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论文编号：	15433
作者编号：	2120223821
上传时间：	2025/6/11 14:37:56
中文题目：	中年失业女性再就业的信息搜寻困境与破解路径
英文题目：	The Information Search Dilemma and Resolution Path for the Re-employment of Middle-aged Unemployed Women
指导老师：	李颖
中文关键字：	信息搜寻；中年女性；再就业；社会支持
英文关键字：	Information Search;Middle-aged Women;Re-employment;Social Support
中文摘要：	本研究聚焦于中年失业女性再就业过程中的信息搜寻困境及其破解路径。随着我国经济转型与产业结构调整，劳动力市场的性别与年龄不平等持续加剧,中年失业女性的再就业问题更加突出。本研究旨在探寻中年失业女性在职业信息搜寻过程中存在的困境，并基于社会支持理论提出本专业视角下的优化建议。 基于Dervin的意义建构理论，本研究构建了中年失业女性职业信息搜寻行为模型，并通过田野调查（16例深度访谈）与问卷调查（313份有效样本）相结合的方法，结合结构方程模型（SEM）验证了信息素养、社会支持与社交媒体使用对提升搜寻结果满意度的积极作用。研究发现，中年失业女性普遍面临信息源单一、数字技能不足及社会支持薄弱等困境，其信息搜寻行为呈现出显著的职业分层与地域差异。结果表明，中年失业女性在信息搜寻方面呈现出显著的分层特性。基层工作者在信息获取上主要依赖人际网络和社交媒体，然而却受到数字技能不足的限制；企业工作者则面临更为严峻的年龄歧视，不过对专业招聘平台的使用率相对较高。从地域差异来看，城乡之间的信息渠道出现明显分化，城市群体更倾向于使用专业平台，而乡镇群体则依赖熟人网络，并且地域产业特征（例如县域毛衫产业）还形成了独特的信息生态。进一步分析发现，信息素养、社会支持以及社交媒体使用对提升搜寻结果满意度有着积极的作用。其中，社会支持能够通过缓解信息困境正向调节搜寻满意度，社区帮扶和家庭支持的调节效应尤为显著。 基于社会学习理论，提出整合基层岗位信息库、强化社区与妇联精准帮扶、推广数字素养培训、优化社交媒体招聘生态等路径，为政策制定与社会服务优化提供理论依据与实践参考。研究弥补了信息分化领域对中年女性群体的微观关注不足，拓展了就业信息搜寻行为研究的理论视角。
英文摘要：	This study focuses on the information search dilemmas and their solutions in the re-employment process of middle-aged unemployed women. With the economic transformation and industrial structure adjustment in China, the gender and age inequality in the labor market has been continuously intensified, and the re-employment problem of middle-aged unemployed women has become more prominent. The purpose of this study is to explore the dilemmas that middle-aged unemployed women face in the process of occupational information search and put forward optimization suggestions from the perspective of this profession based on the social support theory. Based on Dervin's sense-making theory, this study constructs a model of middle-aged unemployed women's occupational information search behavior. Through the combined method of field investigation (16 in-depth interviews) and questionnaire survey (313 valid samples), and using structural equation modeling (SEM), it verifies the positive effects of information literacy, social support, and social media use on improving the satisfaction with search results. The study finds that middle-aged unemployed women generally face dilemmas such as single information sources, insufficient digital skills, and weak social support, and their information search behaviors show significant occupational stratification and regional differences. The results show that middle-aged unemployed women have significant stratification characteristics in information search. Grassroots workers mainly rely on interpersonal networks and social media for information acquisition but are limited by insufficient digital skills; enterprise workers face more severe age discrimination, but they have a relatively high utilization rate of professional recruitment platforms. In terms of regional differences, the information channels between urban and rural areas are obviously differentiated. The urban group prefers to use professional platforms, while the township group relies on acquaintance networks, and the regional industrial characteristics (such as the county-level sweater industry) have formed a unique information ecosystem. Further analysis shows that information literacy, social support, and social media use have a positive effect on improving the satisfaction with search results. Among them, social support can positively regulate the search satisfaction by alleviating information dilemmas, and the moderating effects of community assistance and family support are particularly significant. Based on the social learning theory, this study proposes paths such as integrating grassroots job information databases, strengthening accurate assistance from communities and women's federations, promoting digital literacy training, and optimizing the social media recruitment ecosystem, providing a theoretical basis and practical reference for policy formulation and social service optimization. The study makes up for the lack of micro-level attention to middle-aged women in the field of information differentiation and expands the theoretical perspective of employment information search behavior research.
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