中国电力企业对电力体制改革适应性的管理结构模型研究

中国电力市场化改革实施以来效果如何,是公众广为关注的问题.本文依据路径-目标理论,构建了电力企业对电力体制改革适应性的管理结构模型,通过问卷调查分析,运用PLS(Partial Least Squares)方法,从电力企业管理的微观角度,审视电力体制改革对发电、电网两种类型企业的影响以及电力体制改革中存在的问题.模型可靠性和有效性良好.结果表明,市场化改革的思路可以有效引导企业积极变革,企业管理总体上是健康的;电力体制改革应该增强系统性,增加透明度,稳定企业对改革的预期;发电企业和电网企业需要进一步适应市场化环境,提高发展战略等薄弱环节的管理水平.     

近红外光谱法非破坏分析生理盐水

本文将近红外光谱法与偏最小二乘法(PLS)结合,对生理盐水中的NaCL浓度进行快速分析,建立了最佳数学校正模型。讨论了光谱的预处理方法和主成分数对PLS定量预测生理盐水中NaCL浓度的影响,并对预测集样品含量进行预测,结果令人满意。     

基于PLS的广东社区中医药服务公众满意度研究

目的:参考顾客满意度指数模型建立社区中医药服务公众满意度结构方程模型,以广州、深圳、汕头、惠州和湛江5个城市为例,对广东省社区中医药服务现状进行分析。方法:以偏最小二乘法(PLS)为拟合方法,开展广东省社区中医药服务公众满意度的实证研究。结果:广东省社区中医药服务公众满意度结构方程模型拟合度理想,具有可行性。结论:针对测评结果提出要进一步推动社区公众满意度测评,提高社区中医药服务的综合质量,改善影响满意度的重要因素。     

Exploring the underlying factors inducing design changes during building production

Although design changes is a significant inhibiting factor to schedule management and cost control in building projects globally, however, the reasons remain largely unknown, and the construction industry is unable to manage the problem effectively. A triangulated approach was employed where 39 reasons were first explored through semi-structured interviews with experienced practitioners. Subsequently, a national survey was used to rank the reasons. ‘Value engineering’, ‘lack of coordination among various professional consultants’ and ‘change of requirement’ ranked the highest. Next, exploratory factor analysis revealed eight underlying factors. Finally, the influence of these manifested factors was validated statistically using partial least squares based structural equation modelling. The three most critical factors found are ‘competency of project team', ‘quality and workmanship’, and ‘site constraints and safety consideration’. This paper contributes to the development of new underlying factors inducing design changes, which largely explain design changes as well as enable practitioners and researchers to devise effective preventive measures in controlling design changes in building projects.     

基于PLS模型的风险投资联合动因实证研究

为了对中国资本市场风险投资联合的真实动因进行初步探讨,通过专家小组意见法确立了包含财务动机、资源动机、交易流动机3个维度的联合风险投资动因,并藉此作为外生潜变量,选择创业板有联合风险投资背景的投资机构进行问卷调查,通过偏最小二乘法（PLS)对联合风险投资的动因进行实证检验。研究认为,中国风险投资机构联合投资的动因按重要性水平从高到低划分依次为资源动机、财务动机、交易流动机、资源动机对财务动机与交易流动机有显著影响。研究还认为,各个动机间并不是相互排斥或独立存在的,风投机构在进行联合投资决策前应综合考虑各个因素对决策的影响;创业企业应考虑风投机构联合决策的影响因素,有效地迎合风投机构投资心理,从而成功获取风险资本;证监会只有了解风险投资公司作决策所考虑的因素,才能进行合理的引导,从而为等待已久的创新型和高科技带来新的曙光。     

Treating unobserved heterogeneity in PLS path modeling: a comparison of FIMIX-PLS with different data analysis strategies

In the social science disciplines, the assumption that the data stem from a single homogeneous population is often unrealistic in respect of empirical research. When applying a causal modeling approach, such as partial least squares path modeling, segmentation is a key issue in coping with the problem of heterogeneity in the estimated cause–effect relationships. This article uses the novel finite-mixture partial least squares (FIMIX-PLS) method to uncover unobserved heterogeneity in a complex path modeling example in the field of marketing. An evaluation of the results includes a comparison with the outcomes of several data analysis strategies based on a priori information or k-means cluster analysis. The results of this article underpin the effectiveness and the advantageous capabilities of FIMIX-PLS in general PLS path model set-ups by means of empirical data and formative as well as reflective measurement models. Consequently, this research substantiates the general applicability of FIMIX-PLS to path modeling as a standard means of evaluating PLS results by addressing the problem of unobserved heterogeneity.     

Maximum Likelihood Estimators in a Two Step Model for PLS

Univariate partial least squares regression (PLS1) is a method of modeling relationships between a response variable and explanatory variables, especially when the explanatory variables are almost collinear. The purpose is to predict a future response observation, although in many applications there is an interest to understand the contributions of each explanatory variable. It is an algorithmic approach. In this article, we are going to use the algorithm presented by Helland (1988 Helland , I. S. ( 1988 ). On the structure of partial least squares regression . Commun. Statist. Simul. Computat. 17 : 581 – 607 .[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]). The population PLS predictor is linked to a linear model including a Krylov design matrix and a two-step estimation procedure. For the first step, the maximum likelihood approach is applied to a specific multivariate linear model, generating tools for evaluating the information in the explanatory variables. It is shown that explicit maximum likelihood estimators of the dispersion matrix can be obtained where the dispersion matrix, besides representing the variation in the error, also includes the Krylov structured design matrix describing the mean.     

短波近红外漫反射光谱法对氨苄西林粉末药品的非破坏定量分析

本文采用短波近红外漫反射光谱法对氨苄西林粉末药品中主要成分氨苄西林进行快速、无损非破坏快速定量分析。采用偏最小二乘法(PLS)建立近红外光谱信息与待测组分含量间的最佳数学校正模型。讨论了光谱的预处理方法和主成分数对PLS定量预测能力的影响,并对预测集样品含量进行预测,得到了较为满意的结果。     

基于二阶构成型PLS路径模型的澳门游客满意度研究

博彩旅游业是澳门经济的支柱产业,它是保持澳门政治稳定、社会发展和经济健康的决定性因素。采用二阶构成型的PLS路径模型这一新的方法分析澳门游客的满意度,结果发现购物、信息服务和景点是当前澳门旅游业需要重点改进的方面,同时应当加强博彩业服务人员的培训和管理。二阶构成型PLS路径模型的应用可以直接获得一阶显变量及一阶潜变量的影响大小数据,这将有效地提升满意度研究的实践操作价值。     

Effectuation or causation as the key to corporate venture success? Investigating effects of entrepreneurial behaviors on business model innovation and venture performance

Corporate Venturing sets the stage for entrepreneurial behavior in order to create business model innovation (BMI). Moreover, prior literature indicates the importance of BMI as a source of performance advantage, especially in growing industries. However, an empirical examination of the effectiveness of entrepreneurial behaviors for achieving BMI is still lacking. Hence, this study investigates the effectiveness of effectuation and causation as primary entrepreneurial logics to create BMI. Analyzing data obtained from 128 corporate ventures with partial least squares structural equation modeling, the effectiveness of both entrepreneurial logics for BMI with respect to different industry growth levels is clarified: The results point out that both behaviors lead to BMI in situations of moderate industry growth while effectuation (causation) is more effective in high (low) industry growth settings. Furthermore, the results point out that BMI in turn enhances corporate venture performance. Thus, corporate entrepreneurs should carefully align their entrepreneurial approach with industry growth projections to effectively develop BMI and achieve high venture performance.