The Innovation Performance of Irish and Foreign‐owned Firms: The Roles of R&D and Networking

This paper contributes to the growing evidence that Irish and foreign‐owned firms based in Ireland conduct their innovation activities differently from each other. It tests the Cohen and Levinthal hypothesis, separately for Irish and foreign‐owned firms, that undertaking R&D and collaborating with external networks together enhance the probability of product and process innovation. To control for potential endogeneity of the external networking variables, a two‐step procedure is used with predicted probabilities used as instruments in the estimated production functions. Based on data from the Irish Community Innovation Survey 2006 to 2008, the results suggest that Irish‐owned firms which engage in external networks with public knowledge sources, while simultaneously undertaking R&D, are more likely to innovate than firms which perform these two activities individually. Irish‐owned firms which engage in backward networking for product and forward networking for process innovation while also undertaking R&D are less likely to be innovative, perhaps suggesting a substitution effect. These results for Irish‐owned firms provide some support for Cohen and Levinthal's hypothesis. However, foreign‐owned firms seem to behave differently, being largely self‐contained and relying exclusively on intramural R&D for innovation as the external networking variables, both individually and when interacted with R&D, have no effect on innovation likelihood.     

A multinomial logit approach to exchange rate policy classification with an application to growth

We model a country's de jure exchange rate policy as the choice from a multinomial logit response conditioned on the volatility of its bilateral exchange rate, the volatility of its international reserves, and the volatility of its effective exchange rate. The category with the highest predictive probability implied by the logit regressions serves as our de facto exchange rate policy. An empirical investigation into the relationship between the de facto classifications and GDP growth finds that growth is higher under stable currency-value policies. For non-industrialized countries, a more nuanced characterization of exchange rate policy finds that those who exhibit ‘fear of floating’ experience significantly higher growth.     

The effects of the frequency of spatially proximate and distant interaction on innovation by Irish SMEs

This paper tests whether more frequent interaction at different spatial levels has a positive effect on the innovation performance of small- and medium-sized enterprises (SMEs) in the South-West and South-East of Ireland. Based on an original survey, it finds that more frequent interaction generally increases innovation likelihood, but at a diminishing rate, thus suggesting a trade-off between resources dedicated to transforming knowledge into new products and processes. Spatially distant interaction is found to be at least as valuable as proximate interaction, which questions the received wisdom that the best sources of knowledge are regional. Given the value of distant interaction, the results indicate that regional lock-in may be an obstacle to superior innovation performance of SMEs.     

Complexity and contradiction in NHS computing

The National Health Service (NHS) has entered a new world of managed competition, where the purchasing and provision of services are formally separated. Accompanying the changes are major investments in computer systems, which will continue for at least the first half of the 1990s. However, the performance of the NHS in implementing computer systems has been variable, so that now is an appropriate time to review the current status of NHS computing, and to consider the key issues for computing in the new environment.     

Technological change and agricultural household income distribution: theory and evidence from China

This article applies a general equilibrium model to analyse the impact of new rice technology on household income and uses agricultural household survey data from China to test the implications of this model. It is shown that, when a new rice technology becomes available, the adopting household will reallocate resources to increase rice production and reduce the production of other goods. Meanwhile, the non-adopting households will do the opposite. Thus, the income from rice becomes increasingly concentrated in the adopting households and income from non-rice becomes increasingly concentrated in the non-adopting households. If only one source of income is examined, the introduction of new rice technology increases the inequality of income distribution in rural areas. But, if the total household income is examined, the distributional inequality is mitigated.     

COMPARING FEDERAL AND PRIVATE‐SECTOR WAGES WITHOUT LOGS

I use Current Population Survey data from 2005 through 2010 to compare the wages of federal employees and workers in the private sector who have similar observable characteristics. The distribution of wages differed drastically between the federal and private sectors. In particular, I find that federal employees with no more than a high school diploma earned 21% more, on average, than their private‐sector counterparts, whereas those with a professional degree or doctorate earned 23% less. Overall, the average of federal wages was about 2% higher than the average wage of similar private‐sector workers. Other researchers have found larger differences because they used log‐linearized models, which result in comparisons of geometric means. I show that arithmetic means are more relevant in the context of the relationship between a government's compensation policy and its budget. The discrepancy between differences in arithmetic and geometric means occurs because the wages of federal employees were much less dispersed than those of employees with similar characteristics in the private sector. (JEL J31, J38, J45)     

A Few Bad Apples? Scandalous Behavior of Mutual Fund Managers

Recent scandals in the business world have intensified the demand for an explanation of the causes of corporate wrongdoing. This study empirically tests the effects of mutual fund management fees and control structures on the likelihood of illegal activity within mutual fund organizations. Specific attention is given to the presence of agency duality issues in the mutual fund industry and how this influences the motivations and decisions of fund managers. Findings provide support for the hypothesized relationship that higher levels of management fees decrease the likelihood of illegal behavior. Additionally, control of the mutual fund by external management is found to have a negative impact on the likelihood of illegal activity while also acting as a moderator of the management fee-illegal behavior relationship. Justin Davis is an Assistant Professor of Strategic Management at Ohio University and Doctoral Candidate at The University of Texas at Arlington. His primary research interests include firm-level entrepreneurship, agency issues in corporate governance, and venture capital investment. Dr. G. Tyge Payne is an Assistant Professor of Strategic Management in the Jerry S. Rawls College of Business at Texas Tech University. His primary research interests include organization-environment fit/misfit, firm-level and corporate enterpreneurship; dual agency issues, and interorganizational relationships. Dr. Gary C. McMahan is an Associate Professor of Management and Coordinator of the Ph.D. Program in Management at The University of Texas at Arlington. His research interests include the strategic role of human resources in organizations and corporate governance and ethics in financial services institutions. He has published over 40 articles, monographs, proceedings, and book chapters.     

Growth of industry clusters and innovation: Lessons from Beijing Zhongguancun Science Park

The success of technology parks in promoting technology transfer and attracting clusters of highly innovative firms has motivated countries from around the world in an attempt to promote regional development, including the People's Republic of China. Due to its similarities with other formerly planned economies undergoing transition towards market economies, the Chinese model of technology parks has been closely watched and emulated by other transitional economies. However, despite its economic significance, such development has been largely ignored in organizational research.In this study, I investigate a specific example of an industry cluster in China, the Beijing Zhongguancun (ZGC) Science Park, which has seen the largest cluster of semiconductor, computer, and telecommunication firms in China, consisting of both domestic and foreign invested firms. I examine the origin and growth of industry cluster in a traditionally heavily regulated economy and region, its role in promoting technology transfer and innovation, and challenges firms face in the future. I close by proposing some issues for future research.     

Strategic entrepreneurship: Creating competitive advantage through streams of innovation

In today's fast-paced competitive environment, firms face the need to be increasingly nimble and adaptive. While often able to establish a certain level of performance based upon existing technologies, firms are equally as often to be left flat-footed in the face of emerging, novel technologies. We discuss strategic entrepreneurship as the means through which firms simultaneously exploit their current competitive advantages while exploring for future opportunities. Achieving a balance between exploration and exploitation consists of more than merely allocating resources evenly between the two processes. As discussed, exploration and exploitation are operationally, structurally, and culturally distinct processes.