网盟营销的定性分析与定量分析

尽管网络广告经营额已超半壁江山,但是理论研究却相形见绌。论市场营销,传统营销居多,网络营销居后;论网络营销,宏观定性分析为主,实证定量分析罕见;论精准营销,搜索引擎常见,网盟少见。此文中进行量化分析的数据、视角和结论,在知网万方维普上未见先例。该文基于实证数据,从适用范围、SE与网盟对比、获客成本及优化效果等角度对网盟营销进行了量化分析。也从运作模式和优势分析两方面进行了定性分析。对引领我国中小企业选择质优价廉的网盟精准营销具有实用价值。     

Confirmatory and Structural Categorical Latent Variables Models

The paper proposes a general framework for modeling multiple categorical latent variables (MCLV). The MCLV models extend latent class analysis or latent transition analysis to allow flexible measurement and structural components between endogenous categorical latent variables and exogenous covariates. Therefore, modeling frameworks in conventional structural equation models, for example, CFA and MIMIC models are feasible in the MCLV circumstances. Parameter estimations for the MCLV models are performed by using generalized expectation–maximization (E–M) algorithm. In addition, the adjusted Bayesian information criterion provides help for model selections. A substantive study of reading development is analyzed to illustrate the feasibility of MCLV models.     

Assessing the Cross-Sex Validity of the Goldthorpe Class Schema Using Log-linear Models with Latent Variables

In this paper we use log-linear models with latent variables to estimate and compare the structure of job characteristics and their relation to positions in the Goldthorpe class schema for male and female employees. We proceed by estimating latent class models of job attributes and then evaluate the degree of similarity in these models between men and women. Sex differences in the patterns of association between the various latent types of job attribute and between those attributes and the Goldthorpe class schema are then assessed. The structure of job attributes is found to be generally similar for men and women; and the Goldthorpe schema is shown to be a similarly effective predictor of these attributes for both sexes. The class structure of employment relations is therefore argued to be equivalent across the sexes, so confirming the generality of class relations as conceptualised by Goldthorpe and his colleagues.     

经济学的定性分析与定量分析:争论与融合

定性分析和定量分析是经济学研究的两种基本手段。前者是对经济事物本质及其属性的分析;后者是对经济事物进行量的考察。学术界对两者存在较严重的分歧,以致形成不同学派的论战;文章就定量分析与定性分析的发展及其发展过程中的争论和融合进行研究,得出结论:经济学的科学性和人文性决定了经济学研究方法必须做到定性分析和定量分析相结合。     

Quantitative and Dynamic Analysis of the Oli Variables Determining Fdi in China

The main determinants of foreign direct investment in China are analyzed quantitatively and dynamically based on Dunning's eclectic theory and empirical models corresponding to location-specific advantages, ownership-specific advantages and internalization advantage. More specifically, the correlation between each OLI variable and FDI is tested and explained in detail. It is concluded that monopolistic advantages of technology and management experience of foreign investors along with China's low labor cost and great market potential might be important factors attracting FDI in China. In addition, using an internal market to establish a network of international production might also be an important determinant for foreigners to directly invest in China. Others might include searching for attractive yields available in equity investment, devaluation of the Chinese currency, distance, culture and global business strategies.     

某钢厂8万m3转炉煤气柜安全风险定性定量分析

通过对某钢厂8万m3转炉煤气柜采用道化学法定量评估火灾风险,采用事故树法对煤气柜可能发生事故的风险进行了分析,并对转炉煤气泄漏和蒸汽云爆炸进行了模拟计算.     

Qualitative Comparative Analysis and robust sufficiency

Quality & Quantity - Some methodologists take the search target of Qualitative Comparative Analysis (QCA) to be causal INUS-conditions, others contend that QCA should instead be used to search...     

Latent Class Analysis of Respondent Scalability

The psychometric literature contains many indices to detect aberrant respondents. A different, promising approach is using ordered latent class analysis with the goal to distinguish latent classes of respondents that are scalable, from latent classes of respondents that are not scalable (i.e., aberrant) according to the scaling model adopted. This article examines seven Latent Class models for a cumulative scale. A simulation study was performed to study the efficacy of different models for data that follow the scale model perfectly. A second simulation study was performed to study how well these models detect aberrant respondents.     

