A Qualitative Study for Measuring Warehouse Performance Using Triangulation Approach

This research aims to validate a structural equation modeling （SEM） model for measuring warehouse performance using data from an international company in Australia （company G）. Moreover, a methodological triangulation method was also adopted to test whether different methodological approaches produce convergent findings about warehouse performance measurement （WPM）. These three different methods are the SEM model, the multiple case research study, and validation of the SEM model using data from 80 companies in Thailand and a company in Australia. With the results from the triangulation method, it is obvious that the SEM model can be used to measure the performance of warehouses in Thailand and Australia. Since the SEM model consists only of significant indicators, it is more appropriate than company G＇s scorecard. Furthermore, the SEM model can overcome the limitations of traditional models by allowing companies to compare their performance over time.     

Investigating the Number of Non-linear and Multi-modal Relationships Between Observed Variables Measuring Growth-oriented Atmosphere

This study investigates the number of non-linear and multi-modal relationships between observed variables measuring the Growth-oriented Atmosphere. The sample (N = 726) represents employees of three vocational high schools in Finland. The first stage of analysis showed that only 22% of all dependencies between variables were purely linear. In the second stage two sub samples of the data were identified as linear and non-linear. Both bivariate correlations and confirmatory factor analysis (CFA) parameter estimates were found to be higher in the linear sub sample. Results showed that some of the highest bivariate correlations in both sub samples were explained via third variable in the non-linear Bayesian dependence modeling (BDM). Finally, the results of CFA and BDM led in different substantive interpretations in two out of four research questions concerning organizational growth.     

Evaluating estimation methods for ordinal data in structural equation modeling

This study examined the performance of two alternative estimation approaches in structural equation modeling for ordinal data under different levels of model misspecification, score skewness, sample size, and model size. Both approaches involve analyzing a polychoric correlation matrix as well as adjusting standard error estimates and model chi-squared, but one estimates model parameters with maximum likelihood and the other with robust weighted least-squared. Relative bias in parameter estimates and standard error estimates, Type I error rate, and empirical power of the model test, where appropriate, were evaluated through Monte Carlo simulations. These alternative approaches generally provided unbiased parameter estimates when the model was correctly specified. They also provided unbiased standard error estimates and adequate Type I error control in general unless sample size was small and the measured variables were moderately skewed. Differences between the methods in convergence problems and the evaluation criteria, especially under small sample and skewed variable conditions, were discussed.     

基于贝叶斯结构方程模型的城际铁路客运需求影响因素分析

作为城市群区域间的连接纽带,城际铁路是社会经济快速发展的基础。研究城际铁路客运需求的影响机理,对于掌握城际铁路客运量分布特征和变化规律具有十分重要的现实意义。通过分析城际铁路客运需求的相关影响因素及相互作用关系,建立基于贝叶斯参数估计的结构方程模型。以长三角与珠三角地区城市群为案例,分析交通运输设施、运输成本以及经济状况等潜在变量对城际铁路客运需求的影响。结果显示,在直接影响层面,经济状况对两地区城际铁路客运需求影响最为显著,而在综合影响层面,交通运输设施对城际铁路客运需求的影响最为显著。     

创造过程投入视角下领导双元创造力的形成机制

本文基于创造过程投入视角,构建结构方程模型探讨领导创造力支持、创造过程投入与双元创造力之间的关系。采用问卷调查法,通过对来自企业领导的360份有效样本分析发现,在工作领域,来自同事和下属的支持不仅能够对激进式创造力产生直接的正向影响,而且还可以通过创意生成对激进式创造力产生间接影响,通过问题识别对递增式创造力产生间接影响;在非工作领域,来自朋友和家人的支持对递增式创造力具有直接的正向影响,而对激进式创造力的影响需要通过创意生成来传递。     

含水层底板标高的两种估值方法比较

对于许多区域水资源问题，用数值方法进行潜水水流模拟时，需要给出每个节点上含水层底板标高值。首先简单介绍了趋势面方法，然后着重阐述了克里格方法的基本原理及它们在合水层底板标高估值中的应用，通过比较两种方法的计算结果可以得出克里格方法是进行含水层底板标高估值的空间最优估计方法。