Factors associated with a positive childbirth experience in Brazilian women: A cross-sectional study

BackgroundHaving a positive childbirth experience is an increasingly valued outcome. Few studies evaluated the women’s satisfaction with childbirth through face-to-face interviews out of the health service environment. The objective of this study was to identify factors associated with a higher level of satisfaction with the childbirth experience among Brazilian women.MethodsThis cross-sectional study involved 287 women giving birth in two hospitals in southern Brazil. Women who gave birth to healthy newborns at term were randomly selected. Face-to-face interviews were conducted 31–37 days after delivery, at the mothers’ homes, using a structured questionnaire. Satisfaction with the childbirth experience was measured using a Likert-type scale ranging from very satisfied to very dissatisfied. Prevalence ratios (PR) were estimated using Poisson regression with robust variance.ResultsFollowing hierarchical multivariate analysis, the following factors remained associated with a higher level of satisfaction with the childbirth experience: being satisfied with antenatal care (PR = 1.30; 95% confidence interval [95%CI] = 1.06−1.59), understanding the information provided by health professionals during labor and delivery (PR = 1.40; 95%CI = 1.01−1.95), not having reported disrespect and abuse (PR = 1.53; 95%CI = 1.01−2.31), and having had the baby put to the breast within the first hour of life (PR = 1.63; 95%CI = 1.26−2.11). No association was observed with type of delivery or hospital status (public or private).ConclusionsA higher level of satisfaction with the childbirth experience is related to satisfactory antenatal care, a non-abusive, respectful, and informative environment during childbirth, and to the opportunity to breastfeed the baby within the first hour of life. In clinical practice, greater attention to these basic principles of care during pregnancy and delivery could provide more positive experiences during birth.     

政府动态奖惩机制下绿色建筑供给侧演化博弈研究

从绿色建筑供给侧角度出发，构建消费者效用函数、开发商利润函数和政府与开发商的演化博弈模型，分析消费者绿色偏好、建筑绿色度、成本等因素对建筑价格、需求和利润的影响以及政府动态奖惩政策下系统的演化稳定策略。结果表明：消费者绿色偏好支付系数和建筑绿色度的增大有利于绿色建筑价格、需求和利润的提高，但高成本却使需求和利润降低；政府采用静态补贴与静态税收政策时，博弈系统不存在演化稳定策略，采用动态补贴与静态税收、静态补贴与动态税收、动态补贴与动态税收三种政策组合时，系统存在演化稳定策略；动态补贴与静态税收的政策组合在推动绿色建筑发展方面优于其他政策；开发商开发绿色建筑的概率与补贴上限值呈负相关，与税收上限值呈正相关。     

Improved Transferability of Data‐Driven Damage Models Through Sample Selection Bias Correction

Damage models for natural hazards are used for decision making on reducing and transferring risk. The damage estimates from these models depend on many variables and their complex sometimes nonlinear relationships with the damage. In recent years, data‐driven modeling techniques have been used to capture those relationships. The available data to build such models are often limited. Therefore, in practice it is usually necessary to transfer models to a different context. In this article, we show that this implies the samples used to build the model are often not fully representative for the situation where they need to be applied on, which leads to a “sample selection bias.” In this article, we enhance data‐driven damage models by applying methods, not previously applied to damage modeling, to correct for this bias before the machine learning (ML) models are trained. We demonstrate this with case studies on flooding in Europe, and typhoon wind damage in the Philippines. Two sample selection bias correction methods from the ML literature are applied and one of these methods is also adjusted to our problem. These three methods are combined with stochastic generation of synthetic damage data. We demonstrate that for both case studies, the sample selection bias correction techniques reduce model errors, especially for the mean bias error this reduction can be larger than 30%. The novel combination with stochastic data generation seems to enhance these techniques. This shows that sample selection bias correction methods are beneficial for damage model transfer.     

高校哲学社会科学研究评价的本质要求及其制度建设

建设具有中国特色、中国风格、中国气派的哲学社会科学,一直是我国哲学社会科学繁荣发展的根本目的.提升高校哲学社会科学繁荣发展水平,离不开科学有效的哲学社会科学研究评价.坚持党的领导、"二为"方向和"双百"方针是哲学社会科学繁荣发展的根本保障,坚持"质量为本"和"创新至上"是哲学社会科学繁荣发展的必然要求,坚持科学权威和公开透明是哲学社会科学研究评价的现实需要.结合当前高校哲学社会科学研究评价中"量化评价下数量与质量的关系论辩","学术评价与科研管理评价的边界异化"和"学术权力和行政权力的制度规制"三大问题聚讼,文章建议通过强化学术成果质量保障机制、优化学术共同体工作机制、构建学术争鸣长效机制和完善学术成果转化应用机制等制度建设,推动构建科学权威、公开透明的哲学社会科学研究评价体系,以期进一步改善新时代高校哲学社会科学研究评价工作.     

