中文摘要：

为了揭示家庭支持型主管行为（FSSB）对双职工夫妻双方婚姻满意感的影响及作用机制,本研究结合资源-获取-发展观和基于关系支持的积极发展模型,从夫妻互动（相互支持）的角度构建了一个积极溢出-交叉模型。运用结构方程模型对370对双职工夫妻配对数据进行分析,结果表明：（1）FSSB与我国双职工夫妻双方的婚姻满意感均正相关;（2）FSSB可通过增加员工的工作-家庭增益促进员工夫妻间相互支持的互惠效应,进而提升员工夫妻双方的婚姻满意感;（3）夫妻双方所获得的FSSB均可通过促进丈夫的婚姻满意感进而提升妻子的婚姻满意感。本研究提示,增加FSSB能有效促进双职工夫妻间的相互支持、提升夫妻双方的婚姻满意感。

英文摘要：

Marital satisfaction has become an increasingly important research topic due to the increasing divorce rates in mainland China in the past decade. To understand potential causes of decreased marital satisfaction, previous studies have mainly focused on the negative effects of employees＇ work demands. However, this approach has limited implications for practice for several reasons. First, emphasizing the negative influence of work demands on marital satisfaction may negatively impact employees＇ work attitude, because to maintain a successful marriage is a central task of adult development. Second, even when organizations realize that work demands are harmful to employees＇ marital satisfaction, they still may not be able to reduce the work demands due to intense market competition. Given these reasons, identifying potential factors to improve martial satisfaction may have more achievable practical implications, and researchers have begun to investigate the positive effect of work resources on employees＇ family roles. In line with this trend, the primary goal of this study was to examine the relationshio between family suoportive supervisor behavior （FSSB） and dual-earner counles＇ marital satisfaction. Drawing upon prior research on social support and the resource-gain-development perspective, the present study tested a positive spillover-crossover model in which FSSB is predicted to promote work-to-family enrichment that increases the reciprocal effect of social support between husbands and wives, and the reciprocal effect will further positively predict the couple＇s marital satisfaction. We surveyed 370 Chinese dual-earner couples to measure their FSSB, work-to-family enrichment, spousal support and marital satisfaction. Structural equation modeling （SEM） and dyadic data analysis method were used to test the hypotheses. Additionally, whether having children under the age of 18 and whether having elderly domestic helpers were statistically controlled in all hypothesis testing. Analysis results l