零售企业社会责任行为对企业形象及顾客忠诚的影响机制

将企业形象、感知价值和顾客满意纳入零售企业社会责任驱动顾客忠诚的影响机制模型中,并以大型百货商店和综合超市消费者为调查对象,通过结构方程模型法进行实证检验。研究发现,零售企业的经济责任、环境责任、消费者责任、员工责任、法律责任和慈善责任对企业形象均有积极影响,而对感知价值有积极影响的只有经济责任、消费者责任、员工责任和法律责任。企业形象和感知价值不仅对顾客忠诚产生直接影响,而且通过顾客满意对顾客忠诚产生间接作用。相比企业形象,感知价值对顾客满意和顾客忠诚的影响作用更大。另外,不同零售业态和消费群体特征对零售企业社会责任行为的影响有差异。     

Are the voices of parents heard? A scoping review of satisfaction in parenting programs

Parenting programs are an effective approach to promote positive parenting. In evidence-based practice, client’s values and preferences contribute to promoting quality, and are a crucial component of service evaluation. The current scoping review summarizes quantitative research that examines parental satisfaction with parent training for families with child conduct problems. We aimed to know how much research had been undertaken; what measures have been used; and what were the findings related to parental satisfaction. A scoping review was conducted to retrieve peer-reviewed original articles.Out of 420 papers 5.5 % obtained data on parental satisfaction. Seven different measures were used, mainly Therapy Attitude Inventory and Client Satisfaction Questionnaire. Out of 23 papers, ten studies reported Cronbach's alpha coefficients on the assessment that was used to evaluate parental satisfaction. All of the 23 included studies found that parents are very satisfied with the parenting program they have received.The findings indicate that only a few studies included parents’ values and preferences in quantitative evaluation studies on parental programs. In addition, there is a limited arsenal of assessment tools to measure what matters to parents. There is a need to develop measures with high psychometric quality, which will promote more quality in service evaluation.     

Expectations of Career Counseling and Their Effect on Client Satisfaction

Although there has been growing attention to clients' expectations of career counseling, more research is necessary to clarify the role of these expectations in shaping client satisfaction at the end of the intervention. On the basis of expectation confirmation theory, this study examined the indirect effect of clients' initial expectations on overall satisfaction through the perceived performance and final confirmation of expectations. We also explored whether this indirect effect is dependent on counselors' initial expectations. Longitudinal data were collected on 83 counselor-client dyads involved in a career counseling intervention in northeast Italy. Results confirmed that clients' initial expectations predicted overall satisfaction with the intervention through the subsequent mediation of perceived performance and confirmation of clients' expectations. The moderating role of the counselors' initial expectations was not confirmed. These findings imply that career counselors should invest their efforts in managing clients' expectations.     

Generalized cross entropy method for analysing the SERVQUAL model

The aim of this paper is to define a new approach for the analysis of data collected by means of SERVQUAL questionnaires which is based on the generalized cross entropy (GCE) approach. In this respect, we firstly give a short review about the important role that SERVQUAL plays in the analysis of service quality as well as in the assessment of the competitiveness of public and private organizations. Secondly, we provide a formal definition of GCE approach together with a brief discussion about its features and usefulness. Finally, we show the application of GCE for a SERVQUAL model, based on a patients’ satisfaction case study and we discuss the results obtained by using the proposed GCE-SERVQUAL methodology.     

Genetic Algorithm in the Wavelet Domain for Large p Small n Regression

Many areas of statistical modeling are plagued by the “curse of dimensionality,” in which there are more variables than observations. This is especially true when developing functional regression models where the independent dataset is some type of spectral decomposition, such as data from near-infrared spectroscopy. While we could develop a very complex model by simply taking enough samples (such that n > p), this could prove impossible or prohibitively expensive. In addition, a regression model developed like this could turn out to be highly inefficient, as spectral data usually exhibit high multicollinearity. In this article, we propose a two-part algorithm for selecting an effective and efficient functional regression model. Our algorithm begins by evaluating a subset of discrete wavelet transformations, allowing for variation in both wavelet and filter number. Next, we perform an intermediate processing step to remove variables with low correlation to the response data. Finally, we use the genetic algorithm to perform a stochastic search through the subset regression model space, driven by an information-theoretic objective function. We allow our algorithm to develop the regression model for each response variable independently, so as to optimally model each variable. We demonstrate our method on the familiar biscuit dough dataset, which has been used in a similar context by several researchers. Our results demonstrate both the flexibility and the power of our algorithm. For each response variable, a different subset model is selected, and different wavelet transformations are used. The models developed by our algorithm show an improvement, as measured by lower mean error, over results in the published literature.     

Symbolic cumulant calculations for frequency domain time series

With time series data, there is often the issue of finding accurate approximations for the variance of such quantities as the sample autocovariance function or spectral estimate. Smith and Field (J. Time. Ser. Anal 14: 381–395, 1993) proposed a variance estimate motivated by resampling in the frequency domain. In this paper we present some results on the cumulants of this and other frequency domain estimates obtained via symbolic computation. The statistics of interest are linear combinations of products of discrete Fourier transforms. We describe an operator which calculates the joint cumulants of such statistics, and use the operator to deepen our understanding of the behaviour of the resampling based variance estimate. The operator acts as a filter for a general purpose operator described in Andrews and Stafford (J.R. Statist. Soc. B55, 613–627).     

北非NK 地区上白垩统灰岩裂缝油藏成藏因素

北非Pelagian 盆地是一个重要的含油气盆地,在North Kairouan 地区已经取得了一些积极的勘探成果,但仍存在油藏成藏条件复杂,主控因素不清、勘探难度大、勘探成效低等问题。以地震、钻井及分析化验资料为基础,对研究区上白垩统灰岩裂缝储层成藏条件进行了综合分析,认为该区油气成藏主要受裂缝的走向及发育程度、有效输导层以及盖层的分布共同控制,北西向断层及裂缝发育、具备复式输导层和厚层盖层的构造发育区为有利油气聚集区,指出NK 地区中部复杂背斜带和东部鼻状隆起带为两个有利油气勘探带,对该区碳酸盐岩油藏勘探具有指导意义。     

高校教师工作满意度及其与离职倾向关系的实证研究

以高校教师为研究对象,探讨高校教师工作满意度的主要组成因素,以及它在人口统计变量的差异性和与离职倾向的相关关系,目的在于帮助高校管理者提高管理水平、为制定满足教师需要的管理政策提供依据.文章首先在成熟量表的基础上经过访谈、专家咨询、因素分析、信度和效度检验等方法对工作满意度量表进行了修正,得出一个包含5个维度的工作满意度量表.继尔得出目前高校教师工作满意度水平和离职倾向水平,并对工作满意度在人口统计变量上的差异性进行了解释,最后通过相关分析、回归分析得出工作满意度对离职倾向的负向影响关系.     

Social support,parental role competence and satisfaction among Chinese mothers and fathers in the early postpartum period: A cross-sectional study

BackgroundA sense of parental competence and satisfaction during the transition to parenthood can have a tremendous impact on the quality of parenting behaviors, with social support being an important facilitator.AimTo examine parental role competence and satisfaction of Chinese mothers and fathers in the early postpartum period with regard to social support.MethodsA cross-sectional study was conducted in a regional teaching hospital in Guangzhou, China. The study was conducted between June 5 and November 16, 2015. One hundred and eighty parental pairs at 6–8 weeks after birth completed the Parenting Sense of Competence Scale, Perceived Social Support Scale, and socio-demographic questionnaires.ResultsParental role competence and satisfaction of Chinese mothers and fathers were at a moderate level, affected each other and there were no significant differences between the mothers and the fathers. The Competence Scale scores had a significant positive correlation with social support. Multiple regression analysis revealed two variables that predicted maternal Competence Scale scores: maternal social support and the paternal Competence Scale scores. Paternal social support and maternal Competence Scale scores contributed significantly to paternal Competence Scale scores.ConclusionParental role competence and satisfaction of mothers and fathers were at a moderate level and affected by the parenting partner. To improve parental role competence and satisfaction, health care professionals should develop strategies that impact the whole family and not just a single individual. Supportive parenting programs should be implemented for both mothers and fathers.