Business Models

The business model concept, although a relatively new topic for research, has garnered growing attention over the past decade. Whilst it has been robustly defined, the concept has so far attracted very little substantive research. In the context of the wide-spread digitization of businesses and society at large, the logic inherent in a business model has become critical for business success and, hence, a focus for academic inquiry. The business model concept is identified as the missing link between business strategy, processes, and Information Technology (IT). The authors argue that the BISE community offers distinct and unique competencies (e.g., translating business strategies into IT systems, managing business and IT processes, etc.) that can be harnessed for significant research contributions to this field. Within this research gap three distinct streams are delineated, namely, business models in IT industries, IT enabled or digital business models, and IT support for developing and managing business models. For these streams, the current state of the art, suggest critical research questions, and suitable research methodologies are outlined.     

Bond risk premia,macroeconomic fundamentals and the exchange rate

We propose a two-country no-arbitrage term-structure model to analyze the joint dynamics of bond yields, macroeconomic variables and the exchange rate. The model allows to understand how exogenous shocks to the exchange rate affect the yield curves, how bond yields co-move in different countries and how the exchange rate is influenced by interest rates, macro-economic variables and time-varying bond risk premia.Estimating the model with US and German data, we find that time-varying bond risk premia account for a significant portion of the variability of the exchange rate: apparently, a currency tends to appreciate when investors expect large capital gains on long-term bonds denominated in that currency. A number of other novel empirical findings emerge.     

Enhancing ecosystem services in vineyards: using cover crops to decrease botrytis bunch rot severity

Botrytis bunch rot is a disease that causes loss of yield and quality in many fruit and vegetable crops in temperate climates worldwide. The rot is caused by the fungus Botrytis cinerea, a saprophytic necrotroph. In grapes, the presence of the fungus can reduce yield, taint wine and increase its sensitivity to oxidation. In the current work, inter-row phacelia and ryegrass were mulched in situ in winter 2005 and compared with a bare ground control. The mulches were applied under 10-year-old Chardonnay vines in a 10-replicate randomized block design in New Zealand. Functional soil biological activity increased by 1.5–4.5 times in the two cover crop treatments compared with the control, an effect related to elevated soil moisture in these treatments. This increase in soil moisture and a higher rate of soil biological activity increased vine debris degradation, reduced B. cinerea primary inoculum on the debris and decreased B. cinerea severity at flowering (December 2005) and harvest (April 2006). These results show the potential of mulched cover crops to enhance soil ecosystem services, reduce variable costs and improve the sustainability of viticulture and potentially other agricultural systems, in temperate climates worldwide.     

Book review

This paper examines the causes of market concentration in advertising-supported online markets such as sports, news, and email. In particular, it is the first paper to explore the relationship between concentration and product differentiation, economies of scale, market size, advertising, content costs, and multi-market ownership in online markets. As expected, differentiated large markets with low content costs and little multi-market ownership are less concentrated. Furthermore, I show that advertising-supported online markets have much in common with the magazine industry.     

Assessing systemic risks and predicting systemic events

The paper develops a framework for assessing systemic risks and for predicting systemic events, i.e. periods of extreme financial instability with potential real costs. It contributes to the literature on the prediction of financial crises mainly in two ways: first, it uses a Financial Stress Index for identifying the starting date of systemic financial crises. Second, it uses discrete choice models that combine both domestic and global indicators of macro-financial vulnerabilities to predict systemic financial crises. The performance of the models is evaluated in a framework that takes into account policy maker’s preferences between missing crises and issuing false alarms. Our analysis shows that combining indicators of domestic and global macro-financial vulnerabilities substantially improves the models’ ability to forecast systemic financial crises. Our framework also displays a good out-of-sample performance in predicting the ongoing Global Financial Crisis.     

The US Wage Phillips Curve across Frequencies and over Time*

Although widely used in many areas of applied sciences, wavelet analysis has not fully entered the economic discipline yet. In this article we apply wavelet analysis to one of the most investigated relationships is in empirical macroeconomics: the relationship between wage inflation and unemployment. Using US postwar data we find a frequency‐dependent relationship of a sort that is consistent with Phillips’ original insights. It also turns out that this relationship is remarkably stable over the 1948–93 period, but not in the aftermath, as a consequence of a process of adaption of the wage formation process to a low inflation environment.     

刍议跨国并购交易中的几个关注因素

在全球经历了五次并购浪潮后，越来越多的中国公司希望通过跨国并购的形式寻求海外投资机会，实现跨越式发展。有鉴于此．中华咨询与美国波士顿商学院联合进行了跨国并购领域的专项研究，     

Environmental Mutual Funds: Financial Performance and Managerial Abilities

For 15 years, former assistant football coach Jerry Sandusky used his Penn State University perquisites to lure young and fatherless boys by offering them special access to one of the most revered football programs in the country. He repeatedly used the football locker room as a space to groom, molest, and rape his victims. In February 2001, an eye-witness alerted Penn State’s top leaders that Sandusky was caught sexually assaulting a young boy in the showers. Instead of taking swift action against Sandusky, leaders began a cover-up that is considered one of the worst scandals in sports history. While public outcry has focused on the leaders’ silence, we focus on the talk that occurred within the organization by key personnel. Drawing from court documents and internal investigative reports, we examine two euphemism clusters that unfolded in the scandal. The first cluster comprises reporting euphemisms, in which personnel used coded language to report the assault up the chain of command. The second cluster comprises responding euphemisms, in which Penn State’s top leaders relied on an innocuous, but patently false, interpretation of earlier euphemisms as a decision-making framework to chart their course of (in)action. We use this case to demonstrate how euphemistic language impairs ethical decision-making, particularly by framing meaning and visibility of acts, encouraging mindless processing of moral considerations, and providing a shield against psychological and material consequences. Further, we argue that euphemism may serve as a disguised retort to critical upward communication in organizations.