TYING IN TWO‐SIDED MARKETS WITH MULTI‐HOMING*

This paper analyzes the effects of tying on market competition and social welfare in two‐sided markets when economic agents can engage in multi‐homing by participating in multiple platforms to reap maximal network benefits. The model shows that tying induces more consumers to multi‐home and makes platform‐specific exclusive content available to more consumers, which is beneficial to content providers. As a result, tying can be welfare‐enhancing if multi‐homing is allowed, even in cases where its welfare impacts are negative in the absence of multi‐homing. The analysis thus can have important implications for recent antitrust cases in industries where multi‐homing is prevalent.     

QUANTIFYING MARKET POWER IN THE GERMAN WHOLESALE ELECTRICITY MARKET USING A DYNAMIC MULTI‐REGIONAL DISPATCH MODEL*

This paper quantifies the degree of market power in the German wholesale electricity market. A dispatch model simulates competitive marginal costs. In addition to common input factors like plant capacities, fuel prices and load structures, the model also incorporates international power exchange and dynamic effects like start‐up costs and hydro storage plant dispatch. The simulated prices are subsequently used as a benchmark for observed electricity prices. The analysis reveals significant market power in the German electricity market, mainly exhibited during peak periods. Producer surplus is also increased significantly due to strategic behavior.     

Creating University Spin‐Offs: A Science‐Based Design Perspective*

Academic entrepreneurship by means of university spin‐offs commercializes technological breakthroughs, which may otherwise remain unexploited. However, many universities face difficulties in creating spin‐offs. This article adopts a science‐based design approach to connect scholarly research with the pragmatics of effectively creating university spin‐offs. This approach serves to link the practice of university spin‐off creation, via design principles, to the scholarly knowledge in this area. As such, science‐based design promotes the interplay between emergent and deliberate design processes. This framework is used to develop a set of design principles that are practice based as well as grounded in the existing body of research on university spin‐offs. A case‐study of spin‐off creation at a Dutch university illustrates the interplay between initial processes characterized by emergent design and the subsequent process that was more deliberate in nature. This case study also suggests there are two fundamentally different phases in building capacity for university spin‐off creation. First, an infrastructure for spin‐off creation (including a collaborative network of investors, managers and advisors) is developed that then enables support activities to individual spin‐off ventures. This study concludes that to build and increase capacity for creating spin‐offs, universities should do the following: (1) create university‐wide awareness of entrepreneurship opportunities, stimulate the development of entrepreneurial ideas, and subsequently screen entrepreneurs and ideas by programs targeted at students and academic staff; (2) support start‐up teams in composing and learning the right mix of venturing skills and knowledge by providing access to advice, coaching, and training; (3) help starters in obtaining access to resources and developing their social capital by creating a collaborative network organization of investors, managers, and advisors; (4) set clear and supportive rules and procedures that regulate the university spin‐off process, enhance fair treatment of involved parties, and separate spin‐off processes from academic research and teaching; and (5) shape a university culture that reinforces academic entrepreneurship by creating norms and exemplars that motivate entrepreneurial behavior. These and other results of this study illustrate how science‐based design can connect scholarly research to the pragmatics of actually creating spin‐offs in academic institutions.     

A NEW APPROACH TO DEPRECIATION MEASUREMENT FOR PUBLIC UTILITIES: COMMENT

This paper examines the use of a simple heuristic for evaluating projects. We posit that ranking projects by IRR and rejecting marginal projects can be superior to a NPV rule if 1) project managers have incentives to overstate cash flow forecasts that occur late in a project's life, 2) project rankings determine project acceptance because not all positive NPV project's are accepted, and 3) a project's IRR is greater than the WACC. In these instances, the IRR heuristic undervalues distant cash flows and thus, reduces project managers' incentives to positively bias forecasts.     

MEASURING THE TRUE HARM FROM PRICE‐FIXING TO BOTH DIRECT AND INDIRECT PURCHASERS*

Legal actions by direct and indirect purchasers to recover damages from price‐fixing, common in the United States for years, are now appearing in a number of other countries. Traditional measures of damages are flawed as measures of the true harm suffered and will often significantly understate that true harm. This paper provides measures of the degree of understatement of the true harm when traditional approaches are used and shows how the size of the error depends on the degree of competitiveness of downstream markets. The paper also provides measures of distribution of the true harm between direct and indirect purchasers.     

