混合拉曼/EDFA放大器及其在DWDM中的应用

本文综述了混合拉曼／掺饵光纤放大器（HFA）的工作原理，结构和特点，介绍了4类HFA基本结构及其实验结果，并通过介绍近年来各类HFA在密集波分复用（DWDM）系统中的应用表明了HFA在带宽，增益和噪声特性方面的优点。     

制造企业转型升级中的资源配置有效组态研究——基于模糊集定性比较分析法

制造企业的内部资源有效配置是关系到转型升级成效的内在问题，但资源配置的组态如何影响转型升级成效尚没有得到充分研究。文章将企业的资源要素分为研发投入、人才水平、发展潜力以及客户集中度四个方面，将企业规模设为调节变量，运用模糊集定性比较分析方法，对31家制造企业进行实证研究，得到资源配置的四种有效组态形式为：高抗风险型、高创新投入型、高市场地位型以及紧密客户关系型。研究结论证实了转型升级资源配置组态效应的客观存在，既丰富了企业转型升级理论及方法，也为企业转型升级的路径选择及有效性分析提供了的启示和参考。     

基于科学的产业发展影响因素组态与路径研究——对中国内地31省份医药制造业的QCA分析

基于科学的产业在经济发展中具有极强的活力,正成为21世纪国家经济发展的新引擎和新一轮产业革命的摇篮。选择医药制造业作为科学产业的典型案例,以我国内地31个省份数据为研究样本,运用模糊集定性比较分析（fsQCA）方法,探讨经济、科学、技术、政策条件对科学产业发展绩效的联动效应及路径选择。结果表明,单一条件并不构成制药业高绩效的必要条件,前因条件多重并发形成驱动制药业高绩效的多样化组态;存在驱动制药业高水平绩效的3条路径,分别是科学与技术双元主导驱动型、经济主导逻辑下的科学与政策驱动型以及经济主导逻辑下的技术与政策驱动型;存在导致制药业非高水平绩效的两条路径,且这两个组态的核心条件相同,即非经济水平和非科学研究。结论有助于深化对我国科学产业发展背后多重因素间复杂互动本质的理性认识,并为基于科学的产业成长带来有益的实践启示。     

数字赋能企业商业生态系统跃迁升级的机理及路径研究

数字技术应用融合叠加商业模式创新催生商业生态新业态,实现跃迁升级。本文结合扎根理论与模糊集定性比较分析(FsQCA)方法,阐释数字赋能企业商业生态系统跃迁升级的机理,探究多重组态路径。从生态视角揭示了数字资源通过与传统要素资源融合释放数据价值,并驱动形成价值循环体系、实现价值共创、塑造商业群落,最终实现企业商业生态系统跃迁升级。基于FsQCA的多组态分析发现,数字赋能企业商业生态系统跃迁升级历经两个阶段分别为价值共创和商业群落生成。其中,价值共创实现有两条组态路径,即产品创新与要素融合相组合,技术融合同低产品创新、低数据资产相组合,且产品创新构成了价值共创的核心条件。商业群落生成的组态路径表现出以下特征：价值共创和价值链接协同下分别和网络组织、数据赋能相组合,网络组织和数据赋能互为替代,即在一方缺失时,分别与价值共创或价值链接组合实现商业群落构建。本研究为企业商业生态系统的结构与功能持续优化,实现数字商业生态资源的充分共享及最优利用,提供了关键方法和思路。     

TPS系统参数组态应用示例

分散控制系统DCS在石油和化工生产中应用十分广泛。通过对系统组态使得系统功能得以实现。本文针对TPS系统控制站的常规控制点参数组态进行示例分析,有效解决生产中的实际问题,提高系统实用性。     

Strategy–organization configurations in corporate venture units: Impact on performance and survival

We develop a typology of corporate venture units, based on their strategic role in the corporation, and specifically on (a) their relative emphasis on exploration versus exploitation and (b) the internal versus external locus of opportunity they pursue. Following configurations logic, we argue that the structures and systems used by venture units will be a function of their strategic role, and that their performance will be higher when internal elements are aligned. We also argue that exploitation-oriented units will survive for longer than exploration-oriented units. Using primary data collected on 95 venture units during 2001–2003, we use configurational analyses to test and find support for our hypotheses.     

