How market smarts can protect property rights

Intellectual property comprises an ever-increasing fraction of corporate wealth, but what's the good of that if an ever-increasing fraction of the property is copied or stolen? Faced with developing countries' limited and inadequately enforced patent and copyright laws, some companies are resorting to market-based strategies to protect their intellectual property. These include preempting or threatening competitors, embedding intellectual property in environments that can be protected, bundling insecure intellectual property with its more secure cousins, and actually entering the businesses that pose a threat. The authors urge companies coping with weak property rights to follow a decision tree when choosing which strategies to use and when: Start by thinking of the strategies that will protect your business's core. If, for example, a first-mover advantage is within reach, making yourself more committed to intellectual property could be the answer. If you and your rivals are equally matched, ask yourself, "Can those that threaten me with copying be copied in turn?" The knowledge that each of you can hurt the other may dampen the competitive intensity or even lead to voluntary sharing of property. If these solutions fail or don't apply, try forging a connection with a product or business closely related to your own. Doing so may prevent a valued asset from falling into a rival's hands or make the asset harder to misappropriate. This approach can even help you expand your piece of the market pie or reduce the cost of making the threatened product, perhaps to the point where you can compete against pirated goods. Finally, if there still doesn't seem to be a way of making money from your threatened product, you may choose to move into the very business that has hurt your own. Such strategies are behind the economics of successful companies like Intel and NBC, say the authors.     

Are IPOs Really Underpriced?

While IPOs have been underpriced by more than 10% during thepast two decades, we find that in a sample of more than 2,000IPOs from 1980 to 1997, the median IPO was significantly overvaluedat the offer price relative to valuations based on industrypeer price multiples. This overvaluation ranges from 14% to50% depending on the peer matching criteria. Cross-sectionalregressions show that "overvalued" IPOs provide high first-dayreturns, but low long-run risk-adjusted returns. These overvaluedIPOs have lower profitability, higher accruals, and higher analystgrowth forecasts than "undervalued" IPOs. Ex post, the projectedhigh growth of overvalued IPOs fails to materialize, while theirprofitability declines from pre-IPO levels. These results suggestIPO investors are deceived by optimistic growth forecasts andpay insufficient attention to profitability in valuing IPOs.     

Firm-supplier relations and managerial compensation

In this paper we examine customer firms’ managerial compensation policies when they have important supplier relations. We show that firms with greater reliance on their suppliers tend to offer higher total- and equity-based pay but lower risking-taking incentives to its top executives. Our results are consistent with the argument that suppliers making firm-specific investments are concerned about the customer firm’s prospects. Therefore, firms with important supplier relations use the compensation policies of their top executives (more equity-based and less risk-taking) to signal their commitment to a stable and promising performance in the future. To address endogeneity issues arising out of time-varying omitted variables, we exploit a 2SLS procedure to supplement our baseline OLS findings. Our results are robust alternate measures of suppliers’ relationship-specific investments and econometric models. Overall, our results indicate that some of the heterogeneity in managerial compensation can be attributed to characteristics of the firm’s supply-chain relations.     

Data envelopment analysis with stochastic variations in data

The mathematical programming-based technique data envelopment analysis (DEA) has often treated data as being deterministic. In response to the criticism that in most applications there is error and random noise in the data, a number of mathematically elegant solutions to incorporating stochastic variations in data have been proposed. In this paper, we propose a chance-constrained formulation of DEA that allows random variations in the data. We study properties of the ensuing efficiency measure using a small sample in which multiple inputs and a single output are correlated, and are the result of a stochastic process. We replicate the analysis using Monte Carlo simulations and conclude that using simulations provides a more flexible and computationally less cumbersome approach to studying the effects of noise in the data. We suggest that, in keeping with the tradition of DEA, the simulation approach allows users to explicitly consider different data generating processes and allows for greater flexibility in implementing DEA under stochastic variations in data.     

Nonparametric measures of efficiency in the presence of undesirable outputs: a by-production approach

In empirical research on productivity measurement adjusted for undesirable outputs on the side, the good and the bad outcomes are treated as joint products of the underlying production process. In the present paper, following Murty, Russell, and Levkoff, we conceptualize the good output as technologically separable from the bad output. Joint disposability is assumed between the bad output and the polluting input, rather than weak disposability and null jointness between the good and bad outputs. Moreover, we set up an integrated DEA optimization problem over the intersection of these two subtechnologies to measure the efficiency of a firm that produces a bad output alongside the good output. In an empirical illustration of our methodology, we use country-level data for an unbalanced panel of 64 countries over the years 1986 through 2011 where per capita GDP is the good and per capita \(\hbox {CO}_{2}\) emission is the bad output. We then utilize our DEA results to compute opportunity costs of a targeted reduction in \(\hbox {CO}_{2}\) emission in terms of required dollar amounts of reduction in per capita GDP for the individual countries in selected years.     

