How Special is the Special Relationship? Using the Impact of U.S. R&D Spillovers on UK Firms as a Test of Technology Sourcing

Using panels of UK and U.S. firms matched to patent data, the authors show that UK firms who had established a high proportion of U.S.-based inventors by 1990 benefited disproportionately from the growth of the U.S. research and development (R&D) stock over the next 10 years.

How Special is the Special Relationship? Using the Impact of U.S. R&D Spillovers on UK Firms as a Test of Technology Sourcing

Using panels of UK and U.S. firms matched to patent data, the authors show that UK firms who had established a high proportion of U.S.-based inventors by 1990 benefited disproportionately from the growth of the U.S. research and development (R&D) stock over the next 10 years.

E-Supply Chain Management: Review, Implications and Directions for Future Research

The paper analyses the interaction of two topics that are a key area of concern for contemporary managers and researchers. These include supply chain management (SCM) and internet. The aim of the paper is to define e-SCM, analyze how research in this area has evolved during the period
1995-2003 and identify some lines of further research.

Domestic vs. International Spillovers: Evidence from
Swedish Firm Level Data

The paper investigates the association between total factor productivity growth and the research and development (R&D) expenditures of Swedish manufacturing firms in the presence of domestic- and international R&D spillovers. Results indicate that a catch-up process exists by which the non-frontier firms in the Swedish manufacturing sector absorb knowledge spillovers from the leading firms in the industry.

Who Participates in R&D Subsidy Programs? The Case of Spanish Manufacturing Firms

Using a sample of Spanish firms, the authors test for differences across agencies and industries in research and development subsidy programs. Results suggest that firms in the same industry face different hurdles to participate in different agencies programs, that participation patterns may reflect a combination of agency goals, and that patterns differ across high-tech and low-tech industries.