The Impact of Employment on Parental Coresidence

We examine the extent to which parents use housing and shared living arrangements as a form of risk‐sharing for their adult children, using detailed data on children and parents in the Health and Retirement Study for 1998–2012. On average, a young man moving from full‐time to nonemployment raises the likelihood of coresiding with a parent by 1.5 percentage points; moving from full‐time employment to being part‐time employed raises the likelihood of coresiding with a parent by 2 percentage points. The implied elasticity of parental coresidence with respect to the son's income is ‐1.1; for daughters, the elasticity is ‐0.5.     

High Leverage and Willingness to Pay: Evidence from the Residential Housing Market

I document a strong correlation between paying the full listing price on homes and borrowing 100% loan‐to‐value. Homebuyers who do both overpay by 2.8% to 3.9% ($4,800 to $6,700) and are 22.7% more likely to have their properties foreclosed within one year. The correlation is not mechanical: there is a discontinuity in the average leverage around the full listing price. The correlation is stronger in areas with a high fraction of financially constrained and unsophisticated residents, and in areas of high past price growth (potentially indicative of buyer optimism).     

Building relationship innovation in global collaborative partnerships: big data analytics and traditional organizational powers

This study examines how relationship innovation can be developed in global collaborative partnerships (alliances, joint ventures, mergers, and acquisitions). The recently emerging theory of big data analytics linked with traditional organizational powers has attracted a growing interest, but surprisingly little research has been devoted to this important and complex topic. Therefore, after developing the theoretical foundations, our study empirically quantifies the links between the theoretical constructs based on the data collected from chief executive officers, managing directors, and heads of departments who work in contemporary global data‐and‐information driven collaborative partnerships. The results from structural equation modeling indicate that the relationship innovation depends on the power of big data analytics and non‐mediated powers (NMP, expert and referent). The power of big data analytics also mediates the correlation between NMP and relationship innovation. However, mediated powers (coercive and manipulative) negatively affect the power of big data analytics and relationship innovation. The interaction effects further depict that analytically powered partnerships have better relationship innovation compared with those which focus less on the analytical power. Consequently, the contributions of this study provide a deeper understanding of mechanisms of how modern collaborative partnerships can use big data analytics and traditional organizational powers to co‐create relationship innovation.     

The impact of earnings pressure on exploratory innovation

While earnings expectation has been shown to determine a firm’s investment decisions, the knowledge about how such expectation influences a firm’s investment horizon for innovation is still blurred. This study therefore addresses this research issue by examining the relationship between earnings pressure and exploratory innovation while investigating the moderating effects of cross‐rival effect and resource availability. By examining high‐tech industrial firms in S&P 1500 from 2000 to 2012, the results indicate that stock analysts, as information intermediaries between innovation firms and the capital market, impose pressure through earnings forecasts on firms’ exploratory innovation. Our findings also reveal that the earnings pressure‐exploratory innovation relationship can be mitigated when its competitors encounter a higher level of earnings pressure. However, a firm’s financial slack shows less significant association to moderate the earnings pressure‐exploratory innovation relationship. Possible explanations for the results in regard to their theoretical and practical implications are discussed in this study.     

Close relationship with the supervisor may impede employee creativity by suppressing vertical task conflict

Leader‐member exchange as a form of supportive leadership is expected to foster employee creativity. However, empirical evidence suggested this relationship is complex. This study attempts to address this complexity by proposing and testing a curvilinear mechanism, which attenuates the overall positive effect of LMX on creativity by transmitting a curvilinear indirect effect via vertical task conflict. Results drawn from a sample of 276 supervisor–subordinate dyads provided support for the hypothesized curvilinear indirect effect. Specifically, LMX was found to negatively influence employee creativity by suppressing vertical task conflict for subordinates in high‐quality LMX relationships, while the indirect effect was not significant for subordinates in low‐quality LMX relationships.     

Mapping themes in the study of new work practices

Both shaping and shaped by technological, economic and social facets, the world of work has witnessed a wide array of changes. This review article sets out to provide a synthesis of some of the main directions and insights of existing research connected to the new world of work. In particular, we approached the topic of new work practices through four key dimensions: (1) Conceptual and methodological dimensions in the study of new work practices; (2) Spatial and temporal manifestations of new work practices in the collaborative economy; (3) Individuals, organizations and new work configurations; (4) Power and control. The review article critically discusses the future of work and argues that the ‘new’ world of work simply repeats asymmetrical power relations and inequalities that characterise work activities, with the potential of exacerbating even further disparities, inequalities and precarity.     

When Research Meets Development: Antecedents and Implications of Transfer Speed

This paper focuses on the organization of new product development in large, R&D‐intensive firms. In these firms, research and development activities are often separated. Research is conducted in dedicated research projects at specialized research labs. Once research results are achieved by research projects, they are transferred to business units for further development and commercialization. We investigate the speed whereby research projects transfer their first research results to business units (hereafter: transfer speed). In particular, we analyze the antecedents and performance implications of transfer speed. Based on data of 503 research projects from a European R&D intensive manufacturing firm, our results suggest that a fast transfer speed (as measured by the time it takes for a research project to develop and transfer its first research result to business units) is associated with a better research performance (as measured by the total number of transfers the research project generates). Moreover, we find that different types of external R&D partners—science‐based and market‐based partners—play distinct roles in speeding up project first research transfers. While market‐based partnerships (i.e., customers and suppliers) generally contribute to a faster transfer of first research results, science‐based partnerships (i.e., universities and research institutions) only speed up first research transfers of technologically very complex projects. Our results also show that early patent filings by research projects accelerate first research transfers.     

2，4-二叔戊基苯酚合成工艺的研究

采用大孔强酸性阳离子树脂（A -35）催化剂进行了2,4-二叔戊基苯酚的合成工艺研究,考察了反应温度、进料空速、烯酚比以及反应压力对苯酚烷基化的影响。研究确定了适宜的工艺条件：进料的质量空速为0.6 h -1,反应温度为115℃,反应压力为0.6 MPa,在质量分数为30％的甲基叔戊基醚溶剂存在下,异戊烯和苯酚的物质的量比为1.5,在此条件下苯酚的单程转化率可维持在95％以上,总的选择性在95％以上。     

长历时暴雨强度公式的推求方法

近年来,随着极端暴雨事件的出现,导致城市内涝灾害频繁发生,原有降雨历时仅为2h的市政排水设计暴雨强度公式已无法满足城市暴雨设计的需求,因此就要延长暴雨采样历时,推求出长历时(24h)暴雨强度公式。针对以上问题,根据北京市提供的52a(1961-2012)原始降雨资料并进行数字化处理,结合水利的长历时特点,采用兼顾市政排水,水利排涝,内涝防治的采样方法,应用P-Ⅲ分布曲线进行频率分析后采用6种经典方法推求暴雨强度公式的参数值,优选出误差最小且满足规范要求的暴雨强度公式参数值,进而推求长历时暴雨强度公式,在此基础上与短历时暴雨强度公式比较,分析两者的差异,为城市雨水排除规划设计提供科学依据和参考。