Learning patterns in early stage R&D projects: empirical evidence from the fibre raw material technology project in the Netherlands

Past research has reported that learning processes in early stage R&D are either chaotic, or absent. We challenge this finding by elaborating Van de Ven et al.’s trial‐and‐error learning model and explore an alternative conceptualization. We explored the combinations of positive and negative outcomes and action course continuation and modification. We use data gathered in an R&D setting of a 4‐years pre‐competitive knowledge generation project in the Dutch paper and board industry. Whereas the Van de Ven and Polley (1992) approach applied on our data also would lead us to conclude that ‘no learning’ would happen, our decomposed model identified three distinct learning patterns: (1) a virtuous pattern of positive outcomes resulting in continuations of action courses; (2) a vacuous pattern of negative outcomes resulting in modifications of action courses; and (3) a verification pattern of positive outcomes resulting in modifications of action courses. We observed the virtuous and verification patterns during the first 2 years and virtuous and vacuous learning in the second 2 years. These results might be useful for R&D managers since they provide insight into how an early stage R&D project can develop and where managers might intervene and adjust action courses.     

Does data matter? Statewide longitudinal data systems and student performance in the U.S.

Although many industries have benefited from advances in data-driven technology, education is making small steps in capitalizing on the huge potential of data systems. Since 2005, the U.S. Federal Government has been making large grants to help states build statewide longitudinal data systems (SLDS) with the goal of improving programme and teacher evaluation and engage in data-driven decision-making. We analyse whether the introduction of SLDSs improved student performance, measured using test scores for math and reading tests for 4th and 8th graders, as well as high school graduation rates. We find no effects of SLDSs on student performance up to 10 years from implementation. However, we find suggestive evidence that these systems may have long-run effects, emphasizing the long-run nature of educational data collection and policy analysis.     

Will FinTech make regional banks superfluous for small firm finance? Observations from soft information-based lending in Germany

Regional banks have a competitive advantage in that short distances to clients enable the use of soft information for superior lending decisions. If the ambition of FinTech start-ups to create superior screening and monitoring technologies materialises, this advantage would be diminished and regional banks would become superfluous for small firm finance. To explore this claim, the paper in hand analyses qualitative empirical data about the lending processes and rating system use of regional German savings banks. In essence, the results from participant observation and interviews clarify the importance of “real” soft information for critical lending decisions. The context specificity and limited verifiability of “real” soft information hamper it from being hardened through the use of rating systems and other bank-ICT. Though FinTech's scoring technologies may overcome the first limitation, it appears likely that in the course of scoring development “real” soft information will be systematically crowded out due to the manipulation problem. The paper expects improved access to finance for SMEs if FinTech solutions overcome both limitations of “real” soft information use, or if peer-to-peer lending and regional banks coexist. Deteriorated access to finance is expected if FinTech companies displace the relationship banking of regional banks due to enhanced competition, without preserving the advantages of “real” soft information with superior screening and monitoring technologies. The paper concludes with recommendations on how to prevent deteriorated access to finance for small firms by promoting fair competition and FinTech innovations.     

Platform Competition With Cash-Back Rebates Under No Surcharge Rules

We analyze competing strategic platforms setting fees to a local monopolist merchant and cash-back rebates to end users, when the merchant may not surcharge platforms’ customers, a rule imposed by some credit card networks. Each platform has an incentive to gain transactions by increasing the spread between its merchant fee and user rebate above its rival's spread. This incentive yields non-existence of a pure strategy equilibrium in many natural environments. In some circumstances, a mixed strategy equilibrium exists where platforms choose fee structures that induce merchants to accept only one platform with equal probability, a form of monopolistic market allocation.     

