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We present results from two experiments that reveal significant gender differences in ordering behavior in the newsvendor problem. In high margin settings, males tend to order more than females, and they also tend to achieve higher profits. There are no gender differences in low margin settings. We show that the observed gender differences are partially driven by (or mediated by) gender differences in risk appetite. Males tend to prefer taking greater risk than women, and this leads them to order more in the newsvendor problem (in high margin settings). We show that the risk-ordering relationship is related to financial risk attitudes but not to social risk attitudes, and also that the effect is not driven by gender differences in affect, a likely alternative explanation for the results.

With permission of Elsevier

Argues that, despite their large investments in data scientists, and IT tools, many companies are struggling to capitalize on the massive amounts of data now available to them. Suggests that most managers are employing the conventional approach to designing and installing IT systems and this approach may not be appropriate for exploiting the tremendous amounts of data now available from internal and external sources. Notes that a big data or analytics project is likely to be smaller and shorter than a conventional IT initiative, such as installing an enterprise resource planning (ERP) system. Identifies five guidelines for taking an alternative approach to IT systems development: place people who will create meaning from the information at the heart of the initiative; unlock value from IT by asking second-order questions and giving teams the freedom to reframe business problems; equip teams with cognitive and behavioural scientists, who understand how people perceive problems and analyse data.; focus on learning by facilitating information sharing, examining assumptions, and striving to understand cause and effect; and worry more about solving business problems than about deploying technology.

In July 2010, André Glardon, who is the regional sales director of a major health care products provider in Spain, returns from an unpleasant customer visit. The head of administration to the Hospital de Gandía, one of his important customers, just delayed the order of two MRIs, making it almost impossible for André to reach his personal annual sales targets. External factors such as the health care reforms, the exploding costs of the health care system, a shift in the buying behavior of hospitals and increased economic pressures on hospitals, might be causing a fundamental shift in the industry. Through the implementation of new business models that address these issues. André and two friends developed a business idea and were wondering whether they should push this idea within their company or leave their company and launch the business on their own.

In this paper, we discuss the actual relevance of efficiency considerations in the EC practice of Article 102 TFEU cases. We first review final Commission Decisions published since 2009 as well as investigations opened during that period to identify enforcement priorities and the actual relevance of efficiency considerations and other objective justifications in the EU Commission’s practice. Thereafter, we contrast this practice with the business view on the actual relevance of pro- and anticompetitive motives, with a focus on low price strategies.

 

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Co-development alliances are formed to create new capabilities (technologies, products, services, processes, etc.) that partner organizations need in order to reach their goals. They involve the combination of competencies, and other intangible assets. These alliances typically face a high level of risks in terms of undesired leakages of confidential knowledge or failure to achieve the expected development. Relational quality, an important consideration in all alliances, is particularly key. Without it, partners might not be open enough to combine their knowledge effectively with the partners’. This article proposes a framework for defining, assessing, and monitoring relational quality in co-development alliances.