing literature has found that nicknames are relevant to users’ psychology and behavior, direct research on the motivation for and the effect of choosing a particular Internet nickname has been very limited. Borrowing from relevant theories on avatars, this paper summarizes the motivations behind Internet nickname choices in terms of three aspects: virtual exploration, social navigation and contextual adaptation. Moreover, from the perspective of collective self-esteem (CSE) and group identification, this research explores the influence mechanism between the motivations underlying Internet nickname choices and users’ online social interactions. A total of 394 samples were obtained from online communities in China to test our research model. We found that virtual exploration, social navigation and contextual adaptation are three motivations for creating Internet nicknames, and they have direct effects on the online social interactions of users. CSE has a full mediating effect between virtual exploration and online social interaction and acts as a mediated variable between social navigation and online social interaction. Group identification fully mediates the relationship between social navigation and online social interaction as well as that between contextual adaptation and online social interaction. The conclusion of this paper provides not only a new perspective for the study of Internet nicknames but also a potentially feasible way to stimulate users’ online social interactions.     

The Relationship Between Consumer-Brand Identification and Brand Extension

The present research aims at examining the role of consumer-brand identification (CBI) in attitude toward brand extension regarding the congruency between the values of consumers and brands. In this way, the benefits of CBI to consumers and brand managers are outlined. This research has been conducted through designing a survey and collecting data through a questionnaire. For data mining and investigating the model, the SEM approach is implemented. According to the findings, high levels of CBI lead to positive attitudes toward the brand extension, and that value congruity positively impacts this relationship. The results outline that CBI impacts fit and tie in separate ways, so that CBI effect on fit is more substantial. Furthermore, according to the results, in comparison to the role of tie, the role of fit is more significant in predicting attitudes toward brand extension. The sample from university students is appropriate for testing theory, but limits generalizing the results of the research. In addition, this research has studied one product category and is limited in this perspective. The findings have remarkable recommendations for implementing brand extension as they emphasize the role of perceived fit. Moreover, by reexamining CBI in a less known market, the research has outlined its positive outcomes for firms. This research has used perceived tie in a brand extension context and, similar to perceived fit, has implemented it as another factor to predict attitude toward brand extension. In addition, this research is unique, as it has investigated CBI in a new context.     

Cardinality-based equality of opportunities

We study possible rankings of opportunity profiles. An opportunity profile is a list of opportunity sets, one for each agent in the society. We compare profiles on the basis of the notion of “equality of opportunities”. Our main results show the necessary and sufficient conditions for this comparison to be made using exclusively the information provided by two cardinal measures: the number of common alternatives in all sets of a given profile and the difference between the number of alternatives in the individual sets. We also show that, under additional axioms, we can combine these criteria only in a weighted procedure or in some lexicographic refinements of a weighted procedure.      

Measurement error and panel data1

The underidentification of linear models with measurement error does not necessarily extend to panel data models, as has been shown by GAiliches and Hausman (1986). We discuss and extend some of their results for a simple case and address particular issues concerning identification and asymptotic variances.     

论企业核心竞争力与企业自生能力

文章阐述了核心竞争力和企业自生能力的内涵及其特征,总结了企业核心竞争力识别的方法,对企业如何解决自生能力进行了论述,并提出围绕主导产业,培植企业核心竞争能力和构筑企业自生能力的方法,同时给出了比较详细的实现途径,希望对现代企业的运作能起到一定的指导作用。     

Prediction of the Indian summer monsoon using a stacked autoencoder and ensemble regression model

The study of climatic variables that govern the Indian summer monsoon has been widely explored. In this work, we use a non-linear deep learning-based feature reduction scheme for the discovery of skilful predictors for monsoon rainfall with climatic variables from various regions of the globe. We use a stacked autoencoder network along with two advanced machine learning techniques to forecast the Indian summer monsoon. We show that the predictors such as the sea surface temperature and zonal wind can predict the Indian summer monsoon one month ahead, whereas the sea level pressure can predict ten months before the season. Further, we also show that the predictors derived from a combination of climatic variables can outperform the predictors derived from an individual variable. The stacked autoencoder model with combined predictors of sea surface temperature and sea level pressure can predict the monsoon (June-September) two months ahead with a 2.8% error. The accuracy of the identified predictors is found to be superior to the state-of-the-art predictions of the Indian monsoon.     

基于认知视角的创业机会发展过程研究

理性创业时代背景下，如何把握创业机会已成为创业者普遍关心的问题。选取34位创业者作为研究样本，运用文本挖掘和多案例匹配分析方法对创业机会发展过程进行分析、编码，探究创业行为背后的认知机制。研究发现，在机会发现或创造阶段，创业者通过反事实思维推动的创业警觉和创业拼凑两种途径形成创意，并经过新旧认知体系的排斥与趋同形成心智模型，以揭示创业机会发现或创造的认知机制；在机会评估阶段，创业者通过对风险—收益感觉与知觉的多轮反复交互，形成第一人称机会信念和第三人称机会评估，由此揭示创业机会评估的认知机制；在机会开发阶段，创业者形成机会开发内外两种机制，外在机制围绕“探索导向—商业模式创新—新企业成长”展开，内在机制围绕换位思考、效果推理等认知因素推动企业创新、资源获取展开。结论对丰富创业认知理论和管理实践具有重要意义。     

机会窗口、复合式战略与后发企业追赶——基于大华股份的纵向案例研究

基于中国本土化理论——复合基础观，以浙江大华技术股份有限公司（以下简称大华）为例，结合后发企业追赶需要考虑的重要情境即机会窗口，分析后发企业在追赶过程中，如何合理、灵活地采取复合式战略回应机会窗口，并利用机会窗口带来的发展机遇，实现从初始追赶到超越追赶再到行业前沿的追赶历程。研究发现，同一行业内不同机会窗口之间环环相扣、相互影响，某一机会窗口的出现也会触发其它机会窗口出现，进而引致整个行业机会窗口涌现；基于复合基础观视角，后发企业追赶路径的演变过程为：最初以技术模仿式创新为导向实现边缘赶超，继而以市场把握和扩张为导向实现商业模式创新，然后以全面协同创新为导向实现系统竞争力提升；后发企业通过实施复合式战略回应机会窗口的开启，能够帮助其更好地把握住发展机遇，实现追赶；与追赶路径演变相关联，随着企业内部资源与能力的积累，战略回应机制也相应地呈现为“被动回应—主动回应—引领拓展”的演变过程。     

The Economics and Bioeconomics of Folk and Scientific Classification

Synopsis This paper is the product of a collaboration between a biologist (Ghiselin 1997) who works on the philosophy of classification and an economist (Landa 1981, 1994) who works on the ‘Economics of Identity’: how and why people classify people based on identity in the context of a theory of ethnic trading networks. In developing the ‘bioeconomics’ (the synthesis of economics with biology) of classification, we crossed a number of disciplinary boundaries—anthropology, economics, sociology, biology, and cognitive psychology including evolutionary psychology’s ‘fast and frugal’ heuristics. Using a bioeconomics approach, we argue that folk classifications—the classifications used by ordinary persons—have much in common with scientific classifications: underlying both is the need for economy of information processing in the brain, for the efficient organization of knowledge, and for efficiency of information acquisition and transmission of information to others. Both evolve as a result of trial and error, but in science there is relatively more foresight, understanding, and planning.