The Roles of Sustainability Orientation and Market Knowledge Competence in New Product Development Success

Firms’ sustainability orientation (SO) is widely understood as a strategic resource, which can lead to competitive advantage and superior (financial) performance. While recent empirical evidence suggests a moderate and positive relationship between SO and financial performance on a corporate level, little is understood about the influence of SO on new product development (NPD) success. Building on the natural‐resource‐based view (NRBV) of the firm, we hypothesize that firms’ SO positively influences NPD success, because of efficiency gains and differentiation advantages. However, scholars have also argued that the win–win paradigm postulated by NRBV might not always hold because NPD managers might find it difficult to balance sustainability objectives with the needs of their customer and the competitive dynamics in their markets. It is, therefore, proposed that market knowledge competence (MKC) is an important capability, which helps firms to balance social and ecological objectives with economic goals such as profitability and market share. Using data from 343 international firms from 24 countries that was collected by the Product Development and Management Association, structural equation modeling results suggest that (1) SO positively influences NPD and that (2) this relationship is partially mediated by firms’ market knowledge capabilities. The findings suggest that strategic‐level SO and MKC are complementary in that they help in balancing trade‐offs between sustainaility objectives and profitability goals. In this way, the study contributes to a better understanding of how critical NPD practices can help managers to translate firms’ SO into NPD success. The article concludes by highlighting implications for product innovation managers.     

Corporate governance and efficiency in banking: evidence from emerging economies

ABSTRACT

This article investigates the impact of corporate governance on bank efficiency across a sample of 139 commercial banks from 17 countries of Central and Eastern Europe during the period 2005–2012. Data on governance characteristics are hand-collected from banks’ reports. The empirical findings indicate that implementing rigorous corporate governance structures is associated with higher costs for banks and a lower level of efficiency. However, during the crisis, a tight governance mechanism significantly increases banks’ cost and technical efficiencies. We also show that prudent risk management is associated with both higher cost and technical efficiency for more capitalized banks, while rigid supervisory boards are linked with greater technical efficiency for more capitalized banks.     

On the equivalence of location choice models: Conditional logit, nested logit and Poisson

It is well understood that the two most popular empirical models of location choice - conditional logit and Poisson - return identical coefficient estimates when the regressors are not individual specific. We show that these two models differ starkly in terms of their implied predictions. The conditional logit model represents a zero-sum world, in which one region’s gain is the other regions’ loss. In contrast, the Poisson model implies a positive-sum economy, in which one region’s gain is no other region’s loss. We also show that all intermediate cases can be represented as a nested logit model with a single outside option. The nested logit turns out to be a linear combination of the conditional logit and Poisson models. Conditional logit and Poisson elasticities mark the polar cases and can therefore serve as boundary values in applied research.     

The spatial effects of trade openness: a survey

This paper surveys the literature on the implications of trade liberalisation for intra-national economic geographies. Three results stand out. First, neither urban systems models nor new economic geography models imply a robust prediction for the impact of trade openness on spatial concentration. Whether trade promotes concentration or dispersion depends on subtle modelling choices among which it is impossible to adjudicate a priori. Second, empirical evidence mirrors the theoretical indeterminacy: a majority of cross-country studies find no significant effect of openness on urban concentration or regional inequality. Third, the available models predict that, other things equal, regions with inherently less costly access to foreign markets, such as border or port regions, stand to reap the largest gains from trade liberalisation. This prediction is confirmed by the available evidence. Whether trade liberalisation raises or lowers regional inequality therefore depends on each country’s specific geography.     

Enlargement and the EU Periphery: The Impact of Changing Market Potential

We study the impact of changing relative market access in an enlarged EU on the economies of incumbent Objective 1 regions. First, we track the impact of external opening on internal spatial configurations in a three‐region economic geography model. External opening gives rise to potentially offsetting economic forces, but for most parameter configurations it is found to raise the locational attractiveness of the region that is close to the external market. Then, we explore the relation between market access and economic activity empirically. We simulate the impact of enlargement on EU Objective 1 regions. Predicted market‐access‐induced gains in regional GDP and manufacturing employment are up to seven times larger in regions proximate to the new accession countries than in ‘interior’ EU regions. We also find that a future Balkans enlargement could be particularly effective in reducing economic inequalities among the EU periphery, due to the positive impact on relative market access of Greek regions.     

Product Innovation Incentives: Monopoly vs. Competition

In contrast to Arrow's result for process innovations, we show that the gain from a product innovation can be larger to a secure monopolist than to a rivalrous firm that would face competition from independent sellers of the old product. A monopolist incurs profit diversion from its old good but may gain more than a rivalrous firm on the new good by coordinating the prices. In a Hotelling framework, we find simple conditions for the monopolist's gain to be larger. We also explain why the ranking of innovation incentives differs under vertical product differentiation.