电子商务市场特征对产品创新影响的实证研究

根据电子商务价值理论,电子商务企业进行产品创新能有效提升或创造客户价值,但电子商务市场环境因素可能会影响电子商务企业的产品创新,而已有关于产品创新的研究大多聚焦于传统市场。依据电子商务客户价值、从众行为、多重创新、组织学习和信息过载等理论,以电子商务市场的两个主要特征市场信息和竞争强度为前导变量,构建它们对于电子商务企业产品创新倾向和电子商务企业绩效的影响模型,并提出变量间关系假设。通过收集中国最大B2C平台天猫商城内309家电子商务企业的数据,应用多元回归分析方法实证检验电子商务市场特征对产品创新的影响。研究结果表明,电子商务企业产品创新正向影响企业绩效;市场信息促进电子商务企业产品创新,但其效用受竞争强度的反向调节;竞争强度显著加强电子商务企业的产品创新倾向且不会影响企业创新绩效,因为在当前电子商务发展阶段和电子商务市场特性的作用下,产品创新能获得熊彼得租金,主导产品创新的是竞争脱离效应而非熊彼得效应。本研究结论对电子商务企业实践具有一定的指导意义。     

企业绿色创新实践如何破解“和谐共生”难题？

在当前中国经济转型过程中,制造业企业亟须借助绿色创新突破制度和效率困境以实现可持续发展。本研究立足本土"和谐共生"文化,基于二元合法性理论,构建了一个条件过程效应模型,探讨制造业企业绿色创新影响其可持续发展绩效的内在机制与边界条件。基于2013～2018年我国重污染制造业上市公司数据,研究发现:(1)绿色工艺创新、绿色产品创新均能促进企业可持续发展绩效,但绿色工艺创新相比绿色产品创新更能改善企业环境社会责任绩效,而绿色产品创新相比绿色工艺创新更能提升企业财务绩效;(2)二元合法性(适应合法性、战略合法性)的中介作用揭示了绿色创新与企业可持续发展绩效关系中的和谐机制;(3)伦理型领导正向调节二元合法性在绿色工艺创新与可持续发展绩效之间的中介效应;但未能显著调节二元合法性在绿色产品创新与可持续发展绩效之间的中介效应。为此,本文进一步设计Post-hoc检验,结果表明:伦理型领导与绿色补贴的交互作用可以增强二元合法性在绿色产品创新和可持续发展绩效之间的中介效应。此外,经过一系列内生性与稳健性检验,上述结论依然成立。本研究不仅从细分维度丰富了绿色创新理论研究范畴,为绿色创新与二元合法性理论的融...     

我国制造型企业市场导向和创新导向对新产品绩效影响的实证研究

本研究基于我国227家制造型企业的问卷调查数据,实证考察了市场导向和创新导向对新产品开发绩效的影响,以及创新导向和环境变动在市场导向和新产品绩效关系中的调节作用。结果显示:(1)本研究的概念模型整体拟合度优于西方常用模型;(2)市场导向和创新导向对制造型企业新产品开发绩效的影响显著为正,且均高于以前文献研究的一般水平;(3)创新导向和技术变化对于市场导向和新产品绩效的关系起到正向调节作用;(4)市场变化和竞争强度的调节作用不显著。研究结果对于制造型企业改善产品创新绩效具有重要的启示意义。     

变革/交易型领导对团队创新绩效的权变影响机制——团队情绪氛围的调节作用

基于85个团队的团队领导和450名团队成员的配对数据,通过统计分析发现:当团队情绪氛围比较积极时,变革型领导与团队创新绩效正相关,交易型领导与团队创新绩效负相关;当团队情绪氛围比较消极时,变革型领导与团队创新绩效负相关,交易型领导与团队创新绩效正相关。最后,结合有关研究结果给出了相应的实践和研究建议。     

