Bitcoins,Blockchain und Distributed Ledgers

Cryptocurrencies such as bitcoin were invented to facilitate instant payment services without the need for a central bank or financial intermediaries executing payments. Using cryptographic functions, any user of the bitcoin system can transfer units of the virtual currency globally on an anonymous basis. However, financial supervisory authorities are about to increase regulation of virtual currencies due to concerns that the anonymous character of the system facilitates money laundering and the financing of illegal transactions. Nevertheless, the underlying blockchain technology, or in broader terms the distributed ledger technology, may revolutionise several industries. This paper illustrates the functioning and recent market developments in the bitcoin industry as well as the disruptive potential of the underlying technologies.     

Angebotsökonomie: wenig Innovation — viele Jobs!

Deregulation of labour markets through structural reforms as proposed by supply side economists has a negative impact on innovation and brings down the growth rates of labour productivity. This paper discusses why the Schumpeter II innovation model is functioning poorly with higher labour turnover. Deregulation of labour markets also changes power relations between capital and labour, which leads to lower wage growth. Panel data analyses show that a one per cent lower wage increase leads to 0.32-0.49% lower growth of value added per labour hour.     

Reflections on the Euro Area Fiscal Stance

Avoiding the mistakes of the past, when the good times were not used to build buffers, will be crucial to avoid countries again being forced to engage in a pro-cyclical fiscal tightening in the next downturn.     

Looking inside the spiky bits: a critical review and conceptualisation of entrepreneurial ecosystems

The concept of entrepreneurial ecosystems has quickly established itself as one of the latest ‘fads’ in entrepreneurship research. At face value, this kind of systemic approach to entrepreneurship offers a new and distinctive path for scholars and policy makers to help understand and foster growth-oriented entrepreneurship. However, its lack of specification and conceptual limitations has undoubtedly hindered our understanding of these complex organisms. Indeed, the rapid adoption of the concept has tended to overlook the heterogeneous nature of ecosystems. This paper provides a critical review and conceptualisation of the ecosystems concept: it unpacks the dynamics of the concept; outlines its theoretical limitations; measurement approaches and use in policy-making. It sets out a preliminary taxonomy of different archetypal ecosystems. The paper concludes that entrepreneurial ecosystems are a highly variegated, multi-actor and multi-scalar phenomenon, requiring bespoke policy interventions.     

The role of local embeddedness and non-local knowledge in entrepreneurial activity

The article investigates whether the history of individuals’ spatial relocation has an impact on their propensity to perform an entrepreneurial entry and post-entry performance of firms they start. By looking at entrepreneurs in the IT services sector in Swedish non-core regions between 1991 and 2010, the article investigates the interaction between individuals’ embeddedness in local networks and their exposure to external knowledge accumulation opportunities across different geographical settings, as well as its impact on their entrepreneurial activities. The results of the analysis suggest that individuals with broad spatial relocation histories are more likely to start IT firms in non-core regions, which, in turn, may be expected to survive longer. It is, therefore, claimed that non-local knowledge accumulated through spatial relocation is an important complement to embeddedness in local networks in non-core regions. This complementarity is further related to the evolution of the IT services sector over time.     

Effects of extent and diversity of alliancing on innovation: the moderating role of firm newness

The purpose of this paper is to show the varying effects of alliance portfolio size and heterogeneity on innovation in biotechnology firms. Previous literature has indicated that the number and heterogeneity of partners in an alliance portfolio might have positive effects on innovativeness. Yet, engaging in multiple and heterogeneous collaborations also raises managerial costs and complexity levels disproportionally, potentially causing detrimental performance effects. Analysis of a unique panel dataset suggests that engaging in many alliances generally has a positive influence on a firm’s innovation output. Furthermore, maintaining diverse alliance portfolios and a high extent of alliancing jointly affects a firm’s innovation output ?negatively. By additionally showing that younger firms benefit disproportionally from both alliance portfolio diversity and size, this study provides a more nuanced view of alliancing effects.     

Exchange and refund of complementary products

A common dilemma a consumer faces during product return pertains to the decision of exchanging the product or obtaining a refund. This issue becomes even more salient for durable goods, when the initial purchase involves complementary products from different categories. This research examines consumer’s trade-off decision between returning and keeping complementary products by exploring various retail actions (using umbrella branded products (UBP)) and customer characteristics. We also investigate the trade-off between product exchange and refund when consumer returns a product. We find interesting extensions to past research wherein UBP are returned less and result in greater exchange than refund. Furthermore, an interesting caveat is that higher degree of complementarity between UBP intensifies the impact of various factors on exchange as opposed to refund of products. Implications for retail managers and sales teams are explored.     

Setting prices in mixed logit model designs

We investigate different procedures to set prices in designs for choice-based conjoint analysis using the mixed logit model which captures latent consumer heterogeneity. Besides discrete attributes, we include a linear price term in the deterministic utility function thereby treating price as continuous variable. We consider two different price intervals and several price sets which contain either two or three prices. We compare these alternatives to set prices by simulating choices for different constellations on the basis of the mixed logit model. Furthermore, we generate ten designs simultaneously instead of just one. Using these simulated choices, we estimate the parameters of the mixed logit model in the next step. To reduce the needed sample size and computation time caused by accounting for latent consumer heterogeneity, we apply Halton draws and set a minimum potential design for prior draws. ANOVA with root mean squared error between estimated and true price coefficient values of individual consumers as dependent variable shows that using more extreme prices as interval bounds and one intermediate price positioned to the right of the interval performs best.