The effect of paid maternity leave on low-income families' welfare use in the US

Despite the critical role that paid maternity leave can assume in the economic lives of low-income families, research to date has paid insufficient attention to whether paid maternity leave reduces welfare use for low-income families. Using the Current Population Survey (CPS) March Supplement 2007–2014 with the difference-in-difference (DiD) technique, this study finds a significant policy effect of paid maternity leave on reducing the probability of using Temporary Assistance for Needy Families (TANF), TANF benefit amounts and TANF participation length. This study confirms that paid maternity leave is likely to prevent low-income families from using welfare during job interruptions stemming from the birth of a child. Given that TANF is often associated with negative political and social connotations, paid maternity leave can be used as an important social policy to improve economic security as well as offer empowerment in overall social standing for low-income mothers. The discussion focuses on the implications of the findings in a broader context of American welfare states.     

制度创新的"亚"形态与可能路径--对我国股份合作制改革的一个历史判断

从宏观的角度看,由于社会经济发展的实质是技术或基本生产函数的不断创新,制度促进经济发展或阻碍经济发展的实质,也就是制度能否使社会的创造力充分释放出来,从而不断推动技术及基本生产函数的创新。制度的价值在于它能为经济活动提供一种稳定的长期服务,凭借它,人们可以对经济活动产生长期的预期。因此,人们选择一种制度并使其在历史过程中延续下去,必然意味着人们不断地对其做长期的利益投入并对其抱以长期的收益预期。     

教养方式对不同性别学前儿童羞怯的影响：基于模糊集定性比较分析（fsQCA）

为探讨父母教养方式对不同性别学前儿童羞怯的组合作用路径,研究采用模糊集定性比较分析（fsQCA）,考察了532名学前儿童的性别和教养方式四个维度（说理、随和、命令、言语攻击）共5个条件变量影响儿童羞怯的条件组态。结果发现：1）单个父母教养方式不是影响学前儿童羞怯的必要条件,教养方式以组态的方式影响学前儿童羞怯;2）影响“儿童羞怯”的三条组合路径分别是“女孩*非说理”、“女孩*命令*言语攻击”、“非说理*命令”;影响“非儿童羞怯”的三条组合路径分别是“男孩*非言语攻击”、“说理*非说理*随和”。     

Functional and emotional traits of corporate social media message strategies: Behavioral insights from S&P 500 Facebook data

Drawing from literature regarding public engagement, the Elaboration Likelihood Model (ELM), computer-mediated communication research, and emotion psychology, this study examines the effects of companies’ social media communication strategies on public engagement behaviors as indexed by post likes, shares, and comments. Specifically, it investigates how corporate Facebook posts’ functional traits (functional interactivity and vividness) and emotional traits (emotion presence, valence, and strength) impact public engagement online. Through data mining and computer-assisted sentiment analysis of 33,379 posts from 106 Standard & Poor 500 companies’ Facebook accounts, this study finds a negative effect of functional interactivity but a positive effect of vividness on engagement. It also shows that emotional traits overall yield stronger public engagement outcomes. Two-way interactions between emotional and functional features are also detected. Theoretical and practical implications are discussed.     

The quest for legitimacy and the communication of strategic cross-sectoral partnership on Facebook: A big data study

Nowadays, many wicked problems such as environmental issues require organizations from multiple sectors to form cross-sectoral alliances. Cross-sectoral alliance networks can transfer resources and signal affiliations and value alignment between strategic partners. The communication of cross-sectoral alliances is a form of CSR communication that serves organizations’ strategic goals and objectives. Drawing on the literature on digital CSR communication and legitimacy theory, this article examines which legitimacy needs shape the formation of cross-sectoral ties on Facebook in addressing environmental and sustainable development issues in the United States. Combining data-mining, text-mining, social network analysis, and exponential graph modeling, this research investigates the structure of a network among 3071 organizations across multiple sectors. Findings show that organizations’ cross-sectoral tie formation is mainly driven by social legitimacy and alliance legitimacy needs.     

Validation of the Learning Transfer System Inventory (LTSI) in the Korean corporate context

Lack of a valid instrument to measure learning transfer predictors has been the major obstacle hindering Human Resource Development (HRD) professionals from moving forward. This problem is one of the lingering HRD issues in South Korea, in which human resources have been strategically emphasized as a critical asset due to the scarcity of natural resources. To address this issue, this study aims at testing the validity and reliability of the data collected with the Korean Learning Transfer System Inventory (LTSI) Version 4. A sample of 753 managers from 16 Korean industries was divided into two subsamples for exploratory and confirmatory factor analyses. Reliability and the effect of common method variance on the factor structure were examined, with the results suggesting that the LTSI is valid for use in the Korean industry.     

Marketing as an Investment in Shareholder Value

We present resource‐based and capability‐based arguments of marketing investment intensity to offer a strategic view of marketing as an investment in shareholder value. We find that marketing investment intensity has a U‐shaped quadratic effect on shareholder value creation (Tobin's q) that calls for marketing investment to be protected and increased, not surrendered. We show how marketing investments interact with investments in R&D, human capital and operations to reveal how strategic co‐investments can alter the shareholder value of marketing. Finally, we show how competitive intensity and failings in the firm's investment productivity (its ability to convert investment expenditure into sales) point to malaise in the firm's own strategic architecture as a fault for perceived poor returns from marketing investments. Our findings suggest that marketing investment should not be scapegoated when its contributions to shareholder value are not as expected. When invested in strategically and in combination with other investments, marketing can unlock exciting improvements in shareholder value.     

人民币汇率的双成分混合波动率模型

汇率波动性预测在金融和计算领域一直受到广泛关注,然而由于缺乏可以捕捉汇率波动动态变化的预测模型,高频汇率的波动率预测至今没有得到彻底的研究.文章提出了基于神经网络的双成分混合汇率波动率模型,该模型利用低通Hodrick-Prescott滤波器将已实现波动率分解为长期分量和短期分量,使用自回归神经网络模拟长期分量,一阶自回归过程模拟短期分量,通过实证分析确定自回归神经网络参数(10个隐神经元和四阶滞后输入神经元),以6种主要高频率汇率(英镑/人民币,美元/人民币,澳元/人民币,欧元/人民币,日元/人民币,和瑞士法郎/人民币),在5 h(d)、20 h(d)、100 h(d)、200 h(d)、360 h(d)和500 h(d)的预测区间构建1 h和1 d已实现波动率,并与双成分GARCH模型、EGARCH模型、四阶滞后自回归神经网络模型3个基准模型进行对比,分析模型的预测性能,实验评估表明,提出的混合预测模型在所有预测的范围内均显著地优于传统人民币汇率波动模型.     

Gender-related factors in family business succession: a systematic literature review

Review of Managerial Science - Succession is one of the most discussed topics in family business research. However, despite the changing professional and family roles of women and the growing...     

湖北省旅游业发展战略构想与对策

湖北是旅游资源大省 ,具有发展旅游业的战略优势。湖北应坚持大旅游发展战略、重点发展战略、精品名牌战略、区域联盟战略、国际化战略和可持续发展战略 ,并采取一系列相应对策 ,将其建成旅游大省、旅游强省 ,从而实现“旅游兴鄂”的战略目标。