PRODUCT IMPROVEMENT AND TECHNOLOGICAL TYING IN A WINNER‐TAKE‐ALL MARKET*

In a winner‐take‐all duopoly for systems in which firms invest to improve their products, a vertically integrated monopoly supplier of an essential system component may have an incentive to advantage itself by technological tying. If the vertically integrated firm is prevented from technologically tying, there is an equilibrium in which the more efficient firm invests and serves the entire market. However, another equilibrium may exist in which the less efficient firm wins the market. Technological tying enables a vertically integrated firm to foreclose its rival. The welfare implications of technological tying are ambiguous and depend on equilibrium selection.     

LEARNING‐BY‐DOING AND MARKET STRUCTURE*

Applying the Olley‐Pakes estimation technique to an augmented production function, we estimate rates of learning‐by‐doing in over 250 SIC4 industries in the U.S. manufacturing sector. We then examine the link between learning and producer concentration using Sutton's bounds approach. We find that the lower bound of concentration is higher in high‐learning industries, which suggests that learning‐by‐doing has characteristics of an endogenous sunk cost.     

ENDOGENOUS COSTS AND PRICE‐COST MARGINS: AN APPLICATION TO THE EUROPEAN AIRLINE INDUSTRY*

This paper allows for endogenous costs in the estimation of price cost margins. In particular, we estimate price‐cost margins when firms bargain over wages. We extent the standard two‐equation set‐up (demand and first‐order condition in the product market) to include a third equation, which is derived from bargaining over wages. In this way, price‐cost margins are determined by wages and vice versa. We implement the model using data for eight European airlines from 1976–1994, and show that the treatment of endogenous costs has important implications for the measurement of price‐cost margins and the assessment of market power. Our main result is that observed prices in Europe are virtually identical to monopoly prices, even though observed margins are consistent with Nash behavior. Apparently, costs had been inflated to the point that the European consumers were faced with a de facto monopoly prices.     

OPTIMAL AUCTIONS WHEN A SELLER IS BOUND TO SELL TO COLLUSIVE BIDDERS*

I consider optimal auctions for a seller who is bound to sell a single item to one of two potential buyers, organized in a ‘well‐coordinated’ cartel. I show that, even though the seller cannot deter collusion, he can optimally accommodate it by employing a simple mechanism which imposes an inefficient allocation on the bidders unless they pay a sufficiently high amount to avoid it.     

POST‐MERGER PRODUCT REPOSITIONING*

This paper analyzes the effects of mergers between firms competing by simultaneously choosing price and location. Products combined by a merger are repositioned away from each other to reduce cannibalization, and non‐merging substitutes are, in response, repositioned between the merged products. This repositioning greatly reduces the merged firm's incentive to raise prices and thus substantially mitigates the anticompetitive effects of the merger. Computation of, and selection among, equilibria is done with a novel technique known as the stochastic response dynamic, which does not require the computation of first‐order conditions.     

ESTIMATING MARK‐UPS FROM PLANT‐LEVEL DATA*

Typical plant‐level data sets do not report quantities. This paper shows that estimating mark‐ups (price‐cost ratio) in product‐differentiated industries using deflated sales to proxy quantity is not appropriate due to unobserved price heterogeneity. This paper presents an econometric model for estimating mark‐ups that controls for unobserved prices. The model shows that ignoring price heterogeneity results in mark‐up estimates that converge to one, whatever the value of the true price‐cost ratio. Estimates obtained using real data are consistent with this result, as they reveal that ignoring price heterogeneity leads to spurious evidence of firms with little or no market power.     

