众包创新竞赛是众包平台发布任务的一种典型方式,具有广泛的开放性、创新驱动、时效性强等特点,但在众包实践中也存在参与主体不匹配、众包任务解决效率低下等问题。为了提高接包方任务决策的科学性,使接包方在众多任务中匹配到合适的任务,本文提出基于前景理论的接包方任务推荐方法。首先构建用户需求体系,将接包方需求转化为创新任务评价指标,通过熵值法并计算需求权重。在直觉模糊语言环境下引入前景理论来表达接包方在不同风险前景下的心理偏好行为,构建正、负前景矩阵,并确定各个备选任务在不同指标下的总前景值,继而计算各任务的综合前景值,根据计算结果对任务进行排序优选,最后通过猪八戒网的实证研究验证了方法的可行性和有效性。Crowdsourcing innovation contest is a typical way for crowdsourcing platforms to release tasks, with features such as broad openness, innovation-driven, and time-sensitive. However, there are also problems such as mismatches between participating entities and low efficiency in solving crowdsourcing tasks. In order to improve the scientificity of the task decision made by the solver and match the suitable task for the solver from many tasks, this paper proposes a task recommendation method for the solver based on prospect theory. Firstly, the user demand system is constructed, and the solver’s demand is transformed into the evaluation indicators of innovative tasks. Then, the weight of demand is calculated by using the entropy method. In the intuitionistic fuzzy linguistic environment, prospect theory is introduced to express the psychological preference behavior of the acceptor under different risk prospects, and the positive and negative prospect matrices are constructed. Then, the total prospect value of each alternative task in different indicators is determined, and the comprehensive prospect value of each task is calculated. Based on the calculation results, the tasks are sorted and selected, and finally, the feasibility and effectiveness of the method are verified through empirical research on ***.
为了解当前我国农村弱势群体的研究现状和热点趋势,以中国知网(CNKI)近24年(2000~2024年)的770篇文献为样本,利用CiteSpace工具进行处理和分析,绘制并呈现研究的发布量、核心作者和研究机构之间的关系,通过关键词的共现、聚类与突现词等的知识图谱的可视化分析揭示国内相关研究的热点和态势,为当前我国农村弱势群体的发展和治理提供一些助力和参考。结果发现:(1) 研究起步较晚,相关研究机构力量较大但是彼此联结合作的强度较低;(2) 国内近几年研究涉及的包括精准扶贫、社会保障、乡村振兴、和谐社会、移民搬迁、公众参与等内容与弱势群体相互交织,是该领域内研究的重点和热点;(3) 国内数字弱势和社会融入对农村弱势群体生活发展的影响研究需要深入探索。In order to understand the current research status and hotspot trends of disadvantaged rural groups in China, 770 papers from CNKI in the past 24 years (2000~2024) were taken as samples, and the citespace tool was used to process and analyze them, and the relationship between the number of research publications, core authors and research institutions was drawn and presented, and the hotspots and trends of related domestic research were revealed through the visual analysis of knowledge graphs such as keyword co-occurrence, clustering and emergent words. It provides some help and reference for the development and governance of vulnerable groups in rural areas in China. The results showed that: (1) The research started late, and the strength of related research institutions was relatively large, but the intensity of mutual cooperation was low. (2) In recent years, the contents of domestic research, including targeted poverty alleviation, social security, rural revitalization, harmonious society, migration and relocation, and public participation, are intertwined with vulnerable groups, which are the focus and hot spots of research in this field. (3) The impact of digital disadvantage and social inclusion on the life and development of rural disadvantaged groups in China needs to be further explored.
为研究上海居民对当前个人养老金政策满意程度的情况,首先通过中国知网、EBSCOhost数据库等信息平台查找个人养老金政策的相关文献,以了解我国关于个人养老金的具体政策内容。文章以居民的视角,通过社会调查法、抽样调查法同时开展线上问卷以及线下调研相结合的方式,发现影响上海居民对个人养老金政策满意度的因素可分为居民自身因素以及政策特征因素两类,其中,居民自身因素中,可通过中介效应分析居民的平均收入及健康水平对满意度的影响;此外,政策特征因素中,通过建立多元Logistic回归方程分析得知,“自负盈亏,压力大”、“期限长,不能在期中取出”、“优惠力度不够吸引人”这三方面是阻碍上海居民提升个人养老金政策满意度的主要因素。基于此,文章从政府层面、市场层面以及个人层面提出了对于个人养老金制度的优化路径。In order to study the satisfaction of the current personal pension policy of Shanghai residents, the relevant literature on the personal pension policy is searched by the China National Knowledge Infrastructure, EBSCOhost database, and other information platforms in order to understand the specific policy contents of the personal pension in our country. From the perspective of residents, this paper combines online questionnaires and offline surveys with social surveys and sampling surveys and finds that the factors affecting Shanghai residents’ satisfaction with personal pension policies can be divided into residents’ own factors and policy characteristics. Among the residents’ factors, the mediating effect can be used to analyze the influence of average income and health level of residents on satisfaction. In addition, among the characteristic factors of the policy, through the establishment of multiple Logistic regression equation analysis, it is found that “self-financing, great pressure”, “long term, cannot be withdrawn in the interim”, and “preferential intensity is not attractive enough” are the main factors hindering their satisfaction with personal pension policy. Based on this, this paper puts forward the optimization path of the personal pension system from the government level, the market level, and the individual level.
暂无评论