中国“碳中和”目标的实现路径与模式选择

围绕中国碳中和目标的实现路径与模式选择问题，提出了一个中国应对气候变化整体治理模式，即多阶段混合主导型碳中和实现模式。这一模式是以国家为核心，在一定时期和内外环境约束下，通过减排和增汇路径，对中国境内由人类活动造成的CO2排放与人为CO2吸收量之间关系进行调整和平衡的过程；其内部由宏观、中观和微观三层结构组成，每层结构各不相同。多阶段混合主导型碳中和实现模式的提出，拓展和完善了气候变化整体治理理论，为气候变化治理提供了机制借鉴。     

人工智能时代企业管理变革的逻辑与分析框架

人工智能作为社会发展和技术创新的产物,已经成为新一轮科技创新和产业变革的核心驱动力,正在对世界经济、社会进步和人民生活产生极其深刻的影响。人工智能的商业应用会改变企业内部运作和生产经营的过程,为企业管理带来了诸多挑战和变革机遇。本文结合人工智能的特征与发展趋势,从管理对象、管理属性、管理决策和管理伦理四个方面对人工智能时代企业管理变革的逻辑进行了梳理,得出如下推论:第一,人工智能时代,被管理者将出现越来越多的"人工智能员工",以"社会人"为中心的管理理论和管理手段的适用性降低,如何管理"人工智能员工"以及协调人类员工与智能机器人的关系将对管理者提出挑战;第二,人工智能时代,管理属性不仅包括管理理论的科学性、管理实践的艺术性,还包括管理过程的技术性;第三,人工智能时代,将出现一批优秀的技术管理者,此时,技术管理者指的不是管理技术的人,而是掌握智能技术的管理者;第四,人工智能时代,管理者的决策环境得到优化,管理活动中的决策准则将由"满意决策"过渡为"最优决策";第五,人工智能时代,管理手段的智能化发展可能会加剧管理效率和管理伦理的冲突,管理者必须提升管理道德,经营过程中强化社会责任的履行;第六,随着人工智能技术发展,政府、社会团体和行业协会有必要从政策、法律与行业标准等多个方面构建人工智能发展伦理的多层次约束机制。     

集体行动视角下的制度逻辑演化机制研究

通过对我国专车服务市场制度变革过程的纵向案例研究，探讨了组织场域中的集体行动如何推动制度逻辑演化的内在机制问题。研究发现：制度逻辑的演化过程主要经历了分离、冲突和共存三种状态，不同的制度逻辑的演化是由行动主体能动性策略和资源利用所构建的集体行动模式差异性驱动的。制度变革机会的涌现促使场域中的行动主体采用协调性的集体行动模式，促成了新制度逻辑的生成，并导致了新、旧两种制度逻辑的分离；在制度变革机会变得模糊的场域中，行动主体非协调的集体行动促使新、旧两种制度逻辑之间的激烈冲突；而在制度变革机会沉没的情境下，行动主体再协调性的集体行动最终促成了新、旧两种制度逻辑的共存。研究结论对我国当前复杂制度环境下新兴业态的发展以及传统业态的协同治理提供了重要的借鉴和启示。     

Using Lean Six Sigma to improve mobile order fulfilment process in a telecom service sector

This study proposes and follows a specific and systematic framework for implementing Lean Six Sigma (LSS) methodology in a telecom company in order to improve customer satisfaction by minimizing the company’s response time to customer requirements. The goal of this study was achieved by utilizing several LSS tools under five phases of the DMAIC methodology. Unlike previous studies in the telecom sector that used only qualitative method, in this study, both qualitative and quantitative methods were utilized to draw meaningful conclusions. As a result of the implementation of the LSS methodology, the average order fulfilment lead time for sales orders (SO) and value-added service (VAS) orders was reduced from 10.3 to 5.9 days and from 1.5 to 0.5 days, respectively. The reduction in lead time resulted in an increase in the sigma level for SO and VAS orders from 0.44 to 1.26 and from 0.73 to 2.66, respectively. These improvements were expected to lead to a financial benefit in savings of over $600,000 per year in operational costs, enhancements to customer experience and an increase in revenue generating opportunities. Moreover, this article enriches the existing literature on the application of LSS concept in the service industry, and helps the company to speed up the response to customer requirements.     

Cooperative innovation through a talent management pool: A qualitative study on coopetition in healthcare

In recent years, the Dutch healthcare sector has been confronted with increased competition. Not only are financial resources scarce, Dutch hospitals also need to compete with other hospitals in the same geographic area to attract and retain talented employees due to considerable labour shortages. However, four hospitals operating in the same region are cooperating to cope with these shortages by developing a joint Talent Management Pool. ‘Coopetiton’ is a concept used for simultaneous cooperation and competition. In this paper, a case study is performed in order to enhance our understanding of coopetition. Among other things, the findings suggest that perceptions of organizational actors on competition differ and might hinder cooperative innovation with competitors, while perceived shared problems and resource constraints stimulate coopetition. We reflect on the current coopetition literature in light of the research findings, which have implications for future research on this topic.     

Capturing the broader picture of value co-creation management

The interactional, interdependent, and dynamic nature of value co-creation has made value management in business relationships a particularly challenging issue for both academicians and practitioners. In addition, studies on this topic have mostly focused on managing value co-creation in isolation from the wider relational context without completely capturing the influence of other value processes on value co-creation. This paper examines the broader picture of value co-creation management by providing a model based on interlinked value processes, namely, value communication, value appropriation, value measurement, and value representation. We adopted a qualitative approach based on 86 interviews with managers of both customer and supplier companies, which operated in different industries. Results showed that the management of value co-creation implies considering complex patterns of interconnections with other value processes. In particular, the study will shed light on the centrality of value appropriation to co-create value and on the importance of value representation to coordinate ideas and enable future co-creation opportunities.