我国保险业的行业竞争结构研究——基于战略群组的分析

本研究尝试将战略群组研究应用于我国保险行业的竞争结构分析中,努力将其转化为企业可实际操作的竞争分析工具。在确定关键战略与资源变量的基础上,首先采用阶层式聚类方法,将行业内具有相同战略与资源的企业划分为战略群组;进而利用最优尺度变化的多维尺度分析与空间计量方法创建行业战略地图,将行业内的市场竞争格局显性化,帮助研究者与管理者更加直观和有效地进行动态环境分析和竞争战略制定。     

The positioning of overseas honeymoon destinations

The objective of this study was to investigate the competitiveness of seven overseas honeymoon destinations among potential Korean tourists, and the positioning among them. The main analytical techniques used were multidimensional scaling and correspondence analyses. Results included a variety of information on image similarity, strengths, and ideals of destinations among seven sites, as well as the relationships of major sociodemographic and tourism variables to the sites. The results provide significant insights for a more effective approach to the market positioning of competing places for a honeymoon trip.     

OLAP的构建及其应用研究

文章说明OLAP系统的本质通过描述OLAP应用的目标,阐述了对OLAP应用的专门要求,包括响应速度快、分析能力强以及用户安全的数据读写操作。     

Journal Impact as a Diffusion Process: A Conceptualization and the Case of the Journal of Management Studies

While the question of what makes a journal impactful continues to draw scholarly attention and debate, the lack of conceptual foundation as to what journal impact represents, and how it manifests itself, has impeded efforts to establish a richer understanding. Drawing from the theory of innovation diffusion, we propose journal impact as a multidimensional concept manifested most prominently in the magnitude, prestige, breadth, dispersion, and duration dynamics of citations accruing to a journal. In doing so, we complement extant representations of journal impact as a unidimensional concept with insights into the pattern and profile of a journal impact across space and time. We illustrate the multidimensionality of journal impact as a diffusion process in a longitudinal analysis of citation patterns at the Journal of Management Studies over a 40‐year period.     

Strategic consensus mapping: A new method for testing and visualizing strategic consensus within and between teams

Research on strategic consensus focuses primarily on the extent of agreement among team members regarding organizational strategy. It does not include elements such as the content of the agreement, between‐group consensus, or the significance of differences in consensus (e.g., for evaluating the effectiveness of strategic interventions). We propose a new analytical approach, Strategic Consensus Mapping, that provides a comprehensive analysis of strategic consensus within and between groups and that includes intuitive and easy‐to‐understand visualizations. This approach offers researchers the necessary tools for integrative theory building in strategic consensus, as well as in the broader managerial and organizational cognition domain. Using a case example, we illustrate the proposed methods for a multidimensional, multilevel, and longitudinal analysis of strategic consensus. Copyright © 2013 John Wiley & Sons, Ltd.     

The political economy of multidimensional child poverty measurement: a comparative analysis of Mexico and Uganda

ABSTRACT

As part of the 2030 Agenda, much effort has been exerted in comparing multidimensional child poverty measures both technically and conceptually. Yet, few countries have adopted and used any of these measures in policymaking. This paper explores the reasons for this absence from a political economy perspective. It develops an innovative political economy framework for poverty measurement and a hypothesis whereby a country will only produce and use reliable and sustainable multidimensional child poverty (MDCP) measures if and only if three conditions coalesce: consensus, capacity and polity. We explore this framework with two relevant case studies, Mexico and Uganda. Both countries satisfy the capacity condition required to measure MDCP but only Mexico satisfies the other two conditions. Our proposed political economy framework is normatively relevant because it identifies the conditions that need to change across multiple contexts before the effective adoption and use of an MDCP measure becomes more likely.     

Living Conditions and Basic Needs: Evidence from African Countries

We here use five rounds of Afrobarometer data covering more than 100,000 individuals over the 2004–2016 period to explore the link between individual self‐reported measures of living conditions and access to four basic needs. We not only consider own access to these needs, but also various indices of their deprivation, satisfaction and inequality. We find some evidence of comparisons to those who are better off and to those who are worse off, in terms of access to basic needs, in the evaluation of current living conditions. Overall, however, subjective living conditions are mostly absolute in African countries. There is notable heterogeneity by level of development, with the effect of lack of access to basic needs being more pronounced in poorer countries. Equally, comparisons to the better off are associated with better living conditions in poorer countries, suggesting the existence of a tunnel effect: this latter disappears with economic development.     

Mean squared error of ridge estimators in logistic regression

It is well known that the maximum likelihood estimator (MLE) is inadmissible when estimating the multidimensional Gaussian location parameter. We show that the verdict is much more subtle for the binary location parameter. We consider this problem in a regression framework by considering a ridge logistic regression (RR) with three alternative ways of shrinking the estimates of the event probabilities. While it is shown that all three variants reduce the mean squared error (MSE) of the MLE, there is at the same time, for every amount of shrinkage, a true value of the location parameter for which we are overshrinking, thus implying the minimaxity of the MLE in this family of estimators. Little shrinkage also always reduces the MSE of individual predictions for all three RR estimators; however, only the naive estimator that shrinks toward 1/2 retains this property for any generalized MSE (GMSE). In contrast, for the two RR estimators that shrink toward the common mean probability, there is always a GMSE for which even a minute amount of shrinkage increases the error. These theoretical results are illustrated on a numerical example. The estimators are also applied to a real data set, and practical implications of our results are discussed.     

Corporate environmental performance,environmental management and firm risk

Using a sample of 1,632 U.K. firm‐year observations from 2002 to 2013, this paper investigates the impact of multidimensional corporate environmental performance (CEP) on firm risk. Considering two dimensions of CEP, namely environmental management performance (EMP) and environmental operational performance (EOP), we find that EMP serves as an effective mechanism in reducing firm risk, and such an effect is mainly driven by the manufacturing sector. Meanwhile, there is no clear association between EOP and firm risk. However, our findings highlight a moderating effect of EOP on the relationship between negative EMP and firm risk. This provides new insights into the value of multidimensional CEP and suggests that the complex relationship between outcome‐ and process‐based environmental performance is important for understanding the real effects of CEP on firm risk. Our results have important implications for managerial decision‐making in strategy and risk management, as well as for policymaking in environmental regulation.