Learning Capability,Technological Parity,and Innovation Mode Use*

The purpose of this research was to examine whether a firm's learning capability interacts with industry technological parity to predict innovation mode use. Learning capability is conceptualized in the current research as a firm's ability to develop or acquire the new knowledge‐based resources and skills needed to offer new products. Industry technological parity is conceptualized as the extent to which similarity and equality exist among the technological competencies of the firms in an industry. Three generic modes of innovation are considered: internal, cooperative, and external innovation. These modes reflect the development of new products based solely on internal resources, the collaborative development of new products (i.e., with one or more development partners), and the acquisition of fully developed products from external sources, respectively. The premises of this research are that (1) technological parity can create incentives or disincentives for innovating in a particular mode, depending upon the value of external innovative resources relative to the value of internal innovative resources and (2) firms will choose innovation modes that reflect a combination of their abilities and incentives to innovate alone, with others, or through others. Survey research and secondary sources were used to collect data from 119 high‐technology firms. Results indicate that firms exhibit greater use of internal and external innovation when high levels of industry technological parity are matched by high levels of firm learning capability. By contrast, a negative relationship between learning capability and industry technological parity is associated with greater use of the cooperative mode of innovation. Thus, a single, common internal capability—learning capability—interacts with the level of technological parity in the environment to significantly predict three distinct innovation modes—modes that are not inherently dependent upon one another. As such, a firm's internal ability to innovate, as reflected in learning capability, has relevance well beyond that firm's likely internal innovation output. It also predicts the firm's likely use of cooperative and external innovation when considered in light of the level of industry technological parity. A practical implication of these findings is that companies with modest learning capabilities are not inherently precluded from innovating. Rather, they can innovate through modes for which conditions in their current environments do not constitute significant obstacles to innovation output. In particular, modest learning capabilities are associated with higher innovative output in the internal, cooperative, and external modes when industry technological parity levels are low, high, and low, respectively. Conversely, strong learning capabilities tend to be associated with higher innovative output in the internal, cooperative, and external modes when industry technological parity levels are high, low, and high, respectively.     

Information Flow Analysis and the Theory of the Firm

In this paper, I examine the role the firm plays in economizing on information flows that are required to turn raw materials and ideas into products and services used by final consumers. Specifically, I argue that scale economies associated with complex information transfers are an important benefit of integration. This argument is distinct from theories that are based on incentives and leads to different or more refined conclusions in some cases. The differences are explored in the context of literature on specific assets, vertically related monopolies, and physical asset ownership. Information flow analysis also arms managers with a framework for addressing organizational questions beyond firm‐boundary decisions such as intrafirm decisions. Copyright © 2014 John Wiley & Sons, Ltd.     

Accounting measures of unfunded pension liabilities and the expected present value of future pension cash flows

The associations between three alternative measures of the unfunded pension obligation discussed in the accounting literature and a measure that reflects the present value of expected cash flows (economic liability) are examined in this study using simulated data. The sensitivity of the correlations to funding methods, growth rates of the plan population, interest rates, plan initiation dates, and extent of sweetening are also studied. It is shown that all the accounting measures of the pension obligation are highly correlated with the total economic liability when funding is excluded, but the correlations decrease significantly when the net (unfunded) liability is examined. Furthermore, it is shown analytically that one cannot predict ex ante which measure of the unfunded liability will be most highly correlated with the economic liability. The implication for accounting standard-setting bodies is that both the pension plan assets and pension obligations should be disclosed to facilitate users in making predictions about changes in the economic liability. A recent official pronouncement, SFAS 87, provides for such disclosure in most circumstances.     

Consumer demographics and reaction to product tampering

With product tampering becoming a more common phenomenon, the impact on consumer psychology will possibly become a major factor in consumer reaction to packaged products; consumer attitudes, as well as actions may change accordingly. This article reports on a study that examined how different demographic groups reacted to tampering. The results indicate there are some differences in the groups, especially in terms of age and education. The findings seem to point to some underlying factors that may have an effect on consumer reaction to the problem.     

Health Effects of Air Pollution: A Statistical Review

We critically review and compare epidemiological designs and statistical approaches to estimate associations between air pollution and health. More specifically, we aim to address the following questions:

• 1 Which epidemiological designs and statistical methods are available to estimate associations between air pollution and health?
• 2 What are the recent methodological advances in the estimation of the health effects of air pollution in time series studies?
• 3 What are the the main methodological challenges and future research opportunities relevant to regulatory policy?

In question 1, we identify strengths and limitations of time series, cohort, case‐crossover and panel sampling designs. In question 2, we focus on time series studies and we review statistical methods for: 1) combining information across multiple locations to estimate overall air pollution effects; 2) estimating the health effects of air pollution taking into account of model uncertainties; 3) investigating the consequences of exposure measurement error in the estimation of the health effects of air pollution; and 4) estimating air pollution‐health exposure‐response curves. Here, we also discuss the extent to which these statistical contributions have addressed key substantive questions. In question 3, within a set of policy‐relevant‐questions, we identify research opportunities and point out current data limitations.     

The Impact of Placing Adolescent Males into Foster Care on Education,Income Assistance,and Convictions

Understanding the causal impacts of taking at‐risk youth into government care is part of the evidence base for policy. Two sources of exogenous variation affecting alternative subsets of the at‐risk population provide causal impacts interpreted as local average treatment effects. Placing 16‐ to18‐year‐old males into care decreases or delays high school graduation, increases income assistance receipt, and has alternative effects on criminal convictions depending upon the instrument employed. This suggests that asking whether more or fewer children should be taken into care is insufficient; it also matters which, and how, children are taken into care.     

Is it Efficient to Impose Costs on Small-Volume Equity Traders?

A securities market that imposes higher trading costs on small-volume traders may reduce free-riding on information generated by large-volume traders. The reduction in free-riding increases the probability that large-volume traders will invest in socially beneficial information and engage in costly monitoring of managers of firms in their portfolio.V arious mechanisms can be used to impose costs on small-volume traders.We argue that Nasdaq's former treatment of limit orders was one such mechanism. Depending on the market's structure and the nature of the securities traded in the market, a reduction in freeriding activity may improve overall market efficiency despite a potentially negative impact on information dissemination.     

An Investigation of Entrepreneurial Orientation,Perceived Environmental Hostility,and Strategy Application among Chinese SMEs

Little is known about how Chinese small and medium‐sized enterprises (SMEs) respond to their competitive environment. We predict that when industry competition is intense, entrepreneurial Chinese SMEs tend to perceive more environmental hostility than do their nonentrepreneurial peers. The perceived environmental hostility further drives these firms to choose marketing strategies but not cost control or innovation strategies. Data from 170 Chinese SMEs confirm our hypotheses, indicating that though some entrepreneurial orientation (EO) effects transcend different economy types, other EO effects differ significantly as the environment changes.