Multihoming, content delivery networks, and the market for Internet connectivity

Peering points between different Internet service providers (ISPs) are among the bottlenecks of the Internet. Multihoming (MH) and content delivery networks (CDNs) are two technical solutions to bypass peering points and to improve the quality of data delivery. So far, however, there is no research that analyzes the economic effects of MH and CDNs on the market for Internet connectivity. This paper develops a static market model with locked-in end users and paid content. It shows that MH and CDNs create the possibility for terminating ISPs to engage in monopolistic pricing towards content providers, leading to a shift of rents from end users and content providers to ISPs. Implications for future innovations are discussed.     

Time-Varying Betas of German Stock Returns

The market model assumes stock returns to be a linear function of the market return. However, there is considerable evidence that the beta stability assumption commonly used when estimating the market model is invalid. In this paper we account for beta instability in German stock returns by allowing the coefficients to vary over time in estimation. For time-varying beta estimation we rely on the Flexible Least Squares approach, the Random Walk Model and Moving Window Least Squares. Due to our results time-varying estimation fits the data considerably better than time-invariant estimation and, hence, increases the efficiency of beta based risk measurement.Acknowledgements: The authors thank Stefan Mittnik, Christian Pigorsch, an anonymous referee and the editor for constructive comments.     

Optimal clearing arrangements for financial trades

Clearinghouses support financial trades by keeping records of transactions and by providing liquidity through short-term credit that participants clear periodically. We study efficient clearing arrangements for exchanges, where traders must clear with a clearinghouse, and for over-the-counter (OTC) markets, where traders can clear bilaterally. When clearing is costly, it can be efficient to subsidize OTC clearing by charging a higher clearing price for transactions conducted on exchanges. The clearinghouse then operates across both markets. Since clearinghouses offer credit, intertemporal incentives are needed to ensure settlement. When liquidity costs increase, concerns about default lead to a tightening of liquidity provision.     

Campaign dynamics of cognitive accessibility of political judgments: measuring the impact of campaigns and campaign events using response latencies in two German rolling cross section studies

Do campaigns matter? Based on two rolling cross-section computer-assisted telephone surveys conducted in the run-up to the 2009 and 2013 German Federal Election, we test whether we can detect campaign effects on the accessibility of voters’ judgments: how do response latencies of political judgments evolve over the course of campaigns? The study uses response latencies, i.e. the standardized time it takes respondents to answer a survey question, as a proxy measurement of cognitive accessibility of political judgments. If campaigns do help voters to make up their minds, we should be able to observe changes at the implicit level of response latencies. Do people answer questions about their voting behavior and political attitudes faster as Election Day comes closer? Our results suggest that attitudes towards candidates and voting intentions become more cognitively accessible during campaigns whereas the accessibility of party identification is conditional on the contextual features of campaigns. In addition we find specific short-term effects of TV debates.     

Strategic Communication through Social Media Influencers: Current State of Research and Desiderata

ABSTRACT

This article provides an overview of the current state of research in strategic influencer communication and highlights research desiderata. We conducted a systematic literature review of 39 peer-reviewed articles published between 2011 and 2018. Using Lasswell’s transmission model of communication as an approach to systemize communication acts, we identified, systematized, and synthesized main findings from existing literature. The review reveals a rag rug of fragmented research questions, combined with a lack of theoretical integration and a widespread methodological monism. Moreover, questions related to the implications of influencer communication for strategic planning are understudied. Hence, more research is required to understand underlying cause-and-effect relations and managerial implementation of strategic influencer communication. In conclusion, we encourage researchers to investigate the concept of social media influencer communication from a strategic communication perspective, including applying multidisciplinary approaches and a broader range of empirical methods, which would foster a deeper understanding of strategic influencer communication.     

New development: ‘Healing at a distance’—telemedicine and COVID-19

ABSTRACT

In extreme circumstances such as pandemics, the presence of patients in hospital emergency departments becomes untenable. Healthcare professionals and organizations worldwide are leaning on technology as a crucial ally to deal with the COVID-19 outbreak. This article focuses on the positive impact of telemedicine for helping service provision, from enabling virtual triage to mitigating the negative psychological effects of social isolation. The authors discuss the challenges and opportunities to telemedicine practices.     

Exploring the knowledge spillovers of a technology in an entrepreneurial ecosystem—The case of artificial intelligence in Sydney

New knowledge presents opportunities for commercial value and can hence be a critical asset for entrepreneurial ecosystems (EEs). In particular, general purpose technologies are major drivers of entrepreneurship. Thus, a nuanced understanding on technological knowledge and its spillovers among actors within an EE is warranted. Using knowledge‐spillover‐based strategic entrepreneurship theory, we propose to observe knowledge spillovers through the assessment of the knowledge bases of a technology in an EE. To do so, this article proposes to use three key sources of knowledge: publications reflecting the emerging knowledge base, patents representing the realized knowledge base, and startups showing the experimental knowledge base. This article uses secondary data sources such as Web of Science and applies the method of bibliometrics to illustrate how an assessment is carried out in practice by evaluating the artificial intelligence (AI) knowledge bases in Sydney from 2000 to 2018. The findings are summarized with an illustration of the evolution of the key actors and their activities over time in order to indicate the key strengths and weaknesses in Sydney's AI knowledge among the different bases. Contrary to expectations from the high potential of knowledge spillovers from a general purpose digital technology such as AI, the article shows that apparent knowledge spillovers are yet highly limited in Sydney. Even though Sydney has a strong emerging knowledge base, the realized knowledge base seems weak and the experimental knowledge base is slowly improving. That observation itself verifies the need to take strategic actions to facilitate knowledge spillovers within EEs. After the implications for theory and policy makers are discussed, suggestions for further studies are proposed.     

Extreme Uncertainty and Forward‐looking Disclosure Properties

This study investigates the effect of extreme uncertainty on disclosure behaviour by analyzing the quality and quantity of forward‐looking disclosures during the global financial crisis and pre‐crisis periods, controlling for other determinants of disclosure behaviour. Prior research has struggled to distinguish between the quality and quantity dimensions of forward‐looking disclosures. Also, the impact of the recent financial crisis on these forward‐looking disclosure attributes has not yet been examined systematically. We address this gap by exploiting the unique setting of German publicly traded firms. These firms must provide forward‐looking information within their audited financial statements, although relevant regulation is sufficiently vague to allow great variation in the quality, scope and quantity of forward‐looking disclosures actually observed. Using hand‐collected data from 2005 to 2009, we provide evidence of a significantly negative association between crisis and disclosure quality. This finding is robust to several different disclosure quality proxies and regression specifications. In contrast, we find no negative significant relation between crisis and disclosure quantity; rather, there is evidence that reported volume increases during the crisis. Our results are consistent with extreme uncertainty, as occurring during times of crisis, negatively affecting the quality of voluntary disclosures, while firms maintain or increase disclosure quantity, ultimately diluting the information density of forward‐looking disclosures.