What Are the Best Practices to Promote High-Ranking Female Employees Within Organizations?

Companies still have a long way to go to ensure gender diversity especially in leadership positions. Recent research indicated that although entry-level men and women are hired at an increasingly equal rate, women often times reach a mid-career “the glass ceiling”. Our research investigated the best practices and drew insights on how to tackle the gender diversity challenge

When Developing a Career Path, What are the Key Elements to Include?

Question: When developing a career path from scratch, what are the key elements to include in the design process and what factors lead to a successful implementation

Productivity Growth and Ownership Change in China: 1998-2007

This paper studies the industry productivity dynamics in China’s manufacturing sector from 1998 to 2007, and in particular, explores to what extent the privatization of state-owned enter- prises (SOEs) contributes to the aggregate productivity growth. Our results show that, though non-SOEs on average are more productive than SOEs, the average productivity growth among SOEs is greater than their counterparts. Industry concentration, taxation, and credit market all account for this difference in growth between SOEs and non-SOEs. We find that industry productivity growth is mainly attributed to the growth of non-SOEs, entry of non-SOE firms, and the exit of SOEs. However, non-SOE firms that are transformed directly from SOEs make a small and negative contribution to industry productivity growth

What Are Best Practices to Promote High Ranking Female Employees?

Companies still have a long way to go to ensure gender diversity especially in leadership positions. Recent research indicated that although entry-level men and women are hired at an increasingly equal rate, women often times reach a mid-career “the glass ceiling”. Our research investigated the best practices and drew insights on how to tackle the gender diversity challenge

A Computational Framework for the Mixing Times in the QBD Processes with Infinitely-Many Levels

In this paper, we develop some matrix Poisson's equations satisfied by the mean and variance of the mixing time in an irreducible positive-recurrent discrete-time Markov chain with infinitely-many levels, and provide a computational framework for the solution to the matrix Poisson's equations by means of the UL-type of $RG$-factorization as well as the generalized inverses. In an important special case: the level-dependent QBD processes, we provide a detailed computation for the mean and variance of the mixing time. Based on this, we give new highlight on computation of the mixing time in the block-structured Markov chains with infinitely-many levels through the matrix-analytic method

Productivity growth and ownership change in China: 1998-2007

This paper studies the industry productivity dynamics in China’s manufacturing sector from 1998 to 2007, and in particular, explores to what extent the privatization of state-owned enterprises (SOEs) contributes to the aggregate productivity growth. Our results show that, though non-SOEs on average are more productive than SOEs, the average productivity growth among SOEs is greater than the privately-owned firms. Industry concentration, taxation, and credit market all account for this difference in growth between SOEs and non-SOEs. In addition, industry productivity growth is mainly attributed to the growth of non-SOEs, entry of non-SOE firms, and the exit of SOEs. However, non-SOE firms that are transformed directly from SOEs make a small but negative contribution to industry productivity growth.Productivity Growth, Industry Dynamics, Ownership Change, Reallocation

Productivity growth and ownership change in China: 1998-2007

This paper studies the industry productivity dynamics in China’s manufacturing sector from 1998 to 2007, and in particular, explores to what extent the privatization of state-owned enterprises (SOEs) contributes to the aggregate productivity growth. Our results show that, though non-SOEs on average are more productive than SOEs, the average productivity growth among SOEs is greater than the privately-owned firms. Industry concentration, taxation, and credit market all account for this difference in growth between SOEs and non-SOEs. In addition, industry productivity growth is mainly attributed to the growth of non-SOEs, entry of non-SOE firms, and the exit of SOEs. However, non-SOE firms that are transformed directly from SOEs make a small but negative contribution to industry productivity growth.Productivity Growth, Industry Dynamics, Ownership Change, Reallocation

Productivity Growth and Ownership Change in China: 1998-2007

This paper studies the industry productivity dynamics in China’s manufacturing sector from 1998 to 2007, and in particular, explores to what extent the privatization of state-owned enter- prises (SOEs) contributes to the aggregate productivity growth. Our results show that, though non-SOEs on average are more productive than SOEs, the average productivity growth among SOEs is greater than their counterparts. Industry concentration, taxation, and credit market all account for this difference in growth between SOEs and non-SOEs. We find that industry productivity growth is mainly attributed to the growth of non-SOEs, entry of non-SOE firms, and the exit of SOEs. However, non-SOE firms that are transformed directly from SOEs make a small and negative contribution to industry productivity growth.Productivity Growth, Industry Dynamics, Ownership Change, Reallocation

Time-dependent orientation coupling in equilibrium polymer melts

The motion in concentrated polymer systems is described by either the Rouse or the reptation model, which both assume that the relaxation of each polymer chain is independent of the surrounding chains. This, however, is in contradiction with several experiments. In this Letter, we propose a universal description of orientation coupling in polymer melts in terms of the time-dependent coupling parameter κ(t). We use molecular dynamics simulations to show that the coupling parameter increases with time, reaching about 50% at long times, independently of the chain length or blend composition. This leads to predictions of component dynamics in mixtures of different molecular weights from the knowledge of monodisperse dynamics for unentangled melts. Finally, we demonstrate that entanglements do not play a significant role in the observed coupling. © 2010 The American Physical Societ