基于目的分支的软件配置管理模型

从软件配置管理应用中版本控制常面临的问题出发,与传统软件配置管理分支模型比较,说明基于目的分支的软件配置管理模型能更好地支持并行软件开发和软件发布控制。     

Applying complexity theory to deepen service dominant logic: Configural analysis of customer experience-and-outcome assessments of professional services for personal transformations

Recognizing Gigerenzer's (1991) dictum that scientists' tools are not neutral (tools-in-use influence theory formulation as well as data interpretation), this article reports theory and examines data in ways that transcend the dominant logics for variable-based and case-based analyses. The theory and data analysis tests key propositions in complexity theory: (1) no single antecedent condition is a sufficient or necessary indicator of a high score in an outcome condition; (2) a few of many available complex configurations of antecedent conditions are sufficient indicators of high scores in an outcome condition; (3) contrarian cases occur, that is, low scores in a single antecedent condition associates with both high and low scores for an outcome condition for different cases; (4) causal asymmetry occurs, that is, accurate causal models for high scores for an outcome condition are not the mirror opposites of causal models for low scores for the same outcome condition. The study tests and supports these propositions in the context of customer assessments (n = 436) of service facets and service outcome evaluations for assisted temporary-transformations of self via beauty salon and spa treatments. The findings contribute to advancing a nuanced theory of how customers' service evaluations relate to their assessments of overall service quality and intentions to use the service. The findings support the need for service managers to be vigilant in fine-tuning service facets and service enactment to achieve the objective of high customer retention.     

Embrace•perform•model: Complexity theory,contrarian case analysis,and multiple realities

This essay describes tenets of complexity theory including the precept that within the same set of data X relates to Y positively, negatively, and not at all. A consequence to this first precept is that reporting how X relates positively to Y with and without additional terms in multiple regression models ignores important information available in a data set. Performing contrarian case analysis indicates that cases having low X with high Y and high X with low Y occur even when the relationship between X and Y is positive and the effect size of the relationship is large. Findings from contrarian case analysis support the necessity of modeling multiple realities using complex antecedent configurations. Complex antecedent configurations (i.e., 2 to 7 features per recipe) can show that high X is an indicator of high Y when high X combines with certain additional antecedent conditions (e.g., high A, high B, and low C)—and low X is an indicator of high Y as well when low X combines in other recipes (e.g., high A, low R, and high S), where A, B, C, R, and S are additional antecedent conditions. Thus, modeling multiple realities—configural analysis—is necessary, to learn the configurations of multiple indicators for high Y outcomes and the negation of high Y. For a number of X antecedent conditions, a high X may be necessary for high Y to occur but high X alone is almost never sufficient for a high Y outcome.     

Performance effects of multiple control forms in a Lean organization: A quantitative case study in a systems fit approach

The primary objective of this paper is to research and test how control forms function and perform in a Lean organization. In the present quantitative case study, we provide statistical support that Lean is a set of multiple control forms (output, behavioral, and social controls) that complement each other to enhance performance, i.e., it is a control package. Therefore, performance is increased if the average level of control forms is increased, and performance is further increased if the control forms are balanced at the same level representing a complementary effect between them. Moreover, we provide a refinement to the statistical approach in testing systems fit models like ours by supplementing the Euclidian distance with the city-block distance. In this way, we are able to show that the control forms in Lean have a balanced complementary effect on performance, which is distinct from a solely additive effect or no effect. The refined understanding of complementary effect between control forms, the notion of balance, in a Lean organization can be utilized in understanding and testing more general control package theory in other contexts. Our data are archival data spanning multiple years in a dedicated Lean organization. This Scandinavian organization has around 2000 employees and produces small electronic components that are sold to business customers.