Inter-firm Collaboration and Learning: The Case of the Japanese Automobile Industry

This paper investigates the effect of intra-firm Research and Development expenditure and inter-firm collaboration on firm performance. It is proposed that R&D expenditures enable a company to improve knowledge and assimilate the exchange of information within non-routine collaboration activities. The hypotheses are tested by an empirical study on inter-firm technical collaboration in Japanese Automobile firms during the years 1975–1995, using the method of first-order auto-regression on a panel data set. The findings indicate that R&D expenditure increases performance, but do not allow clear conclusions on the effects of collaborations.     

A multiple dispatch and partial backup hypercube queuing model to analyze emergency medical systems on highways

The hypercube is a spatially distributed queuing model based on Markovian analysis approximations, used to analyze the configuration and operation of server-to-customer emergency systems. In the present study we adapted the model to analyze emergency medical systems (EMS) on highways, which operate within particular dispatching policies. The study takes into consideration that: the emergency calls are of different types; the servers are distinct (e.g., rescue ambulances, medical vehicles); only certain servers in the system can service calls in a given region (partial backup); and, depending on the type of call, one or more identical or distinct servers are immediately dispatched to service such calls (multiple dispatch). We also consider that the arriving calls take place either along the highway or at the home location of a server – in which case the server does not need to travel to the call location. Finally, we analyzed the computational results of applying such an approach to the case study of an EMS operating on Brazilian highways.     

On-duty and Off-duty: Employee Right to Privacy and Employer’s Right to Control in the Private Sector

The changing legal landscape of the right of the employer to control and monitor employee behavior is examined. Two distinct areas are defined: behavioral monitoring and behavioral restrictions. Relevant statutory laws and the developing common law are discussed. We also examine potential employee reactions to such policies by evaluating the reactions of graduate students to six employer policies including weight restrictions, grooming requirements, use of GPS locators, drug testing, ban on off-duty smoking, and email and internet monitoring. Students responded to these policies by determining the reasonable interest of the employer in the behaviors being monitored or controlled and the manner in which policies were implemented. Their comments suggest that employees may accept some level of monitoring or behavioral restrictions if the employer can make a convincing social account of the need for a policy. Additionally, the policy must be clearly communicated and properly implemented. However, restrictions on off-duty behavior were typically poorly received with the exception of illegal drug use.     

Consumption effects of genetic modification: what if consumers are right?⋆

This paper develops a model of differentiated consumers to examine the consumption effects of genetic modification (GM) under alternative labelling regimes and segregation enforcement scenarios. Analytical results show that if consumers perceive GM products as being different than their traditional counterparts, GM affects consumer welfare and, thus, consumption decisions. When the existence of market imperfections in one or more stages of the supply chain prevents the transmission of cost savings associated with the new technology to consumers, GM results in welfare losses for consumers. The analysis shows that the relative welfare ranking of the ‘no labelling’ and ‘mandatory labelling’ regimes depends on: (i) the level of consumer aversion to GM products; (ii) the size of marketing and segregation costs under mandatory labelling; (iii) the share of the GM product in total production; and (iv) the extent to which GM products are incorrectly labelled as non‐GM products.