Exploring the nexus between urbanisation,inflation and tourism output: empirical evidences from the Fiji Islands

The main aim of this study is to investigate the relationship between urbanisation, inflation and tourism output of Fiji. This study used the Autoregressive Distributed Lag bounds test to examine the relationship between urbanisation, inflation and tourism output by using annual time series data for the period 1985–2015. This study has found that urbanisation, inflation and tourism output share a long-run relationship when urbanisation and inflation are used as the dependent variables. The results of this study confirm that in the long run, tourism output has a significant and positive impact on urbanisation. This implies that a 1% increase in tourism output will increase urbanisation by 0.000165%. In the short run, urbanisation and inflation do not affect the tourism output of Fiji. The findings from this study have implications for the policy-makers and practitioners. Policy-makers should play an essential role in expanding tourism activities in the rural areas. In Fiji, there is development disparity between the urban and rural areas. The government has to invest more financial resources in the development of tourism activities in the rural areas.     

A multilevel perspective on knowledge transfer: evidence from the Chinese automotive industry

We adopt a multilevel perspective to study the transfer of collective and individual knowledge. By making a clear theoretical distinction between collective and individual attributes in concepts such as knowledge, teaching approach, and absorptive capacity, this study extends the knowledge transfer literature and provides fresh insights into the ways in which collective and individual knowledge are transferred. Based on a survey of the capability transfer activities of 161 engineering units of multinationals in the Chinese automotive industry, we empirically validate the distinction between individual and collective teaching activities and absorptive capacity. More importantly, we find that the largely underexplored collective‐level mechanisms, such as collective teaching and collective absorptive capacity, are more effective in transferring both collective knowledge and individual knowledge in comparison to their individual‐based counterparts. Our findings also have important implications for management of multinationals and international joint ventures, particularly in emerging economies. Copyright © 2009 John Wiley & Sons, Ltd.     

An empirical study of e-government diffusion in Fiji: a holistic and integrative approach

Pacific Island countries (PICs) are facing certain unique challenges in e-government diffusion due to their geographic, cultural, social, and economic environments. However, very few rigorous empirical studies have been published about e-government diffusion issues in the region. To address the knowledge gap, we conducted a case study of Fiji. Drawing on Fountain’s technology enactment framework as a theoretical lens, we identified and investigated in a holistic and integrative way the major issues and challenges which influenced e-government diffusion and outcomes in Fiji. The study has significant implications both for research and practices not only in Fiji but also in the PICs.     

Knowledge complexity and the performance of inter‐unit knowledge replication structures

Research Summary: Intra‐firm replication of complex knowledge is difficult yet critical to firm growth and the exploitation of competitive advantage. Inter‐unit organizational structures can facilitate the replication of complex knowledge between a source unit and a recipient unit. This study examines how inter‐unit organizational structures perform at different levels of knowledge complexity. We dimensionalize the patterns of information‐processing interactions according to three specific factors: the degree of inter‐unit connectivity, the extent of mirroring between the structure and the knowledge configuration, and coordination mechanisms. Simulation analyses offer a set of novel findings on how the information‐processing and bounded‐rationality concerns of organizational design impact the replication performance of the structures. We derive optimal structures for different levels of knowledge complexity, and articulate their theoretical and practical implications. Managerial Summary: The growth of firms often involves redeployment of their complex knowledge to new subunits or markets, in the context of acquisitions, alliances, or the creation of multinational subsidiaries. Complex knowledge is difficult to imitate, and thus, serves as a source of competitive advantage. However, it is also challenging to replicate within a firm, which limits firms’ ability to redeploy their capabilities in pursuit of new opportunities. A proper design of inter‐unit structures can facilitate the replication of complex knowledge between intra‐firm units. This study examines how the design of inter‐unit structures affects the outcome of this replication. Our results suggest that managers in charge of redeployment efforts should be mindful of the connectivity among units, coordination mechanisms, information overload, and the level of knowledge complexity.