Impact of subsidiaries' cross-border knowledge tacitness shared and social capital on MNCs' explorative and exploitative innovation capability

As subsidiaries' cross-border knowledge increases in tacitness, it becomes more difficult for subsidiaries to articulate and for multinational corporations' (MNCs') headquarters to integrate and apply. Herein, dynamic capabilities and social capital theory frame structural and relational social capital as capabilities that improve the productivity of subsidiaries' cross-border knowledge tacitness shared on MNCs' headquarters explorative and exploitative innovation capability. The hypotheses are tested on a data set consisting of survey data collected from 220 senior managers or executives at the headquarters of Taiwan-based MNCs. Interestingly, structural social capital between headquarters and subsidiaries strengthens the negative association between subsidiaries' cross-border knowledge tacitness shared and explorative innovation capability; relational social capital attenuates the negative association between subsidiaries' cross-border knowledge tacitness shared and both explorative and exploitative innovation capability. Stated differently, different types of social capital can facilitate (i.e., relational social capital) or impede (i.e., structural social capital) innovation capability when cross-border knowledge tacitness is high. The validity and managerial implications of these findings are explored through interviews with senior managers or executives of MNCs headquarters or subsidiaries. Theoretically, this study emphasizes the importance of understanding relationships between subsidiaries and MNCs' headquarters to understand the association between subsidiaries' resources and MNCs' headquarters innovation capability.     

Associations Between Early Life Stress, Child Maltreatment, and Pubertal Development Among Girls in Foster Care

The present study investigated pubertal development in girls with maltreatment histories (N = 100), assessed at four time points over 2 years beginning in the spring of their final year of elementary school. This sample is unique, in that participants were subject to an unusual level of environmental risk early in life and resided in foster care at the start of the study. Analyses replicated the previously established association between sexual abuse and earlier onset of maturation and earlier age at menarche. Physical abuse was related to a more rapid tempo of pubertal development across the period assessed. These results strengthen previous investigations of childhood maltreatment and puberty, highlighting the complexity and specificity of early life experiences for later development.     

Youth earnings and labour market volatility in Europe

The authors provide new evidence on youth earnings and labour market volatility, including flows into and out of employment, across Europe during the Great Recession. EU‐SILC data for the period 2004–13 reveal large disparities in volatility levels and trends across European countries. As expected, the Great Recession increased youth labour market volatility, offsetting the trends observed over the previous years of economic prosperity. A variance decomposition exercise points to greater exposure to worker turnover in southern Europe. Fixed effects regression on labour market institutions relates higher unemployment benefits and more stringent employment protection legislation to lower earnings and labour market volatility.     

Testing goodness of fit via nonparametric function estimation techniques

An overview is given of methodology for testing goodness of fit of parametric models using nonparametric function estimation techniques. The ideas are illustrated in two settings: the classical one-sample goodness-of-fit scenario and testing the goodness of fit of a polynomial regression model.     

Maximum likelihood estimators of the location and scale parameters of the exponential distribution from a censored sample

In this note explicit expressions are given for the maximum likelihood estimators of the parameters of the two-parameter exponential distribution, when a doubly censored sample is available.     

Culture,the Public Sphere,and Media Sociology: A Search for a Classical Founder in the Work of Robert Park

This article examines the history of media sociology in the U.S., through a critical analysis of articles published in the major sociology journals during the twentieth century. I argue that media sociology has been at its most vibrant when its goal has been to understand the dominant cultural structures that shape the public sphere. Robert Park was the first sociologist to adopt this perspective, with his research on newspapers and the power of the press. This interest continued into the 1950s, with research on media and propaganda. By the 1960s, however, concern had shifted away from the public character of media, focusing instead on the ways in which social factors intervened between media messages and society. While important, this shift in analytical focus ultimately led to a more reductionist media sociology, which failed to explore how media provided a distinctive type of social output. There is evidence that a less reductionist media sociology has begun to emerge since the 1990s, with the rise of cultural sociology and theories of the public sphere. This new media sociology could increase its visibility within mainstream sociology by making more explicit connections to the Chicago School tradition, and by claiming Robert Park as its classical founder.     

A class of dynamic piecewise exponential models with random time grid

A novel fully Bayesian approach for modeling survival data with explanatory variables using the Piecewise Exponential Model (PEM) with random time grid is proposed. We consider a class of correlated Gamma prior distributions for the failure rates. Such prior specification is obtained via the dynamic generalized modeling approach jointly with a random time grid for the PEM. A product distribution is considered for modeling the prior uncertainty about the random time grid, turning possible the use of the structure of the Product Partition Model (PPM) to handle the problem. A unifying notation for the construction of the likelihood function of the PEM, suitable for both static and dynamic modeling approaches, is considered. Procedures to evaluate the performance of the proposed model are provided. Two case studies are presented in order to exemplify the methodology. For comparison purposes, the data sets are also fitted using the dynamic model with fixed time grid established in the literature. The results show the superiority of the proposed model.