Patenting Activities and Firm Performance: Does Firm Size Matter?

Whereas prior research has provided valuable insights into the willingness of small and medium‐sized enterprises (SMEs) and large firms to engage in patenting, a comparison of the performance implications of patenting activities across small and large firms is still lacking. This gap is important because SMEs and large firms, having different resources and capabilities, might benefit from patenting activities in different ways. In particular, SMEs can be expected to benefit less from patenting activities in terms of protection against imitators than large firms. On the other hand, the propensity and ability of SMEs to license out their patents and generate additional revenue streams might be relatively higher than that of their large counterparts. This paper studies the impact of patenting on licensing, innovation, and financial performance for both SMEs and large firms, using multiple‐group path analyses on a sample of 358 manufacturing firms. Contrary to expectations, this study demonstrates that not only large firms, but also SMEs benefit from patenting in terms of commercializing product innovations. Moreover, for both SMEs and large firms, such increased innovation performance in turn contributes to higher profit margins. Patenting activities also increase the ability of SMEs and large firms to license out knowledge to external parties, and this positive effect is significantly stronger for large firms. However, neither in SMEs nor in large firms, these outward licensing activities generate short‐term financial benefits. Finally, the study demonstrates that patenting activities do not trigger significant cost disadvantages for either SMEs or large firms. Jointly, these findings provide unique insights in the value‐generating and cost‐increasing effects of patenting, suggesting that not only large firms, but also SMEs should consider patenting as a viable strategy to fully reap commercial benefits from their innovation activities. At the same time, they temper open innovation scholars’ expectations regarding the financial benefits of licensing out knowledge. Overall, these findings point to opportunities for optimizing the intellectual property management of both SMEs and large firms.     

Strategic Technology Alliances: A Way to Innovative Enterprises in Russia?

This article examines whether, how, and to what extent international technology partnerships of Russian enterprises and research institutes contribute to their technological capability building. It presents results obtained by analysis of both a unique survey of Russian enterprises and research institutes co-operating with Western partners in seven selected high-technology fields and four Russian regions with a high concentration of R&D, and additional evidence from 16 in-depth interviews with managers of such Russian high-technology entities (HTE).     

Shareholders' choice

We address the question of which production decisions are reached via shareholder voting, if the firm's shareholders disagree. The median-voter approach is applied. Three dichotomies are explored: the one-man-one-vote versus the one-share-one-vote rule, naive versus sophisticated investors, before- versus after-trade voting. Novel asymptotic results are obtained.     

Enhanced Annuities – Produktinnovation als Lösungsstrategie für das Annuity Puzzle?

The private annuity markets are traditionally small even though annuity products have many favorable properties from a theoretical point of view. In this paper, the discussed approaches to the so-called annuity puzzle are examined and evaluated. In particular, adverse selection has been repeatedly held responsible for the annuity puzzle. Thus, it is investigated if enhanced annuities can eliminate or reduce problems on the annuity markets caused by adverse selection. It is shown by a modeling approach that – depending on the superior knowledge of the insured – a first-best-solution can be implemented by offering enhanced annuities.     

Economic geography and emerging market clusters: A co-evolutionary study of local and non-local networks in Bangalore

The presence of network ties within location plays a significant role in organization and evolution of clusters. This has proven to be particularly true for clusters specializing in knowledge intensive industries, where the organization of resources – people and technology – has been a primary driver for firm and regional performance. With the help of a longitudinal case study of the Bangalore IT cluster in India, we investigate the effect of local and non-local network ties on its evolution. We argue that networks – both local and non-local – play an important role in the development of cluster. We propose a non-linear relationship between cluster evolution phases and the type of network ties most prominent. Our study also outlines the role that embedding, expansion, and extension of ties plays in transitioning cluster from one phase to the other. The consideration of non-local ties is rather nascent in the cluster literature and promises to enhance the understanding of how clusters develop at both levels – policy as well as firm.     

Shareholder Value: Principles, Declarations, and Actions

This paper is about shareholder value. We examine whether welfare considerations justify that target and whether competitive markets force firms to pursue it. We also argue that shareholder value is strictly an ill-defined goal. We report evidence from a large sample of listed firms across the world that many managers do not even mention shareholders in their mission statements. However, firms that do disclose a commitment to shareholders seem to perform better in terms of stock price and operating performance.     

Guidelines for choosing between multi-item and single-item scales for construct measurement: a predictive validity perspective

Establishing predictive validity of measures is a major concern in marketing research. This paper investigates the conditions favoring the use of single items versus multi-item scales in terms of predictive validity. A series of complementary studies reveals that the predictive validity of single items varies considerably across different (concrete) constructs and stimuli objects. In an attempt to explain the observed instability, a comprehensive simulation study is conducted aimed at identifying the influence of different factors on the predictive validity of single versus multi-item measures. These include the average inter-item correlations in the predictor and criterion constructs, the number of items measuring these constructs, as well as the correlation patterns of multiple and single items between the predictor and criterion constructs. The simulation results show that, under most conditions typically encountered in practical applications, multi-item scales clearly outperform single items in terms of predictive validity. Only under very specific conditions do single items perform equally well as multi-item scales. Therefore, the use of single-item measures in empirical research should be approached with caution, and the use of such measures should be limited to special circumstances.