Using the resource-based view of the firm, this article examines how different resources are used by small- and medium-sized enterprises (SMEs) in response to environmental uncertainty in an emerging market context. A survey was conducted involving 212 owners, CEOs, or managing directors of SMEs...

Using the resource-based view of the firm, this article examines how different resources are used by small- and medium-sized enterprises (SMEs) in response to environmental uncertainty in an emerging market context. A survey was conducted involving 212 owners, CEOs, or managing directors of SMEs...

Entrepreneurship is a crucial ingredient of economic growth and job creation. Small business start-ups are currently of great interest to many state and local governments including Indiana. With the growing need to stimulate small business development, it is necessary to understand the obstacles...

Using a sample from an original questionnaire survey in Japan, this paper explores whether and how founders’ human capital affects innovation outcomes by start-ups. The results provide evidence that founders with greater human capital are more likely to yield innovation outcome. However,...

This paper explores research and development (R&D) financing of start-up firms. Using a sample from an original survey conducted in 2008, we identify whether initial funds and founder-specific characteristics relate to R&D investment of start-up firms in Japan. It is found that internal finance...

Business start-ups are expected to make major contributions to economic growth. However, most of them lack internal business resources that are necessary for survival and growth. Therefore, business and financial networks that provide business opportunity and external resources are essential for...

In credit default prediction models, the need to deal with time-varying covariates often arises. For instance, in the context of corporate default prediction a typical approach is to estimate a hazard model by regressing the hazard rate on time-varying covariates like balance sheet or stock...

In credit default prediction models, the need to deal with time-varying covariates often arises. For instance, in the context of corporate default prediction a typical approach is to estimate a hazard model by regressing the hazard rate on time-varying covariates like balance sheet or stock...

In credit default prediction models, the need to deal with time-varying covariates often arises. For instance, in the context of corporate default prediction a typical approach is to estimate a hazard model by regressing the hazard rate on time-varying covariates like balance sheet or stock...

We apply computational linguistic text mining (TM) analysis to extract and quantify relevant Chinese financial news in an attempt to further develop the classical early warning models of financial distress. Extending the work of Demers and Vega (2011), we propose a measure of the degree of...