China's rapid economic growth is staggering but the country still has a long way to go before becoming a center for innovation and creativity. We examine whether or not transformational leadership can encourage employee creativity, using a Chinese-specific transformational leadership model. The...

This paper presents a unified simple correlation for estimating specific chemical exergy of solid and liquid fuels on dry basis. The specific chemical exergy of a dry fuel was split into two contributions: chemical of exergies of organic matter and inorganic matter, respectively. To estimate...

This paper studies the monopolist's dynamic pricing strategy when introducing successive generations of a durable product. We show that when consumers are semi-anonymous or exactly identified and the innovation is minor, the firm always offers an upgrade discount to former customers. However,...

The objective of this paper is to investigate the firm's optimal advertising and pricing strategies when introducing a new product. We extend the existing signaling literature on advertising spending and price by constructing a model in which advertising is used both to raise awareness about the...

Internship is a relatively low-risk approach for entrepreneurs to attract and select prospective employees. But what factors can influence interns' intentions to join small businesses? Based on the model of action phases, realistic job preview theory, and organizational justice theory, I...

There is tremendous scientific interest in the analysis of gene expression data in clinical settings, such as oncology. In this paper, we describe the importance of adjusting for confounders and other prognostic factors in order to select for differentially expressed genes for followup...

The use of microarray data has become quite commonplace in medical and scientific experiments. We focus here on microarray data generated from cancer studies. It is potentially important for the discovery of biomarkers to identify genes whose expression levels correlate with tumor progression....

In many scientific and medical settings, large-scale experiments are generating large quantities of data that lead to inferential problems involving multiple hypotheses. This has led to recent tremendous interest in statistical methods regarding the false discovery rate (FDR). Several authors...

High-throughput gene expression technologies such as microarrays have been utilized in a variety of scientific applications. Most of the work has been on assessing univariate associations between gene expression with clinical outcome (variable selection) or on developing classification...

There has been much work on developing statistical procedures for associating tumor size with the probability of detecting a metastasis. Recently, Ghosh (2004) developed a unified statistical framework in which equivalences with censored data structures and models for tumor size and metastasis...