Success Factors in New Ventures: A Meta‐analysis*

Technology entrepreneurship is key to economic development. New technology ventures (NTVs) can have positive effects on employment and could rejuvenate industries with disruptive technologies. However, NTVs have a limited survival rate. In our most recent empirical study of 11,259 NTVs established between 1991 and 2000 in the United States, we found that after four years only 36 percent, or 4,062, of companies with more than five full‐time employees, had survived. After five years, the survival rate fell to 21.9 percent, leaving only 2,471 firms still in operation with more than five full‐time employees. Thus, it is important to examine how new technology ventures can better survive. In the academic literature, a number of studies focus on success factors for NTVs. Unfortunately, empirical results are often controversial and fragmented. To get a more integrated picture of what factors lead to the success or failure of new technology ventures, we conducted a meta‐analysis to examine the success factors in NTVs. We culled the academic literature to collect data from existing empirical studies. Using Pearson correlations as effect size statistics, we conducted a meta‐analysis to analyze the findings of 31 studies and identified the 24 most widely researched success factors for NTVs. After correcting for artifacts and sample size effects, we found that among the 24 possible success factors identified in the literature, 8 are homogeneous significant success factors for NTVs (i.e., they are homogeneous positive significant metafactors that are correlated to venture performance): (1) supply chain integration; (2) market scope; (3) firm age; (4) size of founding team; (5) financial resources; (6) founders' marketing experience; (7) founders' industry experience; and (8) existence of patent protection. Of the original 24 success factors, 5 were not significant: (1) founders' research and development (R&D) experience; (2) founders' experience with start‐ups; (3) environmental dynamism; (4) environmental heterogeneity; and (5) competition intensity. The remaining 11 success factors are heterogeneous. For those heterogeneous success factors, we conducted a moderator analysis. Of this set, three appeared to be success factors, and two were failure factors for subgroups within the NTVs' population. To facilitate the development of a body of knowledge in technology entrepreneurship, this study also identifies high‐quality measurement scales for future research. The article concludes with future research directions.     

THE EFFECT OF GROUP SIZE AND ASYMMETRIES ON THE INCENTIVE TO REVEAL GROUP‐SPECIFIC INFORMATION*

In this paper, I examine how firms' incentives to differentiate their products through the revelation of truthful information about product attributes varies with the distribution of consumer preferences for those attributes. I show that information will tend to be provided for large groups, even absent scale economies in producing that information. In addition, the relative sizes of the groups whose estimates of product quality change positively vs. negatively (i.e., the degree of asymmetry) by the information is likewise an important determinant of its profitability.     

Learning from Postproject Reviews: A Cross‐Case Analysis*

Every new product development (NPD) project should not only deliver a successful new product but also should generate learning for the organization. Postproject reviews (PPRs) are recognized by both practitioners and academics as an appropriate mechanism to stimulate and capture learning in NPD teams. However, relatively few companies use PPRs, and those that do use them often fail to do so effectively. Although they are widely perceived to be a useful tool, empirical research on how PPRs are typically organized and the learning that results is limited. The present article addresses this gap in the extant knowledge and describes five in‐depth case studies, which were conducted at leading companies in Germany. A detailed investigation was made of how PPRs are conducted and of the type of learning that can result. Three main sources of data were used for each case: company documentation, in‐depth interviews with managers responsible for NPD, and observation of an actual PPR. The different data sources enabled extensive triangulation of data to be conducted and a high degree of reliability and validity to be achieved. The analysis enabled a number of key characteristics of the way PPRs are managed to be identified. Various characteristics of PPRs influence their utility, such as the time at which they take place and the way discussions are moderated. In addition, the data show that participants in the discussions at PPRs often use metaphors and stories, which indicates that PPRs have the potential to generate tacit knowledge. Interestingly, the data also show that there are various different ways in which metaphors and stories appear to stimulate discussions on NPD projects. Based on the cross‐case analysis, a wide range of implications are identified. Researchers need to investigate PPRs further to identify how they can generate tacit and explicit knowledge and support project‐to‐project learning. The generation of tacit knowledge in NPD is a topic that particularly needs further investigation. The research also led to a range of recommendations for practitioners. Companies need to strongly communicate the purpose and value of PPRs, to run them effectively to stimulate the maximum possible learning, and to disseminate the findings widely. PPRs have the potential to create and transfer knowledge amongst NPD professionals, but, as they are seldom currently used, many companies are missing an important opportunity.