企业全球人力整合的挑战

麦肯锡调查显示，跨国公司业绩表现与全球人力整合的实践效果有必然联系.     

Influential Observations in the Functional Measurement Error Model

In this work we propose Bayesian measures to quantify the influence of observations on the structural parameters of the simple measurement error model (MEM). Different influence measures, like those based on q-divergence between posterior distributions and Bayes risk, are studied to evaluate the influence. A strategy based on the perturbation function and MCMC samples is used to compute these measures. The samples from the posterior distributions are obtained by using the Metropolis-Hastings algorithm and assuming specific proper prior distributions. The results are illustrated with an application to a real example modeled with MEM in the literature.     

A new class of skew-symmetric distributions and related families

In this work, we investigate a new class of skew-symmetric distributions, which includes the distributions with the probability density function (pdf) given by g _α(x)=2f(x) G(α x), introduced by Azzalini [A class of distributions which includes the normal ones, Scand. J. Statist. 12 (1985), pp. 171–178]. We call this new class as the symmetric-skew-symmetric family and it has the pdf proportional to f(x) G _β(α x), where G _β(x) is the cumulative distribution function of g _β(x). We give some basic properties for the symmetric-skew-symmetric family and study the particular case obtained from the normal distribution.     

Time preference and capital mobility in an OLG model with land

This paper examines the pattern of capital mobility in a two-country overlapping generations world in which production uses three inputs: capital, labor and land. The steady-state welfare consequences of opening countries to financial capital or labor mobility are then compared. In particular, it is shown that capital mobility does not equalize standards of living across countries. To achieve this goal, one has to rely on labor mobility. Received: 8 January 1996 / Accepted: 6 June 1996     

Reliability reporting practices in youth life satisfaction research

Due to the emergence of positive psychology in recent years, a growing line of research has focused on aspects of psychological wellness rather than psychopathology. Within the context of positive psychology, life satisfaction has emerged as a key variable of study in relation to adult and youth populations. Accurate measurement of life satisfaction and subsequent interpretation of results requires that the assessment devices yield strong psychometric properties. In terms of consistent measurement, reliability estimates must be calculated with each administration, as changes in sample characteristics may alter the scale’s ability to generate reliable scores. Therefore, the present study was designed to address reliability reporting practices for three youth life satisfaction measures. Seventy-three occasions of use were identified in the literature for the three scales examined in this study. Results suggest that greater than half of the life satisfaction studies calculated reliability coefficients from their own data. A discussion of reliability from classical test theory is provided, examples of correct reliability reporting practices are given, and implications for reporting reliability are discussed.     

Reducing Absenteeism and Rescheduling Among Grocery Store Employees With Point-Contingent Rewards

The purpose of this research was to evaluate a reward program designed to reduce absenteeism among staff (N = 38) at a grocery store. The intervention included public feedback and a credit reward system whereby participants got store dollars for attendance and authorized rescheduling of work assignments. Results showed that absenteeism decreased from a group mean of 8 shifts missed per week during baseline to 4.25 shifts missed per week during the intervention before increasing to 6.75 shifts missed per week during the reversal phase. The mean total rescheduling occurrences were reduced from a baseline average of 19.83 per week to 9.25 per week during the intervention and returned to 22.25 per week during the reversal. Employees were also less likely to leave early during the intervention period.     

Analysis of 0 to 10-point response scales using factorial methods: a new perspective

This paper analyses the implications of using survey response scales with 10 or more categories which are often analysed using factorial techniques such as principal components analysis. Although it is the type of metric that determines the choice of this method of analysis, these scales, despite being considered metric, lack some metric properties, such that a score of 10 in a satisfaction survey, for example, does not represent twice the satisfaction of a score of 5. Their ordinal nature also means they cannot be treated as purely categorical. Thus, having both metric and categorical properties, they allow the use of different factor analysis techniques. The second objective is to apply different factorial techniques to a given test item in order to detect potential differences in the analytical information obtained by each method. Finally, we will discuss their relative advantages and disadvantages for use with this type of survey question.     

Exploring the relationship between gambling,debt and financial management in Britain

The issue of how and why gamblers end up in debt has received comparatively little attention in the literature. Data from the 2007 Adult Psychiatric Morbidity Survey (APMS) revealed that although problem gamblers were more likely than non-problem gamblers to have forms of financial debt, just under two-thirds of problem gamblers (62%) reported having no debt. Using a qualitative approach, this study aimed to explore the issue from the perspective of gamblers themselves through interviews with 27 purposively sampled gamblers drawn from participants who took part in the APMS and the British Gambling Prevalence Survey 2010. Analysis, using the Framework method, suggested the existence of four kinds of gamblers categorized by their approach to gambling spending and their approach to their general spending: ‘controlled gamblers’, ‘uncontrolled gamblers’, ‘uncontrolled spenders’ and ‘chaotic spenders’. Also proposed on the basis of these data is an ecological model which aims to capture the different levels of personal and environmental factors that influenced people's financial decisions, including cognitive factors, control and compulsion, normative spending, resource and financial management, and the credit environment. The implications for practice are also discussed.     

Shared Governance in Communities: Using Study Circles to Put Citizens at the Center of the System

This article describes four communities where citizens and government are participating in a dialogue and action process called study circles. Together, the organizers, citizens, and public officials of these communities are beginning to recognize the potential benefits of sharing the decisions and tasks of governance.