从定性到定量的电子政务绩效评估体系

根据从定性到定量的综合集成理论,分析了电子政务绩效评估的复杂性。基于绩效参考损型(PRM模型)改进的评估指标,建立了将三角模糊数、语言属性,绩效与风险综合评价集成的科学评估体系,最后验证其科学性和有效性。     

Political Variables in Cross-country Growth Analysis

The recent boom in cross-country growth analysis has renewed the empirical interest in political sources of economic growth. A large number of studies have tested political variables in growth regressions and a very heterogenous set of variables has been proposed to measure economically relevant differences in the political systems of countries. This paper distinguishes five categories of relevant political variables: democracy, government stability, political violence, policy volatility, and subjective perception of politics. For each of these categories, the specification, testing method, and results of the most relevant studies are presented and are critically discussed. The paper concludes that measures of democracy are least successful and measures of policy volatility and subjective perception of politics most successful as explanatory variables in cross-country growth regressions.     

The Qualitative and Quantitative Models for Performance Measurement Systems: The Agile Service Development

A decision model for selection using analytic hierarchy process (AHP), however, they did not consider interdependence property but consider independence property among alternatives or criteria. It could become inadequate in measurement of actual performance of the decision process. In order to reduce the decision gap, this paper considers when independence among different elements of a system assumption is violated and takes into account the degree of the interdependence among them. The fuzzy analytic network process (FANP) approach with agile theory is developed to apply in analyzing the new service development in the wholesale center. The FANP could not only offer a hierarchy framework more efficiency and accuracy but also improve human judgment on the importance of requirements involving imprecise and vague. The technique has proved useful for comparing the importance among the determinants of agile for new service development in decision maker’s mind, including agile cost, time, robustness and scope. The empirical result points out that “Diverse designs” of new service development is the best choice for the wholesale center, following as “Service extended” and “Technological core”.     

The Role of Quantitative and Qualitative Network Effects in B2B Platform Competition

This article aims at investigating how quantitative and qualitative (indirect) network effects impact pricing and trading decisions on a Business‐to‐Business marketplace. Using an original data set collected on MFG.com, one of the most prominent B2B platforms in the U.S.A., we find that the market share of a marketplace depends on both the quantity and quality of suppliers, but that quality effects tend to substitute for quantity effects as the size of the marketplace increases. These results suggest that while the quantity of suppliers on board is crucial during the early stage of a marketplace, supplier quality matters much more in the mature stage. Copyright © 2013 John Wiley & Sons, Ltd.     

The Qualitative and Quantitative Significance of Non-Tariff Barriers: An ERP study of Norway

Along with a de-escalation of tariffsin most industrialized countries, a wide range of Non-Tariff Barriers (NTBs) has been developed. NTBs are more challenging to study than tariffsbecause they are more difficult to detect and measure, and because the qualitative functioning of NTBs varies according to their design. In particular, equivalent tariff rate estimates on import quantity restrictions will endogenously react to domestic market shifts, for instance as a result of shifts in other commercial policy measures. Besides emphasizing the quantitative dominance of NTBs to tariffs in the Norwegian trade policy system, this study of Effective Rates of Protection clearly illustrates that it may be critical for trade policy studies to model qualitatively the interdependency between different policy measures.     

Goodness of Fit for Discrete Random Variables Using the Conditional Density

In this paper we find a new test of goodness of fit in the case of discrete random variables. The main advantage of the methodology proposed in this paper relies on the fact that given the sample, we can control the probability of the type I error, that is α, and then find the exact value of the probability of the type II error, β, associated, in some cases. The results are not asymptotic, but exact. Also a conditional test for two alternatives is obtained. We also include some simulations in order to check the power of the procedures.Mathematics Subject Classification (2000) Primary 62G10 · 62B05 · Secondary 62E10     

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.     

基于现金流测量标准的财务预警实证研究

本文突破以传统绩效类指标为预警指标的模式,选取现金流指标并采用判别分析法,对财务危机发生前一年和前两年的制造行业样本数据进行实证研究,建立了以现金流指标为测量标准、针对具体行业的中长期财务预警模型。模型能够从现金流角度判断企业是否存在财务困境,具有较好的预警作用。     

ERP与BPR整合分析

为了适应新的市场环境．提高竞争力．许多企业实施了ERP与BPR。但是要真正充分发挥ERP与BPR的作用，必须将二者成功整合起来。本文首先分析了二者整合的必要性和可行性，进而提出了整合过程中的三个主要问题。即：员工素质的提高、流程重组以及组织管理的优化，并对它们进行了分析。     

风险概念及其数量刻画

风险广泛地存在于各个领域，但人类对风险的认识不尽一致。目前国内外学术界对风险还没有形成公认的、统一的定义。本文对风险的各种解释进行总结，归纳出几种不同的学说观点，并对各种学说的观点进行了评述和数量刻画。