采购效力：采购实践形态与采购竞争优先权间适配

从形态理论出发,提出交易型、协作型和发掘型3种采购实践形态,研究面向不同采购竞争优先权时如何实施采购管理实践。基于已有研究,引入生产竞争力理论和采购效力概念,构建采购实践形态与采购竞争优先权间适配关系理论,并提出研究假设。对中国部分装备制造企业进行大样本调查,运用SPSS和AMOS进行信度和效度分析,并用潜变量交互效应建模的方法进行假设检验。研究结果表明,采购实践形态与采购竞争优先权间适配关系显著影响企业绩效,针对不同采购竞争优先权实施相应合理的采购实践活动是有效实现采购职能战略性价值的关键。成本优先权下实施交易型采购实践形态下的采购实践更有效,质量优先权下实施协作型采购实践形态下的采购实践更有效,柔性优先权下实施协作型采购实践形态下的采购实践更有效,创新优先权下实施发掘型采购实践形态下的采购实践更有效。研究结果有助于企业更好地理解供应商和采购职能对企业价值的贡献,便于指导企业在面对不同采购竞争优先权时设计并实施有效的采购管理实践。     

领导-成员交换关系质量和差异化对团队的影响

以3家制造企业的63个工作团队为研究对象,考察了团队层面的领导-成员交换关系质量和关系差异化对团队成员情感承诺和团队绩效的影响。研究结果表明,在控制变革型领导后,领导-成员交换关系质量对情感承诺和团队绩效仍有显著正向影响;关系差异化对这种影响有负向调节作用,表现为对关系差异化程度较低的团队,领导-成员交换关系质量对情感承诺和团队绩效的正向影响相对较强;对差异化程度较高的团队,领导-成员交换关系质量的正向影响较弱。研究结果在一定程度扩展了领导-成员交换研究的分析层次,同时发现了领导对不同下属的亲疏有别和差异对待会削弱领导-成员交换关系对团队的积极作用。     

出口企业竞争战略对产品创新的影响:以市场导向为中介变量

本研究基于220家中国制造型出口企业的数据,探讨了两种竞争战略(差异化战略和成本领先战略)如何通过顾客导向和竞争者导向影响企业创新倾向和新产品绩效。研究结果显示:(1)差异化战略通过促进顾客导向和竞争者导向间接改善创新倾向和新产品绩效;(2)成本领先战略直接正向影响创新倾向进而改善新产品绩效;(3)差异化战略对出口企业产品创新的影响更为显著。研究为中国制造型出口企业如何改善竞争战略执行、提高产品创新绩效提出了管理上的启示意义。     

双元领导对团队创新绩效影响研究——基于惯例视角

领导力及组织双元领域的研究认为,领导者的悖论认知模式和管理行为对于组织中任何一种双元形式的构建都发挥着重要的作用。然而,目前学术界对于这种复杂领导方式的具体作用效果及影响机制,尤其是对于团队创新过程中如何有针对性地处理团队整体性与个体差异性间存在的突出矛盾这一问题仍然缺乏深入的研究。 基于社会认知理论、组织双元理论和动态能力理论,从团队惯例视角出发,构建双元领导行为-团队双元文化-团队创新绩效的影响过程模型,探讨领导行为的协调作用,同时以成员自我调节导向和环境动态性作为调节变量,研究在此影响过程中团队内、外部情景因素的调节作用。采用SPSS 17.0和AMOS 17.0进行多层次回归分析和组间方差分析,对来自长三角区域高新技术型企业中123个知识团队的调研数据进行实证分析。 研究结果表明,①双元领导对团队创新绩效具有积极影响并且显著优于单一领导方式,而变革型领导和交易型领导对团队创新绩效的影响并无显著差异,但要显著优于无明显领导风格的团队,且这两种领导方式能够产生协同效应,其交互正向影响团队创新绩效;②双元领导主要通过团队双元文化部分中介作用直接或间接影响团队创新绩效,但其所包含的变革型和交易型领导行为对团队创新绩效的作用机理存在差异,变革型领导主要通过适应性文化的部分中介作用直接和间接影响创新绩效,交易型领导则通过一致性文化的部分中介作用直接和间接影响创新绩效;③自我调节导向在双元领导与团队创新绩效关系间发挥正向调节作用;④环境动态性在双元领导与团队创新绩效关系间发挥正向调节作用。     

外部搜寻、联结强度、吸收能力与创新绩效的关系

从企业边界理论和知识基础观出发,研究搜寻宽度和搜寻深度对组织探索式创新绩效和应用式创新绩效的影响;引入联结强度和吸收能力作为情景变量,探讨二者对主效应的调节作用;利用三项交互方法,探讨外部搜寻战略、联结强度和吸收能力三者的交互作用对创新绩效的影响;以281家本土制造业企业为样本,利用分层回归分析和三项交互分析方法进行实证研究。 研究结果表明,搜寻宽度与探索式创新绩效正相关,与应用式创新绩效呈倒U形关系,搜寻深度与应用式创新绩效正相关;联结强度负向调节搜寻宽度与探索式创新绩效之间的关系,正向调节搜寻深度与应用式创新绩效之间的关系;实际吸收能力正向调节搜寻宽度与探索式创新绩效之间的关系,潜在吸收能力正向调节搜寻深度与应用式创新绩效之间的关系;搜寻宽度、联结强度和实际吸收能力三者交互项与探索式创新绩效负相关,搜寻深度、联结强度和潜在吸收能力三者交互项与应用式创新绩效正相关。 通过探讨外部搜寻、联结强度和吸收能力的三项交互作用对创新绩效的影响,发现搜寻宽度和搜寻深度对创新绩效的显著差异化影响,有助于从一个新的视角解释外部搜寻与创新绩效之间的“关系争论”;已有外部搜寻研究往往忽略组织间的联结机制,通过引入联结强度,弥补了联结机制的缺失;区别于已有吸收能力的直接效应研究,将吸收能力作为调节变量分情景讨论,丰富了吸收能力的权变视角研究。研究结果有助于加强外部搜寻理论研究,并一定程度上有利于指导中国企业具体创新实践。     

反应型和先动型市场导向对产品创新和经营绩效的影响研究

探讨了反应型和先动型市场导向是否影响以及如何影响利用式创新和探索式创新,进而影响企业的经营绩效。对227家制造型企业的问卷调查研究结果显示:①反应型和先动型市场导向及利用式和探索式创新量表在我国制造业环境下具有良好的信度和效度;②2种类型市场导向对2种程度的创新均具有正向影响,其中,先动型市场导向对组织创新和企业绩效的促进作用更为明显;③2种类型的创新都有助于改善企业绩效;④创新均衡对企业绩效的改善也有显著作用。此外,研究为我国制造企业在何种程度上采纳市场导向战略管理工具来改善组织创新和经营绩效,提供了管理上的启示。     

Comments on globalization, interdisciplinary research, myopia and parochialism, government, convergence, and culture

Globalization presents social scientists with a wide variety of issues and challenges that cut across disciplinary boundaries. Disciplinary boundaries encourage specialization and advances in understanding aspects of social behavior, but specialization also creates barriers to more comprehensive understanding of social behavior such as globalization. Successful interdisciplinary efforts entail gains from trade across disciplinary specializations. The papers in this volume help outline an agenda for interdisciplinary investigation of globalization to knock down disciplinary boundaries and encourage gains from trade that further our understanding of globalization. But much work remains before we see real fruits from such efforts.     

Complexity,simplicity, simplexity

“In the midst of order, there is chaos; but in the midst of chaos, there is order”, John Gribbin wrote in his book Deep Simplicity (p. 76). In this dialectical spirit, we discuss the generative tension between complexity and simplicity in the theory and practice of management and organization. Complexity theory suggests that the relationship between complex environments and complex organizations advanced by the well-known Ashby’s law, may be reconsidered: only simple organization provides enough space for individual agency to match environmental turbulence in the form of complex organizational responses. We suggest that complex organizing may be paradoxically facilitated by a simple infrastructure, and that the theory of organizations may be viewed as resulting from the dialectical interplay between simplicity and complexity.     

Trust, confidence, procedural fairness, outcome fairness, moral conviction, and the acceptance of GM field experiments

In 2005, Swiss citizens endorsed a moratorium on gene technology, resulting in the prohibition of the commercial cultivation of genetically modified crops and the growth of genetically modified animals until 2013. However, scientific research was not affected by this moratorium, and in 2008, GMO field experiments were conducted that allowed us to examine the factors that influence their acceptance by the public. In this study, trust and confidence items were analyzed using principal component analysis. The analysis revealed the following three factors: "economy/health and environment" (value similarity based trust), "trust and honesty of industry and scientists" (value similarity based trust), and "competence" (confidence). The results of a regression analysis showed that all the three factors significantly influenced the acceptance of GM field experiments. Furthermore, risk communication scholars have suggested that fairness also plays an important role in the acceptance of environmental hazards. We, therefore, included measures for outcome fairness and procedural fairness in our model. However, the impact of fairness may be moderated by moral conviction. That is, fairness may be significant for people for whom GMO is not an important issue, but not for people for whom GMO is an important issue. The regression analysis showed that, in addition to the trust and confidence factors, moral conviction, outcome fairness, and procedural fairness were significant predictors. The results suggest that the influence of procedural fairness is even stronger for persons having high moral convictions compared with persons having low moral convictions.     

GMM,GEL, Serial Correlation,and Asymptotic Bias

For stationary time series models with serial correlation, we consider generalized method of moments (GMM) estimators that use heteroskedasticity and autocorrelation consistent (HAC) positive definite weight matrices and generalized empirical likelihood (GEL) estimators based on smoothed moment conditions. Following the analysis of Newey and Smith (2004) for independent observations, we derive second order asymptotic biases of these estimators. The inspection of bias expressions reveals that the use of smoothed GEL, in contrast to GMM, removes the bias component associated with the correlation between the moment function and its derivative, while the bias component associated with third moments depends on the employed kernel function. We also analyze the case of no serial correlation, and find that the seemingly unnecessary smoothing and HAC estimation can reduce the bias for some of the estimators.     

Bacon, Boole, the EPA, and Scientific Standards

The scientific standards of the Environmental Protection Agency (EPA) include the use of retrospective meta-analysis. This analysis entails a use of the theory of probability that is only a simulation and cannot accurately measure the confidence that should be placed in the results. The uncertainty necessary for probability is, in a retrospective study, simulated rather than real. There are three logical forms for establishing a proposition. In the logic of the syllogism, a proposition is established by deduction from assumed propositions. In the logic of the physical sciences, a proposition is established by its ability to predict the outcomes of future experiments. In the logic of the courtroom, a proposition is established by its ability to explain past events. The logic of the courtroom operates under the handicap of working with nonrepeatable events. It is more subject to the preferences of the judge than the logic of the physical sciences or that of the syllogism. Because the logic of the courtroom is less reliable than either the logic of the physical sciences or that of the syllogism, it is the logic of last resort, i.e., it is used only when the other two are not applicable. Under the EPA scientific standards, the logic of the courtroom is accepted for establishing propositions about the physical world. As the logic of the courtroom is less reliable than that of the physical sciences, this practice increases the likelihood of errors.     

Trust,Emotion, Sex,Politics, and Science: Surveying the Risk-Assessment Battlefield

Risk management has become increasingly politicized and contentious. Polarized views, controversy, and conflict have become pervasive. Research has begun to provide a new perspective on this problem by demonstrating the complexity of the concept risk and the inadequacies of the traditional view of risk assessment as a purely scientific enterprise. This paper argues that danger is real, but risk is socially constructed. Risk assessment is inherently subjective and represents a blending of science and judgment with important psychological, social, cultural, and political factors. In addition, our social and democratic institutions, remarkable as they are in many respects, breed distrust in the risk arena. Whoever controls the definition of risk controls the rational solution to the problem at hand. If risk is defined one way, then one option will rise to the top as the most cost-effective or the safest or the best. If it is defined another way, perhaps incorporating qualitative characteristics and other contextual factors, one will likely get a different ordering of action solutions. Defining risk is thus an exercise in power. Scientific literacy and public education are important, but they are not central to risk controversies. The public is not irrational. Their judgments about risk are influenced by emotion and affect in a way that is both simple and sophisticated. The same holds true for scientists. Public views are also influenced by worldviews, ideologies, and values; so are scientists' views, particularly when they are working at the limits of their expertise. The limitations of risk science, the importance and difficulty of maintaining trust, and the complex, sociopolitical nature of risk point to the need for a new approach—one that focuses upon introducing more public participation into both risk assessment and risk decision making in order to make the decision process more democratic, improve the relevance and quality of technical analysis, and increase the legitimacy and public acceptance of the resulting decisions.     

Technology,Geography, and Trade

We develop a Ricardian trade model that incorporates realistic geographic features into general equilibrium. It delivers simple structural equations for bilateral trade with parameters relating to absolute advantage, to comparative advantage (promoting trade), and to geographic barriers (resisting it). We estimate the parameters with data on bilateral trade in manufactures, prices, and geography from 19 OECD countries in 1990. We use the model to explore various issues such as the gains from trade, the role of trade in spreading the benefits of new technology, and the effects of tariff reduction.