大学生的角色认同状况研究——以钱江学院为例

角色认同是个人对自己身份的知觉和体验过程,大学生的角色认同既是个体心理问题,也是社会问题。本研究采用问卷调查法对468名大学生进行调查,主要探讨大学生的角色认同状况及其影响因素,研究的结果表明：大学生的角色认同的总体状况较为积极;性别、政治面貌、年级、是否独生子女等因素对大学生的角色认同的影响呈现不同程度的显著差异。     

从角色冲突视角看农村留守妻子

随着中国农民工族的日益壮大,农村留守妻子群体不断地扩张,她们所面临的一些问题也引起了人们的关注。本文主要从角色冲突的视角并结合案例分析以揭示我国农村留守妻子所承受的压力,而且提出了相应的对策和建议。     

Competitive and Cooperative Positioning in Supply Chain Logistics Relationships*

Cooperative logistics relationships require the sharing of information, which must be enabled by the integration of disparate information systems across partners. In this article, we theorize business‐to‐business logistics relationships should be managed using cooperative and competitive postures. Based on data from 91 dyadic relationships using interorganizational information technology (IT), we find that performance gains accrue when parties share strategic information and customize IT; mutual trust enables IT customization and strategic‐information flows and equitable relationship‐specific investments positively impact IT customization, mutual trust, and performance. Among other scholarly and practical implications discussed, partners should compete on resources for IT customization and cooperate to share strategic information. Managers tend to think of relationships with firms as polar opposites and view them as entirely cooperative or entirely competitive. Our results support active balancing and understanding of both competitive and cooperative stances. Such an approach enables conditions for participation symmetry that yields greater performance gains.     

论角色关系人情化 -关于中国社会人际交往的一种描述和评判

本文以"角色关系人情化"概括了传统社会中"差序格局"之类特殊主义的交往方式对现代社会的介入.作者认为,建立在血缘、地缘等自然共同性基础上的"人情"介入公共领域人与人之间的权利、义务关系(本文称为"角色关系"),这是中国社会人际交往的一个普遍倾向、趋势,反映到观念形态中就有"合情合理"的价值追求.文章分析了"角色关系人情化"的根源以及后果,指出人情的突出必然淡化、消解正常的角色关系.     

竞争博弈中的角色转换

本文讨论了博弈论中价值网的概念,解释了价值网在竞争分析中的作用,解释了通过改变博弈中的参与者的地位而使博弈对自己有利.本文首次提出了价值网中博弈方角色转换的概念,提出了价值网的网络模型,讨论了由此种转换而产生相应结果,从而拓展了价值网分析的范围.     

企业主集权:边界理论的新观点

与企业主关系亲近会让经理人获得更多授权吗?本文借助边界理论的分析框架提出了一种新的理论逻辑,强调家族涉入管理会影响企业主边界行为策略,进而影响控制权配置行为。基于双样本和两重测量的实证研究发现,家族涉入管理与企业主集权程度正相关,而目前学界普遍认同的企业主与经理关系亲近就会向后者更多授权的命题,仅在家族不涉入管理的情况下成立,在家族涉入管理的情况下并不成立。上述研究结果表明,家族涉入管理容易诱导企业主将家长身份与企业家身份一体化,把职业经理也纳入家长式集权管理之下,即使他们与企业主之间建立起泛家族化的亲近关系,也不易获得企业主的更多授权。     

大学文化建设与学生的社会性发展

大学文化是高等学校在办学过程中形成的,并为师生员工所认同的理想、信念、价值观和行为准则,是高校办学特色的灵魂.学生的社会性发展则是高等教育的首要目标和公民及社会发展的基础.重视大学文化建设,具有价值引导和规范作用、情感激励和凝聚作用、精神熏陶和感染作用.大学文化建设的内容,可分为观念文化建设、精神文化建设、制度文化建设和物质文化建设四个层面.     

Stress and role satisfaction experienced by employed and nonemployed mothers with young children

The associations between employment status, role choice, social support, stressful events, and mothers' experiences of stress and role satisfaction were investigated. Interviews and questionnaires were used to obtain information from 105 mothers with two-year-old children. Role choice, social support, and stressful events each predicted the amount of stress mothers experienced in their lives, although not all did so independently. Employment status, role choice, and social support predicted role satisfaction.Thanks are extended to Lynn Arner, Susan Goodwyn, and Cindy Litman for their contributions to the project, and to Curt Acredolo and Leanne Friedman for their assistance with statistical analysis and computer programming.Susan B. Crockenberg received her Ph.D. from Stanford University. She is now a Professor, Department of Applied Behavioral Sciences, University of California, Davis, CA 95616. Research interests include the developmental, contextual, and child determinants of maternal role adjustment, maternal behavior, and their impact on the child's social-emotional development.     

Adaptive Modeling Procedure Selection by Data Perturbation

Many procedures have been developed to deal with the high-dimensional problem that is emerging in various business and economics areas. To evaluate and compare these procedures, modeling uncertainty caused by model selection and parameter estimation has to be assessed and integrated into a modeling process. To do this, a data perturbation method estimates the modeling uncertainty inherited in a selection process by perturbing the data. Critical to data perturbation is the size of perturbation, as the perturbed data should resemble the original dataset. To account for the modeling uncertainty, we derive the optimal size of perturbation, which adapts to the data, the model space, and other relevant factors in the context of linear regression. On this basis, we develop an adaptive data-perturbation method that, unlike its nonadaptive counterpart, performs well in different situations. This leads to a data-adaptive model selection method. Both theoretical and numerical analysis suggest that the data-adaptive model selection method adapts to distinct situations in that it yields consistent model selection and optimal prediction, without knowing which situation exists a priori. The proposed method is applied to real data from the commodity market and outperforms its competitors in terms of price forecasting accuracy.     

A First-Order Spatial Integer-Valued Autoregressive SINAR(1, 1) Model

Binomial thinning operator has a major role in modeling one-dimensional integer-valued autoregressive time series models. The purpose of this article is to extend the use of such operator to define a new stationary first-order spatial non negative, integer-valued autoregressive SINAR(1, 1) model. We study some properties of this model like the mean, variance and autocorrelation function. Yule-Walker estimator of the model parameters is also obtained. Some numerical results of the model are presented and, moreover, this model is applied to a real data set.