Domain‐Relevant Commitment and Individual Technical Innovation Performance

Individual innovators play a critical organizational role in that they generate and often champion technology and product ideas. Amidst an ongoing stream of organizational and team innovation research, few empirical studies focus on differences in individual innovation performance despite the importance of the individual innovator to a firm's innovation efforts. Based on goal commitment theory, we introduce a new domain‐relevant commitment construct and develop a conceptualization of conditional indirect effects. Our model suggests that relevant individual abilities enhance commitment to technical innovation and innovation performance while also insulating against the impact of situational variables, making employees' commitment to innovation performance less dependent upon context. Hypotheses are tested using two sources of data and a sample of 339 R&D professionals from a Fortune 100 industrial firm. Results suggest that commitment to innovation is a key motivational factor in explaining individual technical innovation performance. Situational characteristics impact motivation differently for individuals with lower vs. higher ability levels, even in this context in which truly low‐ability individuals, in the absolute sense, have been screened out by the employment selection process. The relationship between commitment and innovation performance is strengthened by higher levels of individual ability.     

Insurance Portfolio Risk Retention

In this article, I introduce a statistic for managing a portfolio of insurance risks. This tool is based on changes in the risk profile when changes in a risk parameter, such as a deductible, coinsurance, or upper policy limit, are made. I refer to the new statistic as a risk measure relative marginal change and denote it as RM². By examining data from the Wisconsin Local Government Property Fund, I show how it can be used by an insurer to identify the “best” and “worst” risks in terms of opportunities for risk management. The RM² changes reflect the underlying dependence structure of risks; I use an elliptical copula framework to demonstrate the sensitivity of risk mitigation strategy